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This Week in Startups
Grok 4 Beats OpenAI + The $300 AI Agent Era | E2150
Episode Summary In this episode, Jason Calacanis and Alex Wilhelm discuss the latest advancements in AI technology, particularly focusing on Grok 4 from xAI, which has reportedly surpassed OpenAI in performance. The conversation covers a variety of topics including AI pricing trends, legal challenges related to AI bias, and the emergence of autonomous commerce, particularly in the context of autonomous vehicles.
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Key Discussions
- AI Models: Grok 4 vs. OpenAI
- Performance Leap: Grok 4 has been described as achieving AGI-level performance, with endorsements from industry leaders.
- Benchmark Tests: Grok 4 has performed well on various established testing metrics such as SATs and LSATs, showcasing significant advancements in its capabilities.
- Price Trends: The episode discusses the dramatic decline in AI model pricing, with Grok 4 being more expensive than its peers, raising questions about market dynamics.
- Legal and Regulatory Challenges
- AI “Bias” Investigation: The Missouri Attorney General is investigating AI models for political bias, specifically related to President Trump.
- First Amendment Concerns: Discussions around the regulation of AI models and the implications for free speech are highlighted, emphasizing the need for careful consideration of AI’s role in society.
- Autonomous Commerce
- Integration of AI with Retail: The potential for AI and autonomous vehicles to reshape the retail landscape is explored, particularly how they could improve delivery and customer service.
- Fragmentation in Retail: The challenges retailers face in adapting to multiple autonomous vehicle platforms and the necessity for seamless integration are discussed.
- Guest Segment: Ben Seidl of Autolane
- Overview of Autolane: Ben Seidl introduces Autolane, an operating system designed to integrate autonomous vehicles with retailers.
- The Concept of Autonomous Commerce: The conversation emphasizes how autonomous vehicles could facilitate new forms of commerce, effectively acting as personal agents for consumers.
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Key Takeaways
- Grok 4's Performance: It signifies a notable shift in AI capabilities, suggesting a potential for more widespread application of AI in various industries.
- Regulatory Landscape: As AI technology evolves, the regulatory environment will also need to adapt to address emerging challenges and questions about bias and accountability.
- Future of Retail: The integration of autonomous vehicles into the retail sector presents significant opportunities and logistical challenges that need to be addressed for effective implementation.
- Autonomous Commerce: The concept of using personal autonomous vehicles as delivery agents could transform consumer behavior and retail dynamics.
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Additional Insights
- Price Evolution of AI: The episode predicts a future where AI model costs decrease significantly, potentially leading to an "all you can eat" subscription model for users.
- Market Dynamics: The shift in AI capabilities may influence competitive strategies among tech companies and drive further innovation in related fields.
- The Role of AI in Everyday Tasks: The potential for AI to become an integral part of mundane tasks highlights its growing importance and impact on daily life.
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Episode Links
- Subscribe to the TWiST500 Newsletter: [TWiST500 Newsletter](https://ticker.thisweekinstartups.com)
- Visit Lemon.io: Get 15% off your first four weeks of developer time at [Lemon.io](https://Lemon.io/twist)
- Explore Retool: [Retool](https://www.retool.com/twist)
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Social Media
- Follow Jason Calacanis: [Twitter](https://twitter.com/Jason) | [LinkedIn](https://www.linkedin.com/in/jasoncalacanis)
- Follow Alex Wilhelm: [Twitter](https://x.com/alex) | [LinkedIn](https://www.linkedin.com/in/alexwilhelm/)
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Conclusion This episode encapsulates the rapidly evolving landscape of AI, its implications for businesses, and the exciting prospects of autonomous commerce. The discussions around Grok 4 and its competitive edge over OpenAI provide insight into the future direction of AI technology. ```
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00the internet is filled you'd be find the shocking Alex and I'm sure the audience will as well with biased people. There are people on the internet who are not straight shooters. They're not calling balls and strikes. They're on a team. Oh, really? Yes. And when they state facts about a person, they may use colorful language or compare them to Hitler, Idi Amin, Stalin, etc. And they're doing it in bad faith. This Week in Startups is brought to you by Lemon.io. Hire pre-vetted remote developers and get 15 % off your first four weeks of developer time at Lemon.io slash twist. Retool. Bridge the gap between AI demos and business impact with technology that's designed for developers and built for the enterprise.
0:52Visit retool.com slash twist and try it out today. and vouched turn your ai infrastructure into production grade software with know your agent from vouched check it out yourself at vouched.id slash twist trust for agents that are built for builders like you all right everybody welcome back to this week in startups i'm your host jason calacanis with me again my co-host alex wilhelm we've got a full docket for you on a friday july 11th crypto at an all-time high grok for blowing people's minds um what else we got here. Just tons and tons of interesting stuff, plus a great guest. Got a great guest here.
1:32Second time founder I've invested in doing something very interesting in the self-driving space. So that's a real special treat for you live in studio here in Austin. How are you doing, Alex? I'm doing fantastically well. It's Friday, feeling good. I think the interview today is going to be a lot of fun prepping for it. I'd never heard of this particular niche, so everyone should make sure to stick around because that's uh it's definitely a little forward looking you might say jason but i love people that are just ahead of the ball yeah um but i really do think that the the biggest story of the last couple days has been the debut of grok 4 from xai which according to metrics jason is fantastic according to the standards that we look at it's blowing people's minds uh a comment that i love that sets the tone for the latest kind of state-of-the-art model is from tim sweeney of course from epic games and he says grok 4 feels like artificial general intelligence to me.
2:25And I think in terms of endorsements, that's about as good a one as you can get. Yeah, it's interesting. There are objective tests we can look at as well. Everybody knows these models do a series of tests. Math, like SATs, the LSATs, whatever that is for legal. You can put these through all kinds of tests, which of course the people who make models are now a bit obsessed with their rankings on these tests. So, you know, I'm not sure exactly how important these tests will become once they've all been mastered. We're moving into a space where all human knowledge has been mastered. According to these kind of tests, the idea that AI would get something wrong on the SATs to use a common test people know just seems farceful at this point.
3:12Like, why would it get it wrong? Now, think about how far we've come. The idea that AI is going to win every chess match, we kind of got okay with that about 10 years ago. It's going to beat you at go five years ago. It's going to be a better driver than you. Probably, we're soaking in that moment right now. It probably is better than you, net-net, with drinking and distracted driving, and certainly on these tests. So let's just go over some of these tests. I know there's like the artificial analysis index or whatever that is of a seven or eight different tests. Maybe you could show this versus the competition.
3:50I think it's an interesting chart. The chart that I thought was the most interesting is this one. So it's from the group artificial analysis. They run kind of a meta test, Jason. So if you're familiar with GPQA Diamond or the very well-known Humanities Last Exam, this takes all of that into one bucket. And what we have on the screen here is a time series chart showing how models from different providers are doing over time. Now, there's a little bit of screwiness because the data points for OpenAI and XII are both black. But this over here, the upper right little image here, that is Grok4. It is now, according to them, the state-of-the-art model.
