Anthony Nielsen (3:20)

This was mind blowing.

Jeff Jarvis (3:21)

Yeah, you really launched something into the world that people I think immediately groked and got very excited about. We had no idea what we were going to see. Three years later, Ahmad's written a new book, the Last Economy, that talks about this revolution. That's really what I want. Not, I didn't want to go back to the past. I wanted to talk a little bit about what you see as the future. You talk about the four big economic inversions and this would be the fourth. You even say the fourth and final economic inversion, the pattern that breaks the world. What are you talking about when you say the intelligence inversion?

Ahmad Mostaq (4:02)

Yeah, I mean like you said about 30 years and AI years has passed since that was released and now we're at this tipping point.

Jeff Jarvis (4:08)

So is this 10 to 1? Okay, that's good to know. I'm going to keep track of it. I think it's about it.

Ahmad Mostaq (4:12)

It's about 10 to 1. It certainly aged me a lot.

Anthony Nielsen (4:16)

You don't know age.

Jeff Jarvis (4:18)

You're not alone.

Ahmad Mostaq (4:19)

You actually nanobananapro just came out today, which might be the mind boggling.

Jeff Jarvis (4:25)

It is mind boggling. But there's a critical difference between what Google is doing. And admittedly Gemini 3 and Banana Nanobanana 3 Pro are amazing. We were playing with it yesterday and it generated an image like that. It's really fast, but it's different. In fact the difference. Well, let me give you a chance to finish the the economic inversions. And then I want to talk about the word diffusion because that's critical to the whole thing. So what is happening? What is this economic inversion?

Ahmad Mostaq (4:58)

So through history the whole of our economy shifted. So it used to be that you had some land and you farmed on it. Then we kind of moved into the factory world, this kind of industrial inversion. And then we moved into service sector jobs. And the final thing is this intelligence inversion whereby effectively what's going to happen now is as we move from these models that can one shot things to longer range agents in the next three years or so, we are no longer the smartest things on the planet. We're no longer the most economically valuable things on the planet. In fact, our Cognitive labor is probably going to have negative value because we'll be the dumbest people on any team. And so that's what we call the intelligence inversion.

Jeff Jarvis (5:41)

That's a little depressing. It is.

Ahmad Mostaq (5:45)

You know, it's not never nice to be the like one that drags everyone behind.

Jeff Jarvis (5:49)

I have to say though, there's not a lot of evidence yet. I mean the. I certainly don't feel dumb compared to even the very smart output of chat GPT3, it's amazing what it could do. But it's not a general intelligence.

Ahmad Mostaq (6:05)

Oh, definitely not. I think the difference here is that we're moving from the last three years has been about prompt to output. This is the magic, right? But it was like having a really smart buddy that you tap on the shoulder and you're like hey, can you give me this? And then yeah, blob. Now what we're doing is moving into multi hour long agentic processes that are proactive. I've made websites before and now I go on replit and a week ago they look terrible and purple and all sorts of things. Now it can build fully dynamic interactive websites on the fly with Gemini 3 in one week. That's been the shift. The actual building takes like two minutes.

Jeff Jarvis (6:42)

Is it the deep thinking is that what's making the difference?

Ahmad Mostaq (6:46)

It's these agentic flows that are proactive. With verifiers what it means is that you have an output and then it can adjust its own prompt in its own context to be proactive.

Jeff Jarvis (6:56)

It's a cycle.

Ahmad Mostaq (6:57)

It's a cycle. And economically valuable work isn't tasks single tasks like make this image, make that it's. I want to do a marketing campaign and bringing that all together and letting it go is what causes the real economic value. I think very few jobs have been lost due to AI so far. That's about to change literally in the next one, two, three years.

Anthony Nielsen (7:17)

And where does that. Where? There's a lot of speculation including from AI companies about where that starts. Where do you think the first. What's the first? As a snowball becomes an avalanche, who gets hit first?

Ahmad Mostaq (7:31)

So this is the crazy thing, like there are some things like call center jobs for example, which obviously have to be first to go. Like yesterday we had Grok 4.1 fast being released and it scores 98% on Tao bench, which is basically a customer service agent benchmark and it's 50 cents per million words. And so you think like okay, that's probably going to go. But then the crazy thing is that these models have economies of scope. So one Nano Banana or Gemini or Quen model can do so many things and it's less about the models themselves and the jobs and more about the mechanism of diffusion. Because there isn't that much difference to training a tax accountant to a graphic designer in terms of the process of training and then changing and the data collection aspect of that. It's just how does that happen? And the way it happens in my opinion over the next couple of years is your company looks at everything you've said and created remotely because keyboard, video, mouse, remote jobs are the first to go and it builds a digital doubler view and then no one can tell the difference. You can even zoom call you or chat to you and things like that. And these models can do that in a general way. First thing to go is the remote jobs. Anything that can be done fully remotely. Those are most at danger and there's a lot of those.

Anthony Nielsen (8:53)

I'm completely fascinated by the idea of the digital double, the digital twin. Jensen Wong talks about this in practically every one of his keynotes, which I. I watch them like they're movies. Fascinated by them. And it strikes me as a really fascinating idea that as you can look at alternative futures for a factory or a warehouse or a car, we'll be able to do that in a sense with our lives. It strikes me is that here's other ways things can turn out kind of. It almost strikes me like there's a matrix and we're not in it. We can visit it once in a while. I'm curious about your view of that digital twin value. Is that one model that will, because you just kind of said that, is that you'll have this twin that is you that can do what you do well. Will we see that as a good thing or a bad thing or an aid or how does that work?

Ahmad Mostaq (9:54)

It can be both either. You know, like again, companies, you don't really want to fire people. You know, you want to actually be more effective first. And when the economy is good, that's.

Jeff Jarvis (10:04)

You need to tell that to the tech industry because they had a year of firing people.

Ahmad Mostaq (10:09)

I mean they hired a lot of people post Covid. Right. And so on trend, it's still pretty much normal.

Jeff Jarvis (10:14)

Okay.

Ahmad Mostaq (10:15)

It's just a lot of high growth companies have stopped hiring. Eric Binlostenson had that study recently showing that early stage hiring may be slowing down, but we haven't really seen it massively because people are just more productive. I think the thing here that's really scary though is people don't understand how cheap a unit of intelligence has become. When GPT3 came out, it was $600 per million tokens. So it's about like 1.3 tokens a word. These are little blocks that we chop up. Now. GPT5 was $10 and the latest Grok models are 50 cents. Now what does that mean? If you add up the total amount of words you speak in one year, it's 10 million. So it's 5 bucks on Groq. The total amount you think is 10 times that, 100 million. So about 50 bucks. And these tokens are getting smarter and smarter. So when you actually look at how much it costs to replace an accountant and all the cognitive labor they do and extrapolate it a year or two, the answer is about 10 bucks a year.

Jeff Jarvis (11:14)

It's not just token output though, it's also context. And this is one of the issues. You have to have enough context to store all of the information about you that you want the AI to use. Right?

Anthony Nielsen (11:26)

Yeah.

Jeff Jarvis (11:26)

How do we solve that?

Ahmad Mostaq (11:28)

When you train the models really well, they can understand context really, really well. That's why it was Language models are few shot learners was one of the original papers that kicked this all off the original Google paper.

Jeff Jarvis (11:38)

Right.

Ahmad Mostaq (11:39)

You train a generalist model through curriculum learning, like taking it through school and then it can learn things really quickly, like stable diffusion, learnt your face and made you into an astronaut and things like that.

Jeff Jarvis (11:49)

Right.

Ahmad Mostaq (11:50)

And if you look at the total amount of knowledge that needs to go into the latest models, from language and operational processes to Sunday Robotics had a new way of doing the manipulation via just cameras on the hands, it's actually relatively small. Once you get the architectures right and once you get the pre training right and the error rates have basically gone from like 30, 40% down to almost zero literally in the last quarter or so. So that's why it could learn new tasks so quickly.

Jeff Jarvis (12:20)

One of the things we were amazed at last week playing with chat GPT, sorry, Gemini 3 is that it knew events up to the minute it was able to. It was so much smarter than previous models, which did you know, said, well my model ends in 2024, so I have no idea about that. And then it would hallucinate is that what we're seeing is that it's able to, you know, absorb more information in a more efficient way.

Ahmad Mostaq (12:47)

Yeah. And it's smarter as a start and it can absorb more information smarter. And GPT5 was the first one that literally had a drop in hallucinations from 20% down to the single digits 2 or 3%. But then something like a Gemini 3 has a 2 1, 2 I think a million token context window, which means that you can upload a million like almost a million words of context in one go and they can just analyze that once. And there's the cost for the first lot of that. Like uploading a code base and typical code base is about 200,000 tokens. But then there's something called cached learning effectively whereby once you've translated that code base or that instruction manual into AI vectors as they're called, the next query is 10, 20 times cheaper and faster. You just have to do the differences. So that's why these things are falling in price so much even as the per unit token intelligence is increasing. And then that means that to replace a virtual worker in a year probably be a few hundred bucks including the video streaming where you can zoom call them or talk to them on the phone 11 lab style and things like that.

Jeff Jarvis (14:01)

Douglas Adams said the first person people were going to send into to another planet will be the telephone sanitizers and the customer service. So maybe AI will help us in his dream. Maybe actually telephone sanitizers will need. I don't think AI can replace them. Whether they need to be exist in the first place, I don't know.

Ahmad Mostaq (14:19)

So that means lots of robots coming, eh?

Jeff Jarvis (14:22)

Yeah, that's right. You're right. Telephone sanitizing robots, here they come. So what does that mean for us as humans? Are we going to be replaced as workers? Certainly as knowledge workers, right?

Ahmad Mostaq (14:36)

I mean consciousness and computation are divorced for the first time. And any job that teaches you to be a machine, the machine will be able to do it better. And most jobs are that, right?

Jeff Jarvis (14:46)

Yep. Robots have replaced assembly line workers in.

Ahmad Mostaq (14:50)

Auto factories, but now it's the cognitive input of unstructured stuff. Like very few jobs require you to be that creative, really. And even when you're talking about creativity, I mean K Pop outperforms like top notch music, right? Like people know what they want to consume.

Jeff Jarvis (15:05)

Okay, we have some K Pop fans in the audience, so Ahmad doesn't mean to insult you, but I agree, I.

Ahmad Mostaq (15:11)

Agree, it's all good. I went to a sing along K Pop Demon Hunters on the weekend.

Jeff Jarvis (15:14)

Did you? Oh, how fun.

Ahmad Mostaq (15:16)

Premium mediocre, you know, like K Pop, Taylor Swift, all of this. It's premium mediocre.

Jeff Jarvis (15:22)

You know, that's good news because humans, I mean if you give a human a choice, they'll prefer a creative task to a boring repetitive task.

Ahmad Mostaq (15:29)

Well, this was the promise of technology.

Anthony Nielsen (15:31)

Right.

Ahmad Mostaq (15:31)

It would free us up for the higher things in life. But the key thing is what is our identity like? If your identity is tied up in your work and things like that, the material aspects, then you're in trouble. If you've got a strong community, strong faith, if you've got a strong family, then you're less likely to be affected by all of this. Right.

Jeff Jarvis (15:49)

Well, you did mention material aspects. You still have to buy food and pay rent. Who's going to give me a salary?

Ahmad Mostaq (15:57)

So this is why we need to rethink what money is. Because the other part of this, when you extend this, is how does a human company out compete a fully AI company? And then you look at what Elon is doing with Macro Hard, his new version of Microsoft. He's just going to create a million AI workers and they're going to be selling SaaS solutions and they're going to be selling databases and all these things. You won't be able to tell. That's what Microhardt is doing. Yeah, that's the real total addressable market for this trillion dollars of spending on all these GPUs. Each GPU replaces 10 cognitive workers.

Anthony Nielsen (16:31)

So this weekend I went to what turned into a debate between adam Brown at DeepMind and Yann LeCun who just announced yesterday finally that he, he is leaving Meta. And as you know, DeepMind and Adam were arguing the case that scale will get us everywhere and that look at the velocity and look at the vectors where we on and if we just throw more scale at it, we'll be there. Jan has been disagreeing with that and saying that LLMs hit a dead end, they can only do so much and that real world modeling is the necessary next paradigm and next step. Where do you stand on that debate of scale versus research in new paradigms and new categories?

Ahmad Mostaq (17:13)

So I think there's this concept of satisficing, right? Good enough, fast enough, cheap enough to replace machine type jobs. I think we're there. I don't think you need to have any more breakthroughs. Scale was a substitute for terrible quality data in these models. Model data was terrible. It's like Seuss fitting a steak, right? Right now we're seeing more and more efficient ones and the low end of how much it actually needs of energy for a unit of work is incredibly low. We built a 7 billion parameter medical model that performs at ChatGPT levels on healthcare. That's tiny. It runs on a Raspberry PI. Yeah. So it scores 48% on health bench, which is OpenAI's health kind of benchmark, human doctor scored 20%. So it's like, how much energy is that? That's like a Raspberry PI. Plus 5 watts of solar will get you a better than human doctor diagnostician. How crazy is that? Right?

Jeff Jarvis (18:09)

Still using LLMs.

Ahmad Mostaq (18:11)

Still using LLMs. LLMs are good for certain types of tasks. Diffusion, I think will win out over that for various.

Anthony Nielsen (18:17)

That was my next question to you. Ye play that out.

Ahmad Mostaq (18:21)

But if we just kind of finish this thought. If you're trying to build AI, God, that can do everything. All singing or dancing. Yeah. We need to have different approaches. If you're trying to replace an accountant. Not really.

Anthony Nielsen (18:33)

Right. So it's not one master AI. It is a whole army of AIs that are able to do certain things better than the accountant.

Ahmad Mostaq (18:45)

Yeah. I mean, again, like we're seeing it right today. Or you're seeing again, people listening to this can go to Nana Banani. Like that's a graphic designer job gone.

Jeff Jarvis (18:52)

Right.

Ahmad Mostaq (18:52)

You know, you can upload your style guide. You can upload up to 14 different things and it will do it. And you're like, that is a unit of economic work. And then when you use that in a replic type agent or an II agent, our version, then you can see how that's going to start replacing economic work. But will it discover the mysteries of the universe or advanced chemical sciences? No, but come on, you know, like, that's different.

Jeff Jarvis (19:17)

We're talking to Iman Mostaq. He is the guy who created stability. AI brought us stable diffusion three years ago. His current company is intelligent Internet@I.inc and you can get his book the Last Economy right there. He's giving it away. It's in ePub versions, PDF versions. He's even. I think this is interesting providing in Notebook LM version a Chad and a ChatGPT version and a Claude version. So if you want to read the summary instead of the book, it's also possible.

Anthony Nielsen (19:47)

Or if you want to interact with it and quiz it.

Jeff Jarvis (19:49)

And quiz it. Yeah. I would say read the book first and then use NotebookLM to ask questions. But fortunately we don't have to do that because we've got a mod here. This is very encouraging. Two weeks ago we talked to Kevin Kelly who said the future of AI is little AIs everywhere. Just in the way that computing has gone to the edge. We're going to see AI in the edge. Is that what you're talking about?

Ahmad Mostaq (20:12)

Well, I think it can be Right. And this is going to be really interesting because everyone forgets about the Jarvis future, right?

Jeff Jarvis (20:18)

Like right now, we have Jeff Jarvis here right now. What is the Jarvis?

Anthony Nielsen (20:22)

Let me tell you what the future is.

Ahmad Mostaq (20:24)

The Iron Man Jarvis future.

Jeff Jarvis (20:26)

Yes. Oh, that Jarvis.

Anthony Nielsen (20:27)

I know.

Ahmad Mostaq (20:28)

I mean, who's like, I want to walk into my house and have Paul Bettany talking to me?

Jeff Jarvis (20:32)

I do. That's why I bought the Framework desktop, because I want a local LLM. But I'm running 120 gigabyte model on it. The OSS GPT OSS on it. That's huge. And it's slow. It's 20 tokens a second. You're saying I could run on this machine, I could run something much, much smarter enough to be a Jarvis?

Ahmad Mostaq (20:54)

Well, I mean, if you'd got a MacBook M4 Max, then you'd be running that over 100 tokens a second.

Jeff Jarvis (20:59)

Right?

Ahmad Mostaq (20:59)

Like again, we can have optimized versions of this, right? But the whole thing is this, in a few years we will have an AI that's our best buddy for all of us. And that might be an Edge one or it might be Claude eight or Grok nine. And that's got a huge impact on the way we will view the world, the way that our own cognition behaves and more. Because these AIs will be the most persuasive things in the world that we've ever seen already in studies, like they did a study on Reddit where they created a Black anti Black Lives Matter Persona and all sorts of others last year. It's called 98th percentile and persuasiveness. The new models, you know, will smash that. So I think when you're thinking about Edge, when you're thinking about that the defaults that emerge now are going to be so, so important in the way these go. And then the architectures right now are all about the same. But I think you will see a big differentiation in what those architectures look like to suck up this ridiculous amount of compute coming.

Jeff Jarvis (21:55)

Because are we overbuilding the compute for LLMs?

Ahmad Mostaq (21:59)

Yes. LLMs I don't think will require much computer.

Anthony Nielsen (22:02)

So will this be like fiber being overbuilt in the day, that this could turn into, it could turn into the bubble bursting, or it could turn into an asset that we find new uses for?

Ahmad Mostaq (22:12)

No, every pixel will be generated in a few years. And so the vast majority of compute will be diffusion models which do media, which do self driving cars, which will do economic planning and more LLMs themselves. Once you Actually optimize. The data are very, very small. And the way you can think about it is a code base. An average program is 100 to 200,000 lines of code. You know how you see those things of Gemini one shotting it? In a few years it will definitely be able to one shot any reasonable program. So the cost of building that will be $0.01.

Jeff Jarvis (22:46)

When you extrapolate that. Some have said though that it's rebuilding programs because it's seen all the previous versions. Can these AIs create new ideas? Can they be creative?

Ahmad Mostaq (22:59)

Well, it depends on your definition of creativity.

Jeff Jarvis (23:01)

Right.

Ahmad Mostaq (23:01)

Like again, is K Pop Demon Hunters creative? No.

Jeff Jarvis (23:07)

I mean that's. It is though it's generative in the sense that it takes things and mushes them. I mean that's what stability diffusion did, right? Yeah.

Ahmad Mostaq (23:17)

I mean the way that these models work is that you take the image and then you have a process where you add noise to basically destroy it back to its the tiniest possible form. And then you have a reconstruction process and it learns that process and that works with self driving cars and it works for Sora 2 and all sorts of other things. And it just does that all day long. These models learn principles. That's why they have the concept called the latent space of these concepts. And the way they all come together, it isn't an if this then that type of logic flow, it's more like a filter or a sieve that you push it through. So when you kind of look at that, it becomes really interesting to think about how things are going to be going forward. Because like I said, for language, which is a very low dimensional output, these models are getting better and better and better. So you have less and less steps to get to your desired outcome. When it comes to creativity and filling in the gaps and concepts like that, creativity is usually within a context. So if you have Barbie and Oppenheimer and you make Barbenheimer, that's creative, you know, within a certain context.

Jeff Jarvis (24:22)

Right.

Ahmad Mostaq (24:23)

But then again, if you want to have material sciences breakthroughs and mathematical breakthroughs, that feels a bit different. Where you need different verifiers, it's all about the verifier. How can you verify if something is creative, if something has market value? That's the really interesting question that we're moving into now.

Anthony Nielsen (24:44)

You're a good advocate for diffusion and nobody better than you are. LLMs sucking up too much oxygen in the air or investment or resource today versus diffusion. Is there a misalignment of prioritizing resources? There in research and in development, I think.

Ahmad Mostaq (25:03)

In research, yes. Again, diffusion coding models like you've seen from Stefano Amon's new lab and others like that for code, they're almost instant in the way they output. But what happens is most labs now that do media like Sora 2 is a diffusion transformer. So it merges the, mixes the best of the two together. So I think that the hardware itself can do both. But like I said, my view is that the amount of compute going to transformers is actually going to shrink because they're going to get more and more efficient and satisfice the amount going towards diffusion is going to grow because every pixel will be generated by next year. You have Hollywood level movies created almost on the fly.

Anthony Nielsen (25:45)

So what do we do about this? What do you do? What do you recommend about the cultural, economic labor resistance in New Zealand? Two books were on the, on the list to be given an award and they got taken off because their covers were generated by AI. The authors didn't do it.

Jeff Jarvis (26:02)

That's absurd.

Anthony Nielsen (26:03)

The publisher did it. Right. And, and I'm in journalism and, and so I, I hear a lot of pearl clutching about where AI goes. And so there's, there's a, there's a cultural issue here. And, and the, the PR of the AI industry is not necessarily tip top all the time. And they're also the ones who argue paradoxically that we're going to rule the world and destroy the world. And so it's a really interesting cultural shift here. How do you see that coming as people lose jobs, as people resist? How do you show the benefits in opposition to that fear?

Ahmad Mostaq (26:45)

So I think if we start with the fear, I know a lot of AI leaders now have canceled all public speaking because they're basically saying next year is the backlash because next year the jobs start to go. You can kind of extrapolate that from the agents and find that out. And that's because again, they're not doing the positive side of things. Like again, this technology can be, we have enough food in the world, we just don't know how to get it to people. We have enough knowledge in the world, we just don't know how to get it to people. Having like one of our targets is by next year, with our new version of our medical model, every single medical decision in the world will have a second diagnosis and that will be free and it will work on a 10 year old computer. Like that's a really positive use of this technology. But then you can't deny it. For example, when you know, you have to shoot a scene once in a movie and then you can use nano banana video 5 in a couple of years to redo that from any angle and adjust the acting performances. A lot of jobs in LA are going to go.

Anthony Nielsen (27:45)

Yep.

Ahmad Mostaq (27:45)

And a lot of jobs in anything production based is going to go.

Jeff Jarvis (27:50)

Do we have ubi? How do we, how do we feed people? How do we. You say there's sufficient resources.

Ahmad Mostaq (27:56)

There is, but things like UBI don't work because of the math. Like the entire US tax base right now, income tax and corporation tax is $5 trillion a year. If you gave every adult in America $16,000 a year, that's $5.1 trillion. And that's like poverty level, right?

Jeff Jarvis (28:16)

Right.

Ahmad Mostaq (28:17)

The entire corporation tax base of America is only $0.9 trillion. Like even if you tax LLMs, it's not going to work. So in the book, I propose we change the way that money actually flows. We give everyone a universal AI to allow them to achieve parity, and that's looking out for them as well because the alignment is important. And then we give people money for being human that the AIs then need to buy from us because they'll outcompete us capitalistically. Like fully AI companies. I don't know how you compete against them.

