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- [00:00]
A
You're watching TVPN today's Friday, November 21, 2025. We are live from the TVPN Ultradome, the Temple of technology, the fortress of finance, the capital of capital. We have generated an image of the aura farm, the world, trying to understand a barnyard map. A barnyard sort of an AI market map, but through the lens of a barnyard, because that's really what is going on in AI these days. And we can take you on a tour of our. Our farm based market map to explain what's happening in the state of AI in November of 2025. Tyler, do you want to take us through it?
- [00:41]
B
Sure, yeah. I mean, so we like to use a lot of animal idioms on this show. A lot of these you might recognize. But we've kind of expanded out to try to cover all the major players. And yes, so this was made with nanobananapro. Very extremely good model. But you will notice as you get more and more complex, it gets a little bit sloppy. There's some slop in some places.
- [01:06]
C
Yeah. Before nanobanana Pro was released, we would have needed to hire somebody that maybe illustrates children's books. And if they were an expert, maybe they could have whipped something together in a day. This took you far longer than that, you know, prompting over and over and over.
- [01:22]
B
Yeah. Okay, so I guess let's just kind of go through each of the animals. Maybe let's just start with some of the more obvious ones, the ones we've talked about a lot on the show. So let's start over here with the piggies. So here we see the pigs at the slop trough.
- [01:39]
C
Who's there?
- [01:40]
B
So this is broadly. This is just labeled as meta. You can imagine a lot of people here. Right. You could see Sora here, Bill Peebles. Bill Peebles could be, you know, eating some slop.
- [01:52]
A
Yes. Metal vibes.
- [01:53]
B
Yeah. Just like broadly, AI in general. Some people think basically all AI slop.
- [01:58]
A
They do. They do. There's been a lot of criticism.
- [02:01]
B
Yeah. But I think that one's fairly clear.
- [02:03]
A
You don't want to be at the. You don't want to be the pig of the slop trough. Although sometimes, you know, maybe the profitability of being a slop farmer is underrated. Obviously, America has a lot of pigs that live at the trough. They eat from the trough. They. Eventually the pigs go to slaughter, they become bacon, they are sold into the economy. You can make a good living as a farmer who. Who maintains a trough.
- [02:31]
C
And then there's the Jeremy Geffond take, which Is we hate slop now because we know that in a few years it will no longer be slop. So don't count out, don't count out the piggies yet.
- [02:41]
B
This is the sloppiest slop will ever be.
- [02:42]
C
That's true.
- [02:43]
A
That's true. Okay, who else is on this market?
- [02:46]
B
So then let's move up. Let's see. We have the hen house here. Yes. And who's in the hen house is the fox.
- [02:51]
A
The fox.
- [02:51]
B
Right. And so, so this you can say is kind of Oracle in St. Mauglin. Right? Oracle's then is the hen house.
- [02:57]
A
Yes.
- [02:57]
B
They're letting the fox. They're letting the fox in a little bit potentially. Yeah. We'll see what, what, you know, when. What ends up happening.
- [03:04]
A
But again, now that I'm looking at this image, the fox isn't actually in the hen house yet.
- [03:09]
C
He's kind of circling it.
- [03:10]
A
Yeah, he's circling the hen house. And there's a question of. Of how far into the henhouse has the fox.
- [03:16]
C
And I think it's notable that the chickens don't seem too disturbed yet.
- [03:20]
A
Yes, yes. Yeah, yeah, they're getting along because the fox could just be browsing, could just be stopping by.
- [03:25]
C
Could be friendly, friendly fox. Friendly fox.
- [03:28]
A
But of course, if you have a lot of cash flow as a big company, if you have the ability to borrow billions or hundreds of billions in the debt market, you have to protect your hen house because foxes might come by and might want to. Might want to use you to co sign a loan.
- [03:45]
B
Okay. So then we see the cash cow.
- [03:48]
A
The cash cow.
- [03:48]
B
This is Nvidia.
- [03:49]
C
The only profits in AI for a long time.
- [03:52]
A
I don't know if anyone has really unseated them. They're certainly the most profitable by far.
