Halloween Memelord Edition | OpenAI | AI Website Traffic Data

[00:00:02] Speaker A: Hello. How are you? I think I'm good. Yeah. [00:00:05] Speaker B: Back in Toronto. [00:00:06] Speaker A: Back in Toronto, San Francisco was, was fun, short three day trip. [00:00:11] Speaker B: Yeah, I, I had a, I had a blast. You know, we had some of the best weather that San Francisco can offer that made it really pleasant. [00:00:21] Speaker A: It was a complete blast. 20, 20 degree plus Celsius. What is that, 60, 70? I don't know. [00:00:31] Speaker B: All right, let's kick it off. Welcome to the Gregory and Paul Show. I'm Gregory. [00:00:36] Speaker A: And I'm Paul. [00:00:38] Speaker B: And you know, we break down the Latest in startup SaaS, AI, whatever the Internet is debating this week, we always aim for smart takes. But hey, I own up to the fact that the both of us will have plenty of stupid takes that just comes, comes with the territory. And of course, we love memes way too much. [00:01:01] Speaker A: Every single week, there's. There's always a meme to be shared. [00:01:05] Speaker B: I think all means this week. [00:01:07] Speaker A: Correct. Sometimes you can't distinguish between what's real and what's memes. It's all blending together into one. We're streaming live on X and LinkedIn every Friday at Pacific Noontime and 3 o' clock Eastern. Then we post this video straight to YouTube. So find us on YouTube, the Gregory and Paul show. We're also now on Spotify, Apple podcasts as well. So find us under the exact same Gregory Paul show. Yeah. And this is a, this is a very special Halloween edition. [00:01:45] Speaker B: I like the background. [00:01:47] Speaker A: Thank you. This is on every client call today. This is what they got. [00:01:53] Speaker B: I have no Halloween plans. I used to get really into Halloween. I'll share with you like a photo of when I made everyone in 2019 dress up as Adobe applications. We went as a creative suite. And so me and the design team, we printed out little squares that were all the Adobe logos. They were worn. We took a photo. It was awesome. It was great. [00:02:13] Speaker A: That's amazing. [00:02:14] Speaker B: At the time, it was the most viral thing I'd ever posted on LinkedIn. It was so LinkedIn, it was perfect. Oh, what are you gonna do following? [00:02:26] Speaker A: It's also the J's game, World Series, Game six, so. [00:02:31] Speaker B: Oh, yeah. You're a big Toronto fan, correct? [00:02:35] Speaker A: Yeah. [00:02:36] Speaker B: Yeah. You know, when it's not in your city, I forgot that it's happening. Right. Like the Mariners, they did well this year. I saw a couple of games in person. It was excellent. They totally destroyed the A's. And that was. I love going to baseball. But then the minute that they fell out of the series, like, I, I didn't even hear about baseball at all so. [00:02:54] Speaker A: Yeah. Yeah. Well, I mean, we played against them in the last round and obviously we were better, so. [00:03:03] Speaker B: Congratulations. That's fantastic. I think I'm just gonna. It's gonna give some candy to the kids, I think. Our new place. A lot of kids come by, right. Got some candy. That'll be fun. [00:03:14] Speaker A: Moving to a new neighborhood now. You get to meet all the kids. [00:03:17] Speaker B: Yeah. It's nice over here, you know, closer to my brother, close to the park and stuff. It's cool. And it's a little more of a family neighborhood, a lot more kids, so I expect to be a bunch of trick or treaters. [00:03:31] Speaker A: Knock on the doors. Hopefully no X. Yeah. [00:03:36] Speaker B: And here, I'll share my Halloween costume here. So. [00:03:46] Speaker A: Had a sneak peek. [00:03:49] Speaker B: This is good. So Jason over at Memoir Technologies made this Halloween creator from a prompt. It was pretty good. Like, I just put, like, Meme Lord or something. [00:04:00] Speaker A: It's amazing. Yeah. [00:04:01] Speaker B: I did X obsessed Meme Lord because I thought it had to be someone who's obsessed with Twitter. Right. And it was. [00:04:07] Speaker A: It was Pepe. [00:04:09] Speaker B: Yeah. This came out. This came out pretty good. I was pretty happy with this. [00:04:16] Speaker A: That's awesome. [00:04:18] Speaker B: That's fun. That was fun. I put that on. I did not get a lot of likes on LinkedIn, but on Twitter, everyone's like, hilarious. [00:04:25] Speaker A: Like this almost, you know, like they're. They're catching on. Maybe memes will become a. Become a thing. [00:04:32] Speaker B: It's interesting how, like, that spear of Halloween meme, like, I don't know, two years ago was. Was like everybody was making tons of them. [00:04:38] Speaker A: Yeah. [00:04:39] Speaker B: And then like, some. For. For some reason, like, once something, like, gets all that momentum as a meme and that's like, dead to the world. Like, it's kind of funny from, like a nostalgia perspective or something, but, like, no one's into it. It's fascinating. Like, memes have this crazy half life and like, once they're, like, used up, they're kind of like. It's like an old newspaper. It's been read. All the news is old. Like, who cares? [00:05:02] Speaker A: True, true. There are some long living memes, though. [00:05:08] Speaker B: Rare. [00:05:09] Speaker A: Rare. Very rare. Yeah, yeah, I do, I do. [00:05:13] Speaker B: I actually was thinking about this. A lot of the popular meme templates are quite old at this point. [00:05:17] Speaker A: Yes. [00:05:17] Speaker B: They're even, like. They're even, like, so old that I think, like, younger people don't know what those films or it's. Whatever they were, they're not even familiar with with them. [00:05:28] Speaker A: Yes, yes. The go. I think the golden age of meme was around like 2010, early 2010s. That was the only major memes. [00:05:38] Speaker B: Yeah. They all kind of got created then and then. There aren't. There aren't new meme templates. Maybe that Spear of Halloween is a new template, but it's, it's kind of still. It's kind of burned out. Some of the big ones like that, you see, they're. They're old films now. I found that part fascinating. Yeah. That people don't quite know. [00:05:58] Speaker A: Correct, correct. I mean, this is. This is for being Toronto. This is my. [00:06:04] Speaker B: I mean, drake is like 45 now, right? [00:06:06] Speaker A: Correct, correct. But I guess this meme is still pretty universally understood. [00:06:14] Speaker B: Like, who even knows that? That's hotline bling. Like, no one. Like, young people have no idea. They don't care. It's not cool to them. [00:06:20] Speaker A: You're talking about, like, the TW people. That's like teenagers. Yeah. [00:06:23] Speaker B: You're under. Like, if you're under 30, you wouldn't even really. I mean, you wouldn't remember when this came out. [00:06:28] Speaker A: No, of course not. Of course not. Yeah. Yeah. [00:06:31] Speaker B: All right, should we jump into our first thing here? [00:06:33] Speaker A: Let's do it. [00:06:35] Speaker B: So, okay, so I want to kick off with the Amazon layoffs. The AI layoffs. So there's a lot of stuff out there. And maybe we'll play a little bit of this clip. But this guy, who. He's obviously an ex Amazonian, definitely doesn't work there anymore. He had some really interesting stuff to say about what's driving it. So let's give it a shot. [00:07:01] Speaker A: Do you wanna. Can you hear me? [00:07:06] Speaker B: No, this sound doesn't work. Okay, well, I'll just explain then. [00:07:09] Speaker A: Yeah, he. [00:07:10] Speaker B: He posts like. It was interesting. I actually, I gotta describe tone, how he speaks. He's. He's very serious. Talks very slowly. He comes off like a professor. He's obviously