SPEAKER_02: open AI is a major target. If you say we're going to allow we're going to pay for your legal expenses. Under what circumstances I wonder, because if people go in there and explicitly steal, then they could have 1000 drive by have 100 drive by attorneys launch 100 lawsuits each, and just drowned open AI and lawsuits based on the training data. So this, yeah, I don't think that they've figured out some defense here. This is a very dangerous thing to do. It's literally like waving a red flag in front of balls balls being drive by attorneys who are looking for a target. Yeah, careful. I don't
SPEAKER_01: know who came up with this idea. But this sounds dangerous. This
SPEAKER_00: week in startups is brought to you by LinkedIn jobs. A business is only as strong as its people. And every hire matters. Post your first job for free at LinkedIn comm slash twist. Coda is the all in one doc for teams. And they just introduced an AI powered assistant to take the busy out of the work. Get started for free at coda.io slash twist and in touch CX. Want to build a loyal customer base for your startup. Unlock the power of innovative AI and automated support solutions from in touch CX to deliver fast, personalized support and enhance your customers experience. Schedule your consultation today at in touch CX comm slash twist. All right, everybody. Welcome
SPEAKER_02: back to this week in startups. It's Madra Mondays. This is this week in AI with my guy Sonny Madra. We are back. We are back. Exciting day. Big exciting day. Tell everybody why. So any weekend? Well, there's exciting weekend too. But everything was
SPEAKER_03: exciting. Yeah, I know. Well, let's start with the day and we'll go from there. So open AI dev day first one. You know, what's interesting is we're just literally a little over 11 months in right because this thing launched at the end of last November. And so at the beginning of this November, it's like the first kind of developer conference and, you know, open AI came out swinging, they have launched a bunch of cost reductions to their existing models, capabilities to fine tune GPT for which is important for folks that are building certain production applications and use case specific applications. And then a bunch of new features, one or two of which we'll try to demo here. And we can talk about GPT as well, we don't know, that's, was it, we weren't quick enough to be able to demo that. But that's sort of like an evolution of the plugins. And I know, you know, we've talked about that we've demoed them before as well. plugins were terrible, they were
SPEAKER_02: broken. And now it seems this new apps framework that Sam Altman demo today was really looked like super compelling, because you didn't need to be a developer to release something in the app store. I thought that was the most fascinating thing that and monetization. So you can build. So let's start there. Because I felt this was the strongest part of the presentation. Just in terms of something that I could see becoming a hockey stick. Yeah.
SPEAKER_02: Let's go right to that. Okay, well, so we'll like so all of
SPEAKER_03: the the GPT is, let's say are going to be kind of forms of assistance, right? So let's kind of start right there. So what you'll see here is, and I've kind of created two, just for fun, really quickly, I created one around the executive order and one around the all in pod. And so the executive order one, and you can see here, it's pretty straightforward to create these. Now you basically give it a name, give it some instructions, pick the model. And the instructions you said
SPEAKER_02: here is you are an assistant that is an expert on the new executive order from the White House on AI. Yeah, you pick the model chat GPT for it. Well, this is the latest one, the
SPEAKER_03: 1106. This is GPT for turbo that has the hundred and context window. Explain to people what that context window does. Yeah,
SPEAKER_03: so that is effectively the amount of tokens that you can give it and it can come back out in as a combination. And so which in plain English, an example would be a PDF of a
SPEAKER_02: book, or a transcript of a call, or a bunch of spreadsheets, etc, a database. So it's the when when people say tokens, in a way, what they're saying is the size of the attachment, is one way to think about it. And it's not like correct, but I think
SPEAKER_03: conceptually, you can use it, which is, you can think about a token as a word, right. And so when you have like 128,000, like a typical pages 500 words, so you can kind of do your book is 60 or 70,000 words. So this is like two book, one long book, or
SPEAKER_02: maybe two small books. Yeah. So you could take the book angel, you take the book, the power law. Yeah. And you can say, Hey, make me cliff notes. And the whole concept of like cliff notes can be done for any product, you don't have to wait for cliff notes to hire some writers and spend $50,000 making it then printing it, it's just available to anybody anytime,