- [03:58]
B
Now you're starting to see maybe some cracks with TPUs. But even then, I mean, they're still.
- [04:02]
A
It's still a cash cow. We just saw. They just. Yeah, they just beat earnings. I mean, we have an article here from the journal Nvidia. Results fail to quell AI worries. Not enough people are milking the cow.
- [04:13]
C
I gave you the perfect quarter.
- [04:14]
A
Or maybe, maybe the cow.
- [04:15]
C
I gave you the perfect quarter.
- [04:16]
A
I know.
- [04:17]
C
And you still sold off.
- [04:18]
A
Maybe the cash cow has been overly milked and is out of milk at this point.
- [04:23]
B
But I think it's still producing.
- [04:24]
A
I think it does seem like it's still producing. That looks like a healthy cow to me.
- [04:28]
B
So here we have the bull in the china shop.
- [04:30]
A
The bull.
- [04:30]
B
And that's Elon. I Think there's a couple of ways you could read into this. So Elon, one is just kind of on the. Maybe the data center infrastructure side where he's kind of the bull. He's. Imagine that you're a contractor and you're building data centers for these companies, and then you see Elon come in and he does it in eight months. What took you in a year and a half.
- [04:48]
A
Yep.
- [04:48]
B
He's kind of messing up your world, right?
- [04:50]
A
Totally, totally.
- [04:50]
B
He's like, oh, man, this bull, he's. He's messing up my business. I need to be working way harder, way faster.
- [04:54]
A
Because he's also shipping features so fast. Like, yeah, like before people could even have a discussion over adult content, it was like, boom, Annie here. Here it is, Valentine. So this is moving so fast.
- [05:05]
B
This is the other way you could say he's the bull. Because there's kind of this maybe unspoken, unspoken rule between the model companies where it's like, okay, we don't want to go too hard into the. The companion space. There were companies doing that, but they weren't. It wasn't the opening eyes, it wasn't the anthropics, wasn't the Geminis.
- [05:22]
A
Yeah.
- [05:22]
B
And then now you see. Now you see a frontier model actually moving into their.
- [05:26]
A
Also, you know, Grok is of course, the maximally truth seeking LLM. Just yesterday I was asking Grok who is the strongest CEO in tech, and it told me that Elon Musk is the strongest by far. And it actually compared him to a bull. It said he was stronger than a bull and that he could beat a bull in a fight if he went head to head.
- [05:44]
B
I believe it.
- [05:44]
A
With his bare hands.
- [05:45]
B
Absolutely right.
- [05:47]
A
Yes, Absolutely right. What else is going on here?
- [05:51]
C
I bet Claude would agree. If you really pressed Claude on it, they'd say, yeah, you're absolutely right.
- [05:57]
A
You're absolutely right. Who else is going on?
- [05:59]
B
So let's move down here. We have the lipstick on a pig. And I think this, you could say, is pig apple intelligence.
- [06:07]
A
Yes.
- [06:07]
B
Right. I mean, although I feel like this is actually almost flipped a little bit. Right. Because the pig is usually like the ugly thing and then you add the makeup to make it look nicer.
- [06:15]
C
Yeah, Well, I think that's what they did here, Right. They took a bad model and they dressed it up and they said it was great and they said you should buy a new iPhone because of it. And the model was bad. And there's no amount of marketing that is going to change public perception. Once the product hit the market, you.
- [06:32]
A
Could also run the pig is the Privacy Focus iPhone ecosystem that is pretty difficult to just run in and throw AI on top of. Like Apple has been building a brand around. We don't access your data, we don't store your data. We would never train on your data. And. And that put them in an awkward position where they couldn't just snap their fingers and deliver a great AI experience. Whereas Google has been, hey, you know, we'll give you Gmail for free. But we'll also, you know, probably train on wherever you go on the web and try and understand and route ads to you appropriately. Meadow is in a similar position. And so those two companies were a little bit more equipped to just, on day one, go and go and deliver AI features. Apple had to put lipstick on their pig, which is their privacy focus.
