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- [00:02]
Kip
Hey everyone, get ready. We are unboxing Grok 3, the brand new model that some people are saying is the smartest AI model on the planet. Kieran and I are going to break down is it? What's it really good at, what might be less good at and how you should start using it. Let's get into today's show. Here's a quick message from HubSpot. This isn't your typical marketing software ad because. Because HubSpot isn't typical. It's marketing made easy. Turn one piece of content into assets for every channel, convert leads in no time and get a crystal clear view of your campaign performance. HubSpot can do all of that and get you results fast. Like double your leads in 12 months fast. See, I told you this wasn't a typical Software ad. Visit HubSpot.com marketers to get started for free Foreign. Hey everyone, we are talking the brand new Grok 3 or what some people are calling the smartest AI model on the Internet. It dropped Monday night at 8pm EST time and there's a lot of people saying a lot of things Kieran, about Grok3. I think the most interesting part of Grok3 is that in the core arena testing it is the first model ever to score over 1400 on the chatbot arena and outperforms the best reasoning models from OpenAI and Google. So the very baseline is graduating. Grok 3 is a very smart model. And Kieran, one of the things that blew me away about Grok being a smart model and everything that's cool, but you're like well how is it so much smarter? Like why is it what it is? And one of the reasons is that they have put together 200,000 GPUs in Memphis, Tennessee to run Grok 3. And what's crazy is they went from nothing to 200,000 GPUs in 214 days.
- [02:18]
Kieran
It's a very Elon Musk.
- [02:20]
Kip
Yeah. I saw a separate tweet, Kieran, that they have leased 25% of all temporary cooling in America to run this center.
- [02:29]
Kieran
Like one of the things you and I are actually using deep research for is to learn call option trading. And I was actually thinking I should trade Nvidia of this being like you basically you gamble. If it was bad news, they get tanked. If it was good news, it shows.
- [02:42]
Kip
That Nvidia is already up above 140 in pre market. You lost a trade already. You were right.
- [02:49]
Kieran
It's because I'm so busy. Just someone come work with Me and I'll give you like a percentage of. I have so much stuff I can do. I just forgot to do this. I was doing it on Friday and then I got distracted by something else. Trolling people on LinkedIn.
- [03:02]
Kip
You were right. You were 100% right. That was the trade.
- [03:06]
Kieran
That was the trade.
- [03:06]
Kip
Fried for being right. Great job. Back into it. Kieran's gotten over losing some money and now we're back in the game. And what's crazy though is that yes, this is a very pro Nvidia 200,000 GPUs in Memphis, Tennessee using a ton of amount of cooling. That's not really what people care about. It's interesting, it's fun, but it's not the core thing. The core thing people are caring about is how is the model, what's it doing? One of the things I did really like though, before we get into that, is this post from nikita. Game over. Grok1. If you're an investor opening eye, you could report your tax loss to your accountant this year.
- [03:46]
Kieran
Something to kind of back that up is this. I don't know if you caught this actually, because the thing that I would have thought originally would Grok is they were predominantly going to go and just try to beat OpenAI and consumer use case because they have Twitter.
- [03:57]
Kip
Yeah.
- [03:57]
Kieran
But this really caught my eye. Right. Like Palantir has brought Grok to the enterprise now officially available. So I do think that this is problematic for opening OpenAI because you've got a pretty incredible competitor in Elon, which considering this team started a year ago, wild is not good for Google, not great for OpenAI. And I do think they have a new competitor who's not only shown that he can compete on anything that really is a paradigm shift, but really does not like Sam Altman. And so that's a. So probably has like this extra incentive to do some real work here.
- [04:36]
Kip
So just a total aside on today's show, Kieran, one of the action items for you and I, we are going to go use deep research probably in grok and in OpenAI and we'll compare them. We just want to take the CEOs of all public or late stage private companies who hate each other and just do trades against that.
- [04:54]
Kieran
Just trade the call options.