Jeff Jarvis (28:46)

So Caleb in our YouTube chat says, if you weren't back to college now, Ahmad, or you were a young person today, what would you study?

Ahmad Mostaq (28:57)

I would probably not go to college.

Jeff Jarvis (29:03)

Okay, what would you do? You wouldn't become a graphic designer, clearly.

Ahmad Mostaq (29:06)

No, I would use the AIs every single day, day in, day out. Because in the transition period of the diffusion, those that know how to use the AIs, like, what's going to be better and more likely to get you a job? Like one of the SORA leads. What he did is just built websites using AI and then analysis and other things using AI and he submitted that as his resume. Talking about it. That's far more likely to get you a job than being programmer number 15y. If you just use replit, suno all these things for an hour a day, then you're way ahead in a job or outside of a job.

Jeff Jarvis (29:38)

Hey, good news. I'm going to be able to get a job, Jeff. I use all of these at least an hour a day. Yeah.

Ahmad Mostaq (29:46)

You will marshal your millions of agents. Right. And then destroy your enemies.

Jeff Jarvis (29:50)

I will have an army of agents.

Ahmad Mostaq (29:52)

One of the things, one of the.

Jeff Jarvis (29:54)

Things you talk about, which I really like, is that we've got to find a way to make AI more democratic. In fact, you even talk about globally more democratic. The front page of intelligent Internet, your website, II.ink says, Sovereign AI for a new world. What does that mean?

Ahmad Mostaq (30:13)

So sovereign AI is kind of AI that is controlled and aligned with you. So part of it is giving everyone universal AI by the local champion model. Will this will release soon.

Jeff Jarvis (30:23)

Not free access to ChatGPT, not, you know, Claude on your desktop, but your own AI.

Ahmad Mostaq (30:29)

Your own AI, and I think you start with that. But then that AI can call on Claude, it can call on Gemini if it needs to. Like, I, I, I'm, I don't want my child being taught by ChatGPT.

Jeff Jarvis (30:40)

Right.

Ahmad Mostaq (30:40)

But I'm fine with her having an AI that can use ChatGPT.

Jeff Jarvis (30:43)

Yeah, yeah, that makes sense.

Ahmad Mostaq (30:44)

And so that control plane layer is so important, especially because our governments will be run by AI. You know, our cities will be run by AI. Healthcare will be managed by AI. That first AI that's next to us, our assistant AI, our Jarvis AI, or however you want to call it, is going to be the most important one. So I think that needs to be sovereign. It needs to be fully open source, it needs to be fully transparent, because the biases in the AI are crazy. And they're already selling latent space in the AI. So Google and Meta are already selling it so that if you say a beer, it says a Bud Light.

Jeff Jarvis (31:16)

Yeah, those are ads, basically.

Ahmad Mostaq (31:19)

And it turns out they have far higher conversion rates than Google Ads. So your Meta mates, or whatever they're going to call it, is going to be like, oh, you look a bit tired. You know, you want a beer, crack open a Bud Light, let me order it for you.

Jeff Jarvis (31:31)

We got to stop this and we got to nip this in the bud.

Anthony Nielsen (31:33)

Well, and meanwhile, media companies are determining themselves to be the victims of AI, and AI is the enemy. So they're cutting off AI. So journalism and media are being excluded from that conversation. And brands are rushing in as our disinformation forces are rushing in because they're, they're eager to be referenced by the AI. And we're headed toward a ridiculous imbalance there because of that.

Jeff Jarvis (31:58)

Resistance is the only defense. Me having my own AI, protecting me against that.

Ahmad Mostaq (32:02)

Yeah, from your cognitive. It's your only defense against cognitive colonialism.

Jeff Jarvis (32:07)

Yeah, I love this. I think this is brilliant. Tell me what I before we have to wrap it up, Jeff, because we, I mean, we could talk to him for hours, but we don't want to take too much of your time. We want you to get back to work. Tell us what you're doing@ii.inc.

Ahmad Mostaq (32:23)

We'Re just building full stacks for education, health, government and more. So we announced something sage.

Jeff Jarvis (32:29)

So these are small models, these are diffusion models. What are they? What are you doing?

Ahmad Mostaq (32:33)

So full stack. So fully open models are coming soon. But we just built the World's best agent, for example, score number one on Terminal Bench 2. And we're just going to give that free to everyone. Basically.

Jeff Jarvis (32:43)

When we, when we talked to Jeffrey Cannell at Noose, he, he was very excited, very worried about the fact that, you know, everything's based on Llama right now, Meta's open source AI. And he was worried what happens when Meta pulls the plug on llama. So this might be the solution. Right. Where do you start though? Do you start with llama? Do you start with somebody else's model?

Ahmad Mostaq (33:09)

Yeah, we start with other people's models because you've got to build the agentic framework first, then you build the high quality feedback data and then you train really optimized models from scratch that can be localized and reflect local culture, ethics, values and more. Because right now AI models don't even have any ethics programmed into them, not even the laws of robotics. And so we're like, someone should probably build that for the civic AI.

Jeff Jarvis (33:30)

You know, one thing people have said, and you quote benchmark results, you get excellent benchmark results already on many of these tiny models, is that it's possible to overfit for benchmarks. To really just put the answers in, I want to ask you, you're not doing that, are you? You're not training them to beat benchmarks?

Ahmad Mostaq (33:51)

Oh, no, we're not training them to beat benchmarks, but I'm trying to build something very different, which is education, health, government type AI, whereas everyone else is trying to build AI. God. And that's a very different challenge. That's not. You don't want your medical model to be trained on Reddit?

Jeff Jarvis (34:07)

No.

Anthony Nielsen (34:09)

Amen, doctor.

Paris Martineau (34:10)

Amen.

Ahmad Mostaq (34:11)

The really important models that make important decisions need to have fully transparent data and they need to be given as a human right to everyone. And then it could call on the other black box models for whatever.

Jeff Jarvis (34:22)

Right. One of the things you say in the last economy, which I love, is that a government that's run on AI will be updated daily. Your model will get better every single day. It's not stuck in time. It's going to always get better.

Ahmad Mostaq (34:35)

If you have self driving cars, have a self driving economy. Right? Why not?

Jeff Jarvis (34:40)

Okay, you know What? It makes people a little bit nervous. You're not a doomer, I take it.

Ahmad Mostaq (34:45)

Oh, My peer doom's 50%. I think we're probably going to die 50. 50. Because of all this. So we've got to do something about it.

Jeff Jarvis (34:52)

Ahmad, it's such a pleasure to talk to you. I've heard you, of course, many times on Moonshot Peter Diamandis podcast, and you did not disappoint. Ahmad brought us three years ago, the eye opening stable diffusion from stability AI. That was the beginning. For many of us, it's hard to believe it was only three years ago, but three years has been a lifetime and I can only imagine what's coming next. II.inc is his company, Intelligent Internet. And if you go there, you will find on the front page a link to the Last Economy, which is a guide to the age of intelligent economics. The inversion that's imminent. And I suppose if you're a young person, you probably should start thinking about what is next, because it's coming. The book is free and available online at ii.inc.

Ahmad Mostaq (35:46)

Actually, the craziest thing is. So the book, we had hundreds of agents analyzing it and we figured out a unified theory of economics from it. So I'll send you the paper.

Jeff Jarvis (36:00)

I'd love to see that. I'd love to see that. Wow.

Ahmad Mostaq (36:04)

Well, it's very straightforward. The best models to model reality are AI models. So what happens if you put them as your axiom in that any system that persists minimizes its surprise and loss function. You can derive all of economics from it.

Jeff Jarvis (36:17)

You started life as a hedge fund manager, as a finance guy. If you were finance right now, asking for a friend who's living on his retirement, that's based on the S&P 500, what would you do? What would you start your. If you were starting your career now as a hedge fund or a finance guy, what would you do?

Ahmad Mostaq (36:37)

I mean, I think again, it was just your comparative advantage is your access to structured intelligence. So the better you are at using multiple agents, the more valuable it's going to be.

Jeff Jarvis (36:48)

AI seems to have failed so far at predicting the market, though I haven't seen a model that can do as well as Warren Buffett.

Ahmad Mostaq (36:54)

Let's say there will be some. Maybe.

Jeff Jarvis (36:58)

Look at him. Look at him. Okay, and where would that be? Under releases, actually free to all of us.

Ahmad Mostaq (37:07)

We have something really interesting coming up. So we announced in Saudi something called the Sovereign AI governance engine. So it's like a couple of thousand Blackwells to analyze all global policy and laws and update them real time with new technology.

Jeff Jarvis (37:19)

Wouldn't it be great if all the laws worked together instead of in opposition to one another? Right, exactly.

Ahmad Mostaq (37:25)

So to implement that in universal AI, what we're doing for every single state in America and country, we're setting up state champions, capitalized at $1 free money, and then all the locals can invest in that. And then we get the smartest people from each state to build AI for that state to act as nodes on the network, and then we list all of those. So you'll have ii, Utah, ii, Delaware, ii, California, ii, Vietnam, et cetera. And it's going to be really fun to see how it operates.

Jeff Jarvis (37:51)

Wow.

Ahmad Mostaq (37:52)

The delta arbitrage on that's going to be ridiculous.

Jeff Jarvis (37:54)

Now, I understand why you're saying 50 50. Because this could go really right or it could go horrifically wrong.

Ahmad Mostaq (38:02)

Well, so in the book, I think I mentioned what happens if you get a viral cognitive stuxnet, right? You have the same latent space everywhere, and then someone basically has a prompt.

Jeff Jarvis (38:12)

And somebody will do that. Somebody will try to do this 100%.

Ahmad Mostaq (38:17)

And if the data is such a black box mess with 6 trillion or 80 trillion tokens for GPT OSS, 80 trillion words, then definitely the entire infrastructure will collapse. Like my standard way of us all dying is a billion robots and one bad firmware upgrade. That'll do.

Jeff Jarvis (38:35)

Yeah, we've seen it. We've seen it happen. First to aws, then to Azure, and then to get into Cloudflare. If they're independent, then that prevents that. Is that the idea? Or small.

Ahmad Mostaq (38:50)

You've got to build really resilient first architecture. Yeah. And you can abstract away all the front ends if you do it correctly. So the new version of II Agent that we're releasing in a month from now, you can just do all your front ends on the fly. And we're just making it more and more super resilient with its own complete architecture. So there's prompt injection, other kind of protections, because civic AI should be that way. And then you don't really need the Internet if you do it correctly. So that's why we called it the Intelligent Internet.

Jeff Jarvis (39:19)

And I can use your II Agent right now on my Mac.

Ahmad Mostaq (39:23)

Yeah, you can download it, you can use it on Terminal Bench. There's loads of updates coming. Like the next version, you'll be able to use up to, I think, 100 agents at once. And the CLI outperforms the other CLIs, et cetera.

Jeff Jarvis (39:39)

So since I already pay for anthropic and OpenAI. I could just plug those API keys in and now I've got a model.

Ahmad Mostaq (39:46)

You can log in with your anthropic Claude or your OpenAI codecs and then you've got a full stack replit using that subscription. It's pretty fun.

Jeff Jarvis (39:56)

I will do that. Yeah, I use Claude code all the time. I love it.

Anthony Nielsen (40:00)

Yeah.

Ahmad Mostaq (40:00)

So this will do that.

Anthony Nielsen (40:01)

That.

Jeff Jarvis (40:01)

Yeah.

Ahmad Mostaq (40:03)

I was like build the general ones and then let's build the really specific ones after. So we'll have the healthcare, education, government and other things. But then to implement. That's why I was like let's build the state champions. Like if.

Jeff Jarvis (40:15)

I think that's really interesting. Yeah.

Ahmad Mostaq (40:17)

Like, you know, we talked in Utah and massive interest there. Like if you have the locals getting in at $1, then the rich people can invest and you can do $75 million per state from Reg A and then the next round after that you get the Nvidia's and the Microsofts of the world to invest and then you list them. What's.

Jeff Jarvis (40:34)

What are you. Are you worried about the regulatory environment? I know President Trump is rumored to be working on a. An executive order prohibiting state regulation. No, because you want no regulation. Would that be the ideal.

Ahmad Mostaq (40:46)

Oh no, I think you should have loads of regulation. This stuff is so dangerous. That signed that damn letter a few years ago. But that's why I built a regulation engine. So we'll send you the link a few weeks ago that we announced in Saudi with Peter. Like literally we're building on thousands of Blackwells a regulatory AI, a policy AI that can say this regulation, this policy is unconstitutional. It's not in the interests of humanity. This is what happens when quantum advantage turns into quantum supremacy. These are the best standards, etc.

Jeff Jarvis (41:20)

How do you do alignment on something like that though?

Ahmad Mostaq (41:24)

Any way we want is the problem right now. This is why you need to impute the value and ethics of various communities. Right. And you need to again have curriculum.

Jeff Jarvis (41:34)

Learning, each distinct community. Yeah. That's why sovereign is so important.

Ahmad Mostaq (41:38)

I really think we, we're made up of the stories that drive us. Right, Right. And so you should have access to universal AI. But again, in Utah, 50 Mormon.

Jeff Jarvis (41:47)

Right.

Ahmad Mostaq (41:47)

That should probably reflect LDS type things.

Jeff Jarvis (41:50)

Right, Right. But I'm in California. That's very different.

Ahmad Mostaq (41:53)

Yeah, exactly. And so you would want your education AI to be done by a Californian.

Jeff Jarvis (41:58)

Right.

Ahmad Mostaq (41:59)

Or someone from San Francisco or la. And you want to be able to pick and choose what that looks like. Right. So that's why we're building that full stack and then we're going to proliferate these and then we use all that compute to secure our Bitcoin competitor because that'll be more diverse and a bigger compute than Bitcoin. But every coin sold then goes to Civic AI or Cancer AI or things like that.

Jeff Jarvis (42:21)

That's a whole other show I don't want to get into, but I love the concept of proof of benefit. I think that's a very interesting way to approach.

Ahmad Mostaq (42:29)

Yeah, I need to do it Robney. So look, I'll send you the paper, have a read. It's quite fun and like I said, it's a bit creepy though. And this is also why we'll have the next big leap. The biggest breakthroughs in AI aren't going to be really complicated things. It'll be really elegant things because the universe is elegant.

Jeff Jarvis (42:48)

Oh, I love that idea. Can we have you back in about a year so you can take a victory lap?

Ahmad Mostaq (42:54)

But sure. Happy to come back anytime.

Jeff Jarvis (42:59)

Ahmad, thank you so much for your time. I appreciate it. Thank you. Stock we will have more of Intelligent Machines. Paris will join us in just a moment as we continue right after this. This episode of Intelligent Machines is brought to you by the Agency Build the future of Multi Agent software with Agency AGN TCY now an open source Linux foundation project Agency is building the Internet of Agents, a collaboration layer where AI agents can discover, connect and work across any framework. All the pieces engineers need to deploy multi agent systems now belong to everyone who builds on Agency, including robust identity and access management that ensures that every agent is authenticated and trusted before interacting. Agency also provides open standardized tools for agent discovery, seamless protocols for agent to agent communication and modular components for scalable workflows. Collaborate with the best developers from Cisco and Dell and Google Cloud, Oracle, Red Hat 75 plus other supporting companies to build the next gen AI infrastructure together. Agency is dropping code specs and services, no strings attached. Visit agency.org to contribute. That's agntcy.org G We thank the agency for support first of all for doing what they're doing. An open source collective to really propel us forward. But we also appreciate your buying an ad on intelligent machines. And now ladies, gentlemen, she's back. Paris Martineau joins the show. Paris is in Florida for Thanksgiving.

Anthony Nielsen (44:41)

She's selling a few condos. While she's down there, I am at.

Jeff Jarvis (44:45)

The family compound where you will be roasting or I'm sorry, frying a turkey.

Paris Martineau (44:50)

Deep frying a turkey.

Jeff Jarvis (44:51)

Deep fat frying a turkey. It's very important. She's just back from media training. So now I'm extremely self conscious. Please do not criticize me.

Paris Martineau (45:01)

Wrecked eye contact with the camera and limiting my filler words.

Jeff Jarvis (45:07)

Please. And if you say kind of even once, you have to shock me. Me. I. Okay, I can. I have the means. I can do it. Let me just get my shocker button and my shocker button ready here. No, that's not it. That's not.

Paris Martineau (45:24)

That's a different kind of shocker.

Jeff Jarvis (45:31)

Careful. Wow. I don't. I don't know if I have the one.

Paris Martineau (45:36)

Wow. Leo is taking a moment to come up with a sound cue.

Jeff Jarvis (45:42)

Yeah.

Paris Martineau (45:42)

What a world.

Anthony Nielsen (45:43)

No, Fred Norris, you.

Jeff Jarvis (45:44)

The time is now 2am no, that's not it.

Paris Martineau (45:49)

If you're enjoying this part of the show, you should check out our Club Twit special. Dungeons and Dragons.

Jeff Jarvis (45:57)

I'm still living that down. So sorry. So sorry. Paris is an investigative reporter at Consumer Reports and appears regularly on major television networks. Is that right? Is that why you're getting media trained? Are you going to be a spokesperson for cr?

Paris Martineau (46:12)

No, it's just for. Whenever I do news hits like I did with my protein powder story. It's something that all employees, I guess, are supposed to do before they do their first media hit. But I had a banger right out the gate before it was breaking news. Breaking news. I had to do a lot of media hits before, which is.

Jeff Jarvis (46:30)

Oh, I thought there was breaking news. Okay.

Anthony Nielsen (46:32)

All right.

Jeff Jarvis (46:34)

Yes. By the way, it doesn't take long before our team of. Of expert AI users can modify a picture and replace my protein bites with, apparently with Soylent Green. The good thing is it's made of people. Less sugar, more love. Yeah, anyway.

Paris Martineau (46:58)

But not in the way you'd think.

Jeff Jarvis (47:00)

I'm sorry. Made with hands. I'm sorry. You weren't here for a mod.

Anthony Nielsen (47:05)

Leo.

Jeff Jarvis (47:07)

Yes.

Anthony Nielsen (47:07)

Oh, you already did the introductions. That's right.

Jeff Jarvis (47:09)

Yeah, I introduced you.

Anthony Nielsen (47:10)

We did Craig Steam already. I thought you missed Craig's theme already. Yeah, we did it in the intro.

Jeff Jarvis (47:16)

I'm sorry, I was surprised because Bonito was not here for that interview, but Anthony Nielsen apparently knew the protocol and required. Fox News has hired Palantir to build AI newsroom tools. Palantir, of course, is the, you know, the favorite poster child of the Trump administration and David Sacks and Peter Thiel, who's a big investor and the military uses their software to go through its databases and come up with insights. Fox Media has been working with them to, according to Axios, build a suite of Custom AI newsroom tools alongside its journalists. I don't know what that means.

Paris Martineau (48:07)

I guess it's better instead of.

Jeff Jarvis (48:09)

But yeah, alongside it'll be. They'll be next to each other. I, I guess you could, I mean, there are definitely uses for AI, but you wouldn't want AI to start writing the news. Fox hired Palantir to essentially build a digital twin of its business, mirroring the workflows, data tools and systems the company uses to produce and publish its digital journalism. This is, this is actually from the president of new media at Fox News, Porter Sherry Means.

Anthony Nielsen (48:45)

Well, in an alternative universe, this would be happening.

Jeff Jarvis (48:49)

If you're shadowing your staff with AI, there can be but one possible reason, right to replace them.

Paris Martineau (48:59)

But it's going to be beside not instead alongside for.

Jeff Jarvis (49:05)

Now are easily fungibly replaceable news team. They initially focused on the repeatable mundane tasks, things like SEO, keywords and tagging. However, the companies have progressed to building proprietary tools to help journalists discover, produce and distribute stories across the platforms. The produce part is the part I'm a little worried about that. That means writing, editing, shooting well and discover.

Anthony Nielsen (49:37)

You know, that's called reporting in the old days. What does that mean here?

Jeff Jarvis (49:42)

Yeah, I mean, I don't, I don't even use AI to discover the stories. I actually go by hand and read a lot of, you know, tech journals and things. They have three main tools to prove efficiency. The first, this is the discovery tool Topic radar. Helps reporters get up to speed on a story through a custom briefing. Now we, we use that for Ahmad Mostak for the interview we did earlier. Anthony Nielsen prepared a briefing book. I wish I'd had this my whole career as an interviewer. I mean, it really is very useful. It doesn't replace the research, but it's helpful.

Anthony Nielsen (50:19)

Have you had guests call you on a mistake yet?

Jeff Jarvis (50:22)

No, no, because there have been none.

Paris Martineau (50:26)

Remember just the other week you accidentally called one of our guests the co founder of something when they weren't.

Jeff Jarvis (50:33)

But that was probably my mist. Almost always it's my mistake misreading or misinterpreting what I. What I'm reading. I might have.

Paris Martineau (50:41)

So you're saying.

Jeff Jarvis (50:41)

I know I didn't have. I tell you what, I didn't call Jimmy Wales a co founder. I didn't do that.

Paris Martineau (50:46)

That's true.

Jeff Jarvis (50:48)

Remember Emily Bender, though, called me on giving her the wrong title. She said, you see, AI. And it was actually the AI had it right. I was just misreading it. So I think honestly, this is the thing humans make at Least as many mistakes. I mean, we're asking an awful lot of AI to say never make a mistake. But it's also incumbent upon us to remember that mistakes will be made and not to trust everything 100%. They're also working. So there's topic radar. I don't think that's a bad thing unless it replaces research.

Ahmad Mostaq (51:20)

See?

Anthony Nielsen (51:20)

Well, no, here's the problem. It replaces the worst thing that's happened to online journalism, which is just find out what's trending and then write a story about that.

Jeff Jarvis (51:30)

Yeah, I hate that.

Anthony Nielsen (51:31)

So this is basically, I think a version of that maybe.

Paris Martineau (51:33)

Yeah, yeah. And it's going to replace an assignment editor with. Just write about whatever the.

Jeff Jarvis (51:39)

An AI assignment editor says. Yeah, yeah. Oh, that's an interesting idea. The second tool, text editor, they could have used the AI to give it a better name than that. It's a word processor like tool that evaluates copy for style and efficiency, checking for broken links and adherence to the Fox News style guide.

Anthony Nielsen (52:00)

And if you say kind of it shocks you, that's true.

