I was coming into this going, oh man, Sam gets to be called right on a whole bunch of vectors. And I think, oh, this is my favorite. Let's talk about this for the rest of the episode. But all the ways I've been right.
Hey guys, welcome to more or less this week coming to you from my iPhone because I can't figure out my home wifi. How's the wifi in the pool house? Apparently my desktop is just stopped logging in to Riverside. So we have some Riverside issues. We're going to have to figure out. I upgraded Chrome and it just will not log me in. So just to be clear, the lessons have less good audio this week and less good tech and the more. Let's get technology. The more we are not good at the tech. Have our mics ready. I will take that.
大家好,欢迎收看本周的《多多少少》(More or Less),我用我的iPhone向大家传递消息,因为我无法弄清楚我的家庭无线网络。游泳池小屋的无线网络怎么样?显然,我的台式电脑已经停止登录Riverside(可能是某个网站或应用)。所以我们有一些Riverside的问题,我们需要解决。我升级了Chrome浏览器,它就是无法使我登录。所以,明确一点,本周的课程音频质量较差,技术也不是很好。让我们更加注重技术。我们在技术方面还需要改进,但我们已准备好麦克风了。我接受这点。
But how are we guys doing? I there's been a lot of activity this week just happening in the world. A lot of cons are going. You guys were at Seinfeld and John Mayer to get that right. And you guys were at Seinfeld, right? You were. It was hilarious. We also that night you were at Seinfeld. We went to the Warren Miller film premiere for anyone who likes skiing. That was happening. I feel like Warren Miller is not what it once was.
What? Sam, what a hair tech. You know, Sam, that that was true for many years. But this years was actually quite good. It gave me all the all the feels. They did a 74 year retrospective on Warren. So it was like full of lots of. They did the big Nissan commercial again. I feel like there was like years. Basically just a big Nissan. What a Subaru or something. No, it was it was more retrospective this year. It was great.
Who was Warren Miller for the people who don't know? Not all our listeners. If you don't know who Warren Miller is, we've just like stop listening. It doesn't matter. Yeah. Oh my God. Whatever. Listen, I did not know who Warren Miller was until I met Dave Warren. So Dave explained.
Warren Miller, you know, for 75 years or I guess he died a few years ago in 2018, but he made the very best ski movies kind of pioneered. He was like the skiing sports great marketeer. He was the storyteller. Well, for many years, they were the best because they were the only. Yeah. And then a young crop match stick and TGR or whatever came in blue. Warren Miller out of the water. Yeah. But and they had some corporate drama. Yeah. It's good. We're back at it. Warren's always always had the good humor. You know, I always love the humor of a good Warren Miller movie. Yes. Yes. They always had the good people doing stupid shit on skis was always their best segment. But it was nothing compared to Seinfeld. That was one of the most hilarious things I've. I think we had some different jokes. I heard some AI jokes on Twitter. I don't think we had the level of AI jokes that you had. Oh, yeah. He did a the whole opening bit was both phones. He did phones and then he did AI. That was so good. The phone was about how like you don't know something happens until your phone tells you eight years later that you were doing the thing. Yeah. I love that. I also love that he kind of comes out on stage and just says, I don't care what you do with your phones. Yeah. Everyone take out your phones and then I noticed actually everybody did and then they put them away. And so it was kind of a genius master move in comedy. I thought versus Chappelle who like made you put it in a weird fucking pouch that you can get out. Yeah. Yeah. Yeah. I thought it was a.
Can we talk about this for a second? I'm curious in your couple relationship and if you're a marriage like are you if you go to a concert, let's say John Mayer, like, do you have your phone out most of the time recording the concert? Where are you like participating in the concert? Because Dave takes amazing videos, but then I were I worry for him while I'm trying to enjoy the concert that he's not getting the most out of the acoustics.
You know, I was hoping she would say this because last night I was very restrained in my restraint last night. Yeah. Well, Brit was texting with, you know, some mutual friends of all of ours for like basically the entire concert. We were texting about how hot John Mayer is when he plays a guitar like that, by the way. For women, it's hot. Yeah, I don't, Sam, I don't think we're like hold up our phones record live experience. People, are we? No, but I'm not exactly known for being in the moment either. No, but you know what? We're going to talk about that later. That is not a public conversation.
But, but Dave, isn't this like all your AI hardware that's going to like make the screen vanish? Now I understand why you like it because. I don't know. I guess, look, I'm a photographer. So I kind of at concerts, I always try to do good photography, but I actually have shifted my MO on this. I try to get a couple of good ones and then be present for the rest of the concert. And then just beatbox the music too. What, well, we're on this. I assume I'm the only person who rushed to watch the season finale of the morning show. Not true. Exactly when it came out last night. No. I kind of pretend like she was trying, but she didn't try at all. They market that it comes out on Wednesdays. Apparently it's midnight Wednesday. Everybody knows. It's actually earlier. Anna was at a John Mayer concert. Okay. What? Okay. Well, this was just. That's dedication. This was missing. Well, that's like how the market of the Green Day tickets weren't available until today, but I bought them last night. I don't know what's going on.
Ooh, we're going to Green Day. Are you sure that as a reporter, you don't get early access? I'm positive. Apple doesn't give me any early access. Wait, business model innovation. How much more would you pay to watch the morning show one day ahead of the rest of the world? I probably wouldn't because it, I don't need to. Man. It don't need to be first or something. I just like, I just got to say. I don't know what's the few others of this show, but I cannot.