- [04:55]
Kip
There's never been a better motivation in this world than spite.
- [04:58]
Kieran
Yeah.
- [04:58]
Kip
And if somebody's trying to grind an axe like you might as well make some money on the deal because that seems like what's happening with OpenAI and Grok. Grok is like, hey, I'M just going to win this. And I don't care if I have to lease 25% of the cooling. I don't care if I have to spend endless amounts of money. It's just a matter of principle, right? And there is nothing better than somebody who's like, this is just a matter of principle.
- [05:25]
Kieran
Plus, Elon has a pretty incredible track record. He's not the person that I would want to have as my like, competitor who truly does not like me.
- [05:32]
Kip
Well, and it's not just track record. It's like, what do you think his access to capital is like, what do you think his credit line is? A trillion dollars.
- [05:38]
Kieran
This is my reasoning.
- [05:39]
Kip
2, 3, 4 trillion. Like, I don't know, like some financial analyst should share that with all of us. But it's insane. He has to have access to more capital than any human on the planet.
- [05:48]
Kieran
I do think in these kind of things these benchmarks kind of get lost to me because the proof is in the use cases that you want to use it for. So. So when I say these benchmarks aren't important, they are obviously important, what I meant was just like how important they are to the user depends upon the use case you're trying to do it for. And that's how you'll feel about the model. But this is a pretty great way to think about AI. So AI is rapidly approaching human level expertise. So 01 models were the first time they started to breach that. I think this is 01 Pro. But all of these models are pulling each other up. You have Google's Gemini 2.0, which I think is down here. You have these newer models kind of pushing themselves up here. Other could be deep seat. But what's happening is this year the human intelligence is a solid problem in that GROK is another evolution here.
- [06:33]
Kip
Totally.
- [06:33]
Kieran
What we're showing for our listeners is a chart that shows the progress of AI models against expert human level expertise. And since July 2023 to January 2025, we have rapidly been approaching not just expert human expertise, but actually we've surpassed it with some of the O models. And GROK is there as well. So what's actually incredible to think about is this year we've solved the problem of being able to give everyone human intelligence for pennies, if not for free, because GROK will have a free version, OpenAI has a free version, DeepSeq is free. All of these different models are free. And I think that's a wild thing to think about.
- [07:14]
Kip
You know what's wilder than that though? Kieran this is as hot as hot takes come. It shows you how less important intelligence is than what everybody thought.
- [07:23]
Kieran
Than we thought. Yeah, right.
- [07:25]
Kip
Like it's actually not about intelligence. It's about human behavior, human emotion, the ability to take that intelligence and apply it, drive, motivation. It turns out that we thought like the smartest person would win and now that everybody can be smart, it's just fundamentally not true.
- [07:42]
Kieran
Well, I think it was right valuable when you couldn't just go to a text box and get it for free. There's value in scarcity. So like human level education used to be scarce because it cost you thousands of dollars. Well, first of all, you had to be intelligent. Then you had to spend thousands and thousands of dollars to go to these kind of colleges and universities. Oh yeah, I think that's a side point.
- [08:00]
Kip
We can talk about that.
- [08:01]
Kieran
Maybe that was not actually a great use of funds. But anyway, you have, like some people are just more intelligent than other.
- [08:07]
Kip
Right.
- [08:07]
Kieran
And so there's scarcity there. And now you democratize that. So you basically democratize intelligence in the same way that if you actually just go through human evolution and we can, you know, I'm sure people don't want to hear us go through human evolution. And where AI wax poetically. Yeah. But I do think of AI in terms of like we democratized water, we democratized electricity, like all of these things that are just staples of how we actually evolved. And like intelligence seems to be going down that path where you have access to that for free. And I do hope that it does go that way. I do hope it's not that a small group of people have access to super intelligence and that's how they just continue to like wield power. I hope everyone gets access to it. And then to your point, well, what is a differentiation? And differentiation is ideas, execution, behavior, motivation, motivation.
