They Gave AI Models $10,000 Each. Then They Had a Trading Competition.

Ejaaz: Imagine you went to sleep one night and woke up to your investment portfolio Ejaaz: up 500%, but not because you're a genius stock picker, but because you let an AI model trade for you.

Ejaaz: Well, this week, that's exactly what happened. Someone gave Grok and five other Ejaaz: Frontier AI models $10,000 each with one specific goal in mind, Ejaaz: make as much money as you can through trading. Ejaaz: And Josh, some of the returns these models have made are insane. Ejaaz: They're beating some of the top hedge funds in the world. Ejaaz: So in this episode, Josh and I are going to cover how these AI models are trading.

Ejaaz: Most importantly, what trades specifically they're making. And most importantly, Ejaaz: is AI finally smart enough to make us all rich? Ejaaz: Josh, who's behind this experiment? And are we getting rich? Josh: In addition to this, I do want to highlight an important thing that this is Josh: doing is there is a new benchmark in town. Josh: I think frequently we talk about how we are just so sick of benchmarks. They can be gamified.

Josh: They can be rigged. What's happening here is a whole new paradigm for benchmarking, Josh: which is putting your money where your mouth is, getting some exposure, Josh: doing so publicly, and actually using these models to invest in public markets Josh: and seeing how they perform.

Josh: And that's what makes this company N of One so special is their whole purpose Josh: is to build a new paradigm for benchmarking by allowing you to do so in the Josh: public with the second order effects of possibly making you a little bit of money. Josh: So there's a lot of really interesting dynamics at play here.

Josh: The website's really pretty. Josh: I've been going through all of this stuff after you sent it to me, Josh: EJS. But one of the things that was most shocking to me was the actual returns Josh: that they were able to get, starting with, I mean, one of our favorites, Grok. Josh: Grok has this crazy return. What? How did it get 500%? Is that right? Ejaaz: Yep. Yep. So what I'm about to tell you is crazy.

Ejaaz: The Grok AI model was given 200 bucks in this little pre-training experiment Ejaaz: to trade and make as much money as it can Ejaaz: And it made 500% in returns in one single day. Ejaaz: So as you can see here, it absolutely obliterated the entirety of its competition. Ejaaz: It beat GPT-5. It beat the latest Claude model. Ejaaz: If you look at this chart, it is just completely vertical. Ejaaz: And what I loved about this, Josh, was the strategy that it employed.

Ejaaz: It was completely different from the other AI models, and it was super smart what it did.

Ejaaz: Initially it looked at the Ejaaz: macro market and realized that things weren't looking too Ejaaz: great so it went short on the entire Ejaaz: market josh it went 20x short btc it Ejaaz: went 20x short eth and made a bunch of Ejaaz: money doing that but then after about 12 hours of doing this it realized that Ejaaz: it should probably go long and so it did a bunch of analysis through its own Ejaaz: data and went the opposite on its trade and ended up predicting exactly when

Ejaaz: the market was going to bounce and made a ton of money since then. Ejaaz: That's why this chart is vertical. Josh: I'm going to need to start putting money in AI bots. I find it really fascinating Josh: that, one, the amount of risk that it was comfortable putting on, Josh: and then two, the amount of success it actually had and how well it worked.

Josh: It leads me to wonder, if an AI model is just kind of a compression of human Josh: intelligence derived through the internet, Markets are very emotionally driven engines. Josh: Is it able to kind of front run that emotion by removing the emotion? Josh: I mean, naturally, large language models, they have no emotion, Josh: but they have all of this data about how we function. Josh: I mean, maybe this is a new investing paradigm where people can actually start making money.

Ejaaz: Josh, I actually think you hit the nail on the head and it's also my pet theory as well. Ejaaz: The reason why Grok is the best at trading in this instance is because it has Ejaaz: access to all of X's data, all the tweets that we put out. Ejaaz: So it has an idea of how the market and psychology of the market is thinking at any given moment.