SPEAKER_03: and can be customized, right, you can give it some instructions to write it to you, like a pirate or like a child or whichever version you bullet points, tables, whatever it works for you. Exactly. So we did the executive order. And here, you can turn on, you know, so functions is something can get into a different time. But this is like giving the the assistant a capability to interact with like an outside service. And so basically, you know, you'd be writing code if you're doing this. code interpreter is, you know, the one that you've even tried before, which is surely for to analyze documents and retrieval is the new feature as well, where you can now give it some documents. So in this case, I've given it like the overall summary and then our law firm, DLA, they wrote an executive summary as well. So I've kind of given it both of those documents. And once you get that you effectively know what do they call it? They call these
SPEAKER_02: apps? They're calling this, I think they're gonna call them
SPEAKER_03: GPTs. Right? GPTs. Okay, GPTs. Right. And I think that's how they've denoted them. And basically, you know, you're up and running here. And, you know, this is still in the preview. And so what you're showing now is the brief because we always
SPEAKER_02: like to explain it for people listening is what looks like the normal chat GPT window. So in a way, all of the sort of instructions, you might give it the setup, the architecture of this dialogue you're about to have with the language model has been done ahead of time for you. Yes. So if somebody wanted to create a Shakespeare language model, or a Shakespeare GPT, let's call it Shakespeare app, I'm going to call them apps. If I wanted to create a Shakespeare app. Previously, people have
SPEAKER_02: trained a model on all of Shakespeare's work here, you could just upload all of Shakespeare's work, maybe some analysis from some famous people. Yes. And you could call it the Shakespeare GPT, or the Shakespeare app. Yes. And then I wouldn't have to do all that work as the next person who came in. Correct. And you'll be able to publish this, and you'll be
SPEAKER_03: able to, you know, kind of go off to the races. And so, you know, here, you know, and look, we've seen a bunch of startups that were doing this. And this is like, you know, these demo days are becoming quite like, when Apple used to have these days, right, they used to launch features that would wipe out apps, right, that were short doing, you know, features that should have been part of the OS. And so I think a lot of folks are building these, hey, like, take a document and create and you know, we'll demo one as well. But I think there have some good capabilities, better capabilities than this so far. So, you know, I took those two orders, I dropped it in here. And it does give you a like initial summary. And look, this is hot off the presence, like it just kind of came live. Yeah, it was like an hour ago. It doesn't fully summarize the document here. It's only done kind of like two sections. And there's multiple sections to this document.
SPEAKER_02: Yeah. What's super brilliant about this is now you can take this app. Yeah. And your app is the AI executive order app, the one I described was my Shakespeare app. Yeah, another one might be, you know, Gordon Ramsay's cooking app. And Gordon Ramsay could put it in every single video he's ever made, and they can publish it, and then it will go to the App Store. And open AI is going to have the equivalent of an App Store. And they're going to have the ability to let you charge for these, did they mention how that works? And then the share revenue share,
SPEAKER_03: they didn't get into a lot of details. But you know, it was interesting, rather than like a cut model, which is what we have in the App Store. It felt like a like a more of a Spotify model, where which would be usage based. And so, you know, the way Spotify works is when you upload music there, it's a, you know, you get paid as a, you know, like a function representation of how many streams you have relative to everyone else. And so the the short blurb that Sam gave was more aligned to that type of business model than a charge $1.99 per, you know, per use. And so maybe what they're trying to do is say, look, people are already paying us $20 a month, we'll just give you a portion of that, like in Spotify, depending on how much people are using it.
SPEAKER_02: Got it. So they'll create a pool of money that goes to people who release these in their App Store. And you don't subscribe to somebody's Shakespeare app, you they would just Hey, you know, 1000 people are using this a day. So we're gonna send you whatever 500 bucks a month. Yes, you know, kind of on a non specific revenue share, which is probably a mistake. They could incent these and give those but they should come up with a legitimate tie to performance based use case. Now, you got to be careful doing that, because then there could be abuse in the system. But I think, you know, if paid users use your app, x number of times you get paid for x amount of usage could be pretty easy, you know, for every search they do, you get a penny. So if there were, you know, 100 Shakespeare app searches, you got a you got $1. And if there were 1000, you got 10, if there were 10,000, you got 100. Pretty straightforward, right?