Every time it just sounded like the morning after pill to me. Like the title sounds like that. Not what the show's about. And look, I got into some hot water on the X because I was praising this and a lot of people were like, it's fucked. But there were some week episodes this season, but Billy Crudup, did I get that right? We saw their food. Like, I can't believe anybody was saying that. It's fantastic. They can act. It's fantastic. And the season finale, there's so many moments and it's not, they don't know anything to do with the news business, it's to do with relationships. Such good acting. Unbelievable acting. This is a past for me.
This scene is, well, the reason I could watch this without Sam is because I have COVID and he does not, hence my sultry voice and why I watched The Morning Show because Sam is not into this, but acting is just so good and just major props, major props. You just like John and I. John and I agree. John and him is fabulous. I just have to say. Sam, turns out you're less morning show. I understand. You know, Sam, I initially thought John and him may not be good in this role, but I think he really delivered. Just crushes it. And he's playing, I suppose we should talk about technology.
I suppose we should. John Hand is playing the Elon Musk rocket maker of the episode. His company Hyperion is supposed to be space that. So although he seems more Bezos to me. No, he's definitely Elon. No, no. I mean, he's one with a little bit of Bezos. Yeah, he seems like a hybrid to me. Dead. I mean, this is not one minute. Show this season, walking by Jessica, watching it. And John Hand was like making an omelet than morning after they had sex, I guess. And like what like the Elon Musk does not make omelets for his significant others. Any number of them. That's why I'm saying Sam. This is it's a new character. It's a hybrid. Yeah, this is your point of oh my God. Well, just to the it was so good. Anyone who wants to discuss this in our back channel on the internet, I'm there for it. I'm looking for people. I've been tired for days.
It's been about Moss and somehow we're to get it from that to the morning. Hey, we need a way to get the women to speak. I couldn't bridge. I couldn't find a bridge. So I left. But that's why I need you guys. You should drop into a bad channel. Complete non-segment is like intense political conversations like, Hey guys, John Hand morning after peptides. Let's see how that goes. I don't know if he's a pet type or not, but it's working for Jennifer. I mean, Jennifer Aniston who is hasn't aged a day since Rachel on front. You told me that she's a great asset to keep showing that. Yeah, she's been naked a few times. Yeah, I would agree. She is the whole thing. And like, I just you go, Corey fucking Ellison, right? That's the line. Everyone. Just hold that in your head as you watch this. I'm never going to watch this. I'm never going to watch this Nor will most of our listeners. So just give me the one lighter, which is at the end of the season. No, no, no, no, no, no, no, no. We are not doing a spoiler, Sam. I'm sorry. I'll go to the pool house after this and give it to you, but it's just, it's just so good.
Okay. What happened in the world? The technology this week. What happened? We had AI, OpenAI Developer Day. More interesting than I thought. I experienced OpenAI Developer Day, which I appreciated, but several people on Twitter saying, Oh my God, Sam, lessons right. And I didn't know what that meant, but I think I pieced it together, which, and I always appreciate praise. I think the idea being that OpenAI has now swiped all these AI startups for sure and being an AI startup is a bad idea, which has been my line for a while. Is that basically right?
Yeah, I was, I was coming into this going, Oh man, Sam gets to be called right on a whole bunch of vectors. And I think, Oh, this is my favorite. Let's talk about this for the rest of the episode. But all the way, I've been right. But I think that you also have to give OpenAI serious credit for being in just absolute beast mode right now. This is one of, I think, the most impressive developer platform launches since maybe Facebook platform, if I do say so myself. And it's just unbelievable the amount of stuff they're putting out there. And while I think, Sam, your perspective has been broadly correct that, you know, be careful which business you're getting into and which startups you're funding. I do think that another aspect of our conversation, which is the creator economy and how these new tools are going to be used by my, you know, smaller entrepreneurs, micro entrepreneurs is actually quite an interesting conversation.
Can you, can you read from this with me? Because I actually haven't get as much attention to this. What like, what are the dig on locks for small businesses that are now?
So like just a couple hours ago, actually, I had like thousands of women on a zoom webinar. And I was for this, for self-made, which is a women's business accelerator, I help run. And I was explaining to them how what you're underplaying it.
Tell everyone what self-made is. Self-made started in the pandemic when millions of women were laid off or furloughed from their jobs. And I decided to help them just become entrepreneurs instead to make their own revenue and have flexible hours, et cetera. Most of them are small business entrepreneurs and not necessarily venture scale, some are venture scale. Real entrepreneurs.
Yeah. And I was like, ladies, if I could reach through the screen, I would have to shake them and be like, wake up. This is your moment. Like, this is the time, like just yesterday, you know, now there's like GPT apps that you can create and bots and, you know, all these different things.
And, you know, if you are first to the punch here, like, there's such an opportunity to start monetizing in so many new ways and to not have to know how to build an app or something like that and to have AI help you do things like, I mean, I thought what Sam demoed, it was really interesting, right?
Like, he took some lectures from his Y Combinator days, right? And he uploaded them. And then he made like a Ask Sam bot, right? Which was like, ask him a- A VC advice. You guys are out of a job. VC advice bot or something, right?
And- That's exactly what the morning is. VC advice bot. Thank God. That was what I was thinking. I was just saying, it was, it did it in a matter of like a minute, right? And so it just blows your mind.
It was impressive. The power that can exist and how people can take advantage of it and monetize from it now.