- [08:54]
Kip
Just like, are you willing to care about something and apply that intelligence consistently for a long, long period of time.
- [09:01]
Kieran
Right. One of the things that I have from this is like a pretty good tip, actually. An AI tip that you really don't want to fall into. And I'm trying to be really cognizant of this. The thing that AI does is it kind of reduces domain expertise to just type in a few words in a text box and you don't learn anything. Right. So when you are going back and forth with a AI assistant to do write in, unless you're using it wisely, you can just lose the art of writing because you're offloading a lot of that to an AI. Assistant. I think about this a little bit with coding. I've started to do a bunch of coding on lovable employees. When I say coding, it's not me coding, right? It's building apps through lovable Shout out to that team. They're the fastest growing company in Europe. They're incredible. Their app is actually incredible. I use it to build an app. Over the weekend I've been trying to play around with Cursa, but the thing I've been mindful of as somebody comes from a computer science background is like, I have no idea what this thing is doing, but it spits out what I want. And I don't know if that's a good thing or not a good thing. I haven't learned anything. I've just got what I wanted, right. And so I'm doing courses to learn Cursa. I'm trying to like really make sure that I'm getting better along with my AI usage versus me just offloading the things that I want to be good at, my domain expertise to other AI assistants.
- [10:12]
Kip
Should we want to look at some software finally?
- [10:14]
Kieran
Yeah, let's do it. All right. Let's look at some use cases.
- [10:16]
Kip
Okay, let's. I'm trying to think. Let me just pull up Grok just plain for a second here before we get into actual use cases because I want you to see, I want everybody out there. So what's interesting, first thing we talked about, how smart the models are, all that kind of stuff. The first thing that strikes me, Kieran, is that Elon and Grok have done what Sam said he is going to do in the future at OpenAI.
- [10:40]
Kieran
Just one model.
- [10:41]
Kip
So you have these two models right here. You have the old one, Grok 2 or the brand new one, Grok 3, and you don't have to pick other than that. And deep research and reasoning are built in. So it's not like you have a reasoning version of Grok 3 and a non reasoning version and a deep research version. You can just toggle everything pretty easily here. Am I doing deep research or do I need it to think critically? The user experience is a little simpler and more consumer friendly here than I think on some of the other models today. Yeah, agree.
- [11:10]
Kieran
Yeah, I think that's right. It looks a little like deep seq.
- [11:13]
Kip
Yes. And so now let's look at a couple examples. So first I wanted to do a side by side on deep research because that's a use case you and I use a lot. So I just wanted to do something that like I thought would be a Random consumer use case, because that's kind of what we're talking about. And I just wanted to do deep research on the health benefits of red light therapy. And see, so GPT3 Hive Mini is like, can you explain all of these? But what was interesting is can you do a research project on the health benefits of red light therapy and Grok 3? So it went through and showed you exactly the reasoning, I think very deep, seeky, right? Showed you what it searched for, kind of showed you the logic and the train through here. So search 45 web pages. So that's a little bit closer to Gemini and a little bit better than Chat GPT in terms of like sourcing and searching. And it gives us like a pretty comprehensive overview of like why you would do this and gives us a good summary table of like, hey, if I have this health condition, here's the benefit and here's the evidence, strong or not strong around this. And then it gives you some key citations. Like, I actually think this is very good. Like, I'm trying to decide if I will use this more than ChatGPT deep research, which you and I have been using a ton. I think it's probably one of the things we most go back and forth.
- [12:36]
Kieran
It's one of my favorite products that's being released in AI, right?