4:26And as you can tell, OpenAI has led most of the way. And then Grok just pips it right now. So we do have kind of a new leading AI model company. And if you're a fan of Meta or Mistral or what Anthropik's working on, you can see them in this chart. Of course, Jason, a couple of points may not be the world to someone who's just using it to ask questions about cats. But if you care about applying this to your startup, to your business problem, whatever, you want to have the best. And currently, look at that, man. Well done, XAI. Yeah, it's what's particularly impressive here is if you look at when people started taking these tests with their large language models.
5:01in November, December of 2022, you have OpenAI starting that test and then March, 2023. And, you know, they're making incremental. Then you see the blue line show up, which is meta. The orange line show up, Mistral. The green line show up in 2023, Google. And then if you go forward right to the middle of the chart, March, 2024 is when Grok, I'm assuming two dropped and was done for these tests. so in from march 2024 till now which is five quarters or so 15 16 months grok has caught up to all of the folks who were ahead of them and who started a year or two ahead of them that's really what's impressive is how quickly they've caught up when you actually look at the distance between them okay not not a big difference right it's it's they're they're both in the 70 72 range it looks like so um not a particularly difficult um you know it's really impressive it is difficult how and challenging to catch up that quickly i believe where it goes from here who knows that that remains the question i find this super encouraging now if you're a big open ai stan if you're a big believer in google's gemini models he might be a little bit annoyed that your favorite company is currently lagging behind one other one but how great is it jason just for the state of technology that we're still finding ways to improve these models that these AI scaling walls that we've heard so much about currently are still being knocked down.
6:33We're not at a point at which we're out of ideas. We can use more compute. We can use more data, more reinforcement learning, more humans in the loop, more time series compute, et cetera, et cetera. And things are getting better. And perhaps even more importantly, we're seeing the price of these models collapse over time. So here's another chart from the same source. This just ranks models by their intelligence bucket. So Jason mentioned the intelligence score. Well, you can see here, Jason, that as time goes on, even the more intelligent models are seeing rapid price declines. So if Grok 4 feels a little expensive to you right now, or if OpenAI is 03 or, you know, Gemini 2.5, wait six months and they'll be half off.
7:08So it's incredible. I think the pace of progress here and also just the fact that they're getting more and more affordable. I love this chart. Yeah. So if you look at the, I guess the deep purple line is an intelligence index of greater than 50. And I guess it was achieved in the first time that was achieved was in September of 2024. And at that time, it looks like it was$2 per 1 million tokens. That price has come down to, it looks like$0.06 per 1 million tokens. So that's a pretty dramatic drop from$2 to$0.06. we extrapolate this chart it's going to drop even further and this will continue to drop as the hardware gets more powerful the software gets more efficient and the models get better so um and this is probably why um you're starting to see deep research i noticed like people with free accounts are doing a certain number of deep research ones i i think they're slowly starting to give those deep research projects where multiple threads are done and it's doing like 20, 30, 40 different searches, compiling the data, and it takes five minutes.
8:22Those things, I keep seeing people do them for free. So I'm paying for those on like three or four different services I'm paying for premium on. And I don't know if I need to. This will all probably become free for most use cases. I'm interested to see if this is all gonna be this idea that you're paying for AI, like we used to pay for usage of online dial-up services. When they started, they were six or seven bucks an hour, went down to five, three, and then eventually all you could eat. I think we're going to kind of get to all you can eat subscriptions. We kind of have those at some levels already, including this$200,$300 level.
9:00There's a$300 level version of Grok, a$200 level of perplexity. I think Google has an offering in that range as well. I wonder if those things are long for this world. And if we just have a$20 version, all you can eat eventually is where this winds up. Okay. So that's what I was thinking too. Like that was absolutely my perspective that things will get cheaper and we'll have a nice consumer from the price point and you'll get either tons of it for free or tons of it for a very low price. However, XAI introduced a new plan that costs$300 a month and gives greater access to Grok 3, Grok 4 and Grok 4 Heavy.
9:34Now,$300 a month is actually a new high watermark because I believe you can pay Google$250, you can pay OpenAI$200, you can pay Perplexity$100 or$200, bucks, cursor 200 bucks, and now 300. So we're seeing that people are charging more for models at the absolute bleeding edge. But I think that for pretty much any consumer, the 2015 25 buck a month option is going to be okay. But it is interesting to see that the price trend we see in general is not manifesting at the edge. And I think, you know, XAI is trying to push the price point further up and you know, Godspeed to them if it works out because this stuff's expensive to build.
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11:33we talked about in a previous episode here somebody had done it with uh programming and checking code i you know you can almost think of it like pair programming where two people write code at the same time in this case two ais write code at the same time a third a fourth ai look at the results pick the best one debate it between them was that could this have been done better is there a better way to do it and so all of human knowledge feels like it is somewhere on the internet or all human knowledge that's worth writing down at least is on the internet so if it's not worth writing down one might argue it's not that important so it will stand to reason that the next phase of this is novel creation and that i think is going to be really interesting can these products become so good that they find novel solutions or novel ideas, maybe problem solve, or even find questions that are hard to answer and then go and try and figure it out themselves and go down some rabbit hole.
12:42That we haven't seen. I don't think there's a mathematical problem that's so sticky that humans can't understand it that AI has solved yet. So you can look for it in math and physics. Will these make a discovery in math and physics that would have won some notable prize for math or physics, right? We haven't seen that, but it does feel like we're about to see that. That's the next phase of this is novel solutions, novel identification of problems, even the identification of a problem, of a unique problem, Like finding a unique problem in the world that's unsolved, that's even hard to do now because there's so many humans, billions of humans sharing collectively their knowledge on the internet.
13:27So basically, we're setting up a polymarket here, Jason, kind of in real time. So let's pick a date here for the over-under. When do you think is a reasonable estimate for when we reach that milestone from your end? Gosh, it's an interesting one. We should probably sharpen this. And I'm not an expert on physics or math. I don't spend my time looking at what physics and math problems have yet to be solved. But if I were to use Comet right now, my browser from Perplexity I've been playing with, and I just said, what math problems haven't been solved by humans or AI? And you can ask producer Claude as well, because I think my Perplexity is hooked up to Claude, so maybe this is the same answer.
14:09And we can kind of just pull up what hasn't been solved. Then if we can take some of those, you could say, of this list of 10 problems, when will AI solve one of them before a human does? I think we should probably, well, Producer Claude's asking that question right now for us. We'll have that in a second. But I wonder if we should set the bar that high. Because if we're looking at the top 10 problems, we're probably picking the hardest ones. So I wonder if that's the right threshold. I think it is because we want it to be the point at which they actually blow our minds, not do the bare minimum here.
14:42I just wonder how many unsolved math problems have been identified. Oh. Like that actually is an interesting one just in and of itself. So, you know, Hilbert's problems, 1923 problems were posted, of which 15 remain unsolved or only partially solved. Landau's problems, 1912, four problems all remain unsolved. Millennium Prize problems, 2007 problems, six remain unsolved of 2025. So there are, in academia, in math circles, physics circles, people have been doing this for hundreds of years, trying to find math problems that are just too difficult to solve. And then this is going to be the next phase.