SPEAKER_03: Yeah. And so look, I think it's going to keep evolving. But this to me is a good evolution of plugins. You know, I think a little bit of a concession by them that the original and was good, like they're moving quickly, right? The whole thing has only been around for 11 months. So they're conceding that that wasn't the right play, they're going to have the store for these are going to make it such that non developers can create them as well. And I think it's going to be a lot of innovation in a short amount of time. It's excellent for open AI as a platform, because they're going to get a lot of mind share. You know, this is an interesting thing that I also saw, just from a relative standpoint, and kind of tying back into your investing world, there was only about 40 50,000 people on the stream this morning. Interesting. And so if you compare that to sort of like the size and scale of like an Apple dev day or something like that, right, still quite small. So it's really, really early, like we're in the thick of it. But I think if you're building something here, this is literally like the first time Steve Jobs shared the App Store.
SPEAKER_02: People are like, huh, maybe but to say, and by the way, Sam did a great job. So shout out to that moment. I texted him congratulated him. Later this month, we're going to launch the GPT store. So that's coming. And how that works, who knows, but I could see this be very interesting for people who are content creators. In other words, remember, there were some authors who sued people, I think they might have been sued open AI for ingesting their books. Yeah, well, this gives them an off ramp. They could say, you know what, in the core model, we're taking out Stephen King's works. Yeah, but there is a Stephen King app that Stephen King gets 70% of the dollars in
SPEAKER_02: and if you want to quote Stephen King work and you want to build stuff that Stephen King related, please use his app, right? Yeah. So in a way, this reminds me of what YouTube did around copyright, which is, instead of taking down all these videos, they allowed people to claim ownership of that. So imagine somebody has a photo library, and Dolly is using it. Well, now you can say, you know what, if you want to, if you want to make images, by the way, check this box, and you can use the Getty images. Yeah. And there's a Getty app, or GPT, as they call them, and they just call them apps. It's I don't know why they're calling GPT. I'm gonna call them apps. But imagine if Getty just said, Okay, yeah, we'll put a link to all of our stuff. And you can make images based on these apps, and we're done. All right, congratulations to the team at LinkedIn, who just completed the march to a billion users. Can you imagine a billion users now on LinkedIn? Of course, we all knew it was going to happen. And it's happened. But you know, it's tough for startups out there right now. And finding great candidates, it's hard. It's always been hard. You want the elite candidates? Where are those elite candidates? Well, there are some part of those billion users over at LinkedIn, and it's your job as the founder of your startup to get the right team members get the right people on the bus before you decide on going to your destination. LinkedIn jobs is going to help you find that next amazing hire the one that's going to level up the bar razor as they say, there's also those passive job seekers, you know, the ones they they got a lot of job offers. But you know, they check LinkedIn once in a while. So what you want to do is you want to post your roles to LinkedIn, you want to get active on LinkedIn sharing on your feed, doing some blog posts, and then you want to post a job as well, then you're going to be 100% certain that you don't miss out on the most qualified candidates. Everybody's on LinkedIn. That's why LinkedIn jobs is going to help you find the qualified candidates that you want to talk to faster. So I want to give you your first job listing for free linkedin.com slash TW is T linkedin.com slash twist. That's linkedin.com slash twist to post your first job for free and watch the magic as you get the greatest talent ever to apply for your open positions, terms and conditions do apply because they're giving you something for free.
SPEAKER_03: One of the other things they launched today is copyright protection. They did you see that? Explain what that was? I was confused by that. Yeah. Yeah.