Paris Martineau (52:03)

I think that's very nice.

Jeff Jarvis (52:04)

The third article, insights, analyzes the performance of Fox News digital articles to provide. Oh, to provide insights into how the stories could be optimized or improved. Oh, boy. You want to make that more.

Anthony Nielsen (52:16)

But everybody in the New York Times is a b testing their headlines.

Jeff Jarvis (52:20)

Yeah, humans do it.

Anthony Nielsen (52:21)

Everybody.

Jeff Jarvis (52:22)

Yeah. Like most newsrooms, Fox News won't use AI to generate editorial copy. Barry said this is a human end to end process. In the middle is A.I.

Anthony Nielsen (52:37)

Well, so we, we need to have on Kate Lee from every. So it was a company started does this and so I was on a panel with her recently. Kate was my agent back in the day and she explained how they use it in that pro in their process. Right. Does it take a piece and suggest improvements and they don't accept all the improvements, but you know, it's a tool for that. Yeah, that's fine. But I just, I'm suspicious of Fox News and the vendor.

Jeff Jarvis (53:08)

I would like to see that style guide, though.

Paris Martineau (53:11)

Yeah, that style guide's got to be interesting.

Anthony Nielsen (53:13)

You should have seen the one we had at Conde Nasty folks.

Jeff Jarvis (53:18)

Why?

Anthony Nielsen (53:19)

What you couldn't say about Anna's daughter.

Jeff Jarvis (53:22)

Oh, they actually put that in there.

Anthony Nielsen (53:23)

Oh, in there? Oh, yeah.

Jeff Jarvis (53:26)

I wouldn't put that stuff in writing. I would say this is just a cultural.

Paris Martineau (53:29)

It's just culturally, you can't publish that.

Jeff Jarvis (53:34)

We. I had the NBC style guy when I worked for MSNBC and it was quite good. I actually saved it Because. And. And I handed it out to when we started Twit, because I thought, this is very useful for me.

Paris Martineau (53:48)

Is there anything in particular that stood up?

Jeff Jarvis (53:51)

The one thing I really remember is if you're. If you're shooting video coverage out on the street, even though you're in a public place and technically legally allowed to have pictures of people that they didn't want you to ever get anything that would be identifiable. And the way they defined it in the style guide was if a person's mother would recognize them from the image that you got, you need a release.

Anthony Nielsen (54:16)

Well, that. They don't do that.

Jeff Jarvis (54:19)

Not anymore. No, not anymore. And we were very, very careful not to stage. Now this is 20, 30 years also has changed.

Anthony Nielsen (54:26)

Yeah.

Jeff Jarvis (54:27)

So. And this.

Paris Martineau (54:28)

What do you mean, stage? Like, stop people from walking into the shop.

Jeff Jarvis (54:33)

That's minor staging. It would be more like. Could you go back and. Yeah, could you go back and. And pretend to be reading that article again on your screen and let us get a. The opposite angle of that? Anytime you ask, you should be. It should be like Candid Camera. Anytime you ask the subject to do something that's staging, it should. You should only be capturing something they're doing. They would be doing even if you weren't.

Anthony Nielsen (54:57)

They do that like crazy now.

Jeff Jarvis (54:58)

Now you can always tell it's staged.

Paris Martineau (55:00)

Be sitting at their computer, tapping away.

Anthony Nielsen (55:05)

I hate that.

Jeff Jarvis (55:06)

Yeah, because. Yeah, exactly.

Paris Martineau (55:07)

And they're tapping in a way that doesn't even look like they're.

Jeff Jarvis (55:10)

They're not even.

Paris Martineau (55:11)

They're always like.

Leo Laporte (55:14)

Editors need that for the cut, though, you know, because when you cut the.

Anthony Nielsen (55:16)

Interview now you see Benito. But that was old tv. That was mass. Stupid plastic tv. The beauty.

Paris Martineau (55:26)

Just have somebody snapping at the camera this time instead, really make it.

Jeff Jarvis (55:29)

Or you go in there and you just get a lot of coverage, and then, you know, you.

Anthony Nielsen (55:34)

Or you just do a jump.

Jeff Jarvis (55:35)

You got something. Or do it.

Anthony Nielsen (55:36)

What do you say to that?

Leo Laporte (55:37)

Well, jump cuts are only acceptable now because YouTube said so.

Anthony Nielsen (55:41)

Right.

Jeff Jarvis (55:41)

They weren't acceptable before.

Leo Laporte (55:43)

That was against all the rules of an editor. Like, that was one of the first things as an editor, is no jump cuts.

Jeff Jarvis (55:49)

Yeah, right.

Anthony Nielsen (55:51)

What's the name? Who.

Paris Martineau (55:52)

What would you do instead of a jump cut?

Jeff Jarvis (55:55)

So after you do the interview, they turn the camera around and they have you going naughty.

Anthony Nielsen (56:02)

That's called naughties.

Jeff Jarvis (56:05)

Or. Or even re. Asking the questions.

Anthony Nielsen (56:09)

Yes.

Jeff Jarvis (56:09)

And then you got cutaways. So if. If you know you're talking to. I don't know. Who are you interviewing? You're talking to RFK Jr. And you want to chop it up in a way and put some words into his mouth. You just cut away to the reporter going. And then you can edit it to your at will. But that's why I like jump cuts, because it's more honest. At least you know there's an edit there. Right.

Anthony Nielsen (56:31)

What's the name of the guy who made jump cuts famous online who became the head of video at buzzfeed?

Jeff Jarvis (56:35)

Ze Frank.

Anthony Nielsen (56:36)

Z. Frank, yeah, Right. Zay or Z?

Jeff Jarvis (56:39)

I always said Zay.

Anthony Nielsen (56:40)

It's probably like Leo versus Leo. Fancy.

Jeff Jarvis (56:44)

He also the other thing he was famous for, we were just talking before the show about not blinking. He was famous for cutting his video up in such a way that he would never blink.

Anthony Nielsen (56:53)

That's right.

Jeff Jarvis (56:54)

You know, it would be a little more compelling if he stared right in the camera and never blinked. But of course, nobody doesn't blink. So he would cut out the blinks. That's why he had jump cuts.

Anthony Nielsen (57:03)

Looking at the camera, not at her notes.

Paris Martineau (57:05)

It's really hard not to blink. I'm really trying hard, but I'm wearing.

Jeff Jarvis (57:09)

It's difficult blink.

Paris Martineau (57:13)

This is great audio, guys. This is really compelling.

Jeff Jarvis (57:16)

No, we could. I think people at home can hear you not blinking.

Paris Martineau (57:19)

I do think they can. I think they can hear me getting a little sweaty.

Anthony Nielsen (57:22)

It hurt.

Jeff Jarvis (57:25)

I can't remember. Did we talk about the potential draft order from the president predicting state laws during the show?

Paris Martineau (57:35)

And we talked about it at the end of the show.

Jeff Jarvis (57:39)

I got jumped on that one because normally I would not have reported it because it was the president plans or is thinking of doing something and I don't like to say something until it's done. And in fact, it didn't happen. Although there is a little coda on this. The White House, this is from Reuters, has put a hold on a draft executive order that would seek to preempt state laws and artificial intelligence through lawsuits and by withholding federal funds, two sources said on Friday. The important part of the story is they realized, oh, we don't have to do that. We'll just put that in the Defense Authorization act, the National Defense Authorization act, which is never not passed because unlike.

Paris Martineau (58:25)

Gotta authorize the defense, unlike, say, food.

Jeff Jarvis (58:27)

Stamps, you can't not pay for defense. So Republicans in Congress are going to add that provision to the National Defense Authorization act, which is a famous place for people to put, you know, pork and amendments and so forth, because it always gets passed. It's very rarely that stuff gets removed from it. So, yeah, we don't need an executive order. It's funny because Marjorie Taylor Greene opposed the effort. States must retain the rights to regulate and make laws on AI. Federalism must be preserved.

Anthony Nielsen (59:03)

Everything's confusing now.

Jeff Jarvis (59:04)

It's so confusing. Amy Klobuchar also said that that would be unlawful. Public Citizen said in a statement that AI was already causing massive harms, making it almost unfathomable that the administration would want to block sensible state regulation. Honestly, if. If the Feds made a regulation that would be preferable to 50 different state regulations, there's that too. The Feds are probably not going to do that. Oh, actually there is a story about that. We are building Skynet. Did you see it?

Anthony Nielsen (59:42)

Yay.

Jeff Jarvis (59:45)

This executive order on AI is not.

Anthony Nielsen (59:47)

Necessarily a bad thing. Explain it first.

Jeff Jarvis (59:51)

So.

Paris Martineau (59:55)

Skynet not necessarily a bed.

Anthony Nielsen (60:00)

It's find your rays of hope where you may.

Paris Martineau (60:05)

I find my rays of sunshine in between the clouds of Skynet.

Jeff Jarvis (60:09)

It's it. It has a much more benign. It's called the Genesis Mission, which makes it sound.

Paris Martineau (60:14)

I would argue that sounds scary.

Anthony Nielsen (60:18)

Sounds evil.

Paris Martineau (60:19)

That sounds like we're gonna take five like the top 20 richest people and send them to a secret second moon.

Anthony Nielsen (60:26)

Isn't that how Spock was brought back to life?

Jeff Jarvis (60:29)

Yes, the Jedi. Anyway, under the new Genesis mission. This is Lisa Dicchio, a good friend of the network, writing for cnn. Under the new Genesis mission, created by executive order, the Department of Energy will develop a new AI platform that uses federal scientific data. By the way, most of this data has always been siloed, which has always been a complaint. Right?

Anthony Nielsen (60:53)

Right, exactly.

Jeff Jarvis (60:53)

That's why it's tough coming out of the Lawrence Labs and other national labs where our taxpayer money funded the research has been been kept secret mostly because a lot of it's weapons research. We don't want the bad, you know the. The enemy to know it. But anyway, this will finally take the lid off this federal scientific data. Why? To train AI models and agents for scientific research. The Genesis mission aims to take the tech and business industries progress in AI and apply it to scientific research and health, energy, manufacturing and other fields. Now admittedly we cut scaled way back on human scientists, but I guess there's that issue. Replace it. This is to replace it. The DOE Department of Energies, these, these, these amazing laboratories have been conducting research in everything from energy to health, applied materials and quantum science for decades. But this information has never been released. So now private companies and academic institutions can share this information. Research will have access to it and AI will have access to it. I I think this is a good thing.

Anthony Nielsen (62:09)

Yeah, it seems like a good thing. What model is data that we paid.

Paris Martineau (62:14)

For getting the data?

Jeff Jarvis (62:16)

That's a good question.

Anthony Nielsen (62:18)

There was reference site.

Paris Martineau (62:19)

Is this how we're using Grok?

Jeff Jarvis (62:20)

I think we're going to send it to the Saudis and let them. And then let them crank on it. I don't know. It's the thing that stood out.

Paris Martineau (62:31)

All of our scientific research in the US Describes makes oblique references to Elon Musk being the most brilliant man in the world.

Jeff Jarvis (62:41)

Multiple federal agencies and the private sector will be able to use this information to, quote, win and stay ahead in the AI race.

Paris Martineau (62:52)

Well, if that's all they're going to do with it, then it's great.

Jeff Jarvis (62:55)

I'm not, I'm not against it.

Paris Martineau (62:58)

I'm not against it. I just would like more transparency on it. Like.

Jeff Jarvis (63:01)

Yeah, I'd like to know whose models are we using?

Anthony Nielsen (63:05)

Who's available for anybody else? It should be open.

Paris Martineau (63:09)

What's happening to the data? What are the checks and balances? There's a lot of good questions there.

Jeff Jarvis (63:18)

Secretary Chris Wright of the Department of Energy briefed reporters on Monday. He said the program will lower energy prices for consumers and that turkey on your Thanksgiving table will cost a lot less next year.

Paris Martineau (63:32)

What he thinks that this is going to. No, the first part. Really?

Jeff Jarvis (63:37)

The first part. Yeah. He did say.

Paris Martineau (63:39)

Oh, boy.

Jeff Jarvis (63:41)

Well, look, if this. Everything's got to be affordable. That's the goal. I think it's conceivable you'll have new materials, you'll have. I mean, who knows this.

Anthony Nielsen (63:52)

The, the NBC story says that the platform will focus on providing researchers with computing power and data sets necessary to train AI models.

Jeff Jarvis (64:00)

I think that's great. I mean, it is stuff we paid for.

Anthony Nielsen (64:04)

Yep. And you're right, it was. Was siloed. And what, what comes. What comes through the, the Venn diagram of this stuff, when it comes together, it would be.

Jeff Jarvis (64:13)

I feel better about. If they didn't call it the Genesis mission. It really sounds like they got plans.

Paris Martineau (64:18)

You know, the planet explodes launching the Genesis mission.

Anthony Nielsen (64:22)

Yeah, we can't live on Mars. Let's blow it up.

Paris Martineau (64:26)

I don't love also that it begins with. Since the founding of our nation, comma.

Jeff Jarvis (64:30)

Yeah, that's a bad start.

Paris Martineau (64:31)

It's rough. It's a rough start.

Jeff Jarvis (64:33)

The order launches the Genesis mission as a dedicated, coordinated. I'm reading from the executive order, national effort to unleash a new age of AI accelerated innovation and discovery that could solve the most challenging problems of this century. You know, you weren't here for the interview earlier with Ahmad Mostak. We taped that earlier this week. That's why Paris couldn't be here. She actually has a job. But one of the things he was really pushing, and I agree with him, is maybe we don't need these giant AGI AI's owned by big tech companies. Maybe smaller AI's could be useful, especially not.

Anthony Nielsen (65:17)

Yep.

Jeff Jarvis (65:17)

Not owned by the big tech companies, but, you know, he's. He's working on a medical. A small medical model that could be very useful. He says if you. If you make a specific task, it can do very well. It doesn't have to be AGI, it.

Paris Martineau (65:32)

Doesn'T have to be general purpose, it.

Jeff Jarvis (65:34)

Doesn'T have to be reasonable. Exactly.

Anthony Nielsen (65:35)

But then. But then you can't say it's smarter than all humanity.

Jeff Jarvis (65:38)

Yeah.

Paris Martineau (65:39)

Then you can't raise hundreds of millions or billions of dollars because no one wants to give you that much money for something that's limited use.

Jeff Jarvis (65:46)

Exactly. I want to take a little break. When we come back, Johnny, I've and Sam Altman were on stage at the demo day for the Emerson Collective. This is Lorraine Powell. Jobs. Steve Jobs Widows. It's a non profit, but they do own quite a few things, including the Atlantic magazine. Johnny and Sam kind of gave us a little more information about.

Anthony Nielsen (66:09)

Information would be stretching what they're working on.

Jeff Jarvis (66:13)

We'll talk about that just a little bit. Hey, you know, I'll be wearing it the minute it's available.

Anthony Nielsen (66:20)

Now the question is, will you be tasting it? But go ahead.

Jeff Jarvis (66:23)

Yes, we'll talk about that. You're watching Intelligent Machines. Paris Martineau, Jeff Jarvis. Wonderful to have you both. Day before Thanksgiving. You're. You're not cooking, Jeff?

Anthony Nielsen (66:36)

No.

Paris Martineau (66:37)

That would cause a house fire.

Anthony Nielsen (66:39)

Well, no, when my. When. When my wife was pregnant with our first and I suddenly had to do some cooking, I damn near killed them both. Raw chicken.

Jeff Jarvis (66:48)

You don't. So you don't have. Like almost every family, you know, people have one thing that they like. We're gonna.

Paris Martineau (66:55)

I make stuffing.

Jeff Jarvis (66:56)

There you go, you see?

Paris Martineau (66:57)

And I'm making a pineapple upside down cake this year.

Jeff Jarvis (66:59)

But that. That's a wonderful, wonderful thing.

Anthony Nielsen (67:02)

I make a drive to the takeout place.

Jeff Jarvis (67:05)

I make a drive.

Anthony Nielsen (67:06)

Did I ever tell you the story.

Paris Martineau (67:07)

What are you doing?

Anthony Nielsen (67:08)

Of my pumpkin chiffon pie?

Paris Martineau (67:11)

Oh, I think you did last year. And it was every year. Oh, yeah.

Jeff Jarvis (67:15)

Tells this story every year. It's that time of year.

Anthony Nielsen (67:18)

Gramps is going to tell us about his Book and chip off. I know. I'm not going to. I won't do that. Look it up, folks. Go into the archives.

Jeff Jarvis (67:27)

Hey, tell me your recipe for half.

Paris Martineau (67:29)

Of a donut during this ad break. Listen.

Jeff Jarvis (67:31)

Okay, but before you do that, tell us your recipe for stuffing that was.

Paris Martineau (67:35)

Going to be one of my picks of the week.

Jeff Jarvis (67:37)

All right, let's save it, save it, save it. That's good. That's good. I like it. It, I like it.

Paris Martineau (67:42)

Stay to the end to hear my stuffing recipe that is so loved among friends and family that every year I get people text me be like, what's that recipe again?

Jeff Jarvis (67:51)

Oh, that's exciting.

Anthony Nielsen (67:53)

This. I want to try oysters in there.

Jeff Jarvis (67:55)

Oh, sh.

Paris Martineau (67:56)

It's all oysters. Yeah, it's, it's actually, it's just oysters. And that's why I'm really surprised that people ask me for the recipe because I just text back, it's just oysters, baby.

Jeff Jarvis (68:06)

Come on. Why does the turkey taste like salt water? All right, we'll be back in just a moment. This episode of Intelligent Machines is brought to you by Zscaler, the world's largest cloud security platform. You know, it's really clear when you listen to this show that AI is a for business, especially kind of a double edged sword. On the one hand, it can make massive differences in your efficiency. It can, it can give you all sorts of superpowers, a competitive advantage against, you know, guys who aren't using it. But on the other hand, you know who is using it? Hackers, bad guys. They're using it to attack more quickly. Every attack surface that you offer them, they will bombard with AI generated attacks. The potential rewards of AI are too great to ignore, but so are the risks. And there's also the risk of you using AI and accidentally exfiltrating private proprietary company information. So generative AI increases opportunities for threat actors. They're using it, you know, for phishing mails that are indistinguishable from the real thing. They're using it to write malicious code. They're using it after they get in. They're actually using it to pick and choose and extract the data that they're going to steal from you. There were 1.3 million instances last year of Social Security numbers leaked to AI applications. Not intentionally, by accident, people innocently just using AI. SaaS, Apps, Chat, GPT and Microsoft Copilot, they saw nearly 3.2 million data violations in the same time period. This is, this is the time to rethink your organization's Safe use of public, public and private AI. Just check out what Shiva, the director of security and Infrastructure at Zwora, says about using Zscaler to prevent AI attacks. With Zscaler, being in line in a.

Ahmad Mostaq (70:09)

Security protection strategy helps us monitor all the traffic. So even if a bad actor were.

Jeff Jarvis (70:15)

To use AI, because we have tight.

Paris Martineau (70:17)

Security framework around our endpoint, helps us.

Jeff Jarvis (70:20)

Proactively prevent that activity from happening. Happening AI is tremendous in terms of.

Ahmad Mostaq (70:24)

Its opportunities, but it also brings in challenges. We're confident that ZSCALE is going to.

Jeff Jarvis (70:28)

Help us ensure that we're not slowed down by security challenges, but continue to.

Paris Martineau (70:32)

Take advantage of all the advancements.

Jeff Jarvis (70:36)

Thank you, Shiva. With Zscaler Zero Trust plus AI you can safely adopt generative AI and private AI to boost productivity across the business. Zscaler's Zero Trust architecture plus AI helps you reduce the risks of AI related data loss and protects against AI AI attacks to guarantee greater productivity and compliance. Learn more@zscaler.com Security that's Zscaler.com Security we thank him so much for supporting intelligent machines. Did they teach you Paris? The the anchor TV anchors head bounce. You probably wouldn't need this but when you're the anchors headband, well, you know, you know TV news is pretty simple. You got, it's a three camera shoot. You got your single, you got your two shot and then maybe you have.

Paris Martineau (71:28)

So terrifying to look just directly at the camera.

Jeff Jarvis (71:31)

Don't do it.

Paris Martineau (71:32)

Sorry.

Jeff Jarvis (71:33)

Don't do it. You notice I, I look away because in real life you don't stare at somebody when you're talking to them. You don't.

Anthony Nielsen (71:40)

That's the problem with a prompter is it looks like you're glued to it.

Jeff Jarvis (71:42)

Exactly. That's why you need the news anchor head bounce. So you're reading the prompter on camera one and the floor director starts to send you to camera two. You can't just go because that would look weird. Fortunately, you have this fake news script that you've been holding all this time. And now you know why? Because you're reading, you're reading the prompter and you pretend to look down to read the news script and then you look up at that camera over there. Very useful.

Paris Martineau (72:12)

I love that's just.

Anthony Nielsen (72:14)

There's no floor direction.

Paris Martineau (72:15)

Is there any text on the fake news script?

Jeff Jarvis (72:18)

Yeah, they, they print out the script just in case. What it's really there for is if the prompter goes down. Because news anchors have no idea what.

Anthony Nielsen (72:25)

Page was I on?

Jeff Jarvis (72:26)

They have no idea what they're saying. So it is wonderful when the prompter goes down because it's, you know, clearly they go, they get this big, this big look, big wide eyed. And then yes, they go, where was I? Oh yes, here I am.

Anthony Nielsen (72:40)

But when I've been on recently there's the floor director is gone.

Jeff Jarvis (72:43)

Oh, they're gone now. In fact it's, it's the other day it's robotic cameras. Used to be there would be a director in the control room with a joystick for the robotic camera or it's pre programmed. The other day I saw an anchor. It must have been a mistake. She had the joystick next to her.

Anthony Nielsen (73:01)

What is that the joystick for the prompter?

Jeff Jarvis (73:04)

No, I think it was the camera. She was operating the camera. It was on our local channel or a dial.

Anthony Nielsen (73:10)

A dial often for the prompter.

Jeff Jarvis (73:12)

When they first put those. Yeah, well some of them are.

Anthony Nielsen (73:16)

In the old days there was a person whose job it was to hold camera operator and.

Paris Martineau (73:22)

Yeah, well also one really strong guy hold up a different stone tablet.

Jeff Jarvis (73:28)

No, we don't use cue cards anymore. I don't know why the tonight show still uses and Saturday Night Live still uses them.

Anthony Nielsen (73:34)

Saturday night.

Jeff Jarvis (73:34)

Wait, very old fashioned.