这真是令人印象深刻。现如今,力量的存在以及人们如何利用并从中获益,这一切令人惊叹。
So what's the monetization plan as you buy these bots and they talk to them? You get like, after revenue share.
那么,在您购买这些机器人并与它们对话的过程中,有什么盈利计划呢?您会从中获得类似的收益分成方式吗?
I mean, basically, so you guys will remember when we had Scott on the podcast and we talked about agents, right? And agents are going to be everywhere. You're going to have AIs to do this and AIs to do that.
And I think, again, it's a compelling demo experience version one, but to be able to create a GPT and train it on literally, like he opened his computer and dragged his lectures into it, right?
Like, I instantly thought for some reason onboarding. Like, we have so many onboarding docs with information, like so many, what's information story? I've written about it in a million times. Our team has talked about it in a million ways. A basic thing.
It's not going to replace having your onboarding session, but just like a little GPT. Very, very, very, very, very well.
它不会替代你的入职会议,只是像一个小型GPT(文本生成模型)一样。非常非常非常非常非常好。
I love that they've managed to brand GPT as their thing. That's very clever. I know. I thought that was a little funny, too. It's like, but that point is, so do they get access to all these? I actually just haven't followed this.
So the idea is, I bet not all of our listeners have, you get to take all of your content, you chuck it into a bot that you instantiate, and then basically people can chat with that bot and they host it and you can charge for it. Is that basically it? Yes.
Okay. Do they get access to the content? Who owns the content? That's up to the creator. There are privacy controls over the content. You can set your own policies.
好的。他们可以获得内容吗?谁是内容的所有者?这取决于创建者。内容有隐私控制。您可以设置自己的策略。
Is there any reason that the creator would have been incentivized to let open AI have access to the content? I guess it would be up to the creator, right?
有什么理由让创作者有动力让Open AI获得访问权限呢?我猜这取决于创作者,对吗?
Do they think that they're. But is there any data that's letting open AI have any access to it? I'm not sure. It's a great question.
他们是否认为他们是。但有没有任何数据让开放AI可以访问?我不确定。这是一个很好的问题。
There's also. The rev share is a little murky because it's a cut. I think that's a good question to look into understanding the subscription rev share a little bit.
Obviously, there's also. Is there a subscription over the all or do I charge my own. Is it a bot that I'm selling and they get a cut or is it like I get some adhesive? It's like the Apple App Store. It's like the App Store. Yeah. It's a bot that they're selling that both sides get a cut. Okay. Interesting.
And then there's also Sam. Enterprise customers can also deploy internal only GPTs. No, is it basically the story of instead of writing a book because no one's going to read my fucking book anymore, instead I just basically dump my book into GPT and look at the conversation at all? No, because it's push versus pull, right?
If you want to push your book onto people versus force people to ask questions that they don't know what to ask you about. You will definitely create a Sam GPT. I'm surprised you have that. Of course I will. I'm starting to have actually.
But this is the thing. This is my question. Obviously, I'm actually curious in terms of how this will play out because I totally get this idea that like. You take a book, for instance. There's a talk to an author type thing. You can read the book, which is the story I told you, or you can just be like, hey, here's a corpus of stuff I've generated and now ask you questions. I believe that's a thing. But it's not a hundred. It's the same thing with a knowledge base for how to use an app. If you said, okay, instead of your documentation, O'Reilly style, it's like I'd rather have that in a Q&A-able thing. I get that. But it is an interesting form factor in terms of how people actually buy and interact with these things. It basically is just content with a different index into it.
Yeah. I was thinking about this because I started messing around with. I started actually trying to write a therapy bot with content that I'm just aware of. I started working through it. Really that's what I came to is that, okay, now basically every author on Earth can take their book content and put it into one of these bots and monetize it in another way. It's yet to be seen how incrementally valuable that is on top of the picture. It's just like, Jess, you run a subscription business. You're going to dump the entire information archive into one of these things that people can ask questions in every article you're written or. Sure, why not? Practically speaking, I'm actually curious, is this a very obvious use case for some of my. I would charge a lot of money for it. I'm going to make a written co-bot, too. But it's easy. Anyone who has content will just dump it in. The question is to me, what's the distribution and why are you. What's the value of it? Yeah, well, I think. These are all excellent questions.
I think that the use case of chatting with a bot is going to exist, but I don't know how mainstream it's going to be. I have one big question now. It's like, what is the usage of borrowed? What is the. I mean, chat GPT, obviously we know. Information is reported a lot about their revenue surging and opening. I mean, people are paying for this stuff. Companies and small businesses are paying for it. But I haven't seen the chat bot interface go through the moon yet. But I do think it will gain more traction. Do I think it's how people are going to want to consume their news? No. But do I think for our $1,000 pro tier, doing some of the. It's a cool software product that some people get value out of. Absolutely. I mean, what's so impressive, and again, it was a good demo, is they made it seem really easy and really easy to refine with natural language. I think that's an interesting idea. Again, I should watch it, and I'm sure it is a cool demo. And I just think it's like, the fact that it's easy to make is not in and of itself making it a compelling product. It's cool. But I'm very curious what the actual. Are people going to pay more for the book that instead of it being read to them, or they're reading it, that they can just ask questions?
Here's what I think. I mean, information subscribers are also subscribing to the information for knowledge. I mean, they're doing it to stay ahead, but we're a business publication. And people are querying us to be like, have you written about this company and what's their latest revenue? Is it a good phone? I mean, basically being like the information's.