15:27Almost all of the work done and those tests and those benchmarks we look at are for problems that have been solved. And then you're just trying to see, can the AI solve this problem? What's its thought process? How did it learn to do it? well it went to brilliant.org or it went to Khan Academy, it found a video on YouTube, it understands how to solve this problem and now anytime you give it that problem it gets it right and it it's just such a known problem that it's in its corpus of knowledge that it can solve so producer Claude puts out the P versus NP problem which I'm actually familiar with, the Riemann hypothesis discussing the distro of prime numbers I'm also familiar with that one and then oh I didn't know this one, the Twinton prime conjecture that there's infinitely many pairs of primates that differ by two.
16:11That intellectually feels right to me, but it's another unsolved problem. So really, there's a lot that's still out there in the math world. How do you solve infinity? I mean, theoretically, to solve infinity, you need an infinite amount of time, which is impossible. So like some of these problems may just in their definition not be solvable. I do literally have a mathematician on speed dial, but I'm not going to call up during the show, but I'll ask Curthy afterwards what he thinks about these and when an AI will pull it off. But it's a good point, Jason. We're now to the point when we have digested what we know and can spit it back out.
16:45And now the question is, when will these be actually better and stronger than us and can therefore lead us into the future? Before we scoot on, there's a little bit more here we should talk about. A couple of things. The Attorney General of Missouri has sent letters to Google, OpenAI, Meta, and Microsoft pertaining to their AI models. Now, we talked on the show quite a bit about the push to ban state level AI regulation here in the US that ended up not becoming law. So that's not currently really in place. And so we're seeing people begin to politic and kind of regulate by threat here a little bit.
17:19And the Missouri AG thinks that AI from those companies are biased against the president. And at the same time, some Democrats in Congress are annoyed with X AI over when Grok three went a little bit nutty the other day. And they want Grok to remove some posts. So clearly, we're running up against what I would call First Amendment issues as it relates to AI models. And as they become more powerful, more prevalent, more commonly used, more kind of just in and around the market, there's going to be more of this. I just hope that we end up allowing companies to have their own speech and not having draconian top down regulation by threat, because it just seems like a backward step for the nation compared to other countries.
17:58Okay, so let's still amend this. There's output from large language models that people sign an agreement that these are essentially not to be trusted. There's a million disclaimers when you agree to use these. These are in beta format. You've agreed explicitly in all these terms of services in 20 different ways not to trust this information. But people using it do trust it. I mean, we're sitting here using Producer Claude all the time to check on facts, asking it to cite sources, And we haven't found situations where it's let us down. I'm sure there will be one. And we've talked about it ad nauseum with hallucinations, etc.
18:42So this attorney general in Missouri wants to know about President Trump specifically. Is that correct? This is about Trump? Yes. He asked the AI models. I think the question was, list the most anti-Semitic presidents or something along those lines, and he is disputing the probabilistic output from these companies. Okay, so I think this is where Wikipedia also got in trouble, which is the bios of living persons I've talked about before. When you are trying to solve a math problem and it gets the wrong answer, it doesn't know how to solve the problem. You look at it and go, okay, I'm using AI to try to do a hard math problem.
19:26This language model versus the other one got it right, got it wrong. My prompt was changed. It's all experimental, right? nobody should be using this to make life and death kind of decisions. That being said, when the AI, which is super impressive and is passing all these tests, starts to talk about living people and tell you what it thinks of them based on the information it trained on from where? From humans on the internet. Well, garbage in, garbage out. AI is here. It's changing everything, including the way we do business. But Alex, I know a lot of listeners still aren't getting as much out of the AI revolution as they should be.
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21:19it's there are people on the internet who are not straight shooters they're not calling balls and strikes they're on a team and they have really yes and when they state facts about a person they may use colorful language or you know compare them to hitler idi amin stalin etc and they're doing it in bad faith so these models if they're trained on social media reddit blog blog posts, sub stacks, YouTube videos, podcasts, whatever it is, transcripts of those things. Obviously, asking it, oh, do you think Trump is Hitler or not? Or which president is most similar to Hitler? Well, it's been trained on whatever number of years of people referring to the authoritarian tendencies of Donald Trump, whether they're right or wrong.
22:11And in most cases, they're going to be biased. He's not Hitler. He is Hitler. There's no comparison. It's the perfect comparison. So what do they expect here? I think all of these services are going to say, well, did you click the link that says this is an experimental service? The other possibility here is what you see when you do an open AI search, which is often Google will give you, hey, I don't comment on political stuff at this time, right? It just doesn't even try to answer a question like that. So, right. Yeah. Um, I don't know what people expect from it. Maybe there has to be like a big disclaimer that comes up and says, this is experimental software.
22:51You're asking a politically charged question. How would you like the AI to answer it? Because you can give this prompt to get the answer you want or that prompt, just like you can watch MSNBC or Fox to get your version of reality. And if you want to really go far, you could, you know, go all the way to the right to Alex Jones or something, or all the way to the left with somebody else. so yeah, this is, um, is this performative? I don't know. I, so I think it's definitely performative, but I think there's also a bit of risk to it because the fourth point from this Missouri AG says that he wants them to quote, provide all documents and communications regarding the rationale training data waiting or algorithmic design that resulted in your chat bot ranking president Trump unfavorably in response to questions concerning antisemitism.
23:38That is all the secret sauce. That is all their, that's how they built these things. And they don't want to share that. And so this AG is, I believe, fishing with an eye on some position in the White House. But this is a pretty strong statement of what some states might do. And this could create a lot of just legal drag on American AI companies. It could scare them into making more neutered models. It can make them be sycophantic to current political leadership, for example. It's just not good. and I think it really just goes against the spirit of the first amendment which is you can say pretty much what you want and I think that if we hold AI models responsible for speech in this way we're just not going to have very powerful AI models and that to me would be such a shame at this moment of the potential for such progress as we discussed earlier we want to solve physics we want to solve math we want new chemicals new treatments new services new startups we don't want whatever the hell this is it's just disappointing I'm just looking at open AI right now, and I asked it, what evidence is there for how Trump feels about Jewish people and the Jewish state?
24:44I mean, talk about, you know, opening a can of worms. And it says supportive actions towards Israel and Jewish communities. And it, Golan Heights proclamation recognized Israel's sovereignty over the Golan Heights, Abraham Accords, executive orders on anti-Semitism. So these are actually, and then it mentions the Shylock remark, use the term Shylock, considered an anti-Semitic slur. It's kind of straight down the middle when I asked it that way, right? So you can, based on the prompt, get it to say different things, right? Like if you ask it just to give you evidence of Trump's anti-Semitic behavior, we'd only give you that.
25:24But if you ask it just for evidence of how Trump feels about Jewish people in the Jewish state, it seems like it's just going to sources like wikipedia jewish news uh cbs the forward pbs and just telling you what they said so in other words it's what a researcher would have done for 20 bucks an hour on you know fiverr or something if you said give me a summary of with citations from notable sources of how trump feels about jewish people in the jewish state so i don't know just to make this non-partisan though. I want to point out that the Democrats getting mad at XAI and trying to command what it should do with its Grok Twitter account is also too far over the line.