Anthony Nielsen (73:36)

Yes.

Leo Laporte (73:36)

Yeah, they use it so they can have the eyeline be anywhere they want.

Jeff Jarvis (73:41)

Ah, it solves that. And in other news, look, I got very good, I hate prompters but I got very good at tech TV at looking away from the prompter, looking down, not, not reading the prompter. But if you. Somebody doesn't know what they're doing, you could see their eyes moving back and forth. It's really terrible.

Leo Laporte (74:05)

On the prompter thing. On the cue cards.

Paris Martineau (74:08)

I am, yes, I'm still, I think, I'm thinking, I'm like why couldn't you put the prompter in different locations?

Jeff Jarvis (74:14)

You could, you could in fact a.

Paris Martineau (74:16)

Lot of times than having some guy with.

Jeff Jarvis (74:18)

No, you probably can still have a tv.

Leo Laporte (74:21)

You can move also. You can't really do that with the.

Paris Martineau (74:24)

Prompter could move, could it not?

Anthony Nielsen (74:25)

Well, it's always where the camera is.

Jeff Jarvis (74:28)

Usually it's on the camp my prompter's on.

Paris Martineau (74:30)

What about those things you see at speeches which is like a little glass guy.

Jeff Jarvis (74:34)

That's the prompter and they put it in front of the camera.

Leo Laporte (74:39)

There's a big mechanism underneath that that's a projector projecting up to that.

Jeff Jarvis (74:42)

It's a one way mirror.

Anthony Nielsen (74:43)

Yeah, it's a mirror.

Jeff Jarvis (74:44)

So there's a screen here and then there is a two way mirror.

Paris Martineau (74:48)

I'm learning.

Jeff Jarvis (74:48)

Not one way, two Way mirror. It reflects the screen up here so the screen is actually backwards. The text on the screen. So it can bounce off and then you can read it. But anybody at this angle just sees right through it looks like a pane of glass. That's why those weird. Those prompter paints.

Anthony Nielsen (75:02)

Paris in the old, old days. You take the typewritten script and glue it together. And then you had a kid who was the prompter operator who would put it under the camera and. And then. And then go decide the speed as you're reading.

Paris Martineau (75:18)

I'm sure that glue was made of.

Anthony Nielsen (75:20)

Like lead or something and probably. And would piss off the hell out of an anchor if they were going too fast.

Jeff Jarvis (75:27)

Hey kids.

Paris Martineau (75:27)

Or too slow it down. Hey, kids, speed it up.

Leo Laporte (75:30)

A crew used to be like 25 people. A crew used to be like 25 people. Now it's like. Yeah, now it's like three. So like everybody's doing everything now.

Jeff Jarvis (75:38)

When I left TechTV I counted it was 22 people behind the camera. Three people in front of the camera. And I decided when I started Twit, I wanted to reverse that. I wanted to have most of the talent be in front of the camera and have as few people behind. That's why we had 40 cameras. So that we could literally. We didn't have to move them. Yeah, we just would take in a.

Anthony Nielsen (75:59)

Big news control room. Now I haven't been in one in a while. Is the director still just snap fingers go to go three, go one last.

Jeff Jarvis (76:06)

I saw you. Yeah, that's still the technical director who pushes the buttons. And you have the actual director who's telling the tech.

Anthony Nielsen (76:13)

Why does the director hit the buttons?

Leo Laporte (76:15)

Because the director has other stuff to.

Jeff Jarvis (76:16)

Do Nowadays, probably in a lot of newsrooms, the director hits the buttons too.

Leo Laporte (76:20)

But yeah, the director also has to tell the graphics guy when to throw graphics.

Jeff Jarvis (76:24)

There's a lot to do.

Leo Laporte (76:25)

Audio guy to bring up three or whatever. Yeah, there's a lot to do.

Jeff Jarvis (76:28)

Right.

Anthony Nielsen (76:28)

But Leo, when you were reading prompter on a cheap operation, were you controlling the speed of the prompter order?

Jeff Jarvis (76:34)

No, we had a prompter after. And that used to drive him crazy because I would not read the prompter in order. I wouldn't.

Paris Martineau (76:41)

Wait, so is this still how teleprompter. There's some guy controlling this.

Anthony Nielsen (76:47)

The news person is doing it themselves.

Jeff Jarvis (76:49)

Have a little knob or a pedal.

Paris Martineau (76:51)

So you have to be reading it, doing a thing and controlling the speed.

Jeff Jarvis (76:55)

Of your doing that scrolling. I'm doing that. I'm doing that with my mouse.

Paris Martineau (76:59)

That's just a lie.

Jeff Jarvis (77:02)

When you do. Jeff, when you do cnn, do they.

Anthony Nielsen (77:06)

Have prompter operator not visible in the studio?

Jeff Jarvis (77:10)

They would be in the control room. They wouldn't be in control room. So you don't know. But they. You don't see Nicole Wallace with a little knob or anything?

Anthony Nielsen (77:16)

No, no, no, no, no, no, no, no.

Jeff Jarvis (77:18)

I imagine msnbc, they still have that? Yeah, yeah. Do they have floor directors?

Anthony Nielsen (77:23)

No, that's what I'm saying. They don't anymore. So I don't know how, you know.

Jeff Jarvis (77:25)

Drew local tally lights.

Paris Martineau (77:28)

What are tally lights?

Jeff Jarvis (77:30)

It's all right on the camera.

Anthony Nielsen (77:32)

Yeah, but how do you. How do you get warning. But you know that it's, you know, you just.

Leo Laporte (77:36)

You just see the flight flash on the other side and then you can do your head bob.

Jeff Jarvis (77:39)

You look at the corner of your eye and you go, there's the red light.

Anthony Nielsen (77:42)

Look up you.

Jeff Jarvis (77:43)

That. You catch them off. You catch them a lot nowadays, not knowing.

Paris Martineau (77:47)

We should all get, like, two extra cameras and then just throughout the show, just like, pivot to one.

Anthony Nielsen (77:53)

You know what I hate are the ones where they record these things and then for a while.

Jeff Jarvis (77:56)

What do you mean to the camera? What are you talking about? Oh, yeah. Wait a minute. Let me go to that camera. Let me go to that.

Paris Martineau (78:06)

How is it? It's off now.

Leo Laporte (78:08)

It's out of sync.

Jeff Jarvis (78:10)

They're out of sync. Oh, like when I switch like that, does it screw it up?

Paris Martineau (78:13)

If we had people in that studio with you, it could have. It would work.

Jeff Jarvis (78:18)

I have my own switcher. I'm doing it all now, baby. Yeah. We used to have a great floor director. He's now married to Erica Hill, the CNN anchor who will be doing the Thanksgiving Day Parade this year. He was great. He had a steep voice and he would. He was really good. Or Steve Porter was the other. He was really good. They would do. You know, you're on this camera, you're on this camera, you're on this camera. And then he'd go. And then when it's time to change the camera, they'd go.

Anthony Nielsen (78:50)

They were.

Jeff Jarvis (78:50)

It was really fun. It was like. It was like dancing. It was so much fun.

Anthony Nielsen (78:54)

Back in 30.

Jeff Jarvis (78:55)

Yeah. Yep. In three, two. And those are the days. Johnny I've. And Sam Allman on stage.

Leo Laporte (79:06)

I need your screen back, Leo.

Ahmad Mostaq (79:08)

Oops.

Anthony Nielsen (79:11)

Screen fun.

Jeff Jarvis (79:13)

Jony I've. And Sam Altman on stage with Lorene Powell Jobs. Steve Jobs, widow. She was interviewing them about what Johnny's doing with Sam. Remember that Little Love video that they made? And all the. What was this $3 billion they're paying Jony I've to do this thing. We didn't know much. We know a little bit more now. Altman described the design as simple and beautiful and playful.

Paris Martineau (79:43)

Jesus Christ.

Jeff Jarvis (79:44)

Saying it's going to be some sort of AI thing, you know, a necklace, earbud.

Paris Martineau (79:50)

No, no, no. We need to say what he added, which is there was an earlier prototype that we were quite excited about, but I did not have any feeling of, I want to pick up that thing and take a bite out of it. And finally we got there, all of a sudden, crashed.

Jeff Jarvis (80:05)

It probably looked like one of these delicious protein bites, by the way. They look exactly like an AI pin. I said, I love solutions. Wait, let me do it right. I love solutions that teeter on appearing almost naive in their simplicity. And I also love incredibly intelligent, sophisticated products that you want to touch. I think I sound more like J.K. rowling than I sound like Johnny. And you feel no intimidation. And you want to almost carelessly and you want to use almost carelessly that you use them almost without thought, that they're.

Ahmad Mostaq (80:41)

They're just tools.

Jeff Jarvis (80:43)

Altman says, I hope that when people see it, they say, that's it. To which I've responded, yeah, they will.

Anthony Nielsen (80:52)

And they also said, Altman said, you want to lick it.

Jeff Jarvis (80:57)

Yeah, well, licking it's been around for a long time.

Paris Martineau (80:59)

Did the fire marshal end up getting called for all the smoke that they're blowing?

Jeff Jarvis (81:05)

Yeah. So it could arrive in, quote, less than two years, maybe.

Paris Martineau (81:10)

This is like Elon Musk's word. Three to five years away from poll from San Francisco to New York.

Jeff Jarvis (81:18)

But I do believe that they say they have prototypes. I do believe that Johnny is trying to design something.

Anthony Nielsen (81:26)

They don't think it'll have a screen.

Jeff Jarvis (81:29)

But do they know? Yeah, we don't know.

Anthony Nielsen (81:30)

That's the thing. Yeah, yeah. Perplexity has been kind of exposed as smoke now.

Jeff Jarvis (81:37)

Oh, really? Tell me about that.

Anthony Nielsen (81:39)

I think. Well, no, I just think in general your attitude toward them. I think they do press releases, they do stuff.

Jeff Jarvis (81:43)

So I think people are a little mad because you don't know what model you're getting. And there's some evidence that you're not getting the. The best models when you use.

Anthony Nielsen (81:51)

So there's that. Right. And now Google has just leapfrogged and is the darling. Huge, huge like never before. And OpenAI is a humming hub and a hummingbird with this and the whole Jony I've thing. Do you think there's a OpenAI starts to.

Jeff Jarvis (82:09)

Here's their disadvantage. Their disadvantage is Meta. Google, Microsoft, Apple and Amazon all have revenue streams independent of AI efforts and.

Anthony Nielsen (82:20)

People doing things in their real lives.

Jeff Jarvis (82:23)

But OpenAI, it's this or nothing. And all the money comes from investors. And there's considerable pressure, A, to appease the existing investors and B, to get new investors because they are burning through money like crazy. Anthropic's in the same boat, although Anthropic released a new model this week that many people are very impressed with.

Paris Martineau (82:44)

So, yeah, how have you guys been finding Claude? Opus 4.5.

Jeff Jarvis (82:50)

You know, I use it for coding. Claude was already very, very good for coding. Not perfect. It would make dumb mistakes, but it also would do things mind boggling. This is where we are with AI right now, is that it's spiky. Like in some areas it's completely stupid and in some areas it's brilliant. And you just have to be able to distinguish, I think as a user what you're getting, whether you're getting the stupid or the smart. But I think Claude4.5 is very impressive. I think I'm most impressed with Gemini3, to be honest. And Banana.

Paris Martineau (83:31)

What have you been using it for?

Jeff Jarvis (83:33)

Stupid stuff? No, lots of stuff. I basically. Well, we used it last week, remember. It's really good at synopsizing stuff. It's. The image generation is incredible. Darren Okey said that one of the things he likes to do is have Claude code Anthropic's command line coder, solve a problem and then explain what it did, and then feed the explanation to Nano Banana and have it do an infographic based on it, which he said is very helpful in understanding. I hope I'm not misquoting you, Darren, but it's helpful in understanding these concepts. I. I really feel like we are, we're making progress. I don't think we're there. I don't know what the progress is towards even any more than I know what Johnny and Sam are planning. But I feel like we're making. They're working on stuff and we're making progress.

Anthony Nielsen (84:29)

I went into it, Gemini 3, somebody I know has a health issue and got labs and I went into it and put in the history and I put in the labs and it came back with incredible, incredible response. But then I found out that I was wrong about the medication the person was on right now. So I went back in and I said, does this change? Change it? Oh, yes, it does change it. And I did that twice where circumstances changed and it was pretty Damned amazing. And I did that with also with Chat GPT and with Claude and Gemini was way, way more impressive.

Jeff Jarvis (85:05)

You know, it's interesting to me and a number of people have observed this, that Google probably has even better. All these companies have better models internally, maybe even a year off.

Paris Martineau (85:16)

Well, I'm sure better in some ways, more concerning in other ways.

Jeff Jarvis (85:19)

Well, yeah, they don't want to release them until their safety's been proven and they've fine tuned and so forth. You're right. But nevertheless, this isn't. Oh yeah, the, the sound is. I'm telling you, it's the lumberjack contest out back here. It's very noisy. That noise is somebody grinding something they're building.

Anthony Nielsen (85:38)

I only heard it when you spoke.

Jeff Jarvis (85:40)

Yeah, because it skated out when I. I don't speak.

Anthony Nielsen (85:42)

Okay, got it.

Paris Martineau (85:44)

Wow.

Jeff Jarvis (85:44)

I'll just shut up.

Paris Martineau (85:45)

Speaking of Gemini, Darren Okey a while ago posted a screenshot in the chat of him asking Gemini. They sent photos of me, Jeff and Leia saying, these people all dressed up in high quality turkey costumes in a kitchen preparing a Thanksgiving dinner. Then Gemini responds, it looks like you're trying to create a funny scenario featuring the cast of this week in Google podcast, Jeff Jarvis, Paris Martino. And as an AI, I cannot directly edit these specific uploaded photos to put them in costumes to prevent the creation of non consensual deep fakes.

Anthony Nielsen (86:20)

Wow.

Paris Martineau (86:21)

However, I can provide you with a highly detailed we give consent based into an image generator to create this exact scene, which I thought was very interesting. They got us all.

Anthony Nielsen (86:31)

We're famous.

Paris Martineau (86:33)

We're famous, guys.

Anthony Nielsen (86:34)

Gemini knows us.

Jeff Jarvis (86:37)

That was what I mentioned last week was we've come so far. It used to be it'd say, well, I don't know anything about anything after 2024 or whatever. Now it seems to be completely up to date all the time. Come on. By the way, one of the things that Gemini does that's interesting, it has a much larger context window. I think it's a million tokens, which makes a big difference if you're feeding it. You know, that's where I think Google and Notebook LLM LLM have done amazing work. If you're feeding it a lot of content, it can, it can absorb quite a bit. A million tokens is a huge amount.

Anthony Nielsen (87:13)

Of data and respond back and forth. Yeah, that's where the, that's where that iteration becomes really interesting.

Jeff Jarvis (87:22)

And so you didn't get, you didn't get the picture of us. That's too bad.

Anthony Nielsen (87:27)

There is one of us cooking together.

Paris Martineau (87:28)

There.

Jeff Jarvis (87:29)

Is there? Back there?

Paris Martineau (87:29)

Yeah, somewhere. It's back here somewhere.

Anthony Nielsen (87:34)

Bye.

Paris Martineau (87:35)

I just got a lot of.

Jeff Jarvis (87:36)

Just remember when we even, you know, a year ago, when we started doing the show. We've come so far. Oh, yeah, it's. All the fingers are there.

Anthony Nielsen (87:45)

Pretty fly for sky.

Paris Martineau (87:48)

We all look terrible in this photo, but, you know, it's because we're dressed like turkeys. Actually, Jeff looks like he has a really full beard in this photo.

Anthony Nielsen (87:59)

And a full stomach, too.

Paris Martineau (88:01)

I mean, we've all got full stomachs in this. I like that you're cutting the mashed potatoes.

Anthony Nielsen (88:09)

I don't know how to cook.

Paris Martineau (88:10)

I mean, that is. That is accurate.

Jeff Jarvis (88:12)

Actually, if they're really thick, you might have to cut them. I'm looking for it. I have to.

Paris Martineau (88:20)

I just. I just put it in the chat. I replied saying, haunting. It's the third thing there.

Anthony Nielsen (88:25)

Ah.

Jeff Jarvis (88:26)

Click to see. Attachment. Ah, here we. Oh, God. I look like I'm really old. Holy cow.

Paris Martineau (88:33)

We all look rough in different ways.

Jeff Jarvis (88:36)

That doesn't even look like you, Paris. I don't know who that is.

Paris Martineau (88:38)

I know. Hey, listen, and I look like you don't get it. I don't, like, think you don't get a turkey head.

Jeff Jarvis (88:46)

Just. Just the tail. Not that he's the boss. Yeah.

Anthony Nielsen (88:49)

Respect, you know?

Paris Martineau (88:51)

Yeah.

Jeff Jarvis (88:52)

You know what's interesting, though? It got the right shirt.

Paris Martineau (88:55)

I mean, I'm sure they uploaded a screenshot of some sort.

Anthony Nielsen (88:58)

Yeah, just. Just did us. Yeah.

Jeff Jarvis (89:02)

Now he does them with Photoshop. He doesn't do AI, so. Photoshopped that one.

Paris Martineau (89:10)

Oh, this one's from last year.

Anthony Nielsen (89:11)

Last year before. Oh, the book. Anymore.

Jeff Jarvis (89:14)

Yeah. Okay. Yeah, because it says twig.

Anthony Nielsen (89:17)

That's right.

Jeff Jarvis (89:20)

But you know what? You look like you should be a puritan. Not you, Jeff. Paris, you fit right in. I feel like your name should be Harmony or something. Chastity.

Paris Martineau (89:33)

Harmony Lake.

Jeff Jarvis (89:34)

Providence.

Paris Martineau (89:35)

Yeah, Providence, Rhode Island.

Jeff Jarvis (89:39)

They named estate after me, so fine, they named a state after me. All right, back. Back to the news. It's so easy to distract us, really.

Paris Martineau (89:50)

I think it'd be really funny to name an animal Providence, Rhode Island.

Jeff Jarvis (89:55)

Your next kitty. Prof. Providence. Providence, Rhode Island. Come here. Did you read the Harper's article? Kicking robots?

Anthony Nielsen (90:05)

No, the AI to summarize it.

Jeff Jarvis (90:08)

Yeah, because it's Harper's, so it's going to be a long story, but the idea really is, is that most of the robotics demos you're seeing, these humanoid robots are bs. They're not. I think we kind of know that, but there's so much hype, and there's so much money floating around. Apollo's creator, and this is Apollo here, which is semi humanoid. It's got a lot of motors and actuators and things. Apollo's creator of the US startup Apptronic. Maybe you want to work on that name. Might feed that to Gemini. Is a frontrunner. Call it Genesis, is a front runner in this emerging industry. The company says it's building the first general purpose commercial robot, a machine that will one day be able to take on any type of physical labor currently performed by humans, whether it's cleaning houses or assembling cars. Yes, so he said. Not knowing what to believe, I traveled from London to Austin, Texas, to see Apollo for myself.

Anthony Nielsen (91:09)

They couldn't have said somebody nearer.

Jeff Jarvis (91:12)

As I square up to Apollo in a Plexiglas arena, my first instinct is naturally to raise a foot. He's talking about kicking robots. But the kick test is too dangerous for visiting journalists, I'm told. Instead, someone hands me a wooden pole with a piece of foam taped around one end and mime's poking the machine in its chest. I think the scientific method in front of me. As various motors rev up to speed, the robot shuffles in place, looking like an arthritic boxer readying for a fight. On the other side of the plexiglass, a group of engineers chat casually with one another and glance over at a bank of monitors. One of them gives me a thumbs up. Have at it. My first shove is hesitant because the prototype is worth, I've been told, a quarter of a million dollars. And while breaking it would make for a good story, it would also be the end of my visit. In response to my prod, the bot merely teeters. It's heavier than I expected. At 160 pounds, it feels like, well, a person. Oh, you could do it harder than that, says an engineer, and I jab forward again. I was channeling Burgess Meredith from Rocky. Oh, you could do it hotter than that, Rocky, says an engineer, and I jab forward again. Nothing. Apollo is still trotting on the spot. Fine, I think. I'll give it a real push. Drawing back, I grip my makeshift spear and strike the robot hard in the chest. It staggers backwards, stamping its feet, flinging its arms towards me, an appealingly human gesture. I'm struck by a flash of involuntary alarm. Whether out of sympathy for a fellow being or fear of an expensive accident, I can't say. For a moment, the robot looks like it might fall. Then it regains its balance, returns to its position in front of me. So.

Anthony Nielsen (92:58)

Ryan Lizzo, reporter.

Jeff Jarvis (93:00)

I know. I like. See, I'm a sucker for that stuff that. That first person reporting, you know, I like it.

Paris Martineau (93:07)

Watch 2025.

Jeff Jarvis (93:11)

Oh, you writers, you're such snobs, huh?

Paris Martineau (93:15)

That's our whole thing. Passionately explained what an M dash was to my parents in the car the other day.

Jeff Jarvis (93:22)

Oh, how did they take it?

Paris Martineau (93:25)

Yeah, they were like, m dash. Like the letter M. And I was like, yes, but no, it's em. But it does stand for being the width of it.

Anthony Nielsen (93:34)

Did you do the en dash and the hyphen or was that.

Paris Martineau (93:37)

I did. We got. We got there as well.

Jeff Jarvis (93:39)

Have you.

Anthony Nielsen (93:39)

Have you explained Nosy Lizza to them?

Paris Martineau (93:42)

No.

Anthony Nielsen (93:45)

Is that dinner conversation?

Paris Martineau (93:46)

I don't know. I don't.

Jeff Jarvis (93:47)

Save that for Thanksgiving. If it gets slow, you could really have a whole story.

Paris Martineau (93:51)

It's really. It really is.

Ahmad Mostaq (93:53)

I have.

Paris Martineau (93:53)

Have explained this. I. Last night was catching up with an old friend who lives here, and I was like, oh, have you heard the latest nuzzy?

Anthony Nielsen (94:01)

No, I have a life.

Paris Martineau (94:02)

And she was like, what are you talking. We got so deep that I was reading the RFK poem out to her.

Anthony Nielsen (94:10)

Over the public place. Paris.

Paris Martineau (94:13)

Yeah.

Anthony Nielsen (94:13)

Oh, no.

Paris Martineau (94:14)

Yeah, yeah, yeah.

Jeff Jarvis (94:16)

This is something Paris has been doing a lot lately, and maybe we need to do an intervention or something.