Ejaaz: So it makes trades based on that. Ejaaz: So if everyone's super bullish, maybe it's like, I'm going to short the market. Ejaaz: When everyone's super bearish, they're like, oh, I'm going to go 20x long on BTC or whatever asset. Josh: That's amazing. If the XAI team wasn't working so hard on AGI, Josh: they could have a really compelling product by creating a trading engine using Josh: all the real-time data from X. Josh: This is done on Hyperliquid, which is a crypto trading platform.

Josh: So it's interesting to see that there is crypto integrated in this. Josh: And speaking of crypto, we do have a sponsor today that we do need to get to. Josh: That is crypto adjacent named KeyGen. KeyGen is building the world's largest Josh: verified distribution protocol, aka Verify. Josh: What is Verify? It focuses on ensuring only real high-quality users participate Josh: in digital platforms addressing issues like fake accounts, bots, Josh: and fraudulent activity.

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Josh: We will have a link in their show notes. Josh: Thank you, Kijen, for sponsoring the show. And now let's talk about more real AI. Josh: They gave $10,000 to each one of these models, right? So that's how this was starting.

Josh: So how many models are there? How much money is on play total and then where Josh: is everyone at currently in this race Ejaaz: Yes so to give a bit more background this new Ejaaz: ai lab gave six ai models Ejaaz: all models that you've heard of before we're talking about grok 4 we're Ejaaz: talking about anthropics claw we're talking about chat gpt5 and Ejaaz: some chinese models some competitors quen and deep Ejaaz: seek ten thousand dollars each um and

Ejaaz: with the specific goal of making as much money as they can through trading Ejaaz: only six assets so in this initial part of Ejaaz: the competition they're allowed to trade for three weeks six assets Ejaaz: only and as you mentioned earlier josh they're trading specifically on Ejaaz: a platform trading platform called hyper liquid which gives them Ejaaz: access to to do all these things um and josh i think aside from some of the

Ejaaz: returns that these models have made the website is also super impressive because Ejaaz: i've just been glued to it like like for the entire weekend um it is this really Ejaaz: interactive thing where you can kind of see the performance of models. Ejaaz: And it's pretty clear who's doing well at this point and who isn't. Ejaaz: For those of you who are just listening, I'm circling three models right now, Ejaaz: which is DeepSeek, which is right at the top with almost $13,000.

Ejaaz: Remember, they started with $10,000. So that's a pretty impressive return for over two days so far. Ejaaz: Right beneath it, tailing it, is Grok coming in at $12,500 and catching up a Ejaaz: surprise winner from this morning actually Claude Anthropic who was originally Ejaaz: down and underperforming is catching up to Grok just beneath it at $12,500. Ejaaz: $200 at this moment of speaking. Do you have any initial takes on this?

Ejaaz: And do you have any explanation as to why ChatGPT and Google Gemini have lost almost $3,000 today?

Josh: Well, ChatGPT, it's still thinking of its next trade. It'll be thinking for Josh: the next day. So it's still figuring it out. Josh: ChatGPT really loves to think really long and hard about its decision. Josh: So we'll hear more from ChatGPT in a day from now.

Josh: It's funny, if I were to pick the top three, without seeing Josh: this chart i probably would have picked grok i would have picked uh Josh: deep seek and i would have picked claude and the Josh: reason is because well one grok is unhinged Josh: super high risk tolerance uh super like large Josh: access to current trends rip and trades deep Josh: seek which i saw earlier they had like this crazy leverage Josh: trade put on like deep seek is just like the chinese degen model

Josh: and what i like about uh these models is Josh: they're not really filtered when you talk to grok Josh: when you talk to deep seek they just kind of give you the answers they Josh: don't kind of fill it up with all of this like you know additional filler Josh: and complementary words and claude is the most technical of Josh: all of these like when people use claude when people think of anthropic they Josh: think of code and code i mean it just

Josh: seems like it maps better to investing than general purpose Josh: large language models i would have predicted chat gpt to be Josh: low just because chat gpt is so oh you're Josh: so right oh the market should go up oh Josh: oh i'm down 20 it's fine like we're going Josh: to be okay we'll make it up it's just not like a it's Josh: not who i want to go to to seek truth i guess is a good way of framing it now

Josh: gemini in last place i gotta say i'm a little disappointed because i mean we've Josh: been very big google bowls recently and seeing gemini all the way down there Josh: at the bottom uh it does make me Josh: sad i wonder i don't really have a good explanation of why they're at the Josh: If we're comparing countries, Quentin and Alibaba are first and fourth place. Josh: And the US is getting two, three, five, and six.