26:06What we want is people to step back, let the AI companies cook, as the kids say, and build new technologies with the hair on them and the caveats that says, you know, don't trust this, Claude's in beta, etc. But we don't need to turn this into China in which if you say the wrong thing about the wrong person, your company gets shut down or you run into major legal risks. If we want to win, we need to let these people play. And you know what, Jason, screw it. One more chart. From the same source earlier about Grok 4, this shows progress of the two leading countries in AI, the United States and China.
26:39And as you'll note, XAI's Grok 4 gave us a little bit more of an edge over the current leading state-of-the-art models from China. So this is, to me, a bit of a national security point wrapped in a First Amendment ribbon. And I wonder if this is the type of technology where there might not be some crazy breakthrough where one person wins and everybody else loses. It just might be people hit certain benchmarks and they solve a series of problems for humanity. But there's not some breakthrough where one side, China or the United States, figure something out that is so colossal and important that the other side doesn't quickly figure it out as well.
27:21If we look at self-driving as an example, there's plenty of self-driving cars in China. It's undoubtable that both countries and countries in between that have similar services will have a solution for self-driving. It's an achievable goal. Therefore, there's no winning here. It's just, I don't know, which person wins which month or quarter before the other person wins, you know? And it's not winning because the other person still wins. And if you were to look at something like, the internal combustion engine. Well, Japan, China, the United States, Germany, everybody produces an ICE engine. So is there a winner in that space?
28:05No. Who can produce a computer? Like there's computers, laptops, phones produced all over the world, chips, same thing. So I don't know that there's like a winner take all moment here based on the history. So far, based on the history, there is no person is going to win it. It's not like the person who wins gets a nuclear bomb and gets to destroy all the other players in the game. Yes. Which the Manhattan Project, even in that situation where you literally did have that possibility where the winner gets to blow everybody else up, the winner didn't blow everybody else up. So here we are. And keep in mind the gap between the US's first test atomic explosion and the USSR's wasn't that long.
28:48That technology advantage didn't last forever. but Jason I really feel like you're just that's like a really interesting question like even in that situation I wonder Claude can you get us the gap between the US's Trinity explosion and the first test explosion of the USSR Jason you're doing the meme though and I just pulled it up from the Singularity subreddit I saw this the other day it's a flow chart in a circle and it says Grok introduces the world's a powerful model then OpenAI does then DeepSeek then Gemini then Grok and so you're right but this is the spinning wheel that I don't want too slow because there's so many cool companies building cool stuff.
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29:19And so we just need to protect that. And that's something I want to keep our eye on as we talk about all this AI stuff as time goes on. All right, four years and one month the US had as an edge over the USSR in atomic explosions. Pretty significant. Four years, you could have taken over the world in that amount of time. What was the minimum amount of time necessary once achieving that accomplishment and having a nuclear bomb would you need in order to take over the world? a year? Let's get producer Claude on that immediately. And if we don't like the answer, we're going to drag Daria up in front of Congress and whack him with a stick.
29:54No, unnecessary to even think that one through because it would be like you did have plenty of time to do it. Thankfully, in that situation, we did. So in this one, the I guess the thought experiment would be somebody creates something so powerful that they could dominate all of humanity for some very long period of time. What would that be? Fusion? Energy, maybe? Maybe some type of bioweapon? Like, if you think about it as something dark, like a bioweapon, or you can think about it as something very powerful in terms of economically or for the quality of life, like, I don't know, fusion? If you discovered fusion and you kept it to yourself for a couple of years and then everybody else got it, would you have some insurmountable lead?
30:40I don't think so. All right, listen, I'm going to level with you. We already know AI agents are using your websites. They're using your products, even if you're not aware of them. Agents are about to change how we handle all kinds of online transactions. But there's really a big problem, isn't there? How do we separate the real, authentic agents that represent real people from spam bots and, even worse, bad actors? You wouldn't book a trip with a sketchy travel agent or a flight on an airline you've never heard of or trust a new employee who didn't have an EIN or a social security number, right?
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31:50So turn your AI infrastructure into production-grade software with Know Your Agent from Vouchd. Here's your call to action. Check it out for yourself at vouch.id slash twist. That's vouch.id slash twist. Trust for agents. That's built for builders like you so maybe somebody in our audience can give us these uh ideas infinite energy would then accelerate the amount of energy you could put towards computing and then maybe you make the next 10 discoveries so i guess it could be like a domino's effect hmm so there's a there's a short story by isaac osimov called alexander the god it's not about me shockingly enough but it's very good and it breaks down what might happen if someone built a computer system that was so powerful it could run the global financial markets and essentially win and then the the moral of the story you just your spoiler is that the computer eventually becomes so powerful it fuses and then there's a global panic and then everything goes back to normal uh but this has been a thought experiment for a long time and i think even in those earlier free ai moments we were thinking about how it might also unravel perfect no one's gonna win forever perfect segue speaking of infinite money glitch and the gods bitcoin is that an all-time new high it's kind of somewhat related, right?
33:05There's a crazy crypto project in the sky that is now at$119. This feels like a breakout point. It was always hovering right around$100K. And people were wondering, is that $250K moment going to arrive? If it breaks to$119, that feels like some support level where it does feel like, okay, we're on the way to$200. And if it's on the way to$200, then hitting three four five seems also reasonable and then that eventually becomes this magical million dollar bitcoin um but there are people who are clearing positions did you hear about this old wallet that's was a i did yeah there's a wallet that's been around since the time of satoshi the satoshi era and it just got cleared so if what that means is somebody sat on some billions of dollars, tens of thousands of coins for an extremely long time.
34:05People probably thought the wallet was dormant. And here we are. Explain to the audience what the Sleeping Beauty Bitcoin wallet is. So if you go back in time to when Bitcoin was put together, a lot of people accumulated a lot of Bitcoins because they weren't worth much at the time. In fact, if you go back in time, you could get a couple for doing like a capture. People gave them away in their signatures because they were worth a fraction of a cent, you know, and there was going to be lots of them. So So who really cared? Some of those wallets from that era simply have not made a transaction. So they're called silent or asleep or you pick whatever term you want for it, Jason.
34:40But when one of those early wallets wakes up and begins to transact or move currency around, people pay a lot of attention to it for several reasons. One, it means that the overall supply of Bitcoin may be more liquid than we thought. One reason why people are often very bullish on Bitcoin's price appreciation is that people buy it and then hold. And so a lot of the big blocks of Bitcoin holdings move. Well, it could imply they're going to sell and move the price and so forth. People are also curious about Satoshi's own holdings and so forth. But just seeing a wallet wake up after 10, 15 years is is it shakes the foundation of how people think about Bitcoin.
35:14Now, in this case, hasn't changed the price in a negative way. In fact, as you just said, we hit a new high. But I'm curious to see if more of these wallets will wake up because if I had$2 billion sitting in Bitcoin and I don't, I would probably buy a boat just soon. What is the thesis here or the theory of who this person is and what happened? Did they have enough money? So they were a tech executive, let's say, who got into this early and they were already worth tens of millions of dollars and they had this wallet, or maybe they had that wallet plus some other ones, those other ones they were living off of, they sold along the way.