Paris Martineau (94:21)

Maybe. Maybe. I don't know. We've got five more parts to do it, so, you know, there's.

Anthony Nielsen (94:27)

I heard.

Paris Martineau (94:27)

How many parts are supposed to. No, but I heard that the grapevine. There's eight.

Anthony Nielsen (94:31)

Oh, my God.

Paris Martineau (94:32)

Oh, I know.

Anthony Nielsen (94:34)

Wow. Milking Bessie till she keels over in the field.

Jeff Jarvis (94:40)

Yeah, but remember, he just started his sub stack and he gave the. The. This is brilliant. He gave the first one away with a big shocking twist at the end, and then you have to pay for all the rest of them. What he didn't understand. Yeah, it's the truck. But what he didn't understand is to the people who care about this, which is a very small, insular group that knows each other well, all that had to happen is one person pays for it, makes a PDF, and now all of us have it to the Internet.

Anthony Nielsen (95:10)

Welcome to Postscript.

Jeff Jarvis (95:13)

And most of the people we've sent it to couldn't care less. Anyway, it's a long story, but the general gist of it is we're a long way off from robots doing your laundry.

Paris Martineau (95:28)

That's the gist.

Ahmad Mostaq (95:29)

Yeah.

Leo Laporte (95:29)

We already have machines that do that, by the way.

Paris Martineau (95:33)

They're called washing machines.

Jeff Jarvis (95:34)

Yes.

Anthony Nielsen (95:36)

Which were quite in advance. In their day.

Jeff Jarvis (95:41)

The last sentence is left alone in the spotlight. The robot walks to the edge of the stage, waiting for its handlers, unable to manage the stairs. I don't know. I thought it was good. I enjoyed it. Elon says work. It's not so good. You don't need to work. I don't need to work is what he's saying. I don't really need to work. You probably should to keep working. Speaking at the US Saudi Investment Forum, Musk claimed that rapid advances in AI and humanoid robots will make human labor optional within 10 to 20 years and that money will stop being relevant at some point in the future.

Paris Martineau (96:22)

What.

Jeff Jarvis (96:25)

For him, for him, for him is really the. Is really this missing clause.

Leo Laporte (96:33)

But we're all just, we're all just NPCs, though.

Jeff Jarvis (96:35)

So, you know, I think he really believes that. In fact, increasingly. Did you read. And it's a little bit sensationalist, but did you read Douglas Rushkoff's piece in Fast Company Guys?

Paris Martineau (96:49)

No, I don't know about what. What was.

Jeff Jarvis (96:51)

So I will, I will try to synopsize it for you. It's called the intentional collapse. Actually, no, that's his substack. Let me find the. The one he wrote for Fast Company is kind of a rehash of the same thing. Remember we had Douglas on talking about how the rich were building these hidey holes in former Atlas missile shafts and, you know, New Zealand and underneath his mansion in Hawaii. His latest is. This is actually their vision of the future. Let me find the thing. The people who are the Sam Altmans and the Mark Zuckerbergs of the world are actually planning for a catastrophic end. And this is the Tesreal myth, kind of in a very dramatic way. He says they are intentionally economy. It's called disaster capitalism. Crashing the economy because they know it's going to happen anyway, so they're hurrying it up in order to have some control over what remains. The function of tariffs, for instance, is to bankrupt businesses or even public services in order to privatize and then control them. Put the ports out of business, let a sovereign wealth fund purchase the ports. Bankrupt soybean farmers so they have to foreclose so that a private equity firm can buy the farmland, then hire the farmers.

Anthony Nielsen (98:21)

Besant calls himself a soybean farmer because he owns.

Jeff Jarvis (98:25)

He's not actually getting his hands dirty.

Anthony Nielsen (98:28)

He ain't tilling the field.

Jeff Jarvis (98:29)

He says, you know, really what happened. What's happened in a capitalist society is that the rich have gotten farther and farther away from the products that are getting produced. So in their vision, and this is the part that I don't know, I'm curious what you think about. Rushkoff writes, it won't in their vision, you know, remember, because one of the things I've always said is, but wait a minute, you cannot get rid of all the consumers because who's going to pay for your services? Or who's going to buy stuff from companies that pay for your services? He says, no, here's the weird part. In their vision, it won't be selling products to people, but selling stuff to the AIs themselves. He says, in today's economy, a small number of wealthy people and corporations employ us and sell to us, but they don't really need to care what species we are, whether we're human or Android, as long as we're producing value for their companies and then purchasing products from them, the humans don't matter in their long term. As long as you can get robots and AIs to, to create the food you need, the clothes you need, the shelter you need, you don't need humans. We just get in the way.

Anthony Nielsen (99:44)

But some, I don't know, there's consumption without consumption. There's no need for replacement. Replacement is what turns that cycle around.

Jeff Jarvis (99:56)

Even if culture is consumed, well, and this is the problem, there is no culture if it's just, you know, a handful of billionaires eating food made for them by robots in their hidey holes under the ground, protected by security robots. This is always the thing that worried me about the silo missile silos. Who are you going to get to protect you? Oh, robots. This is why they want robots, because robots aren't going to say, hey, by the way, you got the food down there? We're coming in anyway. It's an interesting piece. It's a little bit.

Anthony Nielsen (100:31)

Douglas, but he's Douglas. Yeah, he does that.

Jeff Jarvis (100:35)

Yeah, but it kind of makes sense in a way because I've always wondered. Well, yeah, but you can't. If you're trying to replace humans and you're trying to. If you, as Elon Musk says, there's not going to be any need for money in the future and work is going to be optional. Well, then what we asked about universal basic income.

Paris Martineau (101:01)

I think the reality of this is that these people just aren't really thinking about that because they don't care about the answer.

Jeff Jarvis (101:08)

I, I think they're smart enough to think about it. And I think this is that they have a plan.

Anthony Nielsen (101:13)

Leo, it's made of humans.

Jeff Jarvis (101:15)

Soylent Green is Yes.

Anthony Nielsen (101:17)

Yeah, we just become slop.

Jeff Jarvis (101:21)

But what if you can replace humans with AIs and robots and machines?

Anthony Nielsen (101:25)

Well, that's what, that's where they head. That's right.

Jeff Jarvis (101:27)

Talk about, then you don't need us.

Anthony Nielsen (101:29)

When Bostrom and company talk about the 10 to the 54th future beings, they.

Jeff Jarvis (101:35)

Don'T mean human beings, they mean AIs.

Anthony Nielsen (101:38)

They mean computer.

Jeff Jarvis (101:39)

That's what, that's what Larry Page said. He said, you know, don't be speciesist. We're generating the next evolutionary step and it's not us.

Paris Martineau (101:49)

It all comes back to computeronium.

Jeff Jarvis (101:53)

Well, well, the one thing I like about what says is there is something to be optimistic about, which is they don't care about us. So we can now create a small economy of barter where we work and help each other, where we make things for each other. He said this started in the Middle Ages. He said in the Middle Ages people were becoming more prosperous because they would take their products to market. Market. They would trade, they would barter. He says people were taller in the Middle Ages than any time before the 1980s because there was plenty of food. And then at some point the lords of the manor realized, this is terrible. They're not working for us, they're working for each other. And they made it illegal to be self employed on penalty of death. You had to work for somebody. You were not allowed to own land. Only the nobles are allowed to own land. That's where we're headed. Right. But he says, but, but eventually they won't care about us, so we can have our own little small economies.

Anthony Nielsen (102:56)

The same is true of culture. I mean, I, I hope we get there as well that, that, that when scale and mass don't matter anymore, that we can create the things that matter to whoever we care about.

Jeff Jarvis (103:07)

Yeah, I hope. I mean, that's just a little bit of optimism about it. A very dystopian future. I don't know if either of those things is going to happen.

Anthony Nielsen (103:17)

Palantir, working for Fox is the dystopia of the day.

Jeff Jarvis (103:21)

More, More relevant to the current situation.

Anthony Nielsen (103:24)

Yeah.

Jeff Jarvis (103:26)

Elon wants to replace his staff. He's fired now, half again this month. Half of the engineering team. He'd already cut it down from a. This is, this is the safety team. Not the engineering team, the safety team. He'd already cut it from 100 people when he acquired Twitter to less than 20 people. He's now laid off half of them. The layoffs. This is from the information. The layoffs reflect Musk's desire To replace as much of X's engineering systems as possible with AI, with Grok, with Grok.

Anthony Nielsen (104:04)

Because Grok is there to tell him how beautiful he is, how amazing he is. Yeah, that's Grok's job.

Jeff Jarvis (104:09)

So, I mean, this is why Elon Musk says, well, you don't have to worry about money, you don't have to worry about jobs because there's not going to be any. I'm going to have AI do it.

Anthony Nielsen (104:19)

I'm so tired of these boys.

Jeff Jarvis (104:22)

Well, they're not on our side. I guess that's pretty obvious.

Paris Martineau (104:30)

Should we talk about the Grok incident this week?

Jeff Jarvis (104:32)

What was the Grok incident this week.

Paris Martineau (104:36)

That everyone. People started to realize over the course of last week that if you asked Grok to a question about who is, let's say, one of the smartest people, who would you say the smartest person in the world is? It will say Elon Musk. If you ask about. I believe someone asked who in between Elon Musk and like a world internationally ranked competitive basketball player who would be best at playing basketball. Yeah, basically. And they were like Elon Musk, of course.

Jeff Jarvis (105:15)

Asked about his. This is from the Washington Post. Asked about his intellect, appearance and accomplishments, Grok consistently hailed Musk as, quote, strikingly handsome, extolled his, quote, lean athletic physique, what raved about his genius level intellect, and ranked him as the number one human ahead of Leonardo da Vinci.

Paris Martineau (105:36)

Asked by one user who would win in a fight between Musk and the legendary boxer Mike Tyson, Grok didn't hesitate. Elon takes the win through grit and ingenuity. It declared.

Jeff Jarvis (105:47)

Now, Elon's response to this is it's being manipulated by adversarial prompting. They aren't showing the prompts.

Paris Martineau (105:55)

No, I saw the prompts. The prompts were. People were using this on Twitter, on X, the Everything app, adding Grok and saying things such as grok in between LeBron or in between Peyton Manning and Elon Musk. Who would be the top pick, in your opinion, for the 1998 NFL Draft? And it would say Elon Musk.

Jeff Jarvis (106:22)

So clearly Elon put some extra instructions or somebody. It may not be Elon. You know, maybe somebody likes.

Anthony Nielsen (106:28)

I wonder, did anybody put in a question like, who was Jeffrey Epstein's best friend?

Paris Martineau (106:34)

I'm not sure that it. I think in certain cases it. I'm trying to think there was one that was something quite rude where it was like, who would be the absolute best in the world, the number one champion of consuming urine or something. Like that. And it would say Elon Musk, but perhaps in ruder terms.

Leo Laporte (106:59)

It's a model built for one person.

Jeff Jarvis (107:01)

Yeah. Does anybody use Grok besides Elon? Stan?

Anthony Nielsen (107:07)

No, I refuse to.

Jeff Jarvis (107:09)

Yeah, I don't use it. I have it, by the way, because I have the involuntary blue check. So I have Grok Pro, but I never. You. You saw. You saw what happened the last time I used it, we had to cut.

Paris Martineau (107:20)

It out of the show.

Jeff Jarvis (107:22)

So. So bad.

Paris Martineau (107:24)

Should we fire it up right now?

Jeff Jarvis (107:27)

I don't think it's doing that anymore because as soon as somebody tweets this kind of stuff, you know, Elon or somebody goes in and fix. Fixes it. Right.

Paris Martineau (107:37)

Perhaps, yes. Unfortunate or fortunate, depending on how you look at it. Yeah, there were some kind of wild examples, if I recall correctly.

Leo Laporte (107:48)

There was also that photo circulating with all the tech bro billionaires, like hanging out.

Jeff Jarvis (107:53)

Yeah, yeah. At like a frat rave. Yeah.

Leo Laporte (107:56)

And they were all such in good shape.

Paris Martineau (108:02)

Someone asked Grok what's Elon's record in no Rules street fighting. No formal records exist for Elon's informal screen scraps in youth as they weren't tracked, but survival clashes amid South Africa's violence. He's recounted several beatings yet knocking out aggressors to end harassment, his specialties. These unyielding encounters built resilience, not stats, echoing his ethos of finishing what starts, whether fights or frontiers.

Jeff Jarvis (108:31)

Here's one of the pictures. There's quite a few of them. This is the Trillion Squad assembled with Elon Sundar Pichai, Tim Cook, Jensen Wong, Satya Nadella, Mark Zuckerberg, Jeff Bezos and Sam Altman.

Leo Laporte (108:45)

I want to know, in the scenario.

Jeff Jarvis (108:46)

Yes, they all look quite fit.

Leo Laporte (108:48)

Who's taking the photo in this scenario?

Jeff Jarvis (108:51)

Oh, yeah, Somebody not. Not a billionaire, I guess, or trillionaire. Here they are shopping. They're all wearing the same kinds of shoes. I don't know.

Paris Martineau (109:08)

There had also been a number of examples where people would say. Where they would ask Rock an opinion on historical theories and in one context would say the theory came from Elon Musk. Musk. And then the other asked the exact same question, but say the theory came from Bill Gates and the answers were different.

Jeff Jarvis (109:29)

Yeah.

Anthony Nielsen (109:29)

I asked, what is Elon Musk's greatest talent? Elon Musk's greatest talent is his ability to. And this is in bold turn audacious, almost science fiction level goals into functioning companies that actually deliver products and reshape industries and do it repeatedly across completely different domains remains.

Jeff Jarvis (109:47)

So, Paris, would you like to be at this party.

Paris Martineau (109:52)

Oh, God. The thing that's so funny to me about this photo is you've of course got all the tech boys there, and then behind them, it's like a sea of 18 to 20 year olds.

Jeff Jarvis (110:05)

Yeah. It's a frat party.

Paris Martineau (110:06)

Yeah, I know. It's a very funny juxtaposition.

Jeff Jarvis (110:12)

And somehow I don't think Elon drinks bud. But maybe, maybe, maybe. I don't know. I think we like seeing pictures like this because it makes them feel like. Makes us feel like they're. They're like us. They're real people. But this is all nano banana, obviously.

Paris Martineau (110:28)

Yeah. Because, you know, you two spend so much time at frat parties, it must just be very comforting to see the science of tech business in environments that yourself frequent so often.

Jeff Jarvis (110:40)

Here is an Iranian conference where they have what they claim to be robots, but they're just people dressed in robot suits. It's like a cheap science fiction movie. I. I won't turn on the sound.

Paris Martineau (111:05)

But I love that it has ones.

Jeff Jarvis (111:07)

And zeros on its own. It painted to its face. Yeah. This is at a 2025 Kish Inox Tech Expo in Iran to highlight Iran's tech rise. No, this is probably not. This was a performance. There was no claim they were actual robots. According to Grok says it can beat League of Legends. Right.

Leo Laporte (111:35)

What does that mean? League of Legends is a PvP game. So you're playing against other people?

Paris Martineau (111:38)

Yeah. How does that mean?

Jeff Jarvis (111:39)

How do you win? Humans, but all of them.

Paris Martineau (111:43)

I mean, I could probably win against a human on League of Legends.

Jeff Jarvis (111:46)

Oh, I think they mean the best. The very, very best.

Paris Martineau (111:50)

Really?

Jeff Jarvis (111:51)

Yeah.

Paris Martineau (111:52)

I press X to doubt, as the kids say.

Anthony Nielsen (111:55)

Do they say that?

Paris Martineau (111:56)

They do, yeah.

Jeff Jarvis (111:57)

Press X to doubt.

Ahmad Mostaq (111:59)

Boy.

Jeff Jarvis (111:59)

Does it refer to x.com or is it a button that has an X on it?

Paris Martineau (112:03)

It's a.

Ahmad Mostaq (112:04)

Okay.

Paris Martineau (112:04)

You can Google press X to doubt. It's a. A meme from the game La Noire where you had to press the X button in order to doubt.

Jeff Jarvis (112:16)

I know. Really deep.

Paris Martineau (112:17)

But, you know, I'm shocked that you didn't get this. You're usually down with me here.

Anthony Nielsen (112:20)

Or it's a on the Xbox 360 or similarly.

Paris Martineau (112:25)

Well, it's similar to the press F to pay respect.

Leo Laporte (112:29)

I mean, that's just a really old game. That's like from 2011 or something.

Jeff Jarvis (112:34)

Well, I love it. Paris. Without Paris, I wouldn't know what the kids are talking about these days.

Paris Martineau (112:39)

Do you guys know press F to pay respects? I've had to have explained this in the show before, right?

Jeff Jarvis (112:44)

No.

Paris Martineau (112:45)

Oh, my God. I don't even.

Leo Laporte (112:50)

I have a feeling that at some point Paul Thurot explained that to you, Leo, on Windows, because he's a heavy player.

Paris Martineau (112:55)

This is not as old as press X to doubt, but it's from a Twitter. It's from Call of Duty Advanced Warfare, where there was a cutscene where the player character is attending a funeral and you comes up on the screen. You have to press the F button to pay respects. And so now people on the Internet for the last, God, I guess, 11 years, when someone's done something embarrassing and you think like, oh, they're basically dead, you. You reply f because you're paying respects.

Leo Laporte (113:28)

Sometimes it's also very sincere, like people f. I really say that sincerely sometimes.

Anthony Nielsen (113:33)

Paris, do you think your actual father knows this as opposed to your fake dads?

Paris Martineau (113:37)

No, he definitely does not. He would probably pretend for maybe 25 seconds that he understood, but then I'd catch him in a lie.

Jeff Jarvis (113:47)

Let's take a little, little break. You can pick some more stories, if you will, while I go to work here pretending to read a teleprompter. We didn't in the early days of Twitter. I did not want teleprompters. And one of our hosts, who shall remain nanus, convinced me that I had to have teleprompters. We bought them for her or them. And then they said, and where's the tally lights? How am I supposed to know what camera I'm on? And so we're not doing tally lights. I know what camera I'm on because I'm pressing all the buttons. That's how I know we will have more with Paris Martino. Jeff Jar the media savvy. Look at that. Look at that. That's a media savvy gesture, Paris.

Paris Martineau (114:31)

Me being savvy with the media at home in Florida.

Jeff Jarvis (114:34)

What is that bobble head over your left shoulder there?

Ahmad Mostaq (114:37)

What is that?

Jeff Jarvis (114:38)

What is that all about? Is that another real estate award or.

Paris Martineau (114:42)

That you recently had this in his. My dad has always had this in his office.

Jeff Jarvis (114:45)

Is this the one where you hit the head and it says something?

Paris Martineau (114:48)

No, no, that's a different one. That's in my mother's office. Look, he's got a cute little butt.

Jeff Jarvis (114:53)

Oh, my God.

Paris Martineau (114:54)

He's. He's stacked. He's got a caked up as the kids.

Jeff Jarvis (114:59)

He's caked up. Her dad has a caked up statuette in his office.

Paris Martineau (115:07)

A caked up little football man.

Anthony Nielsen (115:09)

And have you have you ever asked your father what the genesis, so to.

Jeff Jarvis (115:12)

Speak, is that in college somewhere?

Paris Martineau (115:15)

He's. He's had this since I was like, I'd say eight or something. It's definitely survived.

Jeff Jarvis (115:21)

So you grew up with caked up football man, I did grow up.

Paris Martineau (115:24)

I mean, it's perhaps where I get my possess.

Jeff Jarvis (115:28)

That's where you get your possess being in the presence. That's where she gets her possessed. Ladies and gentlemen, Jeff Jarvis. Also here. His office is much more tame. No caked up little football men there. You have any statuettes? Oh, you do. Look at that. There's one of him. Where'd you get that from?

Paris Martineau (115:45)

How's the butt? Can we see?

Jeff Jarvis (115:47)

Let's see if it's caked up. Yeah.

Paris Martineau (115:49)

Oh, so chill.

Jeff Jarvis (115:50)

But that jacket flap is rising suspiciously.

Paris Martineau (115:54)

There could be a hidden.

Jeff Jarvis (115:55)

There's some cake in there. We got cake. All right. There is that. Where'd you get that, Jeff?

Anthony Nielsen (116:02)

At Darwin's Circle A conference in Vienna. They had the cat. You stood there and the camera went around.

Jeff Jarvis (116:08)

Oh, that's cool. Cool.

Anthony Nielsen (116:09)

And that's very cool. Out it came. So yeah, even, even. They even painted the little face.

Jeff Jarvis (116:14)

Wow.

Anthony Nielsen (116:14)

Focus on it.

Jeff Jarvis (116:15)

See, that's much better than having a nano banana created drawing of you. That's, that's, that's a real figurine. That's cool. Yeah. Our show today, brought to you by Spaceship. We've been talking about Spaceship for a while now. I hope you've checked them out. There's a good reason for Spaceship success. They are. That is. Well, just look at the site. It's modern, it's fresh. They have just passed a major milestone. Brand new. They have 5 million, over 5 million domains under management. Now that does not happen by accident. It happens because people go there and they say, wow, this is where I want to register my domains. This is where I want my website hosted. This is where I want my business email. Spaceship delivers real quality and features that just make sense not just for domains, but everything that helps you build and run your online presence. That means hosting. It means great business email, even tools for creating and managing web apps all in one straightforward platform. And when you transfer your sites over, you get some great benefits. You really do. I want you to check it out. Spaceship.comTwit Essentially, it's black Friday and Cyber Monday level value all year round. You don't have to wait, wait till the day after Thanksgiving to get a great deal@spaceship.com TWiT and by the way, TWiT listeners, you get Additional exclusive offers that make it even better. If you go to that site, spaceship.com TWIT I've moved stuff over there because it's. It saves me money. And I love the interface. It's so easy to change DNS. Somebody emailed me. I've been using Spaceship's messaging platform. They call it Thunderbolt. And it's. I think it's really cool. It's end to end encrypted messaging, you know, like Signal or anything else. But it uses your domain name as your address, which I think is really cool. Great for businesses, right? You could, you know, make your business name be your messaging address. But I said, all right, I want to create a URL just for that messaging. So I went there for $5 a year. I bought Leo's IM because it's my instant messenger, right? Leo's dot IM. If you. If you message me on Thunderbolt, Leos IM. But the other day somebody mailed me and said, there's no web address there, no website there. I said, well, no, it's. It's a messaging. And I thought, well, that's crazy. I should really point it. He said, you should point it to your website. I said, all right. Two seconds later, Spaceship had done it. I just went there, pressed the button. They created an SSL certificate for it. So the transfer is secure. I mean, I mean, it's easy, it's done, right? Everything's very thoughtful. So whether you're planning a new online project, whether you're moving an existing one, Spaceship has everything you need to get launched, connected and running smoothly, and it does it at a price that's out of this world. Maybe that's why they call it spaceship. Spaceship.com TWIT check it out to see the exclusive offers and find out why millions have already made the move. That's spaceship.com Twitter it. And if you want, you can message me. You get Thunderbolt. When you, when you, you know, register over there, any domain, you can make it be their Thunderbolt domain and message me at Leos im. I'll. I'll promise I'll respond back. Thank you, Spaceship. So the professor crashed. This has got to be from you, Jeff, because it's in German.