- [07:21]
B
It was definitely more of like an afterthought. It was more of a kind of shallow integration. So then we have the dark horse.
- [07:26]
A
The dark horse.
- [07:27]
B
And this is ssi.
- [07:28]
A
Okay.
- [07:29]
B
Of course, we're still yet to see anything really from SSI Elliot just charging.
- [07:33]
C
Around in the background.
- [07:34]
A
Yes.
- [07:35]
B
Yeah. Kind of this elusive figure. So the big kind of departures from OpenAI was Miramorati and Ilia, you could say.
- [07:41]
A
Yes.
- [07:41]
B
And Miriam Roddy's company, Think Machines. I mean, she's raising up rounds. They have blog posts. Yeah, they do actually have a product. They do have a product.
- [07:48]
A
Let's hear it for. Why did you tell me earlier? Why'd you bury the lead? They have blog posts.
- [07:59]
B
They're good blog posts. I like.
- [08:00]
A
So in a couple years, we could be seeing vibreals, Is that what you're saying? We could be seeing videos.
- [08:04]
B
So they do have a product. Right. It's like RL fine tuning.
- [08:07]
C
Watch your head. There's a hoof.
- [08:09]
A
The horse is really.
- [08:10]
B
But I mean, they're not really dark horse. Like you can. They're a bright horse. I don't know if that's a phrase, but, like, you can see what they're doing.
- [08:17]
A
A Clydesdale or a beautiful snail.
- [08:19]
C
They're a unicorn. 50 times over.
- [08:21]
A
50 times over.
- [08:22]
B
Yeah.
- [08:23]
A
We didn't put a unicorn on here. That's an animal.
- [08:25]
B
It would get too sloppy.
- [08:26]
A
Okay, what else do we have? What else is going on in the orophara?
- [08:29]
B
So here we see another horse.
- [08:30]
A
Yes.
- [08:31]
B
And there's two ways you could look into this horse. Right. One is this phrase. Look a gift horse in the mouth.
- [08:36]
A
Yes.
- [08:36]
B
Right. Do you want to explain this, John?
- [08:38]
A
Yes. So do you know this phrase? You don't know this Phrase, looking at gift horse in the mouth. Okay. So looking a gift horse in the mouth is if someone gives you just.
- [08:46]
C
Like a term that was thrown around in the 80s. Yeah, yeah.
- [08:48]
A
This is, this is back in my day. Back in my day. So obviously just giving someone a horse. A horse is a valuable asset today, but also hundreds of years ago. It's always been a valuable tool on the farm. And the way that you assess the quality of a horse, one way to assess whether it's been taken care of, whether it's healthy, is to look in its mouth.
- [09:11]
C
Always look a gift horse in the mouth.
- [09:14]
A
Never look to get. Never look a gift horse.
- [09:16]
C
Oh. Because it would be offensive.
- [09:17]
A
It's offensive.
- [09:17]
B
It's like you're not expressing gratitude.
- [09:19]
A
Yes.
- [09:19]
B
So I think this, these are just.
- [09:21]
A
The public market investors.
- [09:22]
B
Right. We should just have a gift of.
- [09:24]
A
Why are they selling their stocks right now?
- [09:26]
B
Why are they giving.
- [09:27]
A
They need to be buying this beautiful.
- [09:29]
B
Gift and they just don't want it.
- [09:31]
A
Yeah.
- [09:31]
B
They're selling their videos down.
- [09:33]
A
They're digging in a little bit too much. They should just be happy that they've been given exactly the next megatrend.
- [09:38]
B
Exactly. So also the horse could be a workhorse.
- [09:41]
A
A workhorse.
- [09:42]
B
Right. And so I think you could say this is Amazon.
- [09:44]
C
Yeah.
- [09:44]
B
It's a bit hard to define Amazon's AI strategy. Part of it is they're building data centers for anthropic. But they're definitely not getting overly ambitious. They're not like, you know, getting over their skis, but they're just doing the hard work. They're building the data centers. They're serving. Yeah, serving models.