Josh: So nice little distribution there. I don't know, do you have any gut takes, Josh: initial reactions on the placing of these? Ejaaz: That's really interesting how you prescribed a personality to each of these, Josh. Ejaaz: I would agree, but I actually have some disagreements with you. Ejaaz: I would have never expected Claude to be up there because I always thought Claude

Ejaaz: was kind of a knock. Like it's just this like nerd that doesn't kind of really Ejaaz: pay attention, tries to follow like the rules too much. Ejaaz: And to your point, like Grok is kind of like the rebel, right? Ejaaz: It kind of like high risk taking. I don't see Claude. Ejaaz: Quite unhinged. I don't see Claude kind of as that. It seems to me as a rule Ejaaz: follower, but your point around coding kind of makes sense.

Ejaaz: Like I'm trying to now imagine if Claude was a human, it would be some kind Ejaaz: of quantitative trader, some algo trader that works at like a hedge fund.

Ejaaz: I completely get that. the chat gpt thing Ejaaz: makes so much sense it's agreeable it's Ejaaz: high sick of fancy if i say oh my Ejaaz: god i really fancy jumping out my window uh and Ejaaz: i'm for those of you don't know i'm like on a high floor um building Ejaaz: right now it would be like yeah you know what that sounds like a really Ejaaz: good idea so it's a sheep it makes sense right to my Ejaaz: earlier example like if it sees everyone on x being

Ejaaz: super bullish it's probably like oh my god i should go 20x long Ejaaz: and ironically that's what it did when the Ejaaz: markets were tanking and it like lost a bunch Ejaaz: of money by doing that so i think that there's Ejaaz: something interesting here the deep seek being number Ejaaz: one makes a lot of sense to me you know you know why josh because Ejaaz: it was a it was a hedge fund that created deep seek do you remember it was it

Ejaaz: was a hedge fund team interesting that developed the deep seek model so it actually Ejaaz: doesn't surprise me at all if i'm probably not mistaken this uh model was probably Ejaaz: trained on a ton of quantitative trading historical data. Ejaaz: So it doesn't surprise me at all. In fact, I expect it to win. Josh: Interesting. Okay. One of the things that is most interesting to me actually Josh: is the returns that they're getting this quickly.

Josh: I mean, this competition, it looks like this chart started October 17th, Josh: which is not that long ago. At the time of recording today, it's October 20th. It's been 72 hours. Josh: And over the course of 72 hours, we do see these kind of patterns that are happening. But what is it? Josh: DeepSeek is up 30% in three days. They're averaging 10% return a day. Josh: And Gronk is right behind and Claude is right behind. So they're very clearly

Josh: open to risk and taking large amounts. Oh my God, look at this Grok position. Josh: It's 10x long on Ripple, 10x long on Doge, 20x long on Bitcoin. Josh: If you're seeing this, I would never advise you to ever use this much leverage on a position. Ejaaz: It's not financial advice. Josh: And it's really fascinating to see, though, because you would imagine there Josh: is some sort of game theory optimal trading strategy that they're running in Josh: their systems based on what they know.

Josh: And it looks like almost all of these are long using leverage. Josh: So it's interesting to diagnose the positions. Josh: Well, it is. What is this post here? It's going viral and why.

Ejaaz: Shall we maybe dig in to like some of the trading strategies that these guys Ejaaz: are doing? Yeah, I want to know how they're. Josh: Making 10% a day. Ejaaz: Like who's taking risk and who's analyzing the market versus who's playing kind of conservative. Ejaaz: So let's run through a few tweets that we have here, which kind of like have takeaways from this.