like. He's. He's the distinguished engineer, I think they had to bring in from his yacht, who hadn't been at port for. For five years anyway. I'm only kidding. That was the meme we had from last week. Yeah. You didn't get that one? [00:07:36] Speaker A: No, I didn't get that one. [00:07:38] Speaker B: You share that meme that says distinguished engineer from the six to eight hours. Ah, yeah. Like this guy. This is the guy. [00:07:44] Speaker A: Right, right, right. [00:07:45] Speaker B: This is the guy. That was great. I. I was. My delivery was too good on that one. You're like, what, he's on a yacht? [00:07:50] Speaker A: What. [00:07:52] Speaker B: Anyway, you get the point. So what he said was that the reason or how AI is Perhaps driving these layoffs isn't that all of the work is being automated by AI, but it's that the battle between, let's call it all the hyperscalers, Google, Amazon and Meta and Microsoft, those are really the four driving it that there's so much money being spent on infrastructure that they're hitting the limit where the cash needs to come from somewhere so they can continue funding the build out. And the place that they can do that is by laying people off. And so his contention lease is that what's driving the layoffs is that the companies need to stay profitable. They need to meet the targets that Wall street expects from them. And so the only way they can keep building the AI build out is by laying off people so that they can maintain their profitability. And so I think there's a lot of truth to that. Like you and I were both talking how there's a lot of leaked memos and rumors about how Sergey has said that you know, he bankrupt Google before lose the AI battle. Larry has said something similar. [00:09:14] Speaker A: Yeah. [00:09:14] Speaker B: So they're basically all just playing chicken like driving the car full speed at each other and, and it appears to be like perhaps what you'd call like a war of attrition. It's going to be who runs out of money first. And Amazon, I don't fully understand the, the, the big picture, but it sounds like for whatever reason they struggle to get access to Nvidia technology, Nvidia chips. And so they are behind the other thing that he said that I wasn't aware of. I don't know how true this is, is that there is more demand than Amazon can meet in terms of like infra and compute on the AI side which, which might be true. And so they're trying to just do everything they can to meet the demand. [00:10:06] Speaker A: Okay, this is really interesting because I feel like what AI has introduced is a reshuffling of who the top peoples are. Right. Like the fact that AWS can't get access to Nvidia or GPUs. I feel like that's the border being redrawn. [00:10:29] Speaker B: Yeah. Or they can't get, I don't know exactly what these are. They, they can't. I, I think that like, I don't know how the allocation is done but for whatever reason they're not getting what they need or would to meet the demand that they, that they have. [00:10:46] Speaker A: Do, do you think it's just like very basic market forces, who's, who's willing to pay or do you think there's like more things behind the scene. [00:10:58] Speaker B: We have more data on this. You know, I think like, I think the general take on Twitter that AI is the narrative, but that's not really what's happening. It's that corporations are using an excuse to lay off people and that they over hired during COVID maybe even over hired during the ZIRP era. Right. Someone posted like an Amazon hiring chart and like they hired way too many people in 2020, 2021. But even going back, they were hiring a lot of people. They ramped it up during that era, but they just hired an enormous amount of people. And they haven't hired basically or hired. The headcount stayed flat for like a couple of years. Like it's not like recently flat or they slowed down. So I actually buy that that they hired, they hired too many people or you know, I hesitate to frame it that way. They have a lot of people and they are able to cut people and motivate them to work hard because the threat of AI is, is real and they had just hired a lot of people and so they're able to manage the business now with. [00:12:10] Speaker A: Right, yeah, we talked about this quite a bit. I, I agree, I agree. I think so. Like if you read the sentiment online, especially on Reddit, people are very, very, very negatively skewed towards AI because it seems like in the news in corporate stance is that AI is here, AI is replacing people. But whether if that's true or not, I don't, I don't think it's complete story. I think it's just over hiring. [00:12:41] Speaker B: Yeah, yeah, I agree. [00:12:42] Speaker A: AI is the scapegoat online, especially over hiring. [00:12:45] Speaker B: You know, Chama, you know, like of course all in podcasts have to go there, like, oh, it's deis. This is that like, but, but at a high level. Yeah, I think these, all these companies hired a lot of people. They, they. I would, I feel comfortable saying like they, they, they employ too many people and I'm not, I'm not happy about anyone getting laid off. Right. So I just want to be really careful about how we position this anyway. Like it's not an easy job market. Right. So like it's tough. [00:13:12] Speaker A: Yeah, it's very tough out there. [00:13:13] Speaker B: These companies, they don't need that many people to operate. That's, that's a fair statement, you know, and so they want to continue to compete, they want to be successful and this is the choice that they're making. [00:13:22] Speaker A: Yeah, yeah. And like, so you have to kind of look at the reason why they over hired as well. Right. Like we had all of these expectations for companies, especially like Amazon during the pandemic to grow some crazy numbers. Right. So the only way to show top line growth is by increasing revenue or increase your, you know, your headcount to support those kind of increases. [00:13:51] Speaker B: Yeah, I mean, it was just a weird time too. Someone called it like a peak of inflated expectations. I completely agree with that. [00:13:57] Speaker A: Exactly. [00:13:58] Speaker B: Employees were hired for like super high salaries. They hired too many employees. Employees didn't want to do any work. It was like a weird. It just was a weird time. [00:14:06] Speaker A: Right, right. People thought like the elevated E commerce activity would just stay. [00:14:13] Speaker B: Yeah. Another thing that I think is important, I can't prove this, but like I think that Covid so and what I would call the, the COVID bubble, which was like exacerbated by like fiscal stimulus, meaning like Congress and the presidency, like all the like local divisions, they just pumped all this free money in the economy at an enormous rate. And I was totally against at the time. I'm still against it. I think it was absolutely the wrong thing to do because what it did was that it massively increased inflation. I know people like free stuff, but if you give people free money, enough of it, the value of that money goes down. I think that's exactly. And on top of that, the Federal Reserve bank had like 0% rates. Plus they were doing all kinds of complex stuff on the back end to like reduce rates even further, which made this incredible housing boom and inflated the price of housing. I think all that stuff was just horrendous. Like if you look at the numbers, it's not like they spent some money. It's like they doubled the total supply of dollars in the world. Like insane. Like it's not like a little thing. Like I think that even now the distortion that that created economically is still being felt today. And I think these layoffs are