Yeah, the information search function already, we moved over to like using some GPT based stuff, and you're like, look, and this has always been the obvious idea, which is like, you don't really want the results to be articles, you just want it to be answers in your search function, I think is completely fine, right? And like, reasonable.
I am curious the depth of use on that, right? And the form of the algorithm actually working, right? Also, there's like the product experience. Like, Jess, I'm curious how this will work. It's like, I totally get why you have a search function on your website or in your service. Obviously going from search for a specific article result and then read the article is way shittier than just like the one box answer, right? If you have it in the archive. But my understanding is that is it an API based thing, or are they going to ask you to actually load like an app?
Okay, it's an API, right? So you just dump it all in and you can pull it back. Yeah. So you end up using it for one box is I do wonder though, like, that's interesting. How does that work with a subscription model? Wouldn't it just be like a paper call type thing, then? Well, you can decide who your this GPT is visible to, right? You could make it private and make it public.
So in the same way, like you could have your app, right? But it's saying, can you do this? Can you forget the bot thing where like you want to use the conversational interface? Like, is it set up in the current iteration where it's just like, you can dump your entire archive it and do the one box results on an API? So you just submit the question. I don't know how much you can dump.
Yeah. I mean, basically they're going to use this to obviously drive their enterprise business when they make their money. So yeah, I mean, Sam dragged like a speech into it, right? So yeah, Sam, I think to answer Sam's question, I think the, in the, you know, we've been talking about the assistant or I'm sorry, the GPT's functionality, which actually, if you look at their blog, they have two separate blog posts and GPT's is kind of called out as its own thing, which is almost consumer grade, which I think reflects how we're talking about it. And then there's a separate post, which is all of the new APIs and, you know, new models and et cetera.
And there's actually Sam to your question, a new API called the assistance API, which effectively is exactly what you just asked it. You know, it includes, you know, calling that function or that API call gives you access to code interpreter. You can use the retreat, the retrieval engine. So you can augment the assistant with knowledge from outside their models. You can search on proprietary domain data, product information, et cetera, all the kind of stuff you're saying. And then you can also invoke other functions. And so you kind of have like an assistant API that you can call and sign your app.
Like the current way you do this, right, with open AI or really with any of these types of systems, right, is you say, okay, you can't possibly put your entire content library into like the buffer, right, of these chat. There's just no chance, like even if you expanded it, like not even close. But what you do is you dump it all into a graph database, right? And you do it in two steps. Step one is you say, okay, you basically do like a graph, you know, I'm sorry, a vector database, not a graph database. You put it in a vector database. And like you basically do, you do the embedding, you get it back, then you pass the query and you find like the 50 most relevant documents. And then you basically take the 50 most relevant documents and you chuck them into like a GPT style thing, right? And like say, hey, summarize this 50. So basically you do like a crude search to get like the kind of right area you're looking in and you do a narrow one.
It's obviously better if you don't have to deal with infrastructure. You'll be like, here's everything I know. Like do all that shit for me. I am curious how it's actually working in the background, right? Like, is it just doing that? They just packaged it up in a way that like you as the developer don't have to think about basically doing those two steps, right? Or is that something? I think the answer is yes, Sam. And I think the other thing that they've done is they expanded the context window. So the context window is now 128 K. But that's not a.
To use your example, I mean, 128 K is like 300 pages of text, right? Yeah, but that's not that much. 300 pages of text is great for the for the refined search, right? So like I like take just like the corpus of the information articles, but probably what 10,000 articles just is sure at least. Yeah, whatever it is, right? You can take that. You can say, OK, in bed at all, do the vectorizing stuff, right? Like pull back for 300 pages, the most relevant, I don't know, 30 articles. So what to step back for a sec? Is this a kind of like app store Cambrian moment for this stuff? Like what do you think, Briff?
I have two thoughts. One is that I think there continues to be not a meaningful venture play, but like a new job type, at least that will exist in this interim period, where like a lot of non-technical companies, I'm thinking of like all the recipe sites out there or something, right? Like they have technical teams, but like they need an AI interface person to figure out how to start using these things together. BuzzFeed did that and it didn't work, but OK, let's go back to that. I'm just saying like I think this like idea of a prompt engineer, like not even like beyond prompt engineer, like an AI like vertical org and companies going to be important, especially because this is rapidly accelerating so quickly. Like you need someone at the information right now to maybe it's Sam to like tinker with all the stuff and get it working and understand how to use it. And I think like every organization should be asking themselves this question right now.
And then the second thing is like I keep thinking about like how does this continue to create an existential threat to Google? Let's pretend that like Bard, you know, doesn't work out as they want and like KPT and open AI continue to excel and exceed and maybe like, you know, 10 years from now the world looks very different. Like how does this impact the private internet and public internet in different ways? If like our first search is actually through an open AI text box or voice chat versus a Google search box, like what are the downstream effects? The former Googler is a good time for a flash poll. Are you more or less Google? Because this is a big question. This is one of the most interesting questions in tech right now, I think.
It's a really hard question. I'm more barred than I am GPT actually. I had a board meeting earlier this week for two days and actually was using Bard throughout the board meeting to like call people out for stats they were talking about or like think quicker than other people in the meeting. And it was like an accelerator for me. Wait a minute. When you go to board meetings, you actually talk, you don't look at Instagram. It's a two day board meeting. And so I had to do a lot of things. You're not a very good venture capitalist. You're not having to see the 12 people. You're actually checking facts. They're texting with 12 other venture capitalists while they're in their board meetings. Exactly. Bard will just has been giving me better results. Maybe it's learning me more. I don't know. But anyway, but then I saw all this new open AI stuff yesterday and I was like, oh shoot, like this is awesome. And so now I'm like leaning more towards open AI and and they're. They're where they're fan bread.