- [10:00]
A
Maybe not fast enough. They might not be building the data centers fast enough. They might not be super aggressive. They're not. They're not. They're not show jumping. They're just. They're just dragging the plow. But they are consistently dragging the plow. All reliable Amazons cooking along. They're staying out of the slop trough. They're not doing a deal. Amazon has not done a deal yet with OpenAI for the agent to commerce thing. Maybe that changes. But for now they're just plodding along.
- [10:27]
B
Who else we got here? Let's go to the Black Sheep.
- [10:31]
A
The Black Sheep.
- [10:32]
B
So, Black Sheep, there's also a lot of people that could fit in this.
- [10:34]
A
Yes, of course.
- [10:35]
B
But I think maybe Karpathy is one of them.
- [10:37]
A
Yeah, Andrej Karpathy.
- [10:38]
B
Some of these contrarian takes about maybe just the decade of agents.
- [10:42]
A
To be clear, we're not calling him A sheep. He's not.
- [10:46]
B
It should be more of a black wolf.
- [10:47]
A
Black wolf. But the idea is that he's standing out A lot of people in his class of ultra respected technologists, some of the most experienced. He's really been at Tesla, he's seen the AI wave, He's been working in it for decades. He's really worked on this.
- [11:05]
C
He's printed.
- [11:06]
A
Yeah. He's done so much.
- [11:07]
C
Not sitting with the rest of them saying he broke, but he broke rank.
- [11:11]
A
Even though he's worked at OpenAI, even though he's worked at Tesla, he broke rank. He went on the Dwarkesh Patel show and said, you know what? I think we're more in a decade of agents, I think AGI might not be right around the corner. He took a contrarian stance at a very controversial time and he popped the bubble with it. He basically popped the bubble with it. Maybe we'll see the bubble.
- [11:31]
C
Of course, the elephant in the room. The elephant in the room is, was, in my view really more of the 1.4 trillion. Right. That was the big question. That was what everybody wanted to talk about, or at least understand better. Frad asked the question and it's been downhill ever since.
- [11:49]
A
Yes. And it is. Yeah. The elephant in the room is in every conversation, every financing round at this point. Exactly. Is this deal predicated on a continuation of exponential growth in investment in everything? Like how much more, how risky is this relative to the amount of froth in the market?
- [12:10]
B
Yeah.
- [12:11]
C
Never ask a woman her age, a man, his salary or a lab founder how they're going to spend 1.4 trillion.
- [12:20]
A
Yeah. Or how they're going to pay for it.
- [12:23]
C
Yeah.
- [12:24]
A
What else we got on here?
- [12:25]
B
So then in the top, right, we have the bird's eye view.
- [12:27]
A
Yes.
- [12:28]
B
So situational awareness. Yeah. This is situational awareness. This is Leopold.
- [12:31]
A
It's the perfect name.
- [12:31]
B
Right.
- [12:32]
A
He has the situational awareness.
- [12:33]
B
He's seeing everything. He's kind of the master of the board.
- [12:36]
A
Yes.
- [12:36]
B
He's taking his bets and he's been doing pretty well off them.
- [12:39]
A
Yes, yes, yes.
- [12:41]
B
Yeah, that one's pretty self explanatory.
- [12:42]
A
Yeah, I agree.
- [12:43]
B
So then we go down. We have lion's share.
- [12:45]
A
The lion's share.
- [12:45]
B
This is Satya. Satya taken great positions in open.
- [12:49]
C
I don't know why. He's on the third of a stack. I'll take a third of the company and you can give me 250 billion and I'll take 20% off the top.
- [12:58]
B
And I'll take all the IP as well, everything. I'll also take your chip and I'll make it my chip.
- [13:05]
C
Your chip is my chip.
- [13:06]
A
The entire contract is not my chip as me chip. The entire OpenAI Microsoft deal is basically could just be summarized in one line. I get the lion's share. I get the lion's share.
- [13:16]
B
What do you have? Monkey business. These are the podcasters.
- [13:19]
A
That's us.
- [13:20]
C
We're having fun.