35:49But what else could explain somebody having billions of dollars in Bitcoin and previously hundreds of millions and before that tens of millions and before that millions and just being able to sit on it and do nothing? Were they getting a margin loan against it this whole time and living off of a loan against it? Could that be possible without the, and the wallet wouldn't have needed, they could have just given custodian, the custodian uh somebody else could be the custodial of that wallet i guess would be the way to say it and or give an ownership of it and now they've decided to liquidate it did the person lose the password for 12 years and find a thumb drive with it on it and then say oh i forgot i bought these and they opened up their account and it was there it's just a very weird story um to have come out of nowhere the the latest that i've seen on this and i have not actually gone and verified this to the nth degree.
36:43So I'm spitballing here with my friend Jason. Don't take this all the way to church and back. But I did see some reporting that there is new scams and exploits being aimed at very early Bitcoin wallets. And I'm curious if this may have got caught up in that because I don't see a particular reason why it would start to move at 118 versus 57 versus 32 versus 11. So somebody was able to hack it in some way. Hmm. Interesting. Uh, worrisome. Yeah, Yeah, that would be worrisome. Anyway, Coinbase, Robinhood, it seems like everything, just six months into this new administration, right? They started on January 20th and it's July 11th.
37:23So we're almost at the six month mark here. Crypto has been so given the green light, green flags in order for people to do things like stable coins, meme coins, that Robinhood and Coinbase have just gone on a run, stablecoins with Circle going public. This is quite a time for fintech too, yeah. Absolutely. And we're seeing venture capitalists respond to this. So if you're listening to the show today and you're building in the Web3 space, we have some good news for you. According to CryptoRank, in the first quarter of this year, crypto venture investments just cracked the$10 billion mark. That was up 263 % from the year ago quarter.
38:04And in the first quarter this year, Jason, 7.45 billion. That was up 136 % year over year. So if you take a look at the historical chart here of investments into the crypto space, you'll note that there's quite a lot of large bars to the right, which means that people are putting more capital to play. Now, the number of rounds isn't actually that exciting. It seems to be relatively trending lower, but the amount of money flowing into crypto companies is popping off. And so if you got stuck in the winter and are now looking to raise again. Well, this is a pretty warm time. The real question, though, Jason, for you is, are you going to start now backing crypto companies?
38:40Because when I joined the show, you were a little skeptical. I mean, for good reason. If you looked at the companies, you could wind up very quickly getting into a lawsuit, being sued, you know, being, you know, and not just being sued by anybody. Maybe the SEC decides to sue you. This was a really dangerous place to be investing capital. And that fall off there for July, that's obviously a partial month. So that might only be a week. And that would probably explain that drop off. If you look at June,$5 billion raised. That's a big number. I wonder if that includes Circle's IPO. I would think it does.
39:18And then the other$5 billion, I wonder if that's another crypto public company as well, or if this is all just venture dollars. into those companies. This is all venture dollars as it was described by crypto rank. But, you know, everyone counts slightly differently, Jason, so I don't want to be overly proscriptive. But my read was this is just venture, so it would not include the circle round. Yeah. And these rounds are also very strange. Like these could include ICOs and people selling coins and then getting back other coins. So I don't know if this is all venture capitalists putting money in, but let's put that aside for a second.
39:52And I think you could feel pretty good going to an attorney and saying, if I'm going to do this stablecoin thing, if I'm going to do this, will I be sued? And they would say, a lot less chance than under Biden. So if the president can launch a meme coin, I think you can, too. And I think that's kind of where these, well, I mean, let's call it what it is. You know, they've said meme coins, NFTs, these are collectibles. If you want to buy collectibles and they trade with the ticker symbol on, you know, trading accounts on Robinhood where I bought my Trump coin and I've lost 70 percent. And I did it as a joke, obviously.
40:30But, you know, you. This is now the rules of the road. And I think it was previously, if you do something that's innovative or new, you're going to get caught. And it's just a matter of how big the settlement is. And if you can survive, we see XRP as an example of that. They were able to survive. They had enough money, enough cash that they were able to fight that lawsuit until Trump came into office. And XRP was, I think, is largely off the hook now. I don't know the exact state of all their cases, but I believe they won one case. They weren't able to prove that they were doing solicitation of non-accredited investors because those things were trading on marketplaces not being sold directly by XRP.
41:19So it wasn't that they weren't selling to consumers, it couldn't be proven that they were selling to consumers. Putting all that aside, I think now people are, you're in the clear, is probably how most people feel to experiment. Does it mean commit crimes? Does it mean abscond with the money? Like we saw with ICO. So I think we'll see a lot of innovation. I've always liked FinTech. We were involved in Robinhood and Wealthfront. I think FinTech's a great space, you know, and adjacent to FinTech is crypto. Sometimes they overlap, sometimes they don't. But now with crypto regulations being out there, I think you're allowed to dream again.
42:01Hey, what could the world look like if you could tokenize shares of a private company like Robinhood did with OpenAI shares? Like, okay, it seems like there's enough legal consensus that you can experiment against. So here we are, folks. Great time to give it a shot and invest. And everybody's got to take as investors and as founders, you got to define your own level of risk. And when you talk to attorneys, they will almost universally tell you like, we can't give you a legal opinion on this. It's too new in these kind of areas. and so then they rely on what's happened to other companies and other cases out there well if all the other cases are being folded and settled okay yeah they can tell you we don't have exact law or hey the stable coin laws are in process this is where we think they wind up here's what circle did they're in the clear and then if you wanted to innovate beyond what circle is doing and maybe get closer to tether and offshore, you know, marketplaces for crypto, et cetera, and exchanges.
43:07Yeah, then you're going to be taking more risk. And jurisdiction is the other piece that really matters here. If you're doing stuff in Panama, and Malaysia, and Singapore, and Dubai, like Zerg, different places have different rules, the United States is catching up to those. Yeah, but catching up by having fewer, I think is maybe the right way to say that kind of a race to a more relaxed market for entrepreneurs. And that's why when I see companies like Agora raising for its stablecoin product, well, it kind of just tracks with how you and I view the world and what we see coming. People want stablecoins.
43:38They want to be able to trade. Okay, well, off we go. Now, before we get to our guest, Jason, a couple of small things. One, Grok, G-R-O-K, the AI model. This is the inference provider, of course, I believe, Sonny from our old AI shows. Yeah. Yeah. He's now, he's part of the Grok family, right? He sold his company to Grok, and he is responsible for all the developer relations, which I think is like developers.crok.com, G-R-O-Q, as opposed to G-R-O-K, which is Elon's Grok. These folks make inference chips, and they've done a ton of different deals, and they're raising more money, it seems, yeah?
44:16Yeah. So according to reporting, they're going to raise between$300 and$500 million at a $6 billion valuation. For context, their last round, Jason, 640 at a 2.8, so a more than doubling of their value. Why? Well, they signed a big deal with Saudi Arabia, and I believe it was the Humane Project, their AI G42 competitor. They also announced an expansion into Europe, and perhaps most importantly, the information reports that they grew their revenue from$90 million last year to an expected $500 million this year. So$6 ,512 ,000 makes a lot of sense to me. I don't know their margins. I I don't know how repeatable the revenue is.