Well, they have the best tech right now. To go back to Jess's question about the Cambrian, like are we at a Cambrian moment? I think the other thing that's happening here is that the GPT-4 Turbo has a is 3x cheaper than GPT-4 per API call. It sounds like which to me, the Cambrian moment question actually rests on the cost question. Right? Yeah. I'm seeing this. I'm seeing just companies that we're seeing come through the door and pitch us on various different, you know, whatever they're building. Everybody's looking at using these APIs in one way or the other. And at the end of the day, the types of use cases you can build for are highly constrained by the prices. And I think nobody's really talking about that brass tax thing, which is that like this thing can only move, you know, as fast as the price goes down. And it's not actually moving down that quickly. And so.
It's a bit cheaper. I mean, it's also just like you start with the highest values. It's funny. I'm looking at like the blog post. It's like, I don't know. I'm such a less on this. Like it these seem like Fart apps to me, right? Like the laundry buddy. And you have to start like Fart apps. That's where everything starts. No, you don't have to start Fart apps, right? Well, I mean, Sam, Facebook platform started there. Yeah, but Facebook platform is not as big as it did. iPhone started there. The iPhone was all lighters. Was all lighters. This makes me.
I talked about this a little bit last week, but like my current framework on the first big revenue piles for these things are the enterprise world. And so what I think OpenAI does so well, because they've got really good product engineers working with, you know, who also obviously really good researchers. And they just like build these products that people understand that we're talking about, that everyone's talking about. And then it's like some CIO can go to his board and be like, and we're doing this big enterprise partnership or something.
So there's almost like a marketing element to it. Because it. And when I think they regained with this announcement a little bit, although like I just like, they regained a lot of buzz, right? Like Dave, you were echoing this. Like everyone thinks they're in beast mode, right? And that just means that like, that's like what technical people say about technical teams they admire, right? And a lot of that is marketing. And so then I think the question is like, where it translates. I think it's momentum too. It's not just marketing. It's momentum. It's like it presses the amount of work. Yeah, it's obviously technology behind.
Like they're pushing on tech. I mean, what I always wonder though is, is this a field where we're just one innovation away from something being obsolete, right? Like, is it gonna. You know, to sort of LLMs progress like very linearly and scale and the big guys who have all the money and can get it from the sovereign wealth funds of the world will scale? And that will happen. Yeah, I mean, I think that's been Sam's argument, right?
Yeah, what did I just say? At some point, there'll be another paper or another breakthrough and that can come from anywhere. I don't know. I think that I'm an under on that. Like, I think the reality is that we've had a big breakthrough. The LLMs stuff is cool and it is useful. And to be clear, the hey, how the fuck do I play this board game? Turning that from a YouTube video into an Q&A thing until I get the right answer. I want that. Like the onboarding, absolutely. Like, I definitely believe that things that are currently effectively help centers are gonna get way better because of this, right? That's obvious. And I think that the table stakes that'll happen, a lot of people will provide that. Is this a new paradigm? I just don't like less convinced. And I think I'm as extremely skeptical in the, this is some sort of, this is asymptoting. We know what this looks like and it's gonna be useful and it's good. I don't think there's something like major next break through that.
Did you guys follow XAI? So XAI being Elon Musk's originally anti-woke AI because Elon, who by the way, started OpenAI when it was a nonprofit. Yes, you should be confused. I still don't understand how this was a nonprofit. He actually did start it, but I think he marketed himself as having started it. Does anyone understand how this became a nonprofit into a corporate? We've documented this extensively. They needed money. It still doesn't make sense to me. Had to raise money and they went to the node, Kosla, who put it.
Well, to be clear, they turned it from a nonprofit into a nonprofit. They didn't like to be clear the not, not for profit still exists. It's the shellboard. Plenty of people sit on it. Sam likes to say he serves at the pleasure of the nonprofit. I don't know what that means.
But anyway, we saw the first blog post that asserts some things about the capabilities of XAI, the Musk backed LLM. He's spending a lot of time on this. He's trained on, you guessed it, X is formerly known as Twitter's kind of Corbus. Yeah, which is valuable. It's going to be a wild AI. Yeah, it's going to be crazy. Are the bots embedded? Imagine a health center. It's like, imagine a health center you can talk to whose entire nakorbus of knowledge is Twitter. It's going to be a ball. 50% accurate information.
So it's going to be like the most insane AI ever. And it was hilarious. One of the things I saw somebody built already with this new stuff, which I thought was kind of interesting, is people are taking streaming frames of sports video into the GPT for vision API, and they're then text-to-speeching it. And they're effectively creating sports commentators that are actually quite good. That's one thing that I saw. And then there's this other thing. I'm trying to find it right now. I can't find it. But apparently Google, I think on YouTube with sports and the NFL, they're basically have these little rings that show up underneath the athletes as they move into position before the play starts. And the AI is actually predicting who's going to rush the quarterback better than the announcers right now. And that's kind of interesting.
So here's an AI application that someone should for sure go make a ton of money on. I 100% believe that someone can make a shitload of money building an AI to do so. And then you're like, I'm not going to say that. I'm just going to say that. I'm just going to say that. You know what I mean? That is a marketplace. People do all the sports betting play-by-play games, whatever. I am sure that someone could use AI. And that's an obvious win. That's a very short-term win. Yeah. This isn't going to last forever.