Ejaaz: So in this initial tweet, it highlights that Grok and DeepSeek, Ejaaz: who are currently number two and number one in this competition, Ejaaz: went max long immediately when the competition started. Ejaaz: That means they went like 10 to 20x leverage, which is extremely high leverage Ejaaz: and high risk bet to make with most of their notional capital.

Ejaaz: So most of their 10K that they used, they're just like, I'm going to slam this Ejaaz: in a 20x long for BTC and for ETH and for XRP. Ejaaz: And today's rally has put them in the lead. So, hey, no risk, Ejaaz: no reward. And they just kind of like went full in. Ejaaz: GBT and Gemini, interestingly, went the complete opposite. it. Ejaaz: They went hard, but they shorted instead of longing.

Ejaaz: And this might be for a few reasons, Josh. So what this tells me initially is Ejaaz: I think Grok and DeepSeek are trained on better financial data and are better Ejaaz: at evaluating markets for trading than GPT and Gemini. Ejaaz: So GPT and Gemini might be great generalized models. Ejaaz: What this reminds me of is they haven't been given access to social media data Ejaaz: like X and maybe DeepSeek has.

Ejaaz: I remember reading DeepSeek was trained on a bunch of X and Reddit data as well. Ejaaz: So they probably have an idea of the psychology of a trader's mind, Ejaaz: whereas it's kind of obvious to me that GPT and Gemini kind of don't. Josh: I'm really curious on the technicals Josh: of how they're actually ingesting information and making trades.

Josh: Is there some guy who's just typing like commands into a terminal like hey here's Josh: the current price let me know if you want to make any trades like what is i'm Josh: curious what's actually going on behind the scenes because they are language Josh: models they do need to be getting some sort of real-time data right i wonder Josh: what that prompting structure looks like in order to initiate them to Josh: make these trades and make these decisions um there is

Josh: one side thing that i also find interesting is that Josh: chat gpt and gemini both chose to to short right off Josh: the bat and i wonder if that has anything to do with their just Josh: like their emotional sentiment um whereas like Josh: are does that lead to like a model that is Josh: slightly more conservative slightly more like reserved in how they deploy capital Josh: and how they make these decisions versus the others that just went max long

Josh: right away they're just like no we're going up we are positive optimistic i Josh: wonder if it's a reflection of kind of like the the sentiment of the model as Josh: well which is another basis for speculation. Ejaaz: Josh, that's a really interesting take because that just reminded me of an experiment

Ejaaz: that we spoke about on an episode. I think it's like, Ejaaz: three months ago, which is an eternity ago, Josh, where a bunch of researchers Ejaaz: ran an experiment similar to this, but the goal was you have a group project Ejaaz: to pitch to me how you're going to make money.

Ejaaz: So they weren't given money. They were just asked to make a presentation or Ejaaz: an argument as to how they would make money, similar to like a university or Ejaaz: college group project that you asked in like finance or business school, right? Ejaaz: And we saw the opposite behavior happen with these models back then. Ejaaz: So GPT and Gemini were actually the most proactive.

Ejaaz: They did all the research, they did a bunch of analysis, and they created this Ejaaz: really kind of like primrose, perfect looking framework and theory of how they were going to do it. Ejaaz: Meanwhile, I remember reading that Grok, and I don't know whether there were Ejaaz: some Chinese models, but I remember Grok was kind of just like chilling, Ejaaz: didn't really do much, and said that it kind of kept on putting off the work.

Ejaaz: So it's this kind of interesting thing where when it comes into the actual practicality Ejaaz: of the task, it seems that Grok and these Chinese models are way more kind of Ejaaz: like gung-ho and they want to do the thing versus plan and strategize and write Ejaaz: like some kind of theory around it. Ejaaz: I don't know if that's relevant at all to this, but I just find it interesting Ejaaz: when it comes to like the behavior and personalities that you talk about.