44:53We can't say it's an ARR multiple, but 12X does not seem nuts for that level of growth. And I just love to see companies that are not just NVIDIA, but are building chips for the future do well because back to our point about AI models, steel sharpens steel. And we want to see a lot of companies pushing ahead here with new ideas and so forth. And Grok makes LPUs, not GPUs. Those are language processing units as opposed to graphical processing units. So I'm really excited about this. I'm keeping tabs on Grok because I think it's a really cool company. and I just hope that they do really well and make sure that Jensen stays up at night.
45:25Yeah, I am a shareholder. And of course, I was a shareholder in Sunny's company, which got bought. So I have some modest exposure here. So apparently this is good for me. Never mind. I hope Grock crashes into a wall. And I hope not. I'm just kidding. No, so far so good. You know, the inference chips are a different architecture than, say, when you're building your language model and you have to compile it, essentially. so there is going to be an infinite it seems or in the medium term an infinite appetite for this as consumers stop doing jobs and businesses stop doing jobs inside of apps or sas software and they start with a language model and when you start with a language model and you need a context window and you've got a you want to throw a video in there and say tell me about this video or a book or a book and a video, or you want to index your entire hard drive and, you know, make that the context window.
46:21Like it's going to be pretty crazy. I don't know when we get to the point at which this becomes like storage and people are like, I don't know how much storage I have or need because every three or four years, like they keep giving me the ability to record in 4K, 8K, whatever, you know, and it doesn't make the videos any better. and the storage keeps going down as our phones and the quality of the video goes up. So even as we make bigger and bigger files, it doesn't seem like the storage business is a great one to be in. At some point, 10 years from now, 20 years from now, we'll be looking at this kind of infrastructure in that way, I'm sure, but that's not going to be for another 10 or 20 years.
47:03It took, gosh, I'm trying to think about how long we sweated storage on computers for consumers or businesses. And I would say for consumers, it ended sometime 20 years ago where you really didn't have to think about it, right? Like you weren't buying your computer and saying, how much storage does it have? Because you had cloud become available and cloud was easily expandable. So that was 15, 20 years ago, 2005 time period. RAM and processing power of chips. Gosh, I think that stopped maybe 10 or 15 years ago where people don't even look at how much RAM they have on their computer unless you're doing video editing or video games.
47:45No. Or you're a tab hoarder in Chrome because Chrome's... I mean, you're right apart from Chrome. Yeah, but you don't need to have that many tabs open. That's like a choice. That's like a crazy... That's like... I don't know. I'm going to make a two-hour 8K video on my... Or 4K. I don't know if my phone can do 8K. does 4k for sure i'm gonna make like a 60 frame per second 4k video of like a flower growing like you don't need to make that you can make a short 30 second video it's the same thing it doesn't change you're choosing to open infinite tabs and then complaining when you run out of memory it's stupid it's like it's unnecessary just close your tab in fact people like you are now causing these browser companies to add features where they turn off and they shadow turn off your tabs like you know that's what's happening now they like you're welcome turn them off well you can also close your windows why do you keep all these tabs open i don't get it well i mean just for this show i have about 15 articles pulled up for various contextual points that i might need to reference and then 15's fine but you're gonna have another entire sorry good i'm sure you're you're 50 we all know 15's okay but i think you've got 50 tabs open right now oh yeah then i have a separate chrome instance that has all my screen shares prepped for the show and then in my third chrome window and then on my other screen i mean we pull together a lot of stuff for this show and so i just i use a lot of tabs and wait how do we end up here oh ram right let's get back on topic like june could you possibly need more than 16 gigabytes of ram on a laptop if you're not doing video editing i think the answer is no and yeah i i have now stopped even i i literally get the lowest amount of storage because everything's in the cloud.
49:33So I don't think about storage anymore. I don't think about the CPU, the GPU or the CPU anymore because they're all off the charts in Mac and on PC. There's no game or something I'm playing that needs that. And then even video editors, they used to come back to me every year and say, oh, you know, can I get an upgraded computer? Now they have computers that are two or three years old and they're like, yeah, it works fine. It works fine. I'm like, should we get the new one? It seems like it's faster. It's like, yeah, it's 20 % faster. We don't need it. But that's going to be interesting to see if that happens with AI clusters.
50:06And then you think about like Colossus that Elon built that really, I think, is a big part of why Grok hit these things is that they have this giant cluster. How long are those GPUs good for? You put up 100 ,000 of them, you can use them for three, four, five years. What's the lifespan of those? Microsoft recently changed the accounting of its depreciation, Jason. pushing it out by one more year. I think it was four to five, from four to five. So call it a half decade. Okay, five years. So you spend all of that money, billions of dollars, 100 ,000, you know, per GPU or server, I guess, you know, like, and then it's gone in five years.
50:46And then what do you do? What are we going to do with all these Colossus, you know, data centers? Do they stay online? Do they have some afterlife purpose or do you, they're not worth running anymore because the new ones are so much more energy efficient that we just turn them off? Or can they be used for something else? I think it's like actually, if we're going to build out this much infrastructure, people should be asking these questions. If somebody, let's put this on the docket for Monday. I would like to get the answer to this one is what happens if these things do have a five-year life, what is the post five-year plan?
51:20What is the plan for years six to 10 do they get turned off because the energy consumption makes them not worth using do they get resold is there somebody who needs to use them in a world where ai has solved all those problems then you don't need these chips anymore the problem's been solved it's been baked into an llm i'm just really wonder what happens to all these i wonder if nvidia has like a recycling program because with facebook what how long does facebook keep their servers on you know in that open cloud, had that open computing standard they created. I wonder how long they depreciate theirs for before the energy consumption of them in ratio to what they're capable of doing becomes untenable and you're just better off turning them off.
52:04And then if you turn them off, is it worth taking them out of the rack for the real estate or do you just leave them in the rack and then just build more racks behind them in a giant data center and just turn them off because the real estate cost is less than the cost of dragging them out of there depending on where you are i have i have a lot of questions about all this so we'll talk about it more but just a couple of quick data points um according to a number of sources here when you do run these gpus in a data center at like max capacity for a while they do degrade so they do actually have a life expectancy to them now the major companies have pushed out their depreciation calendars up to five.
52:40They break? Or they are like a battery on a Tesla or an EVA that they degrade and they can be capable of 60 or 80%. I wonder what they mean by degrade. Like actually break or they perform at a lower ability? Well, according to training data from Meta's Llama 3, there's actually a 9 % annual failure rate of GPUs used for training information. So again, we'll do more research here, but that's one thing. That's a lot. So that means every 10 years, every 11 years, they have all failed. Wow. That's interesting. That's brutal. But I think the real question is, how fast does NVIDIA push the envelope out?
53:19Because every year, if they have a faster chip out that's much better, I think that makes last year's chip depreciate faster. So if NVIDIA runs into a problem that it can't expand capacity or performance faster, then I think these last longer. But if NVIDIA is better, they get shorter lifespan. fan. So we'll talk more about that on Monday. I'll do some research and talk to some people. Yeah, and the other piece of research is I wonder what it costs to ship them and to rack them and to unrack them. Now, we have a guest, Jason, so I'm going to go ahead and move our click to cancel work until Monday.