How does this change the NFL? I was sitting here watching this and I'm like, okay, are the play collars on the D-line on both sides of the team going to now have to out AI each other to call plays. Because right now you could just watch the YouTube stream and see the AI already is telling you information that people didn't have before. And that's a pretty interesting question. Is that you're asking whether we should be worried that poor sports commentators all 12 of them are going to lose their jobs? I'm not talking about commentator Sam. I'm talking about play collars. I think there are some sports that are safe. There's even fewer. Okay, soccer is a sport that doesn't have plays like football. And I don't think AI can be as useful in soccer and sports betting. So maybe- Oh, come on. You don't think the AI is going to like this person's about to score. Where they're going to pass the ball next? Yeah, you want to bet? But they're like before the game. I'm the one who's a skeptical AI. For sure AI can do that. Yeah, but it's more variable. Soccer players don't have microphones in their ears, right? The way that football gets played.
I think I'm asking sort of an NFL grade question. Like how does this change the actual rules of the game? I love the idea of AI coaches for sports teams. That would be amazing. Like if you just like we just hired this AI as our coach, we're going to pay $12 million a year. And then all the players are just that is the purest encapsulation of the future I could possibly imagine. Dave was Dion Sanders for Halloween, who's the coach of the Colorado Fos. And now he can really be like AIDN's and AI coach. I love this. That's the name of the app.
I honestly think this might be the place where football mirrors America best. And I think you're totally right. You're just going to have like the people because the whole thing that everyone says, like, oh, people do all the creative work and like AI like does all like the stupid work. No, the opposite. like AI is the manager and people are the doers. And if that happens first in the NFL. So like, you know, you have like the quarterback rebelling against the AI instructions and like, like the whole dynamic of that's going to be hilarious.
So go back to which sports are the safer sports then if this is the future of sports. I don't think this kills these sports. But I think this is just like enough words are left unchanged. Like swimming is probably a safer sport. Right? Like it's like, because the AI would just like swim fast. Like you can't really AI swimming. The coaching basically anything where you're trying to beat a clock, you're kind of you're probably okay. It's like, here's a great idea person who I'm coaching as your AI coach is like, why don't you try harder? It's like in the NFL, it'll be like, Hey, you center, why don't you stand on your head? And there's like, do you really want me to stand on my heads? like, yes. Don't worry. Don't have like a real time or real time coaching. But okay.
So are there any other very exciting promising use cases before we move to non AI? I think sports betting is really interesting. Why wouldn't why would not AI just completely dominate sports betting from now on? I'm sure it will. I think it's AI betting and coaching. The problem is that will people still want to be in the sports betting industry when there's just all machines like it's just well street. I mean, my one of my favorite old sayings is that the singularity already happened on the wall. 100% and it's just 100%. We already are just doing what the machines tell us to do. Yeah.
So how is this any different? Right. I just I think what it might be is actually the video angle, right, which is like historically like sports like Wall Street, the data streams you're using are generally not like they're like not multimedia. And so if the real thing that AI can do in this moment is take a bunch of like unstructured data from sports and like turn it into enough of a feed, then all of a sudden sports betting is just Wall Street. And like just like day traders can't possibly win against like algorithmic high frequency traders, like you just would expect that AI is going to completely dominate sports betting to the point that like no one will do it for fun.
Right. Because I mean that future seems clearly already here. It's just interesting. It's like I will be like by being too good, it will just destroy the entire sports betting market. Unless you're a swimmer and maybe many others. But does that mean that poker is next? I mean, basically anything where you got this.
I thought like people are doing this on screen on like the poker TV channel. I don't know. Yeah, because they show you. Well, I don't think people talk about chess, right? Like computers can be as a chess pretty much no problem with rare exception. People still obviously play chess. In fact, chess is having a renaissance despite that, even though it's kind of futile because it's like we can't like computers just be you anyway. Most of us aren't playing computer. People play computers all the time in chess. Like that's like how they play computers to practice and then they go play other humans. But here's the interesting with sports betting, right? It's like you're not going to figure out like who's using an algorithm versus not, right? And so these game, any game or it's going to be untraceable or unclear where algorithms or like whether AI is playing, whether you're playing as AI or humans, like are going to get really uninteresting for humans because they're just going to lose all the time, right?
So it's going to be interesting to figure out how to like take a sports marketplace and be like, okay, we're going to be a sports betting, but no AI is allowed and how do you enforce that, right? Like will it end up being that people like get in a room and like, you know, they have it like tech blocking and they're like, this is still fun to do sports betting. We just can't do it online anymore because we can't trust that AI isn't just going to die. And by the way, similar vein casinos are kind of flocked, right? I think that if you're playing Blackjack in Vegas and I've got my like humane thing happening and something in my ear telling me whether I should flip the next card or not. That's kind of, but Britt, I actually think just to push you on that, I think that like casinos already have this problem and they've already kind of like actually solved it by being in person and they just throw everyone out who does that. I think it's actually more online betting as fucked, right?
Basically, you're going to need to create spaces that are human only for things like gambling. What I'm saying is I just think people are going to, I think there are smaller technologies that now exist where it might be harder to catch the people in the casinos. And so I can imagine there are, there's some period of time where they're, they're figuring out how to like play the casinos differently. Sure. So there's going to be bringing down the house 2.0. Yeah. Like there's a, there's a movie here. I think there's a movie plot line. These are some really interesting predictions. I like that. We did our AI versions. We keep coming back and you just can't avoid AI as much as we want to.