- [13:21]
A
We got props, we got all sorts of stuff. Sound effects. We need some monkey sound effects on there. We have a bunch of, of animal themed sound effects we need to have more fun with anyway.
- [13:33]
B
And then maybe let's go into the pond. We have the sitting duck.
- [13:36]
A
Yes, the sitting duck is incredibly cute.
- [13:39]
B
So Reddit.
- [13:41]
A
Why was Reddit a sitting duck?
- [13:43]
B
Yeah, so I think they brought it.
- [13:45]
C
Because whether or not you have a permit, you're getting, the hunters are going to get you.
- [13:49]
A
I think Alexis Ohanian sort of laid this out, saying that when Reddit did the deal to give the data to OpenAI, they didn't realize how valuable that data was going to be. And that relationship has grown, grown, grown. And so they were kind of the sitting duck, just sitting there. They didn't really get, kind of got caught off guard. Maybe could have trained their own model on their data internally.
- [14:13]
B
Yeah, I mean, I feel like Reddit has mostly been. They've kind of already gone out to the slaughter in a sense. Like every model company has trained.
- [14:19]
A
You think so? But look at the market cap. It just keeps going up. Reddit was sold for $5 million or something when it launched. Like it's been, it was 10, it.
- [14:28]
C
Was 10, it was ten to Conde Nast.
- [14:29]
A
Ten to Conde Nast. That's a crazy, crazy valuation. And then eventually spun out. And then for a long time it was in the hundreds of millions and no one was thinking this is a tens of billions. For a long time, like people, the narrative was not, oh yeah, this will be orders of magnitude more than Snap. Yeah, no way, no way. And then, and then it just sort.
- [14:47]
B
Of finally came together and we have the headless chicken. This is perplexity.
- [14:51]
A
Perplexity.
- [14:52]
B
So I think perplexity. You know, they have a lot of different strategies. Some of them kind of seem opposed to each other. Right. Maybe they're doing a browser, maybe they're.
- [15:01]
C
Doing a Bloomberg terminal, maybe they're rebuilding Yahoo Finance. I do see more positive reviews of their browser than any of the other AI browsers.
- [15:12]
A
There's just a lot of stuff going on. It's the Snapchat deal, the trying to buy TikTok, trying to buy Chrome, launching a venture fund, Bloomberg Terminal. It's like, are you competing with all of these? Really? You're going to be TikTok and Chrome and Bloomberg and the next thing.
- [15:28]
C
Do you guys ever witnessed a headless chicken?
- [15:32]
A
No, I haven't.
- [15:33]
C
Growing up in the country, I have.
- [15:35]
A
You grew up in the country?
- [15:36]
C
What are you talking about?
- [15:38]
A
I thought you grew up with the East Bay rationalists.
- [15:40]
C
I was born in Berkeley, but I grew up in wine country.
- [15:42]
A
Oh, okay.
- [15:43]
C
And I have fortunately, unfortunately, watched my father take one of the chickens. You know, every now and again a chicken needs to move on to the next chapter.
- [15:54]
A
And as a child, you sound like you're firing the chicken.
- [15:59]
C
It is a real thing. They run for, you know, at least 20 seconds or so. And I'll never forget it.
- [16:09]
B
So next we have the snake in the grass.
- [16:11]
A
Snake in the grass.
- [16:12]
B
This is the Chinese open source models, right? These are kind of lurking. I still don't really see that much coverage of Chinese open source models.
- [16:19]
C
Nobody wants. Nobody wants to talk about it.
- [16:21]
A
Well, no one has bags so they can't pump them. Snake in the grass feels like it's going to attack. Elephant in the room. Means we got to address it. It's like it's totally possible that the entire open source LLM ecosystem is just like. Yeah, there's like a $10 billion business there. It's sort of like, you know, a stalking horse. Another. Another animal based analogy. But it's sort of a stocking horse for like, hey, Gemini and, and anthropic. Like if you guys don't lower your prices, we will go to the open source option. And that's sort of what Linux, how Linux works. It's like you can kind of bid the closed source models against the open source models.