SPEAKER_03: Explain. So, like, let me try to pull up the article. Maybe Nick, you can upload up but like, it's called copyright shield. Yeah,
SPEAKER_02: copyright. I will pay the costs incurred if users face legal claims around copyright infringement on both chat, GPT, enterprise and the API. Yeah. So that means if you build
SPEAKER_03: something, and someone comes after you saying, Oh, hey, inside our, you know, in your model, and you know, you've talked about this a lot, right? That looks like my work is in here, they're going to help protect you. So they're really standing up to their ecosystem, you know, for their ecosystem that's gonna be building these things here. This seems like also the waving a red flag at a bunch of bulls,
SPEAKER_02: which are the lawyers, they have an unintended consequence. Open AI is a major target. If you say we're going to allow we're going to pay for your legal expenses. Under what circumstances, I wonder, because if people go in there and explicitly steal, then they could have 1000 drive by give 100 drive by attorneys launch 100 lawsuits each, and just drowned open AI and lawsuits based on the training data. So this, yeah, I don't think that they've figured out some defense here. This is a very dangerous thing to do. It's literally like waving a red flag in front of balls, balls being drive by attorneys who are looking for a target. Yeah, careful. I don't know who came
SPEAKER_01: up with this idea. But this sounds dangerous.
SPEAKER_03: Well, or maybe it's not because they're confident that they have no copyrighted work in there.
SPEAKER_02: Okay, sure. Maybe do you think they started pulling stuff out?
SPEAKER_03: Yeah. And so they like, I wonder if they did that, do you think and they use AI to make sure that they don't have anything in there. And they're so confident that come after us. Because we can show you that none of our training material has copyrighted work.
SPEAKER_02: Yeah, I wonder if that's the case, because there was Reddit, Twitter, Quora, Facebook, a number of people were like concerned about these open crawls on the internet. Yeah. And you know, one of the things about these open crawls of the internet is, if you're using one of those open crawls, and we talked about it, right? Is it even called open crawl? I think it's, it might even be one common crawl. Yeah, if you're using common crawl, it's in common crawls terms of service, it's your responsibility to then know the terms of service of who they crawled, and what you're allowed to do with it. So any LM or LM, you know, based on that common crawl, it's up to that group to then go make sure that it's not stolen material. For example, if somebody there are a ton of websites that used to take my tweets or other people's tweets and republish them to their website and do like some analysis on them. Yeah. So if you were to do like, you know, this like Twitter counter, whatever, and they had scraped and published that data, they
SPEAKER_02: broke the law doing that. Twitter never went after them didn't know it wasn't a big target was offshore, that you scraped it. Now you've trained your model on stolen content, which is like you getting stole buying a stolen bicycle. It's still a stolen bicycle. You have to give it back. Yeah, yeah. So this is going to be super complicated. It's kind of a bold move. Maybe they're doing it for optics. Maybe they just, you know, they know that they could burn 100 million on defending lawsuits and not worry about it. Because they have so much cash. You know, it's a $90 billion company. Maybe they got so much money, or imagine, like, because you know, they've invested in
SPEAKER_03: Harvey. That's like a like a legal AI. Imagine, they fight the lawsuits with an AI.
SPEAKER_02: They know they can outgun the drive bys. Exactly. It's just pretty interesting. So this, I think is going to change everything. Because this is like an app store that anybody can build apps for. Yes, this is going to be explosive in terms
SPEAKER_01:
SPEAKER_02: of its growth. I think there are going to be a bunch of surplus. There's a bunch of surplus cognitive power in the world. Yep. When you're around on the weekend, and you're like, what should I do tonight? That means there's surplus cognitive power just sitting out there. So cash poor is another way to put it as well. Exactly. So you might have a billion people who are sitting there on a Friday night with nothing to do or they're unemployed on a Friday during the day. And they go, you know what, that's a good place to make money. I should start building stuff there. And what that does is now you've got everybody finding and crawling and finding all the edge cases of interesting use cases, which is exactly what happened for
SPEAKER_02: Apple. Apple figured out that people wanted a flashlight. People wanted a calculator, people wanted a stock app, a weather app. They wanted messaging apps that had all kinds of cool features in it, they wanted an app for images that will let you put filters on it. And as you mentioned earlier, every Steve Jobs is very attuned to this. So he would give people like three or four years to exploit the flashlight app. And then like, here are five of the flashlight app, they'd be like, you know what, we're gonna put that in the control center. Yeah, you're five of disappearing messages or emojis and messages. Okay, we're gonna incorporate that into iMessage. Yeah. And so, or even groups, you know, like, all of those features eventually made it into iMessage, where now iMessage feels in some ways very similar to WhatsApp. Exactly.