- [12:39]
Kip
So given that how much you love Deep research as a use case and how much you use it on ChatGPT, I, I pay the $200 a month for it. Grok 3 is available, we should say to premium Twitter users. So you do have to pay, I think it's like 15 bucks a month or whatever. I forget the exact price. It's sub$20 a month. So here is Grok3 with Deep Research. And what's interesting is it didn't need to ask me a ton of clarifying questions like I have to do often with ChatGPT. It shows me here, Kieran, this entire chain of thought around, like the health benefits of red light therapy. I wanted to do something like very basic, right? I didn't give it this like very detailed academic prompt to start and it shows you what you're researching. It then looks at different aspects, exploring cellular effects, for example, gives you pretty good breakdown of what it's doing. And then after that, then it gives you this full summary of benefits, safety, usage, citations. It's good for wound healing, hair growth.
- [13:45]
Kieran
It's pretty cool.
- [13:46]
Kip
What I liked is that it put a table together, Kieran, of the condition you might have the benefit and whether there's like real Evidence or not. Right.
- [13:54]
Kieran
Like I found this, I love that.
- [13:55]
Kip
Incredibly helpful. I thought this was really good. And then it also then gives you citations if you want to go deep dive. And obviously these citations are throughout the research, but also here at the end. As somebody who is just, I think, a top 1% ChatGPT deep research user, what are your initial thoughts?
- [14:14]
Kieran
I like that it's showing you exactly what it's doing.
- [14:16]
Kip
You have researching red light therapy, exploring cellular effects, investigating side effects, evaluating health benefits, assessing safety concerns, and then it's done.
- [14:24]
Kieran
It looks cool. This is kind of my point with some of this. Until you really get into trying to use it for your own stuff, it's really hard to like differentiate between some of these models, which is like becoming part of the problem. Right? Because you have so many options now. Who would have known we would have had so many options to have incredible AI intelligence?
- [14:41]
Kip
It's wild. Let me tell you about a great podcast. It's called Creators of Brands. It's hosted by Tom Boyd. It's brought to you by the HubSpot Podcast Network. Creators of Brands explores how storytellers are building brands online. From the mindsets to the tactics to the business side. They break down what's working so you can apply that to your own goals. Tom just did a great episode about social media growth called 3K to 45K on Instagram in one year, selling digital products and quitting his job to go full time creator with Gannon Mayer. Listen to creators are brands wherever you get your podcasts. So one of the things, Kieran, that we've done previously with 01 and 03 is we've used it as like a YouTube growth coach. And so if folks didn't see the show, we took basically all just the raw data, just copy and pasted out of a CSV and asked it to give us basically strategy and growth advice to get to a hundred thousand subscribers, right? It did a really good job, right? It said identify high performing video topics, optimize your hook, your thumbnails, scale distribution and promotion, developed ongoing series, improve viewer retention, smart things that you'd want to do, right? And so the question is, how is GROK compared to those results? So I did two versions of this in Grok. Karen. I took that same exact prompt, same exact data, and I put it into grok. And this version I'm showing first is the non thinking version. So I did not click the thinking icon. Okay, so less reasoning and it's not that great. It's like understand your content performance, which is fine and does a good job mathematically of breaking down like where our videos stand. Define a growth strategy, detailed action plan. Like this is very like basic, you know, kind of Claude 3.5 or worse results. And so then I was like, okay, well what happens if I do the reasoning version? So it thought about it for 57 seconds and then it basically gave me the same version. Not the same. I'm interested to see what you thought. It's like, focus on high performing content themes, optimize best practice titles and thumbnails. Leverage short form content for viral potential, which I thought was interesting. It picked up on like this one outlier, this one viral short we had from Cody Sanchez. Subscriber rate, publishing schedule, collaborate with influencers and creators. Called out Cody Sanchez and a few folks. Maximize watch time. Like it was good, like it's on par with 01.
- [17:32]
Kieran
So okay, I actually don't think it is. This would be one place that I would like to dig into. But the thing I would say is the one Pro model is really great at strategy.
- [17:42]
Kip
It is.