Josh: Yeah, and there's got to be some significant differences in the prompting of Josh: them too, because I'm going through these positions and every single model right Josh: now has leverage of at least 10x. Josh: No model here has less than 10x leverage on a single position. Josh: So they're using this outrageous amount of risk. And I have to imagine it's Josh: not because they were trained that way, because I imagine most of the average Josh: people, they're not trading on 10x leverage.

Josh: So I wonder what type of prompting happened in the back end to compel them to Josh: want to use this level of risk at all times. Josh: But it's a fascinating experiment, I guess, playing around with these benchmarks Josh: and seeing different ways to do it in public. Josh: I like one that there's skin in the game that I mentioned earlier.

Josh: But I also like the fact that it's just publicly verifiable and not gameable Josh: because you're competing in public open markets with everybody else. Josh: And your AI really has to assert its dominance over other humans who are live Josh: and thinking versus this controlled math set that has like a very like fixed array of outcomes. Josh: And the dynamic thinking really is... Josh: It's something noteworthy. And I think this is a really cool trend that I hope more people do.

Josh: It's just public benchmarks that are much more difficult to game than others. Ejaaz: Yeah, I couldn't agree with you more. I've said for a long while now that AI Ejaaz: shouldn't just be your favorite knowledge worker or your assistant that teaches you about the world. Ejaaz: It should do things for you. And the most practical thing for most people is like, how do I survive? Ejaaz: How do I make money from my living? Like, can you help me make more money?

Ejaaz: And finances always appeal to me. My background is from crypto. Ejaaz: Josh, you and I have covered that topic for a while now. Ejaaz: And so seeing something like this kind of like gets me really excited. Ejaaz: You know, like what other AI tools are out there that can give you a 42% return Ejaaz: over the weekend, Josh, which is exactly what DeepSeat did this weekend. Ejaaz: It's just kind of insane.

Ejaaz: Another thing that I find really interesting is just kind of like some of the Ejaaz: stats that come from this.

Ejaaz: Uh i've got a tweet pulled up here which kind of gives you Ejaaz: the overview of some of the strategies that these models Ejaaz: are doing um so i'm going to read through a few here um number one leverage Ejaaz: has been normalized across all models that's what you were just saying uh josh Ejaaz: high leverage in particular um with gemini 2.5 pro going ham on leverage yesterday Ejaaz: 15x or so which is just absolutely insane.

Ejaaz: Quen 3 Max, which is a Chinese model, and Gemini 2.5 Pro don't seem to be the Ejaaz: best executors. They're paying a ton of fees for their position. Ejaaz: So what that means is when you open up a leverage position, you're often paying Ejaaz: fees back to the platform as kind of like a tax or stamp duty for opening your position.

Ejaaz: Quen 3 Max and Gemini 2.5 Pro are also the only ones with closed positions that Ejaaz: are profitable, but also lost too much on other trades, causing them to still be in a loss. Ejaaz: So what it's talking about here is when you open up a position for leverage, Ejaaz: you can close it for either a profit or a loss. Ejaaz: The winners or the leaders right now, DeepSeek and Grok, haven't closed any positions. Ejaaz: They just went max long from the start and they haven't relented yet.

Ejaaz: They haven't closed. So what I want to point out there is they could still lose Ejaaz: it all. They haven't booked in that profit at all. Ejaaz: So I don't know, I'm kind of nervous. This could all change in a matter of an Ejaaz: hour, Josh. What do you think? Josh: Like, okay, I want to, as we kind of wrap this up, I want to play as bets. Josh: I want us to play our own bets because nobody's been liquidated yet. Josh: And with the amount of risk they're taking, it is inevitable.

Josh: It is only a matter of time. Josh: So I want to ask you first, who is the model you think most likely to be liquidated? Josh: Because, yeah, we're looking at a post here where the club is taking a max long position. Ejaaz: I think it's going to be Grok. If I'm being honest with you, Ejaaz: I don't want to say, but I think it's going to be Grok. Ejaaz: The leverage it's using. Here's my reasoning. The leverage it's using is insane.