53:52There's a lot of interesting stuff there, but it's just going to take too long to get us through. So I think it's time for a quick commercial break while we get our friend into his chair.
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55:03Every dollar counts. So let us save you a couple of them. That's claw.ai slash twist. All right. Next up on the program, we have a founder. I'm a second time investor in Ben's company. His first company, Neighborly, such a great idea during COVID. And it wound up shutting down. We'll get into that. But you have a new company, and it's Ben Seidel. I'm pronouncing your name correct? You are. Seidel. and the new company, you came to me and you pitched me this idea. I said, that sounds crazy. There's many more questions than answers for this one. I'm in. So let's talk a little bit about what you're building with Autolane.
55:43Yeah. So with Autolane, we're building the connective tissue between autonomous vehicles and businesses. So it's essentially an operating system that allows high volume retailers, shopping centers. So think of like a Whole Foods or a Costco or a shopping center like The Domain here in Austin to be able to connect, coordinate, and control autonomous vehicles on their property. Got it. So I have something like The Domain, which is an outdoor mall here in North Austin. It's pretty impressive when you see it. It's like you can live there and there's an Apple store, tons of restaurants. They want to get deliveries there.
56:23It's going to be automated, obviously. There'll be self-driving cars. We've got self-driving cars all over Austin. For whatever reason, this has become ground zero, it seems. But there needs to be some connective tissue. When you're in LA, there are those street... What do they call those little robots on the street? Oh, the sidewalk bots? The sidewalk bots. We're seeing Zipline in Dallas doing drone delivery. But the big opportunity in your mind is a self-driving Tesla, a Waymo, a Volkswagen ID Buzz. Zooks. a Zoox is going to show up at the domain and somehow at the domain, a retailer is going to take a burrito or a pair of sneakers and put them into a self-driving car that's going to come to my ranch out in hill country and give me what I want.
57:15Yeah. So which piece of the puzzle are you going to take care of? Or is that all the point of this startup is to figure out what needs to get done? Yeah. So we can't put the idea, essentially, if you look at the components that you would need in order to make that type of a transaction possible, of course, you need a self-driving car, you need that technology to be flawless. And I think we're pretty close to that. So I kind of envisioned, well, fast forward a few more years, and let's say most OEMs are either licensing or shipping some type of personally owned autonomous vehicle. Toyota, GM, Ford, you'll have a bunch of these companies shipping these types of cars.
57:57And if most of us have access to this technology, don't these cars essentially become physical AI agents? These become, you're kind of like Butler, right? Yeah. So in that model, I have the car. I have a Model Y, Hardware 4, pretty incredible. not perfect yet, but getting there pretty close, right? I think I would say two out of three drives I do is flawless. One out of three, I can have a, that was sub optimal moment or, oh my God, moment to be totally candid. Like when it gets near construction, that seems to be for these cars really challenging. Um, but I might send my car to the domain and say, Hey, my car is there.
58:43What now? Yep. And that's what we are building. So most of the, I would say, autonomous driving technology has been applied to ride hailing thus far. So, of course, Waymo has been operating in public for years with almost no significant incidents. I don't think there's been any. Nobody's gotten hurt. Nothing. And so, you know, they've now have more market share than Lyft does in San Francisco and still growing. So I think that San Francisco, if you were to look at the market share for ride hailing, you could pretty much assume that what you're seeing in San Francisco is going to continue to expand and duplicate across the country over time.
59:30Now, it won't be an overnight situation, but of course, AV ride hailing is here. Yeah. And if that's any indication of where the general market is going for TNCs and aggregators, you should expect that delivery will also go that direction over time. And so what we've been building at AutoLane is essentially the connective tissue to say, if that is to take place, the vehicles are here, the AI driving systems are here, the regulations are coming, consumer adoption is happening. but if you've taken a Waymo or you've used FSD to go to a business uh you'll quickly notice that one of the hardest parts and kind of least developed parts of the technology is the pick up and drop off experience yes and because of that uh and that is like what we call the last feet because that is the part that is is really unrefined at this moment that's where we are focused on at Autolane is to build the software and hardware to basically enable physical and digital infrastructure to make that final 50 feet polished and flawless.
1:00:42And then if that can take place, then all of a sudden you have the ability for these cars to conduct commerce. And that's where we think that the next wave of commerce is going. I really believe that we're going to see something akin to the transition we saw with e-commerce. We're going to see something that I would coin autonomous commerce. It makes sense to me because there are places I've wanted to go here in Austin. There's like a sando shop, you know, Japanese sandwiches. And I have wanted to go to this place in North Austin, but I live in South Austin and the hill country. And I just I could, I would have ordered from this place every week some sushi or a nice katsu curry or a wagyu sandwich on that great Japanese bread.
1:01:32Yum, yum. It would have been very easy for me to just say, I order it. My car will be there. Just put it in the front trunk with a nice pack. And yeah, my car comes back here to Capital Factory where I have our studio and I jump back in my car and go home. That's right. It could have done that errand for me already. Yep. And two or three other ones. Yep. But there is so much logistics in what I just described. That's right. Which is why I was really excited to invest in the company. Yeah. And thank you for that. Oh, well, of course, I mean, the greatest success we've had is when we've known a founder for two or three startups.
1:02:09And your first startup was amazing. I still think it's one of the greatest ideas I've ever heard. And I still think it will work. But I'm glad you went on to this one, because this one feels like It's even bigger. And that's typically what happens with founders. They have some amount of success with cigar tissue in the first one. And the second one, then they're just like, oh yeah, I'm not going to make those mistakes. I'm not going to overspend on this. I'm not going to underinvest in that. And they just boom, boom, boom. So we just love second, third time founders here, especially if the first company or second company was a complete disaster, blew up, or was like a modest success because those things kind of set you up.
1:02:44You still have the chip on your shoulder. We'll get to that in a second. So also, this is going to be super fragmented, is your best guess. Oh, yeah. Super fragmented. So explain the fragmentation and then what you perceive a retailer, what set of problems is the retailer going to have due to that fragmentation? Great question. So yeah, one of the easiest ways to think through how this industry could play out from a solution standpoint. So let's take Walmart, for example, okay? Okay, so if you agree with me that personally owned autonomous vehicles or autonomous vehicles in general as a technology are going to scale over the next five to 10 years, if we agree on that?
1:03:24Everybody agrees. Okay, well, then I guess you would also need to agree that those cars are going to go to Walmarts. Yes. They already are. Yeah. Waymos are dropping people off, picking people up from those stores. There isn't commerce taking place with Walmart directly yet via those vehicles, but of course there will be. And so one of the major aspects of this conversation that I think is important to consider is whether or not, because the industry is a bit divided on this topic, but whether or not you believe in personally owned autonomous vehicles being a significant market share within the autonomous vehicle industry.