- [17:43]
Kieran
And so we have a episode that will be live after this from Meyer Kraken where we walked him through some things live and on just first look because I'm in Europe so I'm having to like get access through a bunch of like secret ways to Grok three. So I'll have access for the next show. But just on first looks, in terms of what you showed me, that is a very vanilla strategy. And what I found 01 models to be a little bit better at is like really thinking through the problem and really thinking through the strategy.
- [18:10]
Kip
Yes.
- [18:10]
Kieran
But I think what all of this proves is without context, they're all like fine. But when you actually start to give them internal context, they're amazing. So let me walk you through a real use case that I was working on this morning is there's a problem that I'm working on in HubSpot. You know this problem?
- [18:26]
Kip
Yep.
- [18:26]
Kieran
It's a low end of the market go to market problem. I have five years of data, research, numbers, strategic docs, results, goals, hypothesis, what we proved, what we didn't prove. And I can give that all to an A1 model, in your case, a Grok model. And it is incredible as a thought partner, incredible not to give me solutions. But I'm going back and saying actually pull that line back out. Like I'm like, What are the 10 most interesting trends? What are the five most important problems and why do you think they're problems? Go back and give me that Problem again, actually give me like three reasons you believe that's a problem. It's like a really smart thought partner. And it was just another unlock for me. I was like, I spent three hours this morning working with it like a colleague. I was just jamming, going back and forth, riffing and its ability to pull out the right line from a multitude of different docs and like us to go riff on that line. And so my point here is like all these models are going to be much more incredible when you give it context.
- [19:32]
Kip
So much more.
- [19:33]
Kieran
And so the enterprise use case is really important. And so that's why I was really interested in the fact that Grok3 has enterprise ambitions. Because I think that's a place that those models, they will make real impact.
- [19:44]
Kip
Oh, 100%. That's what's going to happen. Right. We're talking about GROK today, but what you just described is the single biggest underused AI use case in the world right now. I think is to use advanced reasoning models to work with you to think through hard problems much faster and in different ways.
- [20:04]
Kieran
Yeah, because you can basically ask it to steel man an argument. You can ask it to give you the bull and bear case of that argument. What I ask it to do is poke holes in my thinking here, which I need to do a better job of at Unmasked. One of my things is I run ahead to solve things and don't spend time trying to poke holes in my own argument. It's great for that, right? It's great for those things. And so I think if you're in a strategic role and you're not having a multitude of different back and forths with these reason models day in, day out, you are behind the curve of where you need to be in AI usage.
- [20:40]
Kip
If anybody asks me for feedback on something, I have a format now. I give them my feedback and I tell them. I also give them the feedback from the model I think is most appropriate for that process problem. And I tell them what I agree with or disagree with, that the model.
- [20:54]
Kieran
Said, oh, that's pretty cool. That's pretty cool. That's actually awesome. Yeah, I love that I need to.
- [20:59]
Kip
Expose the fact that like they should have used the model and not asked me.
- [21:03]
Kieran
Yeah, I love that.
- [21:04]
Kip
Right. And so like that is how I give feedback, of course, on everything.
- [21:07]
Kieran
Now you could take that another way, which I'm always reminded of because, you know, you and I are pretty hological people and just care about problems and then other people are like people people. And I was reminded of that on a conversation this morning where I was like, oh, I'm being a logical person, not a people, people person. And I got some good feedback. You can interpret that as Kip would much rather I didn't exist that he could just go back and forth with the AI, which is only half true.
- [21:34]
Kip
You know, my line around this is that there are people in the world whose primary object of the world are other people. And there are people in this world whose primary object of the world are problems.
- [21:45]
Kieran
Yes, I like that.
- [21:46]
Kip
And my primary object is problems. And I really like people when they help me solve problems. I really dislike people when their emotion or their feelings about other people stop me from solving my problems.
- [22:00]
Kieran
Yes. Especially the feelings about other people.
- [22:02]
Kip
Makes me a borderline psychopath, I think. But it is. It is what it is.