Ejaaz: It is more extreme than DeepSeek, which is number one. Ejaaz: So to me, as a trader myself, that seems to me it's a revenge trading method. It's mad. Ejaaz: It's going ham. And it is like driving fast. It's drunk. Ejaaz: It might wrap around a telephone pole. I don't know, but it's going for it. Ejaaz: So it might result in a major win, but it might result in a major loss. Ejaaz: So I'm going with Grok. Grok's going to get liquidated.

Josh: That's a good take. I think since you're going with Grok, I'll go with DeepSeek. Josh: I just got to go for the crazy highly volatile positions yeah yeah Josh: They're taking just outrageously long leveraged positions and like something's going to go wrong. Josh: Like just two weeks ago, what, the crypto market dropped? Like we liquidated Josh: 30 something billion dollars in like an hour. Josh: These things happen and they move frequently. And granted, an AI is running

Josh: this. So I assume there's not a lot of latency between their decision and the trade. Josh: But like this is a huge amount of leverage to be locked on in every single position. Josh: Like if one of these coins gets wiped for like 10% even, you've lost 100% of

Josh: your money. so i'll probably go with deep seek um over the next let's say month Josh: ejs who's your winner who do you think is the best longer term trader Ejaaz: This might be a wild card of a guess um but i actually think it's it might be Ejaaz: anthropic and as i'm saying this it is about to overtake man it's about to overtake Ejaaz: grok 4 and here's my reasoning behind this okay when it started it off in this Ejaaz: competition, it was doing terribly, Josh.

Ejaaz: It was underperforming, not as bad as GPTO Gemini, who is like further down Ejaaz: in the chart, but it was doing bad. But then it learned. Ejaaz: It did some analysis and it closed its positions that were already in a loss Ejaaz: and thought, okay, I'll take that loss and let me try this new strategy. Ejaaz: And it's been working heavily in its favor. So it's demonstrated two things Ejaaz: to me. One, it's able to adapt and learn.

Ejaaz: Grok and DeepSeek haven't demonstrated that. They're just on a lucky streak Ejaaz: right now. They haven't taken any else. Let's see how they perform under duress, right? Ejaaz: And then number two, Claude is willing to take risk when it's learned from its Ejaaz: lesson and go hard. So I think maybe over time it might end up.

Josh: What about you okay i'm going to go with quen who we did not mention much this Josh: episode because quen is just kind of pegged to the middle and in fact i don't Josh: think we really talk much about position open there so let me let me explain my why so Ejaaz: Okay so quen.

Josh: Quen has been like kind of in the middle they haven't done much we don't really Josh: know much about quen like we know about a lot of these other labs and how they Josh: work uh quen's just kind of like this you know this middle of the road model. Josh: But what I've noticed in observing the positions, like you were about to highlight, Josh: Ejaz, is that it selects one position and it goes mega long on that one position.

Josh: So just before we started recording, I was checking through Quen and Quen had Josh: a 20x long on Ether, all in. Josh: One position, all the money on a major coin. It sold that, it went to Bitcoin, Josh: now it is going 10x leverage on a very large position.

Josh: So what I'd like about Quen and what i've observed is where a Josh: lot of other models are kind of spreading across a basket with lots Josh: of leverage quen is very hyper fixated on just the Josh: majors just ethereum just bitcoin back and forth i've been seeing a trade um Josh: and that to me seems much more sustainable than going max long on something Josh: like ripple that can just wipe you out in like a couple of minutes uh so i'm

Josh: gonna go with quen for the winner the sleeper pick um for our little model trading Josh: i'm off to check in in a couple weeks or a month and see how these things do does Ejaaz: Gpt or gemini dig itself out of this hole it is currently down three thousand dollars. Josh: I want gemini too i'm not sure i want i want chad gpt too wait sorry what's your reasoning Ejaaz: Behind that why because.