- [16:59]
C
It's a very real threat to the business models of some of the closed source models.
- [17:05]
B
Maybe.
- [17:06]
A
I don't know.
- [17:07]
C
It's certainly a pressure. Kimmy is hot on everyone's tails. The other thing is a soft power thing. Ask a Chinese open source model about Tiananmen Square.
- [17:18]
A
So we agree it's a snake in the grass. But unclear how poisonous the snake is. Unclear the size of that snake.
- [17:24]
B
Early bird that got the worm. This is Josh Kushner.
- [17:26]
A
I think so.
- [17:27]
B
Right. I like that he got the worm. The worm was OpenAI.
- [17:29]
A
Yes, he was very. He was early investor.
- [17:31]
C
Early with size, early with size.
- [17:33]
A
Doubled down many times. He got the worm. He's the early bird.
- [17:37]
B
Incredible. Yeah.
- [17:38]
A
Why is anthropic donkey Work.
- [17:41]
B
Donkey work. What does donkey work mean? I'm not 100% sure that this is like a real phrase. Apparently I asked GPT 4.5 and I asked Gemini 3 Pro.
- [17:50]
A
Okay.
- [17:51]
B
And they both said it was a real thing.
- [17:52]
A
Okay. It's boring or laborious. Part of a job. It's drudgery. Donkey work.
- [17:56]
B
In this case, I think it's kind of that anthropic has gone very hard on coding and API and enterprise.
- [18:02]
A
Okay. Okay. The laborious work.
- [18:04]
B
It's kind of laborious.
- [18:05]
A
Yeah, yeah. They're not doing like the, the really hot sexy like they're not doing a browser.
- [18:09]
B
They're not solving science.
- [18:11]
A
Yeah. They're not doing consumer science stuff. Yeah. They're doing the donkey work.
- [18:14]
C
Daria sitting there being like who's going to take all the jobs?
- [18:19]
A
Who's. I like donkey work. That feels the most accurate for what they're doing. They're going after the entry level white collar workers. They're doing the donkey work. Google just love this image.
- [18:33]
B
This is the last one. Google is the fat cat. Before we had Google snail's pace, I think this would have been true maybe a year ago.
- [18:40]
A
Fat cat's so much funnier. Look at that cat. It's so fat. I love it. All the cash flow, all the TPUs, they're GPU rich.
- [18:48]
B
The best image model, the best text model depending on what benchmark you look at.
- [18:53]
A
They're on top of the world.
- [18:54]
C
Slightly concerned. We have a sign for golden goose but there's golden goose is removed. But who stole the golden goose?
- [19:02]
A
Yeah. Who killed the gold?
- [19:03]
C
Or is there just no gold? If there's no golden goose on the in the air barnyard is that so is that bearish?
- [19:09]
A
The golden goose is a goose that lays a golden egg. One every day. And in the parable in the story, the farmer kills the golden goose to get all of the gold inside. But it is revealed that by killing the goose you no longer get the passive income.
- [19:27]
B
Maybe one take is the golden goose. They were the Neo clouds and then the market is hurting is taking the goose away. Corweave not in the past what month they've been selling off a little bit.
- [19:40]
A
Core Weave continues to lay golden eggs but the market got overheated and so that sort killed the game or something.
- [19:49]
B
And the gold is the GPUs subsidized GPUs.
- [19:51]
A
The chip CEO staring down Nvidia and talk of an AI bubble at a board meeting in late 2022. Lisa Su, chief executive of chip designer AMD announced that she was radically changing course. I'm going to pivot the entire company, she told the directors gathered around a boardroom table at the company's Austin campus. The rise of AI was a once in a lifetime opportunity, she said, and the company had to put AI at the center of its entire product line. Three years later, the Santa Clara, California based company has nearly quadrupled in size, its market value rising from 90 billion to more than3.35 billion. Despite a recent pullback, AMD's strategy of positioning itself at the center of the global AI race has paid off handsomely, making Su into a billionaire and her company into one of the only viable designers of powerful chips needed to power advanced AI models. In a market that has recently been complete completely dominated by Nvidia, sue is showing that there may be a place for a strong number two that can compete.