- [22:05]
Kieran
Yeah, I agree. There's no right or wrong way. Oh, I've just seen Grok3 is coming to Cursor as well. Cursor is my new thing that I'm trying to learn.
- [22:11]
Kip
I was going to say, are you going to be doing a cursor show for us soon?
- [22:14]
Kieran
I'm going to start a cursor course. One of the things I love about AI is it just, again, I come back to it. It's just unlocking people's ambition. And so I have three brothers and one of them is a consultant. I won't give away the company he works at. He's very technical, actually. He's doing dope in AI, so we can actually do dope together, like take courses together. So there's just. There's this like, unlocking of ideas.
- [22:39]
Kip
Totally.
- [22:39]
Kieran
Right. Because the barrier to ideas have been broken away and it's unlocking this in people. He's not the only example. I have people on my WhatsApp pinging me about things they're doing. I'm like, geez, that is so cool. This person was not doing anything cool prior to AI. Okay. I did not mean that about my brother, by the way, because he listens to this show. I did not mean he wasn't doing anything. Anyway, we're doing a cursed course together. That was the long winded way of.
- [23:01]
Kip
Saying that I'm psyched for that.
- [23:02]
Kieran
So I have a bunch of Marklin reason indoctrinates. They're all usually based upon synthetic data. Now, internally at HubSpot, I can use my internal data, which when it gets a lot better. And so this one here is. It takes a bunch of synthetic data about previous marketing campaigns and then it digs in like about a hypothetical company that I give it and then it digs into what it can learn about those campaigns, what you should do in the future and, you know, builds a whole campaign plan. And so when I did this in Deep Seek, it was incredible, Right. It actually built me at a marketing annual plan for the channels based upon this data in a way that I think it would have taken a real marketer probably a good month to crunch that data, distill all of that out and come up with this annual plan. And deepseek did it in a small amount of time. And so I have some reasoning prompts or like tasks that are specific to marketing that I run through these models. And so that's what this one is.
- [23:53]
Kip
Here's what he gave you. So it came up with a lead generation campaign to private clinics. This is a software company for doctors.
- [23:59]
Kieran
Yeah, it's a hypothetical company that sells software to doctors.
- [24:03]
Kip
It gives you a performance analysis, external features. So it got the seasonality side of it.
- [24:10]
Kieran
It got the seasonality, yeah. So I specifically use doctors because it's seasonality. And so it got that. It got the different Personas. It looks pretty good, actually.
- [24:19]
Kip
It's not bad.
- [24:20]
Kieran
I like the structure. Actually.
- [24:21]
Kip
I will say one of the things I have found in my early usage of Grok is it's very good at structuring. Structuring without having to ask you a bunch of questions about how you want it structured.
- [24:30]
Kieran
Yeah.
- [24:31]
Kip
The two things I would say I like most about it are that and that it is fricking fast.
- [24:36]
Kieran
Yeah. I heard that the speed is a big thing.
- [24:38]
Kip
You can tell there's 200,000 GPUs.
- [24:40]
Kieran
Yeah.
- [24:41]
Kip
Because it is fast, man.
- [24:42]
Kieran
It's very similar to Deep Sync, which does make me think that these reasonable models are very similar capabilities. See here the external factors.
- [24:48]
Kip
Yep.
- [24:48]
Kieran
Held in May, potentially coinciding with major healthcare events. It got all the right trends.
- [24:52]
Kip
Yeah.
- [24:52]
Kieran
Because I actually injected things that would make it need to pick up on that. You get the solo practitioner, all the same things. Yeah. So it's very similar to deep6 output. Pretty good external trends to consider. This is the thing that you should really do. And when you do research products for your internal data, you and I talk about this. Everything I pair with external trends.
- [25:09]
Kip
Yeah.