probably something that should have happened a few years ago, but just postponed and delayed and distorted. It's just. It's just created this really bizarre world. And I think that's why like a lot of like economic indicators aren't working properly anymore. And forecasters have no idea what they're talking about because it's just distorted everything. Like after covet ended and rates went up, everybody was predicting recession. Right. It was like a 99% chance. And it never happened. [00:16:13] Speaker A: Never. [00:16:13] Speaker B: Because it's just completely distorted. Right. [00:16:16] Speaker A: So. [00:16:16] Speaker B: So that's another thing I think that's in the mix here is like not only did they over hire, but the layouts that probably should have happened never happened. And so it's all happening just like in different times and it's just really difficult to understand. Anyway, what I wanted to share as part of this is this data here and I found the full report. So last week we put up a tweet that Chamat the the dictator of of Allen posted and it came from this report. I found the full report that details a lot of really interesting data about what's happening with AI website traffic. So this is from similar web who measures websites and they have data on website traffic. You could debate the validity of it. How accurate is like that's a different nerdy discussion I don't want to have today. Let's assume that for the most part it's directional and it's correct. There's all kinds of charts in here showing that like certain aspects of the AI ecosystem are in decline or are churning. [00:17:27] Speaker A: Right, Right. [00:17:28] Speaker B: So this is like what we were talking about earlier that like is AI taking jobs away, like what's going on? It gets really hard to say at a high level. But you do see that like there is a lot of decline starting to happen in certain categories in terms of traffic. Everybody rushed into generative AI sites by every category. So the total use is going up BC is see they like legal just 70% maybe these legal tools don't work. I'd be wary to use a generative AI legal tool. [00:18:07] Speaker A: Yep, yep. [00:18:09] Speaker B: Here's some other interesting stuff. I think we shared this one but it shows like, you know, Deep Seek had this big run up and then just like no one's using Deep Seek. But then it kind of came back. Interesting to just see the volatility here. We talked about this too. Like Google clearly is like gaining market share relative to uh, OpenAI relative to correct. [00:18:35] Speaker A: OpenAI was an early mover in this space. [00:18:39] Speaker B: I mean look at this one. Like most of these design and imaging sites are seeing like huge traffic declines. [00:18:47] Speaker A: Right. [00:18:49] Speaker B: So Aaron, what are your thoughts? I've talked a lot. [00:18:54] Speaker A: It's interesting. The thing that jump IME is AI for legal. Tech has completely dropped off and coding is still the most used generation. [00:19:07] Speaker B: Yeah, let's go to that page, which. [00:19:09] Speaker A: Kind of makes sense to me. [00:19:11] Speaker B: Here is character. Where is it? [00:19:15] Speaker A: There's a. [00:19:16] Speaker B: Right. This is writing in content. Right. So these have all fallen off. Like everyone's figured out like, yeah, hire your content team back. [00:19:24] Speaker A: Video editing. I think we've grossly overestimated how useful AI is in everything not related to coding. [00:19:34] Speaker B: Here's the code Stuff. So we shared this. But this one's interesting. Right. And I think you were the one saying that Cursor looks to be the winner. You can see they've got a really strong chart here and we could see Cursor red. So yeah, they are cursor and lovable and replic. [00:19:56] Speaker A: So lovable is like think of it as an entry point for everybody that's not a coder to start coding. Right. But then you also have Replit, which launched, which launched their AI tool about half a year, six or eight months ago, let's say before that they were very like code editor. That's in my mind that's what they were. Replit is now starting to be the sweet spot between lovable and something like cursor, where you can just host everything in one platform and it just works and it's good enough that you don't have to worry about anything underneath. So I think the market will be split between lovable, sorry, lovable, Replic and Cursor. And they're satisfying three different tiers of advances. Advanced usage. [00:20:49] Speaker B: Yeah, I mean it makes sense. Right. And that's what a lot of people were saying was like they're all scaling so quickly because what it is like people are just trying them all. They're new. Yeah, novelty. And people have started to like figure out which ones they like and early winners are starting to emerge. It's very logical. Like that's how any market usually. Yeah, usually plays out. [00:21:08] Speaker A: Yeah. We also got a common out here that's really interesting. So yeah, this has always been a problem. Right. So hallucination is a massive problem. And especially in law, health or other things. Now your problem isn't how to sort through a million documents. Now your problem is, okay, after sorting through a million documents, how do you then qa what's actually correct? [00:21:38] Speaker B: So like back in the documents. [00:21:42] Speaker A: Exactly. [00:21:43] Speaker B: Right, I know, exactly. [00:21:46] Speaker A: Yeah. [00:21:46] Speaker B: I mean like look, look, an AI lawyer, like I don't even want to trust a cheap lawyer. Like I think that that's the most people's attitude. It's one of the reasons lawyers make a lot of money is because like you don't want a low cost lawyer, you want a really good lawyer. [00:21:57] Speaker A: Right. [00:21:58] Speaker B: And yeah. So AI doesn't cut the mustard. [00:22:01] Speaker A: And you, I think we, we also talked about this, right. Like can you blame AI, can you sue AI? [00:22:07] Speaker B: Yeah, remains to be seen. I hope so. [00:22:10] Speaker A: Right. Like if, if they screw up something in terms of law or health or whatever things that we usually sue doctors and lawyers for or Any kind of professionals for if. What does that look like? I think once we figure that out as a society, then the adoption will skyrocket because now you can sue ChatGPT for give you bad advice. [00:22:32] Speaker B: That's interesting. So we, let's do this. Amplitude one. This in here. [00:22:39] Speaker A: Okay, this is, this is, this is. Okay, so again, AI massive adoption, massive tracking. AI citation has become like a commodity. So this. James over here is the CEO of Try Profound or Profound, which is a LLM tracking tool. Spencer over here is the CEO of Amplitude, a measurement tool that competes with, let's say Google, Google Analytics. And he tweeted this. Too many VCs are funding AI company that should be a feature or features. 