- [20:58]
C
Insane flow by the way. Check this out.
- [21:00]
A
Yeah, this is not the time to stay on the sidelines and worry, hey, am I over investing? She said. It's much more dangerous if you underinvest than if you over invest, in my opinion. Let's go. I love that. As AI models like ChatGPT and Gemini become increasingly integrated into daily life, and as companies design thousands of enterprise software tools that rely on AI models, demand for inference functions is about to go up by a billion times, Wong said last month. AMD has a strong line of inferencing inference computing chips, but has struggled to design chips powerful enough to compete with Nvidia. In training is 200 million the new 100 million in luxury real estate. What do you think?
- [21:39]
C
Many people have been asking that.
- [21:40]
A
So there's a $200 million house in Indian Creek, a $250 million house in Bel Air, a $300 million house in Aspen and a $205 million house in Palm Beach. A surge of ultra rich buyers has pushed asking prices to new extremes. Yet many headline grabbing mega mansions languish on the market or trade for a fraction of their debut numbers. Just a decade ago, the 100 million price tag was still considered a new frontier for luxury real estate. The first nine figure home sale occurred in 2011. By 2019 there had been about 20 sales recorded. Now real estate insiders say a new pricing benchmark is setting the tone for the high end market. 200 million. There's going to be a massive wave of wealth created from the AI boom.
- [22:23]
C
And I would not want to be in the market for a single family home within 20 square miles of OpenAI.
- [22:32]
A
There's like 40 people that are looking for houses in the five to seven million dollars range in North San Francisco. And there's none for sale because all.
- [22:41]
C
Cash offers, I'm sure from the.
- [22:44]
A
From the liquidity.
- [22:44]
C
Yesterday I resigned from TBD Labs Meta AI. I wasn't there for very long, but I think I got a few useful things done. Nice impressive group of people. And it's especially impressive that it got assembled as quickly as it did with such a high talent bar at a large company. Quote, unquote, founder mode is real and good. I will certainly miss my coworkers there. I think now is an unusually high leverage time to pursue ambitious new projects at the intersection of AI and other technologies. Please reach out to me if you're interested in that sort of thing. And I expect I will have something more detailed to share in not too long.
- [23:21]
A
Is that the sound of a thousand venture capitalists writing term sheets?
- [23:26]
C
Bernie Sanders.
- [23:27]
A
Okay, what's happening with Bernie?
- [23:28]
C
Firing shots.
- [23:29]
A
Here are some of the most powerful AI oligarchs in the world enjoying a private dinner with a dictator who murders his own citizens with a bone saw. Oh, does anyone really believe they want to wipe out poverty or improve life for ordinary Americans? I don't. And he's sort of mogging Greg Brockman here because he leaves Greg Brockman's net worth. He doesn't even try and estimate it. He just says question mark, question mark, question mark.
- [23:53]
C
Bernie Sanders, age 75. Guess again.
- [23:57]
A
78.
- [23:58]
C
Guess again.
- [23:59]
A
77.
- [23:59]
C
Guess again.
- [24:00]
A
80.
- [24:00]
C
Guess again.
- [24:01]
A
82.
- [24:02]
C
Guess again.
- [24:02]
A
I have no idea.
- [24:03]
C
84.
- [24:04]
A
84. Oh, he's up there.
- [24:05]
C
He's up there. So Grandpa is pissed. Yeah. I don't blame Bernie for being a little bit salty at this point because he's never on those charts of the best political traders in history. That's true. Right? He's been having to sit there and watch Nancy Pelosi run it up. The most insane run.
- [24:25]
A
And he's just missed out. The fomo. Must be crazy. Every day he's opening up and Nancy's up another mill and he's just sitting there like, ah, I missed it. I missed it.
- [24:34]
C
Luxury watch guy is concerned about the bitcoin sell off because he says there are going to be so many effing APs on the market. Facepalm.
- [24:44]
A
Oh no.