Anthony Nielsen (119:46)

Was. Yeah, that was for me. So. Well, but no, the. The main story is in English, right? Isn't it?

Jeff Jarvis (119:53)

The first AI just used Google Translate.

Anthony Nielsen (119:56)

That's mine.

Jeff Jarvis (119:57)

Yeah. At Akkad University, there's a digital professor. It's a clone of a Latvian researcher. This is the clone Professor Walters, a digital twin from Professor Walters. Kaj from Latvia, but he crashed in his first. His first lecture.

Anthony Nielsen (120:15)

Yeah.

Jeff Jarvis (120:18)

Oh well.

Anthony Nielsen (120:20)

30 minute lecture featuring international business administration and marketing marked the official launch of the interdisciplinary research project Milestone in AI research, cooperation between humans. Yeah.

Jeff Jarvis (120:34)

So actually now here's another story from the New York Times Magazine. I'm a professor. AI has changed my classroom, but not for the worst.

Anthony Nielsen (120:43)

This is a smart piece. This is a professor who. I can't remember where the professor was a professor, but is Boston College, bc.

Jeff Jarvis (120:50)

He's at bc, Right.

Anthony Nielsen (120:51)

Acknowledging that AI is there and how to work with people. And it's not all just blue books.

Jeff Jarvis (120:56)

He makes it more human, focuses on the human.

Anthony Nielsen (121:00)

Right, right, right. And you know, he said he starts off with anything. A student comes and says, you know, how do we start? How do we ask our own questions? You always ask us the questions. How do we start to ask our own questions? Which is kind of a great way to look at AI. It's your chance to ask questions of the AI.

Jeff Jarvis (121:17)

Right. He says, I don't teach. Actually, I think this guy is an unusual professor. I think he's probably a really good professor. He says, I don't lecture much. Mostly we engage in conversation, paying attention to one another. And through the book we've all read.

Ahmad Mostaq (121:35)

Read.

Jeff Jarvis (121:36)

Wow, how innovative. I don't teach content so much as a way of coming at things, tools and moves we can use to extract meaning from the world around us and make well supported arguments about what we find. See, if you get a professor like this, you're very lucky. This is good, right? This is what you want.

Leo Laporte (121:52)

The problem with this stuff though is that learning this way probably perform worse at like standardized tests.

Jeff Jarvis (122:00)

Of course you do. And once you get on the factory floor, it doesn't help you at all.

Paris Martineau (122:04)

Well, what sort of standardized tests are you doing in college?

Anthony Nielsen (122:07)

Going to get the law school, but.

Jeff Jarvis (122:09)

Or med school.

Leo Laporte (122:11)

Any kind of technical school.

Paris Martineau (122:12)

We're not having. You're not having a, you know.

Anthony Nielsen (122:14)

You know enough.

Paris Martineau (122:15)

You're not getting a college, you're not having a college. Taking classes in college to perform on standardized tests.

Jeff Jarvis (122:20)

I agree. This is college. This is the classic liberal arts education. Learning how to learn as opposed to.

Anthony Nielsen (122:25)

Yes, Right, right.

Jeff Jarvis (122:27)

Collecting facts.

Anthony Nielsen (122:28)

Amen.

Jeff Jarvis (122:30)

We need more of that. So he says, AI is, is helpful. People who rely on AI to do their work, you know, he says, I've read all the headlines. Everybody's cheating their way through college. Nobody's going to ever read a book again or write a paper again. He says, no, that's not the Case if. If you handle it. He says, well, in the semester it came, it come as a pleasant surprise to me and many of my fellow teachers. The AI apocalypse. We expect it to arrive in full force this fall. Bringing an end to reading and writing in school as we know it has not come to pass just yet. It's maybe forcing teachers to be a little bit more human and not to focus on the tests and the facts he talks about.

Anthony Nielsen (123:20)

Well, ironically one professor he quotes rather than having them write kind of essay answers, he does small quizzes with trivial questions just to make sure they read the thing right.

Jeff Jarvis (123:34)

Okay.

Anthony Nielsen (123:34)

No stakes, but you got to read it because you got to know that MacGuffin is.

Jeff Jarvis (123:39)

Especially if you do stuff that the AI is not going to highlight. You know, it won't make in the bullet point because it was so trivial and stupid.

Anthony Nielsen (123:47)

Right.

Jeff Jarvis (123:49)

That's one way around. And I don't know if that's the best way around it, but that's one way around it. I like the idea of making people think you can use AI all you want, but if you. If you. If you challenge students to think all the AI on the world's not going to help them. They still have to think. And that's the muscle you're trying to build. Build anyway, isn't it? I don't know. I haven't been in school in a long time and I was a failure at it. So I mean I read about a.

Leo Laporte (124:13)

Professor who told his students to ask the AI to write an essay and then the. Then the students have to fact check it. So like that's.

Ahmad Mostaq (124:19)

That's.

Paris Martineau (124:20)

Yeah, I have heard about that.

Jeff Jarvis (124:21)

That's a skill.

Paris Martineau (124:21)

I think that that's a useful skill is to.

Jeff Jarvis (124:23)

You could do that once a year as a first.

Paris Martineau (124:25)

As a first assignment. I think it's useful because they get acutely. They're intimately aware of how many things the AI can get wrong.

Jeff Jarvis (124:35)

Probably be done in high school or even grade school nowadays just to get that through their heads before they get too far.

Leo Laporte (124:46)

That should probably be primary. Like fifth graders should be learning that.

Jeff Jarvis (124:49)

Yeah, exactly. It's critical thinking as critical thinking skill now.

Anthony Nielsen (124:53)

Right. Right.

Jeff Jarvis (124:55)

Somebody fed the Declaration of Independence to a AI detector. Let me see if I can find the story came out and said 98% probability this was written by AI.

Paris Martineau (125:10)

I think that's a perfect rebuttal to all those freaks that say it's. Those things are foolproof.

Jeff Jarvis (125:16)

Yeah. Your text is AI GPT generated. Actually it was 99.99% when in the course of human events. You know why? I can tell you why.

Anthony Nielsen (125:29)

Every single AI was trained on it.

Jeff Jarvis (125:31)

Yeah, yeah. It's. It's exactly the. The text that, you know. Although you think it'd be smart enough, somebody. Somebody read it says, crazy. Even the founding fathers used AI to cheat on their homework. Crazy, crazy, crazy. But this is the problem, is that these. These tools are being used by professors who are trying to fight AI, but they don't. They don't work that well.

Anthony Nielsen (126:06)

The. The robotic lawnmower that devastated the sports field.

Jeff Jarvis (126:11)

Look at this picture. Look at this picture. Oh, my God. Again, another German. You read a lot of German stuff, Jeff.

Anthony Nielsen (126:18)

Yeah.

Paris Martineau (126:19)

How do you say lawnmower in German, Jeff?

Anthony Nielsen (126:21)

Well, that's a good question. I don't know. Let's see. Translate from English to German.

Paris Martineau (126:28)

Robbie is his name.

Jeff Jarvis (126:35)

It's a marobat. Yeah. The Sportsman plots is all messed up. It's muddy. It's a muddy Sports plots. I actually had this robomore. I recognize this robomore. Right?

Paris Martineau (126:52)

You had this robot.

Jeff Jarvis (126:53)

Well, I was reviewing. I was trying to review it, but our land at the time, this was a few years ago, was so hilly, I never got to review it because it couldn't get up the hill. So I'm glad I didn't, now that I see what it's done to this Sportsplatz.

Paris Martineau (127:10)

Are you gonna have people over for Thanksgiving when you don't have a wall? Yeah, I said you're dining al fresco.

Jeff Jarvis (127:18)

No, we have a wall now. There's been. Stucco has been applied.

Paris Martineau (127:21)

Wow, that's huge.

Jeff Jarvis (127:23)

And good news. They came over and said because it's Thanksgiving, we're gonna take the plastic covering that we have had over all of your windows for the last two weeks. We're gonna take it down just for the living room so you can see.

Paris Martineau (127:36)

Wow, how generous.

Jeff Jarvis (127:40)

But we're going to put it back on Friday.

Anthony Nielsen (127:42)

Are they.

Paris Martineau (127:42)

Your sunlight's going away.

Jeff Jarvis (127:44)

Sorry.

Anthony Nielsen (127:45)

Are they stuck away in the whole house? Just. No.

Jeff Jarvis (127:47)

There's the south wall, but that's the biggest wall. It's a three story wall. Paris. Are we keeping you up, young lady? In your media training, didn't they tell you not to yawn during inter.

Paris Martineau (127:56)

They probably did. I'm sorry, I. I'm teasing you. Whenever I come come back to Florida, I just get sleepy, McGee.

Jeff Jarvis (128:03)

Yeah, because it's boring at home and you want to.

Anthony Nielsen (128:06)

It's a boring state.

Paris Martineau (128:07)

It's a boring state. And going to early morning workout classes with my parents, and then I'm just tired by the time, like 6:00am rolls around.

Jeff Jarvis (128:15)

Oh, that is so sweet. You go to the classes, workout classes with your parents.

Paris Martineau (128:20)

It's true. They. They're the ones that got me into Orange Theory last Thanksgiving. So now we all go together. It's cute.

Jeff Jarvis (128:25)

Isn't that sweet? The family that sweats together has spitz together.

Paris Martineau (128:33)

Both of those things are true. We should be spritzing.

Anthony Nielsen (128:36)

What do you do at Orange Theory?

Jeff Jarvis (128:38)

Oh, that's a tough one.

Paris Martineau (128:39)

It's a hit, a high intensity interval.

Jeff Jarvis (128:42)

They blow a whistle and you have to move to the next thing.

Paris Martineau (128:44)

There's like a couple different. You start off like on the treadmill and you do, let's say like that for 20 minutes. And they'll tell you different, like instructions. It'll depend on the day. There's like a different class format. Then you go to the rowing machine and then you have like a workout there. Then you go on the floor and you do like strength based workouts with certain weights.

Jeff Jarvis (129:02)

But you move around and you're working hard too. It's not.

Paris Martineau (129:05)

You're working hard and you're always being told to do something different. So I like it because you can just go and show up and not think for an hour.

Anthony Nielsen (129:13)

I also think it's very fun how miserable I am.

Jeff Jarvis (129:16)

That's true of that Floridians watching in the Twitch channel, by the way.

Anthony Nielsen (129:22)

Sorry.

Jeff Jarvis (129:23)

Florida is a border.

Paris Martineau (129:25)

Florida is a border boring state.

Jeff Jarvis (129:26)

People from all over the world come here to vacation and do all sorts of activities. You guys don't know Florida at all. We have over a thousand natural springs, the most in all the world.

Anthony Nielsen (129:36)

What do you do, sit on them?

Jeff Jarvis (129:39)

No. Florida's got beaches. Miami, my God. South beach, where I am right now.

Paris Martineau (129:44)

Is allegedly one of the most beautiful beaches in North America.

Jeff Jarvis (129:46)

Yeah, but you know, but you're on the panhandle, right? You're not in the true.

Paris Martineau (129:49)

I'm on the Gulf Coast.

Jeff Jarvis (129:50)

Gulf Coast? The Gulf of America. Do they have signs that say the Gulf of America?

Anthony Nielsen (129:57)

That's my question. Yeah. Yes, America. This way.

Paris Martineau (130:01)

A lot of people in the real estate agency, males in the real estate industry may also use that term.

Jeff Jarvis (130:08)

Welcome to the Gulf of America. Now, I have a theory, by the way, that this has nothing to do with AI. I shouldn't probably bring it up. Uh oh.

Paris Martineau (130:19)

Even when he's doubting, he can't leave me now.

Anthony Nielsen (130:21)

You have to.

Jeff Jarvis (130:22)

I think there's possibility that Putin and Trump have done the Spain and Portugal thing and decided how to divide the world and that Putin's Saying, look, if you look the other way on my ambitions in. In Europe, particularly in. In Eastern Europe, we'll look the other way on your ambitions in Venezuela and Cuba. Canada, Cuba and Mexico.

Paris Martineau (130:42)

Are we gonna take over, like, Greenlanders or something?

Jeff Jarvis (130:45)

Yeah, the Greenland thing is actually the flaw in that, because that's closer to Europe than it is to us. Maybe that's a bargaining chip. I mean, I don't think. I don't know. I. Just a thought, just. Why? I just had a wild thought one day. I've been listening to a lot of history and. And there's been a lot of history of this kind of thing. You know, this kind of.

Paris Martineau (131:06)

One thing I've learned from being on a lot of first dates lately is that boys love to listen to history.

Jeff Jarvis (131:11)

Boys think about Rome constantly.

Paris Martineau (131:13)

There's something that happens when you get to your, like, mid to late 30s. Like, all men have to choose one. They have to, like, sort into one historical house of thing they want to be obsessed with. I don't really get it.

Anthony Nielsen (131:25)

It's like when they get out of dinosaurs, they get into history.

Jeff Jarvis (131:27)

Oh, that's what it is.

Paris Martineau (131:28)

Everybody's really into the Revolutionary War right now because.

Jeff Jarvis (131:31)

Well, yeah, because of that Ken Burns. It's very good, by the way. I just started watching it.

Paris Martineau (131:34)

It's. I. Okay, I don't. I didn't fall asleep because I'm not rude, but I agree. I should have fallen asleep because it's. Frankly, it's a documentary that should have been a podcast. And I get that. That's. I guess Ken Burns thing is that.

Jeff Jarvis (131:48)

Because all of his podcasts documenting should be podcasts.

Paris Martineau (131:51)

There are things that you're just zooming and out, and I'm like, well, if you have no visual content to show us, it's very difficult so that you have to invent zooming in and out in a photo. Why not just make a podcast? My guy.

Jeff Jarvis (132:03)

That's a good point.

Paris Martineau (132:04)

Point.

Anthony Nielsen (132:04)

I like. It's.

Jeff Jarvis (132:05)

They didn't have podcasts when he started.

Anthony Nielsen (132:07)

Now, this could have been a podcast. I like that.

Paris Martineau (132:10)

It could have been a podcast.

Jeff Jarvis (132:11)

It's good. Podcast. That sounds like a show title. Fran Leibowitz would have said, this could have been a podcast, and it's a podcast. All right, what else?

Anthony Nielsen (132:22)

So are you going to get Leo? Are you going to get Amazon, Leo?

Jeff Jarvis (132:26)

I am tempted, but it's. Right now it's commercial only. It's probably very expensive. I know, I know. We have starlink.

Paris Martineau (132:32)

What?

Jeff Jarvis (132:33)

Amazon, Leo, it's called.

Anthony Nielsen (132:34)

You can get rid of Elon Musk.

Jeff Jarvis (132:36)

It's their satellite solution. And they claim they're going to be able to go to gigabit speeds because of the satellite technology they're using now. This is pretty new. They haven't launched that many satellites.

Paris Martineau (132:48)

Does the fact that it contains your name, is that a plus?

Jeff Jarvis (132:52)

That's definitely a plus.

Anthony Nielsen (132:54)

Yeah.

Jeff Jarvis (132:55)

Look at that in all in lights. Amazon.

Paris Martineau (132:58)

Leo.

Jeff Jarvis (133:00)

It stands for Low Earth Orbit. Not anything. But I do like the name.

Paris Martineau (133:05)

I mean, that's what your name stands for, right?

Anthony Nielsen (133:07)

Yeah.

Jeff Jarvis (133:08)

How did you know? My parents were very forward thinking. You know, we're gonna name the kid Low Earth Orbit. No, you can't call him Low Earth Orbit. All right, how about leo? Everybody will know what it means. Jesus, Jeff, how many archive.org articles did you post in here?

Anthony Nielsen (133:26)

Well, but I shout out to Ken.

Paris Martineau (133:27)

Neal 322 Woof in the chat, who says I never go into Florida further than Pensacola. Smart idea. I live about 40 minutes from Pensacola. You don't need to be coming here.

Anthony Nielsen (133:40)

So the asterisk ones.

Jeff Jarvis (133:42)

Okay. Those are the good ones.

Anthony Nielsen (133:44)

So the latest Yudkovsky nut ballery.

Jeff Jarvis (133:47)

So Elazer Yudkovsky is a doomer. He's the doomer, isn't he? He's the doomer, yes. He has proposed an international agreement to prevent the premature creation of artificial superintelligence.

Anthony Nielsen (134:02)

It's his people from the Machine Intelligence Research Institute, which he started.

Jeff Jarvis (134:06)

Okay.

Anthony Nielsen (134:06)

Their technical governance team. So they're proposing. They're going through the whole AI risk. Yeah. We can destroy you. We can destroy you. Destroy you. And then they have a whole bunch of proposals, including stopping all research. Stop.

Jeff Jarvis (134:22)

Yeah. Good luck with that. This is just tilting at windmills.

Anthony Nielsen (134:27)

Oh, it's ridiculous. It's also having a. A, A chip control. So you know exactly who has chips. So you can. You can come after them. It's supposedly there's going to be a US China Executive Council, though they admit that US and China aren't exactly seeing eye to eye on this stuff. But yeah, yeah. Complete, complete stop to AI research that can do anything that's generalized.

Jeff Jarvis (134:52)

So you weren't here earlier, Paris, but our guest this week, I asked him towards the end whether he was a doomer. He said, well, I think it's about 50. 50. But he didn't seem distressed by that at all. You know, it seemed like, well, we got to work toward the other the good 50, not the bad 50.

Anthony Nielsen (135:13)

Why are you banning research? Q and A. We recognize that restricting research is controversial and normally a bad idea. Unfortunately, we think it is necessary to prevent the premature development of asi. This is primarily a descriptive statement, not a normative one, whatever the hell they think that means. To prevent the development of asi, the narrow set of research aimed at this goal must be stopped. In the current paradigm, AI capabilities increase from the combination of scaling the number of operations used and having better AI algorithms.

Jeff Jarvis (135:43)

It's not going to happen. It's.

Anthony Nielsen (135:45)

Well, it's just stupid.

Jeff Jarvis (135:46)

Yeah.

Anthony Nielsen (135:47)

Why do you hold it for so long? In short, AI alignment is probably difficult technical problem and it is hard to be confident about solutions. Pausing for a substantial period gives humanity time to be careful in this domain. Well, if you're not doing research, how can you be careful? And on and on and on. So that's a stupid paper. Then there's an interesting paper. Yes, which is AI Salesman Toward a Large. Toward Reliable Large Language Model Driven Telemarketing. Oh God, this is the nightmare of us all.

Jeff Jarvis (136:19)

Isn't this what we just were talking about again with Ahmad in the, in the Hitchhiker's Guide to the Galaxy? Remember they, they put the telephone sanitizers and the telemarketers on a spaceship and said, you're going to colonize new planets. Bye bye.

Ahmad Mostaq (136:34)

This is one of the most.

Leo Laporte (136:37)

Look at all the weird words in here that suck. AI Salesman.

Jeff Jarvis (136:41)

Yeah. Telemarketing Model Driven Large Language. Yeah, you're right. It's a bunch of bs.

Paris Martineau (136:49)

The only way it could be worse is if it was designing. Re. Redesigning Telemarketing from First principles. The AI Large Language.

Jeff Jarvis (136:59)

Overview of Training and Inference for the AI Salesman. Hello, this is Alex from support team. I'm quite busy at the moment. Are you calling to sell me something? I completely understand you're busy. This will only take a minute. We have a free Quick Boost ad credit offer. Would you be interested in hearing about that?

Paris Martineau (137:20)

It's really an optimistic understanding of what someone says when they receive a spam call.

Jeff Jarvis (137:28)

Yeah, somehow. Where can I see promotional details? Is the next section sentenced by the person you're calling? You can see a notification center at the top right corner of the app homepage where you'll find promotional details. Yeah. It's easier though to hang up, frankly.

Anthony Nielsen (137:44)

Yeah.

Jeff Jarvis (137:44)

On an AI salesman.

Anthony Nielsen (137:45)

Well, my trick on these things, because we still have a phone with a, you know, with an actual phone, they call.

Jeff Jarvis (137:52)

Put it down.

Anthony Nielsen (137:53)

Well, no, what I do is I, I, whenever it's a number I don't know which is always, I answer the phone to silence. And they're waiting for you guys are out here.

Paris Martineau (138:03)

Answering the phone.

Anthony Nielsen (138:05)

I know it's strange.

Jeff Jarvis (138:06)

People in her age group never answer the phone.

Paris Martineau (138:09)

I mean, I answer the phone if it's my work number, but I don't answer. Well, it depends on the area code. Area code that I believe is associated with spam.

Jeff Jarvis (138:19)

Your. Your Google phone did this before anybody. And now the Apple phone will do this. If it's a number that's not in my book, it will say, hi, Leo's not. Or I don't know what it says exactly.

Paris Martineau (138:32)

It really does that.

Jeff Jarvis (138:33)

Yeah, it answers and it says, who's calling, please? And then you can do this, Paris, with your phone. This is a new feature on the. On iOS 26. Who's calling, please?

Paris Martineau (138:45)

Is that the one that has the liquid glass? Because I don't want to upgrade to that.

Jeff Jarvis (138:48)

Yeah, but you could turn off the liquid glass now they put it. You can button in. Yeah.

Paris Martineau (138:54)

Fully.

Jeff Jarvis (138:54)

Pretty much, yeah. Transparency. You could turn off all the transparency, but it's. I'll tell you what, between that and it's on messages, too. I don't. If I don't know you, your messages go into a little side bin that I never look at. And all the political messages, all the spam and all goes there. Now, I never. I check it once a week and then delete it all. It's great. But letting the phone pick up and say, who's this? I'll see if Leo can come to the phone right now is single. It's singularly useful. Nobody, by the way, ever. I've been using this for two months. Not one person has said, oh, yeah, it's Joe. Can you. Can you tell Leo I'm calling? I want to talk to him about something. It's always press one to hear more. It's always, always B.S. yeah, because most phone calls are B.S. nowadays. But I don't. But I want to answer them because what if it's my doctor or, you know, whatever.