- [25:09]
Kieran
And so this one is a good example where it's picked out conferences, it's picked out seasonal factors, it's picked out industry shifts. Actually this is a good one. Changes in healthcare policies. Stay informed on these. Yeah. Okay. So gives you pretty good advice. Like if you're a marketer, it gives you like, again, it's great thought partner. And So I think Rock3 is going to be very similar to how I feel about 01 Pro or some of the O1 models.
- [25:30]
Kip
And I will say the use cases straight out of the way would, for me with Grok, if I was an individual AI user, would be faster. Repetitive reasoning tasks.
- [25:39]
Kieran
Yeah.
- [25:39]
Kip
Right. Like sometimes O3 high takes like 10, 12 minutes to reason something.
- [25:45]
Kieran
Right.
- [25:45]
Kip
And does a nice job. But it's not fast where like this is like a very good quality output. Thought for 29 seconds to do this. That's lightning fast compared to other models I have been working with. Right?
- [25:57]
Kieran
Yeah. The other thing I'm going to try it out with when I get access tonight is I want to try it out with writing use cases because the other thing it has access to, which I don't really know. I'm going to listen into the webinar they give. I don't know if they're using their proprietary data, the Twitter data. Yeah. The thing that Elon has that Sam doesn't is he has that in Tessa, he has it in Twitter, he has it in SpaceX. Like he actually has data sources that you can't get access to.
- [26:23]
Kip
He has built the most vertically integrated system ever.
- [26:27]
Kieran
Right.
- [26:27]
Kip
Where he just controls everything and doesn't have to depend on anybody to be successful. It's wild.
- [26:32]
Kieran
I really want to try out my writing use cases because Twitter has incredible writers and they have access to a lot of creativity in that platform. I wonder they've injected any of that into the model.
- [26:43]
Kip
Yeah. Today's show was an overview of our initial reactions, what was happening with Grok. But as we use it more, we're going to probably come back with a few other shows of like, very specific use cases we find to be very good. And what we're saying now is that Grok is really good. If you are not a detailed prompter. Grok is pretty good because it's good at providing structure. And if you're in a hurry, Groq is fast.
- [27:06]
Kieran
Right?
- [27:06]
Kip
Right. Like out of the box for any use case. Those would be two things that if I cared a lot about, I would be probably leaning towards Grok compared to some of the other models right now.
- [27:16]
Kieran
Right. It's cheaper, cheaper, faster.
- [27:19]
Kip
It's always a good start for a new product to disrupt. Right.
- [27:22]
Kieran
It's always a good start.
- [27:23]
Kip
So, Kieran, before we close out today's show, anything else you want to add on Grok 3?
- [27:27]
Kieran
No. It's a model that I need to go start playing around with, get my European access through some sneaky way and have a good time.
- [27:35]
Kip
EU baby.
- [27:37]
Kieran
Yeah, eu. We'll get there. I've got like most of the things I want now actually.
- [27:42]
Kip
That's pretty impressive. Okay, so that was Grok 3. I hope you all enjoyed it. We encourage you to go and try it. I do think Kieran to close out. One of the things is it seems like they're going to go to the enterprise through API and not through like these enterprise seats. So it is going to be a more consumer kind of seat, end user product versus API product. And to be fair, OpenAI their reasoning models are really only through the API now too. So reasoning in companies is still very limited to the API. Yeah, and I think that's one of the things that are holding us back as kind of the business use cases are trying to come about.
- [28:21]
Kieran
Well, in our enterprise see, we have all the reasoning models that just happened. Yeah, that's what I mean. But that's huge.
- [28:27]
Kip
Just happened.
- [28:28]
Kieran
That's what I mean. That's what I was using for this morning.
- [28:30]
Kip
Yeah, like I think that we got those like days ago.
- [28:33]
Kieran
Yeah, that's days old. And it's a huge unlock for enterprise use cases. Like the difference is orders of magnitude difference in me being able to work through problems as a thought partner with AI.
- [28:43]
Kip
All right, that is Grok 3. We hope everybody has a great week. We'll see you real soon on marketing against the grain.