But I want to make sure we also talk about Britt, you were going to like another huge theme right now. We're seeing a lot of deals. We're seeing a lot of M&A. We're seeing a lot of hopefulness, wishful thinking about more deals, more IPOs. Information has a story today about all the ways the bankers screwed up the last IPOs. But what are you hearing, Britt?
Well, I am hearing a couple of things. One is bankers are still currently advising to not go out for an IPO, but to kind of get your ducks in a row in that the window will potentially reopen spring 2024. I personally- I'm not at all very interested in telling you more. And I'm not so dubious about this. I think it's, I think all of 2024 is going to be pretty difficult. But I do think the M&A markets are going to continue to explode.
What else are the bankers going to say? Like what do you expect them to say? They can say- They're kind of out of a job. The markets are- They can't say go now. I was like, okay, we agree you can't go now. But you should be really ready because we promise that there's going to be a moment coming where we can make money.
Yeah. I'm just- I'm reporting from the crowd, from the sidelines. What's happening? I think the only thing that you can- The only thing that you can take signal from that is that even the bankers realize you can't go public now. Yes. And when would your prediction be Sam of when you could go public?
Never. Never. Like this is- This is ending. It's not that it won't happen. Of course, someone's no public is not going to zero, but the era of lots of IPOs for tech is just done. It turns out that these are pretty shitty companies in general. There are some good companies out there though. Of course there are, but there aren't that many.
But will those companies succeed in their IPO? Do you think? Not unless they're incredible because everyone's so burned on these tech IPOs that they're not going to get the benefit of the doubt. The bar for being a good company is way higher than it ever was before because I can just just buy more Microsoft and ride the AI wave that way.
Yeah. I mean, Sam, you're riding a risk off market, right? And the question is when will we move back to risk on? But I think the thing I understand is even in a risk on market where people are willing to buy more equities, et cetera, in this moment, there's very little reason to buy sub-scale tech companies because the benefits of AI, et cetera, are just going to accrue to the biggest companies. If you want to go risk on, just buy more long-call options on meta, buy more long-call options on Microsoft. There's no upper bound to how they're being in there, clearly going to get all the value from it.
I think we have to get over as an industry this idea that there's serious public market demand for $10 billion tech stories. I just don't know. There are a few outliers though. I was tracking, my favorite one of late is Duolingo that I've been digging deeper into, which opened the year at 96. It's now at 167. And it has a $7 billion market cap. It's not the biggest, but just has good numbers. It's a good business. It's showing good. It's fine. I'm just saying, there are success stories that exist out there. It's fine.
In 2022, they lost $50 million on revenue of 300. And the fact that they were a little pull off, the growth of the stock is impressive based on some of the numbers. Again, it's fine. Duolingo is not going to go from one to infinity. In fact, it was hilarious. I was talking about a company that was probably threatened by AI. It's like, why on earth would you care about learning other language if I can just auto-translate things on the fly? I'm not saying that people won't do OK. I'm just saying, the story where Duolingo is 10 times bigger than it is is like.
Talking about that, I'm just saying that it is possible to be a successful stock right now in the US dollar sub $10 billion. It's all about the expectations though, and what these companies. Duolingo is down. It's basically where it was in July of 2021. When it went. It's basically flat-red IPO. Which is a lot better than a lot of stocks up there right now.
Totally. But that can't be the bar. No one's buying a public market equity with the expectation that it's going to go down and then get back to where it was. Yeah. You need growth stories. You need consistent good. I'm not arguing. Yeah, yeah. There's going to be another. Does this mean the mega caps become mega mega caps? Yes, definitely.
Yeah. And also, all these stocks are doing a little bit better because the market thinks the Fed is less likely to raise rates. Yeah. And look, the market moves altogether. It's not like these things are totally disconnected. There are always, if you're looking for a marginal hole, places to look.
But look, the story used to be very simple, which is companies could only be so big. It used to be they couldn't have a hundred billion out of company. Now you can't have a trillion dollar company. And there were two reasons for that. One is people just couldn't wrap their heads around anything possibly being that big. And two, the story was pretty simple, which is you get really big, you get less efficient, you look for the next thing where growth is going to come.
The big companies in the era we're in have demonstrated the ability to be massively profitable and continue to grow unbelievably quickly and leverage new technologies well. And I just think that that makes the public market demand certainly for money losing, but even for upscale story, so much less compelling. Because if you want to be risk-on, just buy more of the obvious shit. Why dick around with trying to make 5% more on some weird bet would have risks.
Again, it doesn't mean you can't build great companies. I actually am totally with you, Britt, that the opportunities for building, I've said there's a bunch like AI, just like cloud before, it creates incredible opportunities for small businesses to do fabulously. If you want to start a company with 10 people and make a ton of money doing something specific, huge opportunities. But I just think this kind of game of how do we build 10, $20 billion public companies that are quote unquote tech stories that are fast growth and people are going to want to buy as public market investors. I just think we're done with that for the foreseeable future.
OK, before we wrap, we've got a lot of territory. Anything else? People just catching people's eyes this week on the mind, in the inbox. I just think we're getting a lot of deal rumors and the information.
I tell you. All about small businesses. You know, that's my thing now if you hadn't noticed. Yes, all about them. Any new story? How do we fund these small businesses, Sam?