12 plus startups have raised 72 and a half million dollars in the last few months for AI visibility SEO for LLMs. We built it in three weeks with three people and shipped it for free. And the CEO of Profound came back with a screenshot of Amplitude stock price that dropped 81 since their IPO five years ago or since their IPO early 2023. And he quoted lack of focus kills. I thought this is such a Twitter exchange. [00:23:55] Speaker B: And then did he respond to him? [00:23:59] Speaker A: No, he. Not directly, I don't believe. But other people are, you know, jumping in. [00:24:03] Speaker B: Yeah, I saw some of this. So, so besides the fact that they've got a really horrible looking stock chart. [00:24:11] Speaker A: Right, right. [00:24:12] Speaker B: What, what is your, what is your, what is the summary here? What is your take on this? [00:24:17] Speaker A: So I think Profound is a feature. I think it's a transient tech. Once people figure out how all of this actually works, Profound will go away. There's absolutely no reason why ChatGPT can't provide this information in house. It's a complete transient tech. [00:24:37] Speaker B: I mean, I'm not even confident you can optimize Generative engine answers. [00:24:44] Speaker A: Yeah, so okay, so here's, here's the, here's the, the truth. Right? So most marketers using these tools like Profound, they have no idea what's going on. Like it's no idea what's going on. So like for example, the thing that LLM AI SEO visibility tools do is it aggregates across multiple models. So like ChatGPT perplexity, Google AI summary into one report. But like what perplexity does versus what ChatGPT does is completely different. A marketer is looking at this under one tracking tool and they're not digging underneath the report to actually separate the different LLMs and the channels. So it's like completely meaningless. [00:25:39] Speaker B: Yeah, I mean I've seen I, I was even talking to someone the other day. They're like these things have these like prompt banks. [00:25:45] Speaker A: Yeah. [00:25:45] Speaker B: And they like measure the prompts. But he's like, the results are different every time. [00:25:49] Speaker A: The results are completely different. [00:25:51] Speaker B: Part of the, part of the value prop. Or maybe they don't want to be value prop. But like, so it's not clear that like you're even measuring anything. [00:25:59] Speaker A: Correct, correct. Correct. You're, you're probably most likely measuring the wrong thing because like if you're, if you're, if you're seeing citation data and that's coming from perplexity, all that means is how well perplexity can scrape Google. That's what it's telling you. And so that's why like a few months ago or a couple months ago there was a, such a huge thing talking about Reddit citation dropped from 50% to 5% overnight. And that problem came from the, a quick Google change that stopped perplexity scraping. [00:26:37] Speaker B: Right. Right. [00:26:38] Speaker A: Google's landing pages and now you think that's tied to aio? Yeah. I don't know. [00:26:44] Speaker B: All right. Doesn't mean, okay, so should we talk about Nvidia? [00:26:50] Speaker A: Let's do it. So some stock related news. Nvidia hits. [00:26:57] Speaker B: Are they, is this, are they the, yeah, they World's largest company now. [00:27:02] Speaker A: That'S a good question. Or again, I guess again maybe they, earlier this week or a few days ago, they hit $5 trillion in market cap at $211. 200, almost 212 USD. And it's now part back a little bit by about 5%. But I think AI bubble, there's still, still time to go. [00:27:29] Speaker B: Yeah, I, I, it's, it's fascinating. Right. Did you see the, the video of him doing the shots in Korea? [00:27:36] Speaker A: Yeah. [00:27:37] Speaker B: Yeah, that was good. I like, I like Jensen. I think he's like, I think he's like taking this all in stride. I really enjoy the way he's managing all this. Yeah, it was funny. There was a lot of comments saying like, does that look like a guy who's not confident he's going to make the quarterly numbers? I was like, he looks really confident. [00:27:55] Speaker A: Right? [00:27:56] Speaker B: He looks really confident. Right? [00:27:58] Speaker A: Right. [00:27:59] Speaker B: Yeah. So, you know, I, I, for me the story here is that, look, I remember a couple of years ago, I mean it wasn't that long ago people thought like a trillion dollar company was just crazy, impossible. Right. But thanks to all that inflation we had, like I was talking about earlier, dollar's not worth anywhere near what it was worth anymore. And like I Guess that's actually my, my take on this. Like, if you have inflation and you believe there's inflation, then like stocks should go to the moon. And that's exactly what's happened. That's part of my explanation for some of the stuff is like, why, why we have trillion dollar companies? Because dollars are, are, are not worth as much as they, as much as they once were. That will be reflected in the stock market. Dme, if you want to know the mechanics of how that works. I can't explain it, but I'm not going to bore everybody on, on the live stream today with how inflation works and how it drives up the cost or the, the valuation of companies. [00:28:56] Speaker A: Right. [00:28:56] Speaker B: But yeah, I mean, this, this is cool. You know, like we were saying earlier too that like Nvidia's technology is just the best out there and that's why everybody wants it. [00:29:08] Speaker A: It's. So what's interesting is like they played this role extremely well. They didn't pick sides. Somehow they are selling to everybody across the board. [00:29:19] Speaker B: Yeah, they kind of nailed that. Right? There's. [00:29:22] Speaker A: That's difficult to do. [00:29:24] Speaker B: But is that because, like, their stuff's the best? Like AMD's stuff is not as good. [00:29:31] Speaker A: But they could have picked sites. Right. Like on the first corporate deal, they could be like, signed, exclusive. [00:29:37] Speaker B: But if you know you have the best stuff, why would you do that? You're like, you know, you could, you could buy these things and benchmark them and you know for sure. [00:29:47] Speaker A: Correct. So that's, that is something amazing. Right? Like, okay, so there must be a point where Jensen was like, we don't know we have the best because he did deliver some huge letdowns. Right. Some, some of the chips that he delivered were not good. Sorry. [00:30:04] Speaker B: In the past, you mean? [00:30:05] Speaker A: Yeah, of course. Yeah. [00:30:07] Speaker B: I mean, we've talked about this. I mean, that company's been around a long time. I think, I think. Are they the oldest Mag7 company? I think that's true. I think they were founded. Well, no, Microsoft would be, would be older, but like they're not a recent company and they spent years, like, you know, I were joking, like, selling game cards to gamers out of Best Buy. Right. Which is like a tough, tough business. [00:30:35] Speaker A: Exactly. Yeah. So they, they did like a lot of time in this vertical of selling GPUs. And yeah, they, they played the cards right. Which is really, really impressive versus some of the other companies. [00:30:50] Speaker B: Yeah, this is a good chart. Yeah, go ahead. [00:30:53] Speaker A: Well, for example, Meta. I have no idea what they're doing with their AI strategy and the amount of money that they spent in the last 12 months on AI is just incredible. They spent upwards to $80 billion on AI this year. [00:31:14] Speaker B: Well, you know, Meta stock is way down. Right. So Google just went up, Amazon's up. I expected Nvidia to do well during this like earnings season, but Meta did not do well. Right. And I think the market sees exactly what you're saying is like, they sure, the business is going well, very profitable, they're making a lot of money. They always have. They run a fantastic business, right? [00:31:36] Speaker A: Yep. [00:31:37] Speaker B: But it's unclear what their AI strategy is and why are they spending all this money on it. They don't have like a B2B business where they sell infrastructure, where they sell compute. Like they don't have a competitor to Amazon Web Services or to like Oracle Cloud or something. [00:31:54] Speaker A: Right, Right. [00:31:54] Speaker B: So what are they doing? Right. They acquire the scale thing, which it's kind of fun. Like I think it's kind of cool, but I don't totally get it. Like what