- [24:46]
C
The cryptocurrency industry certainly has been known to enjoy an AP.
- [24:51]
A
Yeah. Google's Genius. By not selling TPUs, Google allows Nvidia to maintain high GPU pricing, which in turn props up price of inference. Google Then captures that inference price Premium by running TPUs for inference on GCP. This is a conspiracy theory by Dave 3 and 30 Tepper.
- [25:10]
C
Just, just because you have two players in the market like doesn't mean you can sort of have a, you know what happens in the soda industry. Right? But effectively like I was thinking about.
- [25:19]
A
GLP1 market like there's just a lot of demand. You don't need to cut prices the.
- [25:23]
C
Price that and you also understand that you can get in there. There's can be reason not to get in a race to the bottom dynamic and effectively have a gentleman's agreement to keep prices in a certain range. Of course that can go too far. But shower thought. Why is no one doing outbound for pizza? Hey, this is Gigi from Gigi's Pizza calling. You ordered last week. We have a pepperoni pizza ready and could deliver it in 10 minutes. Are you hungry? Tech sales guy says trillion dollar idea. And of course it goes viral again. Some ideas and bangers are evergreen.
- [26:00]
A
What is this story of the FBI raising a bounty for a former Olympic snowboarder who turned alleged drug kingpin?
- [26:07]
C
We love these stories. We covered this guy on the show before.
- [26:11]
A
Ryan James wedding.
- [26:12]
C
He's married to the game, is he? No, Ryan wedding.
- [26:18]
A
Oh, Ryan wedding. Okay. Yes, he's married to the drug dealing game, I suppose.
- [26:22]
C
He's a former Olympic snowboarder from Canada. He represented Canada at the 2002 Winter Olympics Men's parallel giant slalom. After the Olympics, it is alleged that he became a transnational drug trafficker and orchestrated the murders of various witnesses.
- [26:38]
A
Whoa.
- [26:38]
C
And he's only 44, so he's kind of just kind of hitting his stride. He was added earlier this year, March 6th to the FBI 10 Most Wanted. So he's in the top 10, 10.
- [26:51]
A
They have any idea where he is? I wonder how he'd hunt this guy down.
- [26:54]
C
And they're saying he's running one of the largest drug trafficking operation and is believed to be the dominant cocaine distributor in Canada. So from the Canadian Olympic team to the narcotics trafficking MVP status, the hard thing is when they talk about because drug kingpins have just been the stars of so many different great television show, TV shows and movies. Pam Bondi said he's the modern day iteration of Pablo Escobar.
- [27:32]
A
Somebody was about to turn him in. But they hear that and they're like, oh, he's too cool to turn in. Can't do it. It's not worth it. I just gotta be friends with this guy. Living through history.
- [27:40]
C
Oh, wow. So after the 2002 Winter Olympics, he moved back to Vancouver and attended university. He got into bodybuilding and started working as a bouncer. After two years in university, he dropped out and began to speculate in real estate, which he financed by growing marijuana in a massive warehouse. He eventually expanded his operation and joined up with Iranian and Russian smugglers. And in 2010, he was convicted of attempting to buy drugs from a U.S. government agent. And he went to prison for it.
- [28:14]
A
There are so many startups these days that are going after Palantir's market, competing in enterprise software, enterprise AI, forward deployed engineers. It's all a bunch of memes. Everyone's. Everyone's keying off of the Palantir strategy. I think if you're trying to play in that market, you got to take down a most wanted fugitive. You get the 15 million, that's your seed round, and you use this as marketing the company that finds this guy. I'm going to believe that your model's pretty good. Whatever you're doing, if you can find this guy, I'm going to be like, yeah, yeah, that's enough of an eval for me. You passed the benchmarks. I don't care. You're mmlu. Tell me, how many fugitives have you checked off the FBI Top 10 Most Wanted list? Thank you for tuning in. Thank you for listening. Thanks for hanging out. We love you and we'll see you on Monday.
- [29:06]
C
Have a fantastic weekend.
- [29:07]
A
Have a great weekend. Goodbye.