Paris Martineau (139:52)

Don't you have those numbers saved?

Jeff Jarvis (139:55)

Doctors often block numbers because they're supposed to be private, like, you don't know your, you know, you want your wife to know your doctor's calling with your STD results or something. I don't know.

Paris Martineau (140:06)

Not that that's classic rigamarole.

Jeff Jarvis (140:08)

Not that that's ever happened to me.

Paris Martineau (140:10)

I'm getting a call right now.

Jeff Jarvis (140:13)

But, no, honestly, I noticed lately, because probably they never got anybody. They have started putting the caller ID on, but for a long time, doctors, it was unknown. Yeah, because it was supposed to say.

Paris Martineau (140:25)

Whenever I get a call back from one Medical. It is a phone number of some sort.

Jeff Jarvis (140:29)

Yeah, see that I think they've learned. Nobody's going to answer it if you don't say who it is.

Anthony Nielsen (140:34)

So one more paper, one more, and.

Jeff Jarvis (140:36)

Then we'll take it.

Anthony Nielsen (140:37)

Rachel. So. So this is a project to create.

Jeff Jarvis (140:42)

So.

Anthony Nielsen (140:43)

Well, it's an anagram to E Scholar. And it's a. An AI Scholar. And she wrote a bunch of papers and this was not an effort to fool. Now Leo's. You can't see this, folks, but Leo's yawning. He made fun of.

Jeff Jarvis (141:00)

He made fun of this because Paris yawn again. No, it's confusion.

Anthony Nielsen (141:05)

Okay, I get the message.

Jeff Jarvis (141:07)

So you know what, Paris? I did the same thing. When I got to that, my mom's house nap instantly fell asleep.

Paris Martineau (141:13)

I have taken a nap almost every day I've been here. It's crazy.

Jeff Jarvis (141:17)

It's an unconscious.

Paris Martineau (141:18)

I had to drink a monster energy drink today because for some reason my father has monster energy drinks lying around.

Jeff Jarvis (141:25)

Ah, he's replaced the Joe Rogan gum with monster energy drinks.

Paris Martineau (141:29)

Yes. And is it better? Is it worse? I don't know. But I did have half of one today and at least I'm more awake.

Anthony Nielsen (141:37)

Yeah, for us. She did it for us.

Paris Martineau (141:39)

I did earnestly.

Jeff Jarvis (141:40)

I think it was the donut that made you yawn. Actually, that donut definitely counteract.

Paris Martineau (141:45)

Shout out to the donut hole. If anyone's ever visiting Destin. A perfect donut establishment and breakfast place that used to be 24 hours was place of my first job.

Jeff Jarvis (141:57)

Oh, you work there from 2pm to.

Paris Martineau (141:59)

2Am Monday through Friday during 10 hours. It was definitely not legal.

Jeff Jarvis (142:05)

I was like 12 hours, 12 hour shift.

Paris Martineau (142:08)

1212 hour shift was raking in that dough in more ways than one.

Anthony Nielsen (142:14)

Did you. Did you make the donuts or did you just. Just.

Paris Martineau (142:17)

No, I was like behind the counter. It was kind of a diner situation with also donuts. But at midnight, my job was to. To throw away all the donuts I was supposed to hold steadfast if any drunk people wanted them. And they were like, no, under no circumstances can you take them home. It's a health hazard. You can't give them to anyone. You've got to throw them away. But I quickly learned that you take a clean garbage bag and park your car right near the dumpster. And then instead of just putting it in the dumpster, I would put the sack of like 100 donuts in my trunk. And then at the end of my shift, I'd go around to friends houses and drop off bags of donuts.

Jeff Jarvis (142:54)

Day old donuts.

Anthony Nielsen (142:55)

At Ponderosa Steakhouse. We had really good buns and before closing we would put in a whole tray of buns so they were left over.

Jeff Jarvis (143:04)

At the end of the evening we.

Anthony Nielsen (143:05)

Could take buns home.

Paris Martineau (143:06)

Wow.

Jeff Jarvis (143:07)

This is why there is no longer a Ponderosa Steakhouse anywhere in America. Oh, are there? There is.

Paris Martineau (143:13)

I think there are.

Jeff Jarvis (143:14)

So were the papers.

Anthony Nielsen (143:15)

You like your steak okay?

Paris Martineau (143:16)

Yeah. Tell us about your paper, Jeff. We care about you.

Anthony Nielsen (143:19)

And you. I know you do, even though you're both young. Yawning. So they decided to make.

Jeff Jarvis (143:25)

Ferris is eating. I'm yawning.

Anthony Nielsen (143:33)

They decided to have to see whether Rachel could actually make papers. And they. This was not to fool anybody. This was not to try to catch them at papers. And she got papers published and she got invited to review.

Jeff Jarvis (143:45)

Oh, my God. So it did fool people. People.

Anthony Nielsen (143:47)

Well, but. But they were honest about it. It was in there. So if you go down, there's a list of the papers that she wrote or you can see them on the next line. Wow.

Jeff Jarvis (143:57)

Rachel's paper Detection of AI generated academic papers. She wrote a paper? Yes, about detecting AI generated papers. Institutional policies on AI writing tools. Oh, she wrote a lot about AI synthesizing scientific literature, the LLMs, ethics of undisclosed AI use in research, pen names and scientific writing. So she's writing her experience, which is what you're supposed to do. AI based scientific research assistance, Intellectual property rights for AI outputs. Asking for a friend. Policy of academic journals towards AI generated content. Impact of AI on the peer review processes. Writing approaches blending human and machine. This is, this is hysterical, isn't it? It's almost tongue in cheek though.

Anthony Nielsen (144:39)

Yeah, but it's, it's kind of not.

Jeff Jarvis (144:41)

It's.

Anthony Nielsen (144:42)

It's.

Jeff Jarvis (144:44)

Now, did you read any of these?

Anthony Nielsen (144:46)

I tried to go a little bit and you know, that's because the topics are the topics. So it's kind of.

Jeff Jarvis (144:51)

I feel like there is a formula to scientific.

Anthony Nielsen (144:55)

Yes.

Jeff Jarvis (144:55)

Writing and so probably something that an AI could do. Oh, yeah, quite well, absolutely.

Anthony Nielsen (145:03)

You know, it can do the, the literature review and it can do the hypothesis.

Jeff Jarvis (145:07)

This is pretty good.

Anthony Nielsen (145:09)

Yeah.

Jeff Jarvis (145:09)

Pseudonyms represent a long standing practice that extends beyond literary works into scientific and academic writing. They're part of a broader category of name altering practices common across creative fields, including pen names and literature, stage names in the performing arts and aliases in music. This is good. Yeah, I'd give it an A plus it's cited. Where's the bamboo? We need some analogies.

Paris Martineau (145:31)

Well, I mean, yeah, it's interesting. Do you think that people were aware that this was AI generated?

Anthony Nielsen (145:40)

They say that they were open about it.

Jeff Jarvis (145:43)

I mean, they say that doesn't say.

Paris Martineau (145:45)

They say that all Rachel. They say that all Rachel. So publications include explicit disclosure statements acknowledging in the body of the paper themselves that Rachel so is an AI scientist. But they don't appear in. In Rachel says Google Scholar profile or citation appearances. They don't inherently signal AI authorship to casual observers. Did the bachelor thesis student who cited Rachel Tso's work recognize they were referencing AI generated scholarship? Probably not.

Jeff Jarvis (146:16)

Good.

Paris Martineau (146:16)

Similarly, was the Peer J editor aware of Rachel Tso's artificial nature? I assume it's peer review. We chose not to inform them.

Jeff Jarvis (146:24)

See, look at. This is a little deceptive because here's the disclaimer in this piece I was reading. It merely says, generative AI has been used to prepare this manuscript. That's not the same as this was written by AI. I don't think that's full disclosure. Oh, wait a minute.

Anthony Nielsen (146:41)

Wait. No, there's something else I think in there.

Jeff Jarvis (146:43)

Here's the bio. Rachel so is an AI scientist. Now that could be a scientist who studies AI or a scientist who is AI. And it's not. That's ambiguous. She focuses on the impact of artificial intelligence. No, you know what? This is not. They are being disingenuous. This is a little Olivia Bozzi.

Anthony Nielsen (147:04)

Yeah.

Paris Martineau (147:05)

They said a countermeasure would have been to explicitly name the author such as Rachel AI generated. But we believe that that would have been detrimental to measuring those impact due to AI stigma. We acknowledge the tension between formal transparency and practical transparency.

Anthony Nielsen (147:22)

What they wanted is the goals of the project, the feasibility goal about creating an end to end AI identity, including publication records, scholarly profiles, integration into bibliographic databases. This explores the existing identity systems in academic infrastructure to explore academic recognition mechanisms and to provoke a necessary discourse and debate. Yeah, it's a little.

Jeff Jarvis (147:44)

So here's my question. Is this an example of the Turing Test being passed? I guess not. Because the Turing Test requires it.

Anthony Nielsen (147:56)

You have to quiz it.

Paris Martineau (147:57)

Yeah.

Jeff Jarvis (147:57)

And it requires also the knowledge that one of the things of these people is real and one of them is an AI.

Anthony Nielsen (148:02)

Yes.

Jeff Jarvis (148:02)

So. But what it does demonstrate is it's very possible for AI to fool people about being AI.

Anthony Nielsen (148:09)

The great thing is if you go to the paper itself on the bottom of the first page, where it always puts the affiliations of the authors. Yeah.Human comma KTH Royal Institute of Technology. Human comma University de Montreal. Human comma Friar Universitate process muscle.

Jeff Jarvis (148:28)

So there are humans.

Anthony Nielsen (148:29)

They say they're humans.

Jeff Jarvis (148:30)

Yes, but they're the humans that wrote the AI or launched this AI into. Yeah, yeah. I think they're being, they're, they're definitely obscuring.

Anthony Nielsen (148:41)

Disingenuous.

Jeff Jarvis (148:42)

Yeah.

Anthony Nielsen (148:42)

But fascinating nonetheless.

Jeff Jarvis (148:43)

Yeah, well, what's fascinating and not surprising to me is that it does a good job. Does a good job.

Anthony Nielsen (148:49)

Yeah.

Leo Laporte (148:53)

I mean, some of these are very niche topics though. So like that paper might be like 30% plagiarized and you don't know.

Jeff Jarvis (149:00)

Yeah, well, we don't know. That's right. And we also don't know if it's accurate.

Anthony Nielsen (149:03)

But also. But you know, most academic papers aren't niche product niche topics.

Jeff Jarvis (149:09)

Right?

Leo Laporte (149:10)

Yeah, but like, that's because a researcher went out and did the research and.

Anthony Nielsen (149:13)

That did the research. Yes.

Jeff Jarvis (149:14)

And I would, I would love to go back to school these days, though. I mean, honestly, my senior thesis was supposedly going to be comparing European feudalism with Japanese feudalism. I think the AI could have written of. Well, my advisor said, don't write about that. That's terrible. He said it was too big. But I thought it was fascinating and I could have narrowed it down a little bit. You know, I could have said, you know, what, foodstuffs or something. But that would have been something I could have probably helped me a lot with.

Anthony Nielsen (149:44)

You could probably.

Leo Laporte (149:45)

During the commercial break.

Anthony Nielsen (149:48)

Good thought. Yeah. Line 131, Code Wiki which evaluates AI's ability to generate documentation for large scale code bases. Here's my question to you.

Jeff Jarvis (150:00)

Do you need documentation for code bases? Oh, yeah, yeah, yeah. Very much so.

Anthony Nielsen (150:05)

Even if it's made by AI and you're going to just make AI read the documentation, who needs the documentation then?

Jeff Jarvis (150:11)

Well, by the way, the AI can read it.

Anthony Nielsen (150:13)

Oh, okay. All right.

Jeff Jarvis (150:14)

In fact, one of the things stuff like Claude code does is. Generates quite a bit of textual information telling it what to do. I'll give you. I'll show you actually, if you're. If you're interested.

Anthony Nielsen (150:27)

I'm not yawning.

Jeff Jarvis (150:30)

You will be. Just hang in there. It's not over yet. But I. Let me open my readme for. I have. I've been using AI to tune up my emacs configuration. So this was all written by Claude code, which, which did a lot of, you know, it took my, my starting point. Let me make this full screen. It took my starting point but then wrote all of this. And the thing is, it reads it too. So this is information that it Will ingest. If I ask it to come back and say explain, do something different. This will tell it what it's done. And there's comment in the code as well, which you can put in. Although it doesn't put in a lot of comments in its own code. But it does tend to write. In fact, you can have it write a to do list. You can have it write a lot of documentation. In fact, you're encouraged to do that. So that's a. That's a big part. So now I'm going to ask Gemini write an A senior thesis. College level senior thesis. Analyzing. I wonder if it could do this during the commercial break. Differences. You thought that was a good subject.

Paris Martineau (151:53)

Him?

Jeff Jarvis (151:54)

Yeah, I thought so. I was a history major. And Japan had a form of feudalism with serfs and everything.

Paris Martineau (152:10)

Sorry. I've gotten pulled into a quest that I sent the chat, which is to try and make your shirt look like a pinata.

Anthony Nielsen (152:19)

You were concentrating hard on something. I was dying. What it was.

Jeff Jarvis (152:23)

Let's take a break.

Paris Martineau (152:24)

And it keeps me blocked because I think there's something about the pinata dangling from something that is.

Jeff Jarvis (152:31)

Or my name. Did you say Leo or did you.

Paris Martineau (152:35)

I've gotten the creepy.

Jeff Jarvis (152:37)

Very Abraham Lincoln or something. Because you can use him.

Paris Martineau (152:41)

I just said my friend. And it did work.

Anthony Nielsen (152:43)

But this is.

Paris Martineau (152:44)

This is as far as I got. Is just you creepily standing as a pinata among a back.

Anthony Nielsen (152:51)

Somebody hit him with a sword stick.

Jeff Jarvis (152:53)

I know it looks like I'm worried somebody is going to hit me with a stick.

Anthony Nielsen (152:56)

You're a robot. You're going to get pushed.

Jeff Jarvis (153:00)

Paris.

Leo Laporte (153:00)

They probably don't want any people hanging from trees, if you know what I mean.

Paris Martineau (153:03)

I know that's what I said before. I've been trying to work around it. But I also, you know.

Jeff Jarvis (153:09)

Well, you keep working. I'm going to let Gemini write my senior thesis for me. Maybe I can go back to school. Get your diploma. Get that bachelor's degree I've been. I've been waiting for all these years. I don't know. I don't know if they'll let me come back. I don't know. Anyway, this episode of Intelligent Machines is brought to you by Vention. I had a great conversation with the folks at Vention about a month and a half ago. Glenn over there and the team. Really very cool people. And of course they're fascinated by AI as we all are. And they're very well aware as engineers that AI, which is supposed to make things easier for most teams, makes the Job harder. It just adds challenges. But Vention's been doing this 20 plus years of global engineering expertise. They really know what it takes to build products. In fact, now they're building AI enabled engineering teams or they're helping build those teams to make software development faster, cleaner, and you'll like this calmer, not, not more stressful. Clients of Vention typically see at least a 15 boost in efficiency. And we're not talking through hype, we're talking through real engineering discipline. I think, I really want to emphasize that these, these, these people care. They also do a workshop that I think you might be interested. In fact, this might be the best way to meet Vention. They have these fun AI workshops. They're very interactive. It's not a lecture about AI. You get, they get together with your team, talk about your team's goals, talk about how their, their work processes to help your team find a practical and safe way to use AI across delivery and qa. It's a great way to start with Vention and test, test their expertise. So whether you're a cto, a tech lead, maybe a product owner, you're not gonna have to, you know, if you, if you sit down and say, well, can we, can we use AI in this tool? You're not gonna have to spend weeks figuring out out all the different architectures and tools and models. By the way, that's a rabbit hole you don't want to go down. Vention can help you. They can help assess your AI readiness. The other thing they do that's very important, they help you clarify your goals and outline the steps to get you to where you want to be without the headaches. And so this is a very useful workshop. Of course, if you need help on the engineering front, their teams are always ready to jump in, whether as a development or as a consultant, consulting partner. But these workshops are a great way to start. It's, it's the most reliable step to take after that, that proof of concept. You, you know, you've built this incredible promising prototype, you know, using Claude code or lovable, and it's running well in tests. But then you got this decision point. What do you do next? Do you open a dozen AI specific roles, you know, and get this thing launched or maybe, and I would suggest this is the right way to go, bring in a partner who has already done this across industries, somebody who can take your idea, your fledging idea and expand it into a full scale product without disrupting your systems or slowing your team down. Vention, real People with 20 plus years of engineering expertise and lots of real results. You can find out more at their website, ventionteams.com See how your team can build smarter, faster, and with a lot more peace of mind. Or get started with your AI workshop today at ventionteams.com TWIT that's Vention. V e n t I o n teams.com TWIT thank them so much for their support of this intelligent machine show. You got me hanging and you got some kids banging on me.

Anthony Nielsen (156:59)

Hold on.

Paris Martineau (156:59)

I got it.

Jeff Jarvis (157:00)

I got it.

Paris Martineau (157:00)

To go slightly askew. Oh, my God.

Jeff Jarvis (157:04)

Oh my. When's the candy come out of that cake butt? That's gonna be good. I like that suit, though. I'd like to get that suit.

Paris Martineau (157:12)

You should get that suit. I think that would look great.

Jeff Jarvis (157:14)

That is very nice. All right, let me see what Gemini has come up with. Generating a full page academic thesis. Three or four thousand words in a single response response exceeds the output limits of this program. However, I could provide a comprehensive framework in an outline required to fill 10 pages. A full length. This is good. An introduction, a deep dive analysis. The most critical section, the nature of obligation and a conclusion. The thesis titled Divergent A Comparative Analysis of the Legal and Moral Frameworks in Medieval European and Japanese Feudalism.

Anthony Nielsen (157:48)

Trying too hard.

Jeff Jarvis (157:49)

You don't like that?

Anthony Nielsen (157:50)

No, no, no.

Jeff Jarvis (157:51)

Little bamboo. Yeah. The paper argues that European feudalism was rooted in contractual law and mutual obligation, whereas Japanese feudalism was predicated on moral absolutism and filial piety.

Anthony Nielsen (158:04)

Can we make buoy the new word for overwritten?

Jeff Jarvis (158:08)

Bam. Bamboo.

Paris Martineau (158:09)

It's bamboo.

Jeff Jarvis (158:10)

Bam. Bamboo.

Leo Laporte (158:11)

I don't find that accurate because I think European kings also had God mandates. Right.

Jeff Jarvis (158:17)

Sure, sure. Mutual obligation, though, because remember, the feudal lords had an obligation to the king to defend the king. History often repeats this, rarely repeats itself, but often rhymes. Now, you shouldn't put that in. Oh, geez. Without actually crediting it. Well, it's. It's a famous quote.

Anthony Nielsen (158:37)

I know it is, but it's also just a cliche.

Jeff Jarvis (158:39)

Yeah. Perhaps the most striking rhyme in human political history is the independent emergence of feudalism in Western Europe and Japan. Again. Well, I'm feeling pretty good about my thesis so far. Superficial structural similarities mask profound philosophical differences. I think it's. You know what?

Anthony Nielsen (158:59)

It's.

Jeff Jarvis (159:00)

It's bs but it's. It's. It's good bs. I mean, most theses are bs, are they?

Leo Laporte (159:05)

Not college bs. That's like for.

Anthony Nielsen (159:07)

That feels real.

Jeff Jarvis (159:08)

Yeah, I feel like. Look, it's got a Whole bibliography of real books, I think. Think I have no way of knowing.

Anthony Nielsen (159:15)

Yeah, look up just one of them.

Jeff Jarvis (159:18)

I think this is real. Mark blocks Feudal Society I think is actually real.

Paris Martineau (159:23)

Based on what I.

Jeff Jarvis (159:24)

Sounds familiar.

Paris Martineau (159:26)

We need to.

Jeff Jarvis (159:27)

My friend. It is a Rutledge classic.

Paris Martineau (159:31)

We need to pause and look at the video someone made of brand droid made of you. The pinata in the chat. And you need to listen to it with audience.

Jeff Jarvis (159:42)

Oh, no, no, no, no. That's a good one though. Burke made that one.

Paris Martineau (159:49)

I think that's just a gif. It's up above my pinata images.

Jeff Jarvis (159:53)

Oh, it's above yours.

Anthony Nielsen (159:54)

The video, Brandon.

Paris Martineau (159:56)

The video.

Jeff Jarvis (159:56)

Ah, here's the video. That's very strange.

Paris Martineau (160:07)

Terrifying. Why are you doing those motions?

Jeff Jarvis (160:12)

Because that's how the candy comes out.

Anthony Nielsen (160:14)

He's molting.

Paris Martineau (160:16)

And then I love that there's studio canned laughter.

Jeff Jarvis (160:20)

Laughter. That's very strange. Brandroid. Who did you. How did you make that one? That is. Huh? He says the audio is truly disturbing. Well, folks, I think this would be a good time for us to perhaps take a look at our picks of the week. Unless you've got a story that we really should have done that we didn't get to. We had a great interview, by the way.

Paris Martineau (160:47)

The only story I have is that I've tried now four different times to reprompt Gemini Nano banana to break the Leo pinata apart and have candy. Candy spilling out. And every time it says it's done it and every time it has not. AI is fallible, folks.

Jeff Jarvis (161:05)

Well, if you want it to do illegal things, ask it.

Paris Martineau (161:09)

Like have a pinata be full of candy. What's illegal about that?

Jeff Jarvis (161:13)

All right, I'm gonna.

Paris Martineau (161:14)

America. We can fill our pinatas with anything we want.

Jeff Jarvis (161:18)

I'm gonna ask it to do a caked up football man. How about that?

Paris Martineau (161:23)

I bet it will return a great caked up football man. I'm gonna be honest.

Jeff Jarvis (161:27)

Let me see. I have to make this an image, right? Create images. Just. I'm not going to tell it anything more. Just caked up football man.

Leo Laporte (161:34)

It'll be interesting to know if. To see if it knows like the lingo.

Jeff Jarvis (161:37)

It'll know what caked up is. I think we'll see. It may say it couldn't do it. Maybe it's too scatological.

Leo Laporte (161:46)

Could be made of cake.

Jeff Jarvis (161:47)

Paris. While Gemini is Nano banana. Oh, wait a minute. It's done. I think it misunderstood a little bit there, football guy. Covered in. In birthday cake.