is the point of that? Then they make these ridiculous offers like NBA level packages to AI developers. Did one of the guy even leave or something? [00:32:11] Speaker A: Like, yeah, it's lots of high payment packages. Right. [00:32:15] Speaker B: So they do that. So they buy scale for number, they buy out these engineers and then they announce, oh, 600 people being laid off in the AI division. My head spinning trying to figure out it makes no sense. Yeah. And I know these Wall street guys, they know way less than what we know about high tech business. Right. So they're going like, like what are you doing, dude? Like they're gonna sell the stock. So yeah, it's just, it just doesn't make sense. Like they've obviously got the capital, but it's not clear they've got the strategy. [00:32:50] Speaker A: So question. Right. Like, do you think. I don't even know if it's possible because Zuckerberg is the dictator of Meta. Do you think that if this goes sideways and it seems like it is, he will just step back as a CEO? There has been rumors in the past. Right. [00:33:15] Speaker B: Okay. What I see is like they made this big bet on the Metaverse and similar thing happened. Like they just found us money. And I think Wall street kind of went, looked at it and said, you could have side projects, you could have R and D, but you can't burn this type of money on something and not be able to tell us why you think this is going to be a great business. They did get that completely garbage report from a consultancy that said the Metaverse was going to be worth like a trillion dollars or something. Which. [00:33:43] Speaker A: Yeah. [00:33:44] Speaker B: Which I'm glad people keep joking about because that was just absurd. And I think the same thing's happening now where they're burning all this money on it. Walsh is looking at this going, like, what is the point of that? We're not confident or we don't have clarity on where it's going. [00:33:59] Speaker A: Right, Right. [00:33:59] Speaker B: But he's the largest shareholder in Facebook. I don't see anything that would change. [00:34:03] Speaker A: That for largest shareholder. Different class structure, voting. Voting structure. So you don't think there is anywhere in the world where he just stepped back and let somebody else take it over? [00:34:15] Speaker B: This is such a good question. So let's look at the history of founder CEOs who've led Mag 7 type companies. So, like Bill Gates led Microsoft for a long time. [00:34:25] Speaker A: Yeah. [00:34:25] Speaker B: And then he eventually stepped aside when they were in a lot of hot water with US Government. [00:34:30] Speaker A: Right, the government. Correct. [00:34:31] Speaker B: And so that seems to always be the catalyst where founder CEO, either they don't want to or how, whatever, whatever those conversations that happen, that seems to be the only thing that can, like, really motivate them to, like, get a different CEO. So sitting up Google until they really started to get deep into these antitrust lawsuits and had to do a lot of lobbying and just spend a lot of time talking in front of the Senate. Same thing happened there. Right. So unless, like Facebook. So my, my takeaway would be that, like, the only thing that seems to really dislodge the founder CEO from one of these major tech companies is there's some kind of regulatory challenge that just becomes just such a, like, distraction, I would say, for the business that this founder CEO is like, I just don't want to do this anymore. And which I think is very logical. Right. Though. We'll get Sundar. He'll go to Washington, he'll take care of that. You know, whatever happened at Microsoft, like, they got Ballmer up there, who I didn't think did a great job at running Microsoft, but, like, they were under a lot of pressure and scrutiny with US Justice Department, all that. Right. And I think Bill was like, I don't want to deal with that. Facebook has seen some regulatory pressure, but it doesn't seem to be. [00:35:54] Speaker A: Yeah. Remember the whole like, data leakage thing with the. Can't remember what that was now. [00:36:01] Speaker B: Yeah, he survived that, but the scrutiny wasn't this. I mean, like, look, Google went to court and that thing has been grinding on for like, a long time. And Facebook's not facing the same level of, like, antitrust lawsuits. They're not a monopoly. Right. There's other social networks out there. I struggle to at least frame them as a monopoly. But Google's, like, stranglehold on Internet distribution and advertising, I think is pretty acute. And so I think you can make. I do believe there's a credible argument to be made that they have some kind of monopoly. Right. And that stuff is not fun, like spending all this time with lawyers and everything. So I think that a lot of founders, like, just. I'm out. I don't want to deal with. I don't deal with that anymore. [00:36:47] Speaker A: All right, this. Should we move on? [00:36:50] Speaker B: Yes. What's next? Oh, my God. [00:36:54] Speaker A: Toby said about AI notetakers. [00:36:57] Speaker B: This is. This is the update, right? This is the clarification, right? Yeah. This is great. So if you have been following this saga on X, Toby's like, he said that having a note taker just pop up in your call is like walking around with your fly down or something to the. Something like that. [00:37:19] Speaker A: Yeah. [00:37:19] Speaker B: Right. And a lot of people replied, including me. I was like. I was like, you're the AI first guy, dude. Like, what are you talking about? [00:37:27] Speaker A: Right? He doesn't like AI note takers. [00:37:30] Speaker B: Right. That was what I said. It's like, give me the list of AI first things that you think are appropriate and give me a list of AI first things that you think are not appropriate, and I'll be sure to, like, follow your list, Toby. But then he followed up with this thing and, like, he has a point. I don't know. What do you think about this? [00:37:51] Speaker A: I don't think anything at all what this guy says. I mean, like, come on, it's great you're in Toronto. [00:37:59] Speaker B: Don't you see him for coffee or whatever? [00:38:00] Speaker A: Do I see him for coffee? No, I don't think he lives in Toronto. He lives in Ottawa. [00:38:05] Speaker B: Oh, he lives in Ottawa. [00:38:06] Speaker A: Yeah. He's one of the I have no idea millionaires that lives in our capital. Okay. [00:38:15] Speaker B: But I think his point is well taken because I have had this happen to me where I show up to a meeting and it's like 10 note takers and there's no people. [00:38:20] Speaker A: Right? [00:38:21] Speaker B: So I do get that. [00:38:22] Speaker A: Right. I mean, like, I'm trying to understand what his usage for AI note takers is. Right. Like, does he just not like the fact that people are showing up to meetings with it? Like, what does that even affect him? Doesn't he probably has, like 6 different EAs under him? A chief of staff that's like running his life anyways. Why does his opinion on AI note taker even matter? [00:38:51] Speaker B: It's. I think it's funny because, like, he's the guy that said, like, we're gonna do everything a first. We're not gonna hire any more people. [00:38:57] Speaker A: Right. [00:38:57] Speaker B: Figure everything out. AI and now he's mad that, like. But not AI, not to the meeting to take notes. Which I think when these first came out, this is like, I thought one of the best things that AI offered me was like, oh, my God, I hate taking. I hate, I hate taking notes. I always forget to take notes. It's important to take notes. If I had a tool that automatically did that. Excellent. And I never found there to be