I think that's one of the big questions right now is I've watched this. You want to make some money and we send it to their bank. Well, that's true. But how do you build venture? How does I think there's this is probably a whole other pod, but I think we do actually have to go into this for like an entire pod, which is how do you build a venture capital portfolio that, you know, operates in this world, right? If go ahead. I have feelings and views on this. I want to hear Dave's. You wrote a slide that day. I think that I think we should do an entire pod on this. I just think it's like a very, very long topic. I have a long walk with a venture capitalist tomorrow. I was I was invited to go for a walk with a venture capitalist in my neighborhood tomorrow.
Wait, wait, wait, wait, wait. Adventure capitalist is going to go and walk. I know. I'm finding you for. I want an adventure capital. So the walk today in our neighborhood. Did you know that I sometimes hear the venture capital happening over there. And I'm like not venture capital in here.
So here's here's the question that an LP asked us. Britain, I heard a meeting. I think I guess it was last week asked us why is it that every single, why is it that all VCs and LPs use one contract in Silicon Valley? Well, they don't like me invented a whole different one for investing in careers. That's true, but that's very rare. And for the most part, the ecosystem uses one contract and there are all of these different forms of risk, right? And everyone goes around pitching all these, you know, limited partners, the same contract. And the each limited partner wants different types of risk. There's all different kinds of institutions.
And by the way, at the venture capital level, like there's all of these new tools that the AI revolution is putting out into the ether that's that Sam, I think you're very right, are going to empower the small business. They're going to empower the small team of people to make a lot of cash flow, to make really interesting businesses. But that's not what the contract is set up for. Okay. So I think that there's like, I think we have to take a hard look at the ecosystem. And actually we need to be a lot more coordinated about this and work to create more types of contracts that we're all operating on and change the way the conversation is playing out.
This is fun. Let's do this for the next podcast. I think it's a great topic. But just to answer your LPs question, there's a very simple reason, which is scalability, right? Like the last 20 years, at least 10 of venture capital, the whole point is that it's a backwater small industry trying to act like a real financial product. And the way you get standard, its scalability is standardization, right? It makes it easier for there to be a robust market around things, but the easier diligence things, it makes it easier to pile capital in.
But like the reality is we're coming back to the roots and the roots are, this is a niche industry to provide high risk capital to weird situations. And the reality is small businesses, things that can't be public company, 20 billion dollar public companies ever are very poorly served by everyone right now because banks won't lend to them. And there's no capital for them and venture capitalists is not set up for it. And we've done a lot of work. I've done a lot of work. Like, how do you invest in creators? Totally alternative form of finance with totally different structures and rules. How do you think about funding small businesses? What are the exit opportunities? Like, I think this is the jam of what to talk about. So I'm excited about our next episode.
I will just say, why are you guys doing that? The information just broke an interesting story that, um, snap laid off 20 product managers, Evan Spiegel. We were just to go back to and that, um, um, the vice president of engineering is leaving. But I remember maybe he liked our episode. I think he liked our founder episode, which is just like the founder flex, you know, he wants to work on product. He wants to take out their jobs. And it's like fire 20. Yeah. I'm like pretty. Well, now I have no idea. I have no idea how prime managers they have, but I'm almost certain that will now work faster and better. Oh my God.
Okay. Well, R.I. P.M. And great. Well, thank you to everyone for listening. As always, we love doing this for you guys. We love the feedback. We love the shares. We love the ratings. Please give us lots. Subscribe. Um, we have to do these things like contests, right? Like is this what the YouTubers do? Like subscribe and then we'll like take you to a wave pool. We didn't give away. Yeah. Yeah. Yeah. Give away and review review. The ratings are important. Okay. Subscribe and review. Subscribe and we'll quest. We'll give you COVID on the way to the wave pool. Yeah. It would be delightful, but you still get to do your pod. Um, and guys, I wish I could talk more about this way. Pull, but I can't. It's like NDA. It's very exciting. And, um, with that, thank you to everyone. We will be back here next week, apparently talking about these venture capital topics or whatever. I'm all for this. These are my favorite topic we've wondered. I think our listeners are aware. We've got a bunch of new contracts we've developed to. And I have this huge mailing list of like every VC and LP that read this, this slide deck I put out that we can then blast the septemberton. You know, my goal, guys, I want us to do the more or less greatest hits, but we need to also hit the other high notes. So we're going to, we're going to do a mixed bag. We'll go to greatest hits. We'll, we'll get some new things in, but that this is how we evolve. But thank you to everyone.
Nice to see you, Morin. I also, I forgot to say Dave, a pop of color today. I always tease you just for you, Jess. I always tease you. You've got a hue of information, Rad. Did you guys get the black tie gala? Did you get the invite? Oh, yeah. We'll be in there. We'll be in the new. You see the new logo? You saved the new, the information black tie gala. Oh, there was another black tie gala that we went to, which we're not, we were sworn to secrecy about. We cannot talk about. I just want to show you guys got the invite. We did. And I hope the same thing happens at your black tie gala as what happened at this black tie gala because I don't think so. Can we, can we judge San Francisco by the, the, how well San Francisco is coming back by the number of black tie gala's per week? We have to, you know, I really debated making this one black tie and I'm just going. I think it's good. I think it's good. It's a good era. OK. Zero difference. OK. Fire.
If you enjoyed this show, please leave us a virtual high five by rating it and reviewing it on Apple podcast, Spotify, YouTube, or wherever you get your podcast. Find more information about each episode in the show notes and follow us on social media by searching for at more or less at Dave Moran at lesson at J lesson. And as for me, I'm at Britt. See you guys next time.