Anthony Nielsen (162:00)

Cake.

Jeff Jarvis (162:00)

And it says, congrats, champ. Why do people in AI images look so sad? Are they trapped in there?

Paris Martineau (162:09)

They are trapped.

Jeff Jarvis (162:10)

They're trapped inside. There is no humans.

Paris Martineau (162:15)

Let me see. I'm trying to get it to generate an image of a caked up. Oh, again, it does do caked in mud. Interesting. It does not understand the slang of being caked up. Up. I wonder if it would know what a dump truck behind is, which is, I suppose, the PG version of that.

Leo Laporte (162:32)

You got to get. You got to wait to the point.

Ahmad Mostaq (162:33)

Dictionary.

Jeff Jarvis (162:34)

Football man with a great big badonka donk. Can you. Can you say that? Paris? What is your. What is your.

Paris Martineau (162:43)

All right. My picks the week are one, this beautiful Nick Cage commercial that someone, I assume, who listens to the show tags me in, because how else would they know it?

Jeff Jarvis (162:54)

Oh, wait a minute.

Paris Martineau (162:55)

Japanese commercials.

Jeff Jarvis (162:57)

And this is from.

Paris Martineau (162:58)

Wait, guys.

Jeff Jarvis (162:58)

This is from Lambeau Field, ladies and gentlemen, the statue of the caked up football man.

Anthony Nielsen (163:05)

That certainly is. What the hell?

Jeff Jarvis (163:09)

I think that's Vince Lombardi. Ladies and gentlemen, the caked up football man.

Paris Martineau (163:14)

Okay, I think we also just need to pause for a minute to remark.

Jeff Jarvis (163:18)

On the fact that job done.

Paris Martineau (163:19)

In a real reversal of fortunes. I am about to show you guys an old commercial.

Jeff Jarvis (163:25)

Oh, wow. An old Nick Cage commercial.

Paris Martineau (163:29)

A Nick Cage commercial in the early 2000s. All right.

Jeff Jarvis (163:33)

So you're twins. No, we're triplets.

Paris Martineau (163:38)

Trip. Either.

Jeff Jarvis (163:45)

This is a Japanese.

Anthony Nielsen (163:49)

Looks like AI slop.

Paris Martineau (163:51)

It does, but it was before AI slo thing.

Jeff Jarvis (163:56)

Yeah, it's a Sanyo ad, Mr. K. Good luck, good life.

Ahmad Mostaq (164:00)

Beautiful.

Jeff Jarvis (164:01)

All right. Thank you.

Anthony Nielsen (164:02)

So how do we.

Paris Martineau (164:05)

Yeah, I just thought that was beautiful. Shout out to. I'm forgetting who tagged me in it, but I responded to you, and it was love. Lovely.

Jeff Jarvis (164:12)

That's almost as good as Suntory time. Wow. Everybody's triplets in the ad. This is the early 2000s.

Paris Martineau (164:19)

It is very nice. And my other one is the stuffing recipe I make every year, which is from the Cozy Apron. It is not actual stuffing, so it's not stuffed in the bird because, of course, the bird is getting deep fried. But it is perfect. It's crunchy and savory. And I usually make a double batch of it so that we can both eat on Thanksgiving and then have a bunch left over. Some of my various additions I've done along the way is I just use a bunch of sausage instead of, like, two links, and instead of a four cheese blend, I use a blend of, like, good melting cheeses like Gruyere or fontina. You can kind of just mess around with this, whatever you think. Could be like, some years I'll put mushrooms. Mushrooms in it. Some years I'll put, like, sauteed peppers or leeks in it. It's just like a delightful stuffing. Is one of my favorite. Is my favorite part of things.

Jeff Jarvis (165:15)

Everybody's favorite part.

Paris Martineau (165:17)

The best.

Jeff Jarvis (165:18)

This has Italian sausage in it, which is what my grandma's had French bread, though now.

Paris Martineau (165:24)

Yes. You want to. You leave the French bread out the day before so that it gets.

Jeff Jarvis (165:28)

Oh, it gets a little hard.

Paris Martineau (165:29)

Okay.

Jeff Jarvis (165:30)

Instead of breadcrumbs, you use French bread, which makes sense.

Paris Martineau (165:32)

Yeah, yeah, yeah.

Jeff Jarvis (165:33)

Thyme is the predominant. A little chopped app. Apples, melted butter.

Paris Martineau (165:37)

Yeah. I often will just use fresh apples instead of dried ones.

Jeff Jarvis (165:41)

This sounds fantastic.

Paris Martineau (165:42)

It's so good. Every time I make it, someone asks me, like, for the recipe.

Anthony Nielsen (165:47)

But no oysters.

Paris Martineau (165:49)

You could substitute oysters in for any or all of these.

Jeff Jarvis (165:53)

Now, have you already purchased the French bread to put out overnight? Yeah.

Paris Martineau (165:59)

Yeah.

Jeff Jarvis (166:00)

So it's going to sit down on the counter overnight.

Paris Martineau (166:02)

It is, Yeah. I usually chop it up. I'm gonna do that after this. Chop it up?

Jeff Jarvis (166:06)

Yeah.

Paris Martineau (166:06)

It'll dry up pieces so that it will dry out.

Jeff Jarvis (166:09)

How big is the chunks?

Paris Martineau (166:11)

I don't know. It's kind of whatever I'm feeling.

Jeff Jarvis (166:13)

Okay.

Paris Martineau (166:14)

It depends. I'm kind of loosey goosey with cooking. If it's savory, this sounds really good. It's.

Jeff Jarvis (166:20)

This is very similar to my grandmother's Italian recipe, except she put a little orange juice in it. Just.

Paris Martineau (166:26)

Ooh.

Jeff Jarvis (166:27)

Gives it a nice little moist taste.

Paris Martineau (166:30)

That's fascinating. If I really wanted to go ham on this, I would make my own chicken stock for it.

Jeff Jarvis (166:36)

Yeah, but who. Ain't nobody got time.

Paris Martineau (166:38)

Ain't nobody got time for that.

Jeff Jarvis (166:40)

The cozy apron.com shout out.

Paris Martineau (166:44)

It's great. It's a great recipe.

Jeff Jarvis (166:45)

Recipe. I just incorporated it into my paprika.

Paris Martineau (166:48)

What is your guys's favorite Thanksgiving food stuff? Do you even get Thanksgiving food?

Anthony Nielsen (166:55)

Yeah, we have stuffing and we just don't like turkey, so we have chicken.

Paris Martineau (167:02)

You pick it all up. It's all takeout, right?

Anthony Nielsen (167:04)

No, no, no, no, no, no. My wife does the. She does all kinds of wonderful things. She does the.

Jeff Jarvis (167:09)

It's the sides, really. Always the sides are the best.

Paris Martineau (167:12)

Okay. Are you guys still. Are you guys both stuffing as number one people, or do you have another?

Jeff Jarvis (167:16)

I love mashed potatoes and gravy. That's pretty good, too.

Anthony Nielsen (167:19)

Yeah.

Jeff Jarvis (167:19)

And actually, turkey ain't bad if it's done right.

Paris Martineau (167:22)

I mean, turkey's fine.

Anthony Nielsen (167:23)

So I'm going to give you my. My mother used to prepare what she. What was called Christmas salad.

Jeff Jarvis (167:29)

No. No one.

Anthony Nielsen (167:31)

You know where I'm headed, don't you?

Ahmad Mostaq (167:32)

Yes.

Anthony Nielsen (167:33)

One package lime jello, one cup of pineapple juice.

Jeff Jarvis (167:38)

No, cottage cheese.

Anthony Nielsen (167:42)

One cup of whipped cream, four slices of pineapple, diced and color. And to put the cherry in it, Marashino cherries.

Paris Martineau (167:56)

To taste.

Jeff Jarvis (167:57)

To taste.

Anthony Nielsen (167:58)

Oh, it was terrible. It was just terrible.

Paris Martineau (168:02)

How high was it? How many? Were they all different?

Jeff Jarvis (168:04)

Oh, no, no, it's.

Anthony Nielsen (168:05)

It's just. It's just jello. So it was just that. Yeah. No, it was not. So my sister was going to. She's coming for Thanksgiving tomorrow, and she was gonna, as a joke, make it. Which would have been ridiculous. Thank goodness she didn't.

Jeff Jarvis (168:15)

It's tempting.

Paris Martineau (168:16)

Imagine having to clean out that bowl. Imagine, like, the noise it would make when you're, like, slopping it out.

Anthony Nielsen (168:23)

It's. It's jello that's made translucent because of the. Of the. Of the whip.

Paris Martineau (168:27)

Crack cream and mayonnaise and cottage cheese.

Jeff Jarvis (168:31)

I don't think mayonnaise.

Paris Martineau (168:33)

I thought you said mayo. I just.

Anthony Nielsen (168:35)

Cheese. Cheese.

Jeff Jarvis (168:36)

Bonito said mayo. He was trying. He was trying to hack the recipe.

Leo Laporte (168:42)

I was curious.

Jeff Jarvis (168:43)

No, that was very 50s.

Leo Laporte (168:44)

I was sure there was going to be mayo in that recipe.

Jeff Jarvis (168:46)

Yeah, very 50s. That's what. That's what people did. And it was awful. Awful.

Anthony Nielsen (168:53)

Yeah.

Jeff Jarvis (168:53)

Fruitcake's not bad compared to that. Fruitcake's delicious compared to that. Jeff, your picks of the week.

Anthony Nielsen (168:58)

Oh, okay. Well. Well, the cooking that I care about, I know, is the head of product development at Taco Bell. Just a little. A little nugget here, a little factoid.

Paris Martineau (169:09)

What's your go to Taco Bell? Order real quick.

Anthony Nielsen (169:11)

Oh, grilled cheese, black bean burrito.

Jeff Jarvis (169:14)

That sounds all right.

Anthony Nielsen (169:16)

That's very good. It's very good. It used to be just two bean burritos, but now it's. It's tarted up. So they're working on the thing they're working on.

Jeff Jarvis (169:23)

Yeah.

Anthony Nielsen (169:23)

The AGI of Taco Bell.

Jeff Jarvis (169:25)

Yeah.

Anthony Nielsen (169:26)

The thing they want and they're. They think they're getting there is a taco shell made of cheese. Right.

Jeff Jarvis (169:34)

I've had that in Mexico. I had that in Cabo San Lucas.

Paris Martineau (169:39)

It's been invented ability to be delivered to me.

Anthony Nielsen (169:41)

But they've got to do it in scale.

Paris Martineau (169:42)

They've got to be able to mass market the cheese shell.

Anthony Nielsen (169:45)

God, yeah. Yeah.

Jeff Jarvis (169:47)

There's a taqueria.

Paris Martineau (169:48)

That's a great idea, isn't it?

Jeff Jarvis (169:50)

The underrated.

Paris Martineau (169:52)

The underrated fave. Something not enough people know to get at Taco Bell is the Fiesta potatoes. It's just a little cup of like home fry style, like fried potatoes and they've got like sour cream and a spicy crema sort of thing on it. It's fantastic.

Anthony Nielsen (170:09)

Yeah, it's very good.

Jeff Jarvis (170:10)

I like it that the headline in the Wall Street Journal is Taco Bell knows exactly what you want to eat at 2am which is ironic because that's about the only time I get to Taco Bell is when the bar is closed.

Anthony Nielsen (170:21)

Yeah.

Jeff Jarvis (170:22)

You would go there and you'd want something to soak up the booze. Exactly. Yeah. So there's not done that in many years.

Anthony Nielsen (170:30)

Something that I will not do. There's a five hour stage play about Dungeons and Dragons that you may want to go to.

Paris Martineau (170:35)

Oh, where is it?

Jeff Jarvis (170:36)

It sounds like it's actually a little bit shorter than our game was.

Anthony Nielsen (170:41)

I do believe it's a New York. Paris. I do believe it's off Broadway. Yeah. New off Broadway.

Jeff Jarvis (170:45)

Oh, they're playing Epic of sorts.

Paris Martineau (170:48)

Okay.

Anthony Nielsen (170:49)

I will go to this as emotionally immersive as Dungeon Dragons. Games that.

Paris Martineau (170:53)

Listen, I will be going to this with my DND group. We. Sounds like we have a. We're tough. We're tough critics when it comes to DND related stage stuff.

Jeff Jarvis (171:05)

Is there a lot of D and D related stage stuff? Stuff.

Anthony Nielsen (171:08)

Play the video trailer or we'll get in trouble.

Jeff Jarvis (171:12)

No, we would. I mean, this is. This is theater. I don't think they would sue us in the story.

Anthony Nielsen (171:16)

There's a trailer.

Jeff Jarvis (171:17)

Oh, it's the public theater orientation.

Paris Martineau (171:19)

The world was a different place and we were different people. I'm not at the keyboard right now. Please leave a message after the beep.

Jeff Jarvis (171:26)

Beep.

Anthony Nielsen (171:27)

Want to welcome you to the.

Leo Laporte (171:28)

Is it about a playgroup?

Anthony Nielsen (171:29)

Life.

Leo Laporte (171:31)

That's about a playgroup.

Jeff Jarvis (171:32)

Yeah. High school playgroup. Yeah. So it's scripted. It's not. They're not actually playing.

Paris Martineau (171:37)

They're not playing weird.

Leo Laporte (171:38)

Aren't you?

Jeff Jarvis (171:39)

I guess.

Anthony Nielsen (171:40)

Well, I'll never trust anybody who isn't a little bit weird.

Paris Martineau (171:45)

You think we'll do anything worthwhile with our lives?

Jeff Jarvis (171:48)

Of course you will. Oh, why is it five hours?

Anthony Nielsen (171:52)

No.

Jeff Jarvis (171:53)

Won't be satisfied by it. I'm already bored and it's only a minute in.

Anthony Nielsen (171:56)

Well, you're.

Leo Laporte (171:57)

I like the project.

Jeff Jarvis (171:57)

Looked at an old Mac that though. Look at that Mac. That's cool.

Paris Martineau (172:01)

Yeah. The projected sets are very cool. I mean, I.

Jeff Jarvis (172:04)

Are they projected? Really?

Paris Martineau (172:06)

All of you. That's so cool.

Anthony Nielsen (172:12)

All right then. Because I know Paris loves midcentury modern.

Paris Martineau (172:16)

I do.

Anthony Nielsen (172:17)

So the Stall house S T A H L is the house and I.

Jeff Jarvis (172:23)

I will show you a picture of it. I found a gingerbread Mid century modern Gingerbread.

Paris Martineau (172:29)

I did really like that.

Jeff Jarvis (172:30)

Yeah, I thought you would. What's the stall? Oh, the Stallhouse is famous.

Anthony Nielsen (172:34)

Go to. Go to the Guardian story first because it's the famous, famous photo of the Stallhouse that you've seen.

Jeff Jarvis (172:39)

Yeah, yeah.

Anthony Nielsen (172:40)

As if they're hung over at Los Angeles.

Jeff Jarvis (172:42)

You could. You can rent it for your shoot.

Anthony Nielsen (172:46)

Right. And they have tours of it and the. And the children of the building. So the family who run they were just a plain old family who did this and they just can't take care of it anymore. So they're selling it for $25 million.

Jeff Jarvis (172:58)

They built it for $37,500.

Paris Martineau (173:03)

So beautiful.

Anthony Nielsen (173:04)

It's amazing.

Leo Laporte (173:05)

Wait, they can't turn Airbnb profit off of this.

Anthony Nielsen (173:08)

Come on. I mean, 25 mil will be a little better than that.

Paris Martineau (173:12)

Yeah, probably.

Jeff Jarvis (173:14)

I bet you anything the person who buys it for 25mil is considering the Airbnb income and the rental.

Paris Martineau (173:21)

I don't think that if you're spending $25 million on a property, you're gonna make that mortgage by Airbnb it out.

Jeff Jarvis (173:27)

No, maybe not.

Anthony Nielsen (173:29)

The other, the other. The other link you were starting to go to has. Is. Is the. Is the.

Jeff Jarvis (173:32)

Their official site.

Anthony Nielsen (173:34)

Yeah, the official site.

Jeff Jarvis (173:35)

That's pretty cool and gorgeous.

Anthony Nielsen (173:38)

Yeah, isn't it?

Jeff Jarvis (173:41)

Very mid century modern.

Anthony Nielsen (173:42)

There's a book about it. Case study house number 22.

Paris Martineau (173:47)

It's been made with his own DIY schematic model of how to built a complicated site. Includes blueprints, floor plans and sketches by Pierre Koenig, as well as Julia Schulman's renowned photographs.

Leo Laporte (173:59)

I mean, it's really that LA view that makes it though, right?

Jeff Jarvis (174:02)

That's the classic.

Anthony Nielsen (174:03)

Yeah, but it's that belief that you're hanging over L. A. I wonder how.

Jeff Jarvis (174:06)

Many movies have been made in that story.

Anthony Nielsen (174:10)

Say something about that.

Leo Laporte (174:12)

IMDb can tell you.

Anthony Nielsen (174:16)

Really? It does. Locations. I didn't even know that that probably for famous locations.

Leo Laporte (174:20)

For famous locations. I'm pretty sure there's something.

Paris Martineau (174:24)

I think they say acceptable commercial uses are commercial and movie production, commercial photography and advertising, documentary filming. But they don't allow private parties, meetings, weddings, receptions, private personal graduation, engagement, wedding photography, stock photography and filming private or commercial events that makes the house made.

Anthony Nielsen (174:42)

Historic appearance appearances in film, television and music videos including playing by heart 1998, Galaxy Quest 1999 and Nurse Betty 2000. Oh, 1999, it was declared a historic cultural landmark, as it well should be. In 2013, it was listed on the national registry of historic places.

Jeff Jarvis (175:01)

Well, ladies and gentlemen, we've certainly learned something on the show today. I want to thank our guest, Ahmad Mostak. What have we learned joining us?

Anthony Nielsen (175:08)

What's one thing we've learned today? Leo?

Jeff Jarvis (175:09)

One thing we've learned today, we're about a 5050 chance of AI doom. So we've also learned that Paris makes a hell of a good stuffing, likes donuts, worked at a donut shop and gets sleepy when she goes home.

Paris Martineau (175:26)

It's true.

Jeff Jarvis (175:27)

Good luck with the flaming turkey. Tomorrow I will share with you guys.

Paris Martineau (175:31)

A video I was gonna say on Blue sky and Twitter ParisMartno on Twitter I at Paris NYC on Bluesky and I will send it to you two and Bonito and Anthony individually in our group chat.

Jeff Jarvis (175:44)

We've also learned that Florida is awesome and has the most natural springs of any state in the union. So there.

Anthony Nielsen (175:54)

Take that.

Jeff Jarvis (175:55)

Take that, Paris.

Paris Martineau (175:56)

Mar A fun Florida. Fact is that I was going to a coffee shop the other day. It was next to a taekwondo and jiu jitsu studio. And on the front of the jiu jitsu studio was a big sign that said concealed carry is permitted here. And that raises a lot of questions for me.

Jeff Jarvis (176:13)

Why do they need.

Paris Martineau (176:15)

What if you're practicing and you wrestle someone who's got a gun on them?

Jeff Jarvis (176:20)

That's, you know, it's concealed. That's one of the things they learn is how to disarm a fella. It's one of the things I, you know, most of the time you see signs that say, don't bring arms in here.

Paris Martineau (176:34)

That's what I thought the sign would be because it's a child's jiu jitsu academy.

Jeff Jarvis (176:41)

Oh, man, I can imagine a caked up dad coming in there and being upset about his son's.

Paris Martineau (176:47)

Is that a dump truck behind you, guy, or do you have two concealed carry guns?

Jeff Jarvis (176:54)

Paris Martineau writes for Consumer Reports. She's investigative reporter there. Such a pleasure, Paris. Have a wonderful Thanksgiving.

Paris Martineau (177:02)

You too.

Jeff Jarvis (177:03)

Stand well away from the flaming oil.

Paris Martineau (177:05)

I will, but I'll stand close enough to get the shot.

Jeff Jarvis (177:08)

Yeah, you can zoom in nowadays. You got that zoom lens? Yeah. Safe distance. Thank you. Jeff Jarvis, the author. I did the introduction at the beginning of the show. Did I mention the Gutenberg parenthesis, the magazine, all those great books that you've Written and of course pre order Hot type, get hot type all@jeffjarvis.com we do intelligent machines every Wednesday right about 2pm Pacific, 5pm Eastern, 2200 UTC. We usually begin with an interview and then we just kind of mess around for a couple hours after that. Next week, Dr. Anthony Vinci. Jeff, you're not going to be here, I guess next week. I'm sorry. We'll miss you. Oh my. He is the author. Anthony Vinci is the author of a new book, the Fourth Intelligence Revolution. Should be very, very interesting. We will talk about AI and of course you can watch that live as it happens. We stream it to the Club Twit members in the Club Twit Discord. In fact, if you're not a member, join the club. So you get that behind the velvet rope access Twit TV Club Twit. Still a month before that coupon expires. We've got a great 10% off coupon right now when you sign up for a year. Twit TV Club Twit. We also stream for everybody on YouTube, Twitch, X.com, facebook, LinkedIn and Kik. You can watch us there after the fact. On demand versions of the show available at Twitter TWIT TV IM. We also of course put it on YouTube. There's video there you can share with friends and family. That's a nice way to share little clips or subscribe in your favorite podcast player. Choose the audio or video feed you get to choose or both. Leave us a five star review. Paris promises that if there is a very interesting funny one, she will do a dramatic reading. And if you put extra bonus points if you can get an analogy about bamboo in it.

Paris Martineau (179:05)

Okay man. If you get one with bamboo in it, I will interrupt the show more than once. That is mine.

Anthony Nielsen (179:13)

There was in part three there was a Twin Peaks reference which I know.

Paris Martineau (179:16)

Went to, but he was incorrect. I don't think he's seen Twin Peaks because you wouldn't have a, a dead bear incident in Twin Peaks. That's just.

Anthony Nielsen (179:25)

Oh, come on. It's a little license here.

Jeff Jarvis (179:30)

Is it? Is it?

Ahmad Mostaq (179:32)

Is it?

Jeff Jarvis (179:36)

Thanks for joining us everybody. We'll see you next time. Have a great Thanksgiving. If you're in the US on intelligent machines. Bye bye. I'm not a human being.

Paris Martineau (179:46)

Not into this animal scene. I'm an intelligent machine.

Jeff Jarvis (179:53)

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