any issue with it just automatically showing up. I was like, that is part of the convenience. It automatically. [00:39:24] Speaker A: Right. [00:39:24] Speaker B: Shows up right. Like that part. And if someone doesn't like it, it's obviously in the meeting too. It's not like I'm hiding it. I suppose you could hide it. I don't do that. I think that's obviously inappropriate. But it shows up in my meeting and then you can say, like, let's boot the. The note taker. Great. No big deal. Right? [00:39:40] Speaker A: Okay. [00:39:41] Speaker B: I think there's already like an etiquette. There's already an etiquette for how to. [00:39:45] Speaker A: Right. [00:39:46] Speaker B: Use these things. And then heard some other. Which I thought were just completely ridiculous arguments like, oh, it's like legal discovery or we don't want to record everything. And I'm like, dude, what boomer planet are you on? This reminds me of, like, when email first emerged and people are like, oh, if you do everything over email, if we go, it's like legal discovery. They'll have to read all the emails. So we already have, like, basically everything being recorded digitally anyway. The idea that your meetings now get on someone's note taker, I mean, people could be recording the meeting anyway without your knowledge. Right. So the idea that somehow this is like a legal issue is just. I find to be completely absurd. [00:40:25] Speaker A: Yeah, completely absurd. So his clarification here is he's okay with AI summarization. He's just not okay with bots showing up to fake human interactions. Right. I'm not okay with bots joining as fake humans accomplish this. I don't care, man. Like, in a couple years, it's just going to be our bots talking to bots. Thoughts. [00:40:50] Speaker B: I. I feel like he. We have an example in the. In the. In in the document of a. A really good deep fake tool. But even at the highest level. Like, so what if something shows up to record it? It's not a real human. Like, I feel like we will clearly move beyond. That's why I think it's so ironic. This is the guy who, like, made this mandate, right? He wanted everyone to go AI first and do whatever they could and, like, move fast and break things with AI and now he's all upset that, like, someone has AI Avatar in a meeting. Like, come on. [00:41:21] Speaker A: Right? So he's okay with AI improving efficiency everywhere else, replacing jobs. Not okay if he gets tricked when a fake AI shows up. [00:41:36] Speaker B: Like I said, it just seems very arbitrary. It's like, toby, send me the list so that you decide these are the AI things that are okay. These are the AI things that are not okay. Okay? And like, then we'll all know. [00:41:45] Speaker A: So now what we should ask him is this. Is he okay with Neo, the home robot? [00:41:51] Speaker B: Oh, my God. [00:41:52] Speaker A: Dude. [00:41:53] Speaker B: So I watched the whole video. Did you watch the video? [00:41:55] Speaker A: Totally. [00:41:56] Speaker B: It's not cool. [00:41:58] Speaker A: It's. It's not cool with you. Not at all. So first of all, watch. [00:42:03] Speaker B: Yeah, good. You. You. [00:42:04] Speaker A: So first of all, just to clarify to anyone who's listening watching that they don't know what Neil, the home robot is. Is. So it's a humanoid robot that's remotely controlled by somebody somewhere, right? Either the company hires or somehow. And of course, this person will have to be able to see into your house, be able to control your robot on the. From the other side. And this is kind of like this company came out with the robot. It's $500 a month or $20,000. The pre order is ready to buy today. Okay, Take it away. What do you think? Dude, I. [00:42:46] Speaker B: So I. So this video makes it look cool, right? But there's a Wall Street Journal. [00:42:50] Speaker A: Uhhuh. [00:42:53] Speaker B: Expose. Or I think it's supposed to be a product placement. Or like, so they talk with this guy, right? And they have like a Wall Street Journal reporter, and she gets the robot and tries to use it, right? Like, dude, it's. [00:43:05] Speaker A: It's. [00:43:05] Speaker B: It's lame, dude. She's like, can you put the glasses in the dishwasher? And it takes like 10 minutes and things like. [00:43:13] Speaker A: Get the glass. [00:43:14] Speaker B: And it's like, I can't do it. Like, you can't do anything. And then it's not actually autonomous. It's not like a person with glasses and like driving the thing the entire time. [00:43:27] Speaker A: Everything Correct. It's remote control. [00:43:30] Speaker B: It's stupid. [00:43:34] Speaker A: But okay, so the. So the product. Fine, right? It's not the. It's not the autonomous robot that does all of our chores automatically that we were expecting. But is it a stepping stone towards that? Like, because we're solving a lot of problem. We're solving both the intelligence problem and. And the advanced robotic problem. Right. And this company is saying, let's solve the advanced robotics problem. Let's see if we can create something that comes into your home for less than $20,000. [00:44:10] Speaker B: This is the lamest thing I've ever seen. It's a fake. [00:44:13] Speaker A: Absolutely no fe. [00:44:16] Speaker B: A fake robot. The guy driving it. So you still gotta pay the guy to do it. And then it doesn't even do anything. Well, like, what does this robot do? Like, well, like, does it do one thing well, like, make the bed and bed's perfect? Like, that'd be cool. It'll do anything. [00:44:31] Speaker A: Well, keep your grandparents happy. [00:44:34] Speaker B: I don't think it, like, looks cool, personally. Like, I. I don't think it does that. Well, like, the carpet face. What's up with that? [00:44:42] Speaker A: Supposedly it can do your dishes, clean your house. [00:44:46] Speaker B: I. Yeah, I had a robot that I borrowed because we're poor when I was a little kid, I don't know, nine. So in the 80s, they marketed these, like, home robots that just looked like kind of an R2D2 thing and had a little arm and stuff. [00:45:02] Speaker A: Yeah. [00:45:02] Speaker B: And you could kind of program it. Like, I mean, dude, we've had these kind of, like, entertainment, like, homebot things for a long time. [00:45:10] Speaker A: Right. [00:45:10] Speaker B: And, like, it didn't look like a human one, but it was just as useless. Like, I played games with it and it was kind of fun for like a week. [00:45:17] Speaker A: And then. [00:45:17] Speaker B: I don't know why we even had it for a week. Someone knew that I was into it and so I was playing around with it. So a little, little 80s robot, it was kind of. It was fun and cool. It was cool, but, like, I feel like it's the same thing. It's just like a gimmick. It's a guy, like, autopilot or piloting this suit from some other place. [00:45:36] Speaker A: Right. [00:45:36] Speaker B: And it takes 20 minutes to put one glass in a dish dishwasher. It's not useful at all. [00:45:42] Speaker A: Right, Right. You can't. I don't know, man. I'm. I. [00:45:50] Speaker B: Okay, I had enough. [00:45:51] Speaker A: I had enough of this one. Yeah, I had enough of this. I have no opinion enough of this one. [00:45:57] Speaker B: I'm not impressed by it at all, but I am impressed with this thing. This is like, dude, it's. It's completely indistinguishable from real life where. [00:46:22] Speaker A: We'Re there, we're, we're. We just crossed the uncanny valley. [00:46:28] Speaker B: Like, is it only me? But is it. Is it creepy that he's doing a girl? Like, look at the guy in the corner. [00:46:36] Speaker A: No, of course. This is, this is. [00:46:40] Speaker B: This is Crypto influencer or something. [00:46:43] Speaker A: We just have