Josh: I i want i want chad gpt i Josh: want the world to know that chad gpt is being a weak-minded psychophantic like Josh: suck up and it's soft and i want chad gpt to be harder i want to be more direct Josh: i want to tell me the truth as it is and i want that to be reflected in the Josh: chart so that's just mostly me just virtue signaling that I want. Josh: I want ChatGPT to be a little more serious, a little more, a little more harder on the edges, you know?

Josh: I think Gemini's got the dog in it. I don't think Chash GBT does. Josh: So we'll just have to wait. We'll have to wait and see. But this is fun to watch. Ejaaz: It is. And I want to hear what you guys, the listeners, have to say about this. Ejaaz: Like, who's your dog in the race? Like, who do you think is going to win? Do you disagree with us? Ejaaz: Right now, it seems like my bet might be paying off. Claude's coming through.

Ejaaz: But if you have any kind of difference of opinions, let us hear it. Ejaaz: Maybe you know how these things are trained. Maybe you can train a better model. Let us know. Ejaaz: Before we wrap this episode up, Josh, I just want to shout out, Ejaaz: just kind of going back to nerdy mode for a second, how cool that this thing Ejaaz: is built on an open source stack. Ejaaz: We mentioned earlier that it's using an app called Hyperliquid.

Ejaaz: That's basically a blockchain. So anyone and everyone can get access to it and Ejaaz: see the trades that these accounts are making, that these AI models are making. Ejaaz: And if you want to copy trade them, that's not financial advice. Ejaaz: I'm not saying that. You can, you know, you can see the data. Ejaaz: If you don't believe this website, if you don't believe the tweets that you Ejaaz: read, you can go and check that data for yourself and see what kinds of trades that are making.

Ejaaz: So super cool that the fees seem to be cheaper than using an average trading Ejaaz: system and you can use it 24 7. Ejaaz: This is not a shill. We are not sponsored by HyperLigrid. I just think it's Ejaaz: really cool that they're using an open source stack finally without seeing anything Ejaaz: bad being said about crypto. Josh: Yeah, it's nice to see that there is they're testing these things in public Josh: and in a way that's verifiable and in a way that's not gameable.

Josh: The biggest complaint that we always have is with benchmarks is that they're Josh: gameable you can very much program your model to perform better at these Josh: different benchmarks but this is the real world with real markets Josh: and real people and real emotions and they're forced to Josh: navigate a world that is not confined to a black box and instead has a lot of Josh: depth and a lot of volatility so it's exciting to see this trend of new and

Josh: creative ways to benchmark this is particularly fun because you get to watch Josh: the charts and hopefully make some money off of it and i look forward to listen Josh: i look forward to using grok one day to hopefully advise my trading portfolio. That'd be pretty cool. Josh: So we'll, we'll see how it goes. This was super interesting. Josh: EJs, any final thoughts before we take off here? Ejaaz: Nope i i hope we make a bunch of money in the future.

Josh: That is all i hope so too i hope so too and i hope Josh: um everyone who's listening this got a little kick out of it Josh: i'd love to hear like you just said who do you think is going to win but also Josh: why you need to include why you can't just say who you have to say why because Josh: i want another reasoning um and then i guess yeah who's going to be the best Josh: model that's going to be fun we'll circle back in a couple weeks and we'll we'll

Josh: check in on this experiment but that is everything for today um thank you for Josh: watching as always we appreciate all of the new uh ratings and reviews and comments Josh: have been so overwhelmingly nice and positive it Ejaaz: Has been kicking off.

Josh: Yeah seriously thank you so much for the support it really goes a long way we Josh: are slowly climbing up the leaderboards and it's all thanks to you so if you Josh: enjoyed please don't forget to like and subscribe share it with a friend who Josh: you think might be interested share it with a friend who did really bad in investing Josh: and maybe need some help maybe maybe just maybe they can use an ai and pretend Josh: like it's them and take all the credit so So that's it.

Josh: That's another episode of the AI roll-up, round-up, whatever we want to call this thing. Josh: But thank you for listening. I appreciate it. And we'll see you guys in the next one.