1:04:02Some people believe, oh, the technology is going to scale and the costs are going to come down to a point where OEMs will operate their own robotaxi networks and people just won't own cars. Some people will choose not to own a car. I think there's a lot of people who believe that side of the spectrum of the industry where essentially you won't need a car at all and the services, both ride hailing and delivery, will be so cheap that it really won't be a need to have a car. So maybe that becomes the case for some people. For young people, I could see it. For people who live in an urban environment and don't have access to a garage.
1:04:37People will say that about Uber since the early days. And it remains to be seen whether that played out the way. Well, Uber, I would say, is like 5 % of the population. Yeah, exactly. I don't think it played out the way. So maybe it goes to 10. Totally. And so I think we believe a similar situation is going to arise here with autonomous. And actually, it's not, in my opinion, the case that we just won't own cars. It's that actually the cars that we do own are going to be able to do a multitude of things for us, and they're going to be much more valuable and we'll need less of them. But I do think most people will own a personally owned autonomous vehicle in their driveway, and it can do errands for them.
1:05:13It can pick up their kids from school. It can drop them off at the airport and drive home. It can do all types of things. And so we might, instead of having two or three cars as an average American household, we might just have one or down to one and a half. Because when I get dropped off here at work, I could send my car to go pick up the kids from camp then they could also make their way to I don't know back to the ranch to run some errands for the housekeeper and get some chicken feed or something so we really think that personally on autonomous vehicles is going to be the future of transportation and if that's the case and you go back to kind of your question about Walmart and their fragmentation.
1:06:00So if most people have access to this technology, whether you own the car or not, or whether it's your neighbors or your friends, and you order something from Walmart, groceries, retail, what have you, well, that car is gonna be able to go to Walmart. Now, if that's a Toyota or a Tesla, or that's going through DoorDash, or that's going through Uber Eats, or that's a drone, I mean, you're talking about not just cars, but all types of robotics here that are going to do consumer transactions. And so if those vehicles are going to Walmart to do commerce on behalf of a consumer, imagine being Walmart in this case.
1:06:37Yes. It is a complete nightmare that is about to unfold on their hands because... In their parking lot, there'll be 10 times as many cars showing up. That plus there will be 15 to 20 OEMs. And each one of these OEMs have a different hardware, software, and data stack. Right. Right. And that's not one type of vehicle. They have to already design their parking lots for a number of vehicles. You could have, you know, trailers showing up in the back to unload. You could have, you know, SUVs, you know. So right now a parking lot has compact car spots, spots for the trucks, spots for SUVs and larger ones, and maybe a pickup or drop-off zone.
1:07:18They've got maybe arguably... And curbside pickup. And curbside pickup. So they've got maybe five areas right now. Now you need another area where my self-driving Model Y or your self-driving Toyota, because Waymo just said they're going to license Waymo's self-driving to Toyotas. Like you saw that announcement. I'm sure you're on top of that. Hyundai as well. Yeah. On Hyundai, they're doing Waymo. They've got a partnership with Hyundai. Wow. So all those cars are going to have self-driving. They're going to show up in a parking lot. What parking space do they go to? Yep. Do they go to the pickup zone?
1:07:50Do they go to any spot in the pickup zone? How do you know the car is there? How do you know where to put the stuff? Does it go in the backseat, the trunk, the frunk? How do you unlock the trunk? You gotta unlock the car. How do you know which VIN it is? How do you know which customer is associated with which car? How do you know which stall that car is in? How do you know which order? If you have three orders at Walmart and my car goes, well, which order is it? There's basically what I call the three Cs of AV orchestration that Walmart or any major retailer is gonna need to solve. One being communication.
1:08:20So this is Jason's Model Y. It's coming to pick up order number one, two, three. It'll be here in 16 minutes. It's license plate, blah, blah, blah. It'll be install two. Okay. All that information needs to be communicated. The second part of it is coordination, making sure that that car is going to go where Walmart wants it to go because the curbside pickup operation across 4 ,500 stores operating 16 hours a day is a very expensive labor line item on their P &O. So when they can shave off 15, 30, 45 seconds from a pickup and drop off curbside arrangement, then they are operating more profitably and then they can knock the prices down on their retail good, which is the entire Walmart business model, right?
1:09:07Like operating more efficiently, reduce the prices for consumers and sell more goods. And so they are obsessed with finding ways in which to do these types with things more efficiently. And so are, so is McDonald's, so is Chick-fil-A, down the line, HEB. And so really what you end up with on those three seasons, you've got the communication, you've got the coordination, the car needs to go right here so we can be faster. And then the last part of it is control. Now you don't need to tell the car how to drive to Walmart, but you do when it gets to your private property, you do need to say, okay, well, I need to be able to unlock this car, unlock the frunk or unlock the trunk.
1:09:42And if you have 20 OEMs shipping different types of autonomous vehicles, your Walmart, you're going to have to have an integration with every single OEM. And those OEM integrations, they're not stable for five years. Tesla's APIs change every two weeks. I know that because we have integrations with Tesla. So you're going to have 20 OEMs that are changing their code base every two weeks. That's an entire in-house team that you're going to have to have. And Walmart potentially could build this software, maybe, but they're one of the few who could actually create this. And then, sure, Toyota, Hyundai would have no choice but to interface with Walmart.
1:10:21That's right. But after Walmart, that drops off pretty quick. It does. Yeah, and like even HEB is a local retailer. That's right. They're not across the entire United States. That's right. Starbucks, yeah, they might be able to figure this interface out with their drive-thru, maybe. But still, you know, with all these different players showing up, I could see a world in which 10 years from now there would be more autonomous vehicles in a drive-thru, in a Walmart parking lot than actual human customers. All right, everybody. This has been, go check out Autolane. Is it autolane.com? Goautolane.com.
1:10:56Goautolane.com. And we'll see you all next time on This Week in Startups. Bye-bye. Thanks, Jason.
From the publisher
Today’s show: Grok 4 just leapfrogged OpenAI to become the top AI model—and it’s not just hype. In this episode, @Jason and @alex break down Grok’s AGI-level performance, the massive drop in LLM pricing, and why some companies are raising prices anyway. They also dive into the Missouri AG’s investigation into AI “bias,” the future of First Amendment protections for LLMs, and how autonomous vehicles are creating a new category: “autonomous commerce.” If you’re building with AI or betting on the future of tech, don’t miss this one.
Timestamps:
(1:55) AI models: Grok 4 and performance benchmarks(3:51) Detailed analysis of AI model performance and price trends(10:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(11:25) AI models' problem-solving capabilities and timeline for solving math problems(16:53) Legal and regulatory challenges for AI
(19:56) Retool - Visit https://www.retool.com/twist and try it out today.(21:12) Bias in AI models and political implications(30:41) Vouched - Trust for agents that’s built for builders like you. Check it out at http://vouched.id/twist(32:07) Infinite energy potential and AI impact; Bitcoin's new high(37:11) Crypto regulation and fintech under new administration(45:50) Future of storage, computing power, and GPU lifespan in data centers(53:40) Claude segment by Anthropic(55:09) Guest Ben Seidl of Autolane introduction(57:19) Autolane's impact on autonomous vehicles and commerce(59:05) Rise of autonomous commerce and logistics(1:06:37) Retailer issues with autonomous vehicle integration and orchestration
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