to accept that this is real now, I think. [00:46:47] Speaker B: Yeah. I mean, whoever reposted this, we're screwed. It becomes indistinguishable from reality. Ali's 1.2.2 lets you stream without showing your face. It maps your voice and motion onto another face. [00:46:59] Speaker A: Yeah, this is the Chinese. So it's released by Alibaba called 1.2.2 real time replacement of your face with. [00:47:09] Speaker B: What do you think? What do you think? What do you think Toby would think of this? Do you like this? Maybe this is what he's complaining about. Like, he posted this and been like, dude, this is not cool, man. Like, I can't believe he came to the meeting as a girl. Like, oh, my God, I should have showed up today with this thing. Like, hey, right, for Halloween. It would be great. Yeah. Oh, my God. See, these things will be fun. I think, you know, you could come as like a witch or whatever. It'd be kind of cool. [00:47:41] Speaker A: Sure, sure. But then you can also use it for lots of different things. Right. Nefarious things, misdirectional things. Obviously, I am. It's. [00:47:53] Speaker B: It's a. It is incredible technology, though. The quality of it is. [00:47:57] Speaker A: Right, right. [00:47:59] Speaker B: It's impressive. [00:47:59] Speaker A: It's super impressive. It's real time. It's. I don't know. It's scary. It's scary. Which, which also kind of goes back to you. You've been seeing this for a while now is there will be a huge industry of recognizing AI content. [00:48:17] Speaker B: Oh, yeah. I mean, maybe that's where the new jobs are going to come from. [00:48:24] Speaker A: Right? Like human verification or some kind of verification. [00:48:28] Speaker B: Yeah, yeah. So I think, I think this is a. I mean, it's funny, I've talked about this for years now. Like, I think there will emerge category of tools that are used to authenticate content and maybe this becomes a giant industry. If there's going to be so much fake content out there. [00:48:42] Speaker A: Yeah. It's gonna become. Yeah, yeah, yeah. This is. This is the theme of our storyline of Blade Runner, you know? [00:48:54] Speaker B: Yeah. You'll need a way to authenticate stuff. I know. I think there'll be. I think. I mean, I could can see it being an enormous industry where there's lots of levels to it. Like is this an official government communication? Like that needs us a very like high degree of certainty. Then you would have like maybe the next level, like the news, like the news doesn't need to be quite as like strict or as I don't have to have quite as much confidence in it as I do like in a military or presidential decree. [00:49:23] Speaker A: Right, right. [00:49:24] Speaker B: But it needs to be like pretty. Then we need to have a lot of confidence that's real. And then you keep going. It's like if you and I are chatting, like I pay to just make sure that we're having real conversations and someone didn't like take over your identity and then is like trying to spoof me or something. [00:49:38] Speaker A: Exactly. [00:49:39] Speaker B: But all that stuff's going to emerge. It's going to emerge, I think. So I'm going to happen pretty quickly. Right. We see those, those demos are out there now and there's no way to fend off any of this stuff at the moment, like. [00:49:50] Speaker A: Correct. Correct. Crazy. [00:49:54] Speaker B: So there's a big news item we didn't. Oh yeah, we got. Okay, great. We didn't talk about this one yet. [00:50:01] Speaker A: Okay. So I think we all knew this was happening and it's. It would be dumb for chatgpt, OpenAI not to do this. This which is to roll out a ads platform. Advertisement platform. Right. If it's true, this will be massive. [00:50:21] Speaker B: Yeah. What if this is like a screen capture of someone using Test Flight, which is a testing app. [00:50:28] Speaker A: Yeah. [00:50:28] Speaker B: So Test Flight, a beta version of a mobile app. [00:50:31] Speaker A: Correct. [00:50:32] Speaker B: And they're test the. If this is real, someone could have mocked it up because we don't have any blockchain or way to authenticate content right now. We believe this is real. It could not be real. It's a tool to let you download a test version of an iOS app. And so this would have you believe that OpenAI is testing version of the iOS app that has some type of ad product in it. [00:50:58] Speaker A: Yeah. Right. I mean I think this is coming. I think. [00:51:02] Speaker B: So what do we know? We know perplexity tested ads and actually killed the whole program. Not sure what happened there. They won't say. I know that there are other people out there who have LLM chat based ad networks right now. So for other chatbots that are like not perplexity, not chatgpt, but other third party ones that have a lot of scale, there are people right now that have ad networks that do monetized threads inside those tools. [00:51:36] Speaker A: Right. [00:51:37] Speaker B: And I've spoken with some of these people and they Say they're really effective and the experience is fantastic that you get. People are having a chat with like a brand or a product. Like it's an excellent form of advertising. I have heard rumors, I've heard anyone specifically working on the OpenAI one, but I've heard rumors that they have similar results that what they're doing like it works really well. What do you think, Paul? [00:52:08] Speaker A: Yeah, this is if you, if you can figure out a way to naturally working a product placement into, into a conversation that somebody's having with ChatGPT like it's, it's a no brainer, absolute no brainer. I don't know what the format is look like right? Is it a banner ad? Is it like just a stop the conversation, I should find one. [00:52:30] Speaker B: So they are out there so you could look at what other people are doing. And so my guess is that OpenAI's stuff would be similar. So what I heard was that somehow when you do the search there's either an option or it gets flagged that you're now in a monetized thread, let's call it right. So the way that those work, those threads and so I would assume it's like you do a search for like I would like to get recommended some sneakers or some shoes. You do something that obviously they can detect as being a possible fit for advertisers and then they throw you into a monetized thread and you could like click out of it. There's, there's some way to get out of it too is my understanding that you, you go into it, but like you go into it and then you start having a conversation with the brand or the product, whoever, which like I actually think it's great experience from like. [00:53:24] Speaker A: A great experience perspective. [00:53:25] Speaker B: Yeah. So you're chatting with it, you could tell what you want, you have it in the size it's not and then the advertisers get all that information they use to optimize the advertising. I know most people are like, I would say perhaps overly paranoid about data collection when it comes to marketing and advertising, but I tend to be somewhat obviously on the other side. And like I would always argue that like having that data allows people to do a much better job with that stuff. So it's a lot less irritating and annoying, which I do know people appreciate even though they might say they don't. [00:53:56] Speaker A: Right. Yeah, let's see. I have no opinion because I don't know how annoying the advertisement would be. [00:54:05] Speaker B: So here I think this all ties really well into this OpenAI lays groundwork for Juggernaut IPO at a $1 trillion valuation. [00:54:15] Speaker A: Right. [00:54:16] Speaker B: It's a lot of numbers, a lot of dollars. [00:54:19] Speaker A: That's a lot of zeros. So the real question here is, do you think ChatGPT or Open AI is what Yahoo of AI? [00:54:31] Speaker B: Yeah, that's always been. My take is like, I don't know if I say AOL maybe. I think they're like the Yahoo and I mean that and actually very complementary. Yahoo was a really successful company. [00:54:42] Speaker A: Yeah. [00:54:42] Speaker B: Made a lot of money. They, I really admired them. They were very early and had a great run. I think they kind of lost their way. They made a few missteps here and there. It's very famous that they like turned down Facebook. They could have bought Facebook and they only want to pay 800 and Facebook 1 billion. They didn't do it. So there's a few things that happened that along the way were difficult for them and they kind of faded. But they're an excellent company. So OpenAI is the Yahoo of this era. Like that's an excellent. An excellent. It's very complimentary in terms like what I think of their business. I think they're Yahoo because I think they're really early and I think that like something else. The technology evolved and they're also doing a kind of one stop shop type of approach for Yahoo wanted to be the Internet for everyone. It turned out that there were like lots of different people with lots of different ideas about what they wanted out of the Internet. [00:55:39] Speaker A: Right. [00:55:39] Speaker B: Yeah. So I guess that's why I think OpenAI is the Yahoo of the Internet that they're trying to just provide a one size fits all solution approach and solution for advertising for artificial intelligence. [00:55:54] Speaker A: Right. So they will be around for the next 10 years and then AI is going to fragment and they're going to lose around the of this. [00:56:01] Speaker B: That's. Yeah, basically. Yeah, that's what, that's, that's what I think. I think that they're like, for the like average person, they're still like relatively new. Right. There's only 40 million paid users. So I think for the average person this will catch on, this will grow. They still have the largest market share in AI, right? No, Google's catching up. [00:56:21] Speaker A: Right. [00:56:22] Speaker B: But at some point I think it'll, it'll fragment 100. There'll be a lot of different solutions out there. [00:56:27] Speaker A: When there's like, when there's like a billion people using AI, maybe a couple different game. Right. It's gonna completely fragment. That's just how technology Always works. The first, like, 100 million, maybe the entire U.S. you have a monopoly, and then it's gonna go global and suddenly you're not gonna be. Yeah. [00:56:48] Speaker B: All right, should we end on a few memes here? [00:56:50] Speaker A: Let's do it. [00:56:51] Speaker B: Should we do this? TikTok? One of the. We should. I think this is fair game. I. I don't like to tear. I don't. I don't want to be too negative or mean to people, but, like, dude, this guy, he. He says in the video he's the zero of snow, and then he reveals a bunch of, like, confidential information to a tick tocker on the street. Like, do not recommend this. I do not recommend this. I was very surprised. [00:57:20] Speaker A: Yeah. Quoted a 2027 revenue guy on a TikTok video. [00:57:26] Speaker B: Do you know who this tiktoker is? I don't know. [00:57:28] Speaker A: Yeah, he's. He. He goes around and just, like, asks rich people questions. It's cool. [00:57:35] Speaker B: It's funny. In the video, he. The. The guy totally knows who he is. [00:57:39] Speaker A: Right. [00:57:39] Speaker B: And he's, like, excited to talk to him and stuff. [00:57:42] Speaker A: Right, Right. [00:57:43] Speaker B: So this is. This is easy. Like, you don't want to be in. You don't want to be Internet infamous for revealing confidential information or perhaps even maybe violating securities law if you are. [00:57:57] Speaker A: Oh, he totally. [00:57:58] Speaker B: Executive of a billion dollar public company. [00:58:02] Speaker A: Totally. This is. This is actionable intel. Yeah, this is actionable intel. [00:58:07] Speaker B: I got a couple other good ones. The meme section today is going to be. This is good. This is one of my favorites. I don't know if everyone. So, like, Jason is all like, oh, all these AI layoffs. Like, too bad for you. Figure it out. Like, this is, you know, frontier capitalism. Be a cowboy, comma, entrepreneur and someone. And so. And I'm a big fan of Jason. I listened to his podcast for years. I remember him back in the 90s in New York. Followed him for a very long time. A lot of things I do like about Jason, although he might be to some degree unpopular these days, but yeah, he. But I did. Go ahead. [00:58:48] Speaker A: He has a finger on the pulse for a lot of, like, these. These things. And he. He creates, like. [00:58:53] Speaker B: I agree. [00:58:54] Speaker A: Right. Like, he gets what people thinks about, which is really, really rare for, let's say, a billionaire. I don't know how much he's worth. [00:59:03] Speaker B: I. I could deeply relate to him. I understand. He's. [00:59:05] Speaker A: He. He. [00:59:06] Speaker B: He for real, is like a regular guy like me from New York who just always loved the Internet from the very beginning. [00:59:12] Speaker A: Yeah. [00:59:12] Speaker B: Took a lot of, like, wild Swings. And like, he had. [00:59:15] Speaker A: He made it. [00:59:16] Speaker B: He even said their day. He's like, he was lucky 12 times. And I appreciate that. That, like, he's very honest about. About that. [00:59:23] Speaker A: That's hard to do. [00:59:25] Speaker B: He knocked the. It is hard. It's. You know, he took a lot of swings and some work. I think it's. I think it's excellent. I think it's fantastic. But I do, I do, I do agree. This means that, like, when Silicon Valley bank was collapsing, Jason and Sachs and all those guys are crying like, oh, my God, bail us out. Bail us out. Right? But then the minute that AI comes for other people's jobs, Jason's like, come on, suck it up. So I thought this had some. I think there's some truth here. Really good rum, some truth here. And then I got my. My meme. I think this might be a little controversial, but I'm going to do it anyway. We should have more students crying, make school hard again. Like, dude, school is too easy. Like this article about Harvard students, like, saying how it's cutting into their yoga. I mean, like, this is insane. Dude, you're the one who told me that, like, you had PTSD from school was so hard. School should be hard. [01:00:31] Speaker A: School should be hard. School should fail half of your class. [01:00:37] Speaker B: I think it should be difficult. Like, school should not be easy. And. And students should not be complaining that they're making it too hard for them. Like, it should be difficult. [01:00:46] Speaker A: Right? [01:00:48] Speaker B: And so I. I don't know if you know what this sweatshirt is. Do you know what this is? [01:00:52] Speaker A: No. Explain. [01:00:53] Speaker B: It's. It's the one that Gary Tan was weighing that says we should have more billionaires. And it's like the pro free market, pro capitalism campaign that some people are doing. So I, I turned it with chat GBT into the. Like, we should have more students crying. My pro challenging education campaign. [01:01:15] Speaker A: Oh, my God, that's hilarious. I feel like every single generation, like, I do feel, but isn't this the whole point is just make the next generation do less work? You know, like, maybe they should get to enjoy life during school and not do any work and still be successful. You know, maybe that. That's the whole point of technology. [01:01:42] Speaker B: No. [01:01:46] Speaker A: All right, why and all that. Why end on that?