SPEAKER_03: Yeah. So we're at the start of it, I kind of agree with you 100%. I think there's going to be a lot of momentum in this, and we're going to see a lot of innovation. And it's really going to change the way we consume the internet. I think that's the other fear because, or maybe opportunity, depending on which side of the fence you're on here. Instead of consuming the internet through the end sites, you'll find the bot to interact with. And the bots will have all different levels of capabilities, depending on the like, like apps, right, depending on sophistication of the developer. And you'd be like, wow, Sonny, I found this really good travel bot. And it's great for ABC, you know, and it does all everything you need. And so I think we're gonna see a, you know, one of the things that I kind of predict, you know, put it as a tweet out there and say prediction was that we're gonna really start seeing a different way in that the internet's consumed going forward.
SPEAKER_02: Yeah, this could change a lot of things where Yeah, the same way apps took people away from Google search on Google search has kept growing because overall use of the internet keeps growing and people keep getting higher speed connections and more people get online. And they have more a
SPEAKER_03: little $18 billion a year to
SPEAKER_02: on that Apple traffic. But the App Store did, you know, take people away when I search for restaurants, I use the Yelp app. And then maybe, you know, sometimes I'll fall back to Google local into a Google search. But they did take away 90% of me searching for restaurants as but one example. And so the question is, will chat GPT apps, or GPTs open AI, GPT, chat, whatever, they have so many names for this company. Will those actually intercept traffic or not? That's gonna be an interesting question. And then could they be published as apps? The answer is probably yes. And Sam made it pretty clear, we're going to pay people who build the most useful and most used GPTs in our GPT store, we're excited to share more info soon. That says to me, it's an experiment right now. They don't have a formal Spotify, like, though it feels like
SPEAKER_03: that's why I was going, it's like Spotify, like, you know, you got to put things in there that people use. That's how you're really going to get paid. Okay, there it is. Yeah. All
SPEAKER_02: right. Okay. So that's apps, or GPTs. What else? And, you know, they, they did talk about also lowering the cost of the API.
SPEAKER_03: Yeah, so you know, that's kind of tough to demo. But what I'll demo is alongside that they have this new model. It's in preview as GPT for 1106. Right? That's today's date. And this is GPT for and if you ever used it, it can be slow. So I'm going to just do this here, tell me about the theory of relativity. And if I click it here in the playground, you'll see how quick it kind of spits stuff out now. So it's running, you know, about as fast as GPT three five turbo was now, which I think is going to be really useful because the capability of that the GPT for model is significantly, you know, better than GPT three five. And so getting the cost down, I think, in something like seven x, and then getting the speed up is going to create really good experiences. You know, one of the things you and I have talked about is that back and forth speed is still a little bit lacking. So now they're just cutting away at that. And I think they're one more iteration from it being like real time where you won't even realize that you're even talking to something that's processing it on the other side.
SPEAKER_02: Yeah, I felt like this typing and the haptics where it's like typing out your answer, and you're kind of following along with it. It was like exciting. And, you know, you know, was kind of enthralling a little bit for that first year. And now it's just annoying. Yeah, like, I like I appreciate barred when I just type it in and bar just like snap, boom, here it is just give me the whole thing. It's not the whole answer. And then you know, with the talking to your assistant, like the her kind of modality, it's just too slow. This whole CB radio thing where it you have to say your request over, and then it does it over. I don't like that. I like to be able to stop it and say, Whoa, whoa, whoa, whoa, I don't want. I don't want seven restaurants. I just want the one best one. Okay, sorry. Sorry,
SPEAKER_01:
SPEAKER_03: boss. But the rate of innovation is incredible. Jake, how like, you know, for the longest time, the measure that we use was like Moore's law, right? And you know, Moore's law was like, every 18 months, we'll get, you know, twice as many transistors or something like that. Yeah. And, and so if you look at the speed of GPT, for less than a year, right, these are multiple, we're not talking like it's two x faster, right? Like seven x faster. So I think the speed at which this is happening now, it's going to really give us some of these experiences that people are looking for these kind of human like almost instantaneous, you know, sub 100 millisecond kind of things, right? Or maybe 250 milliseconds.
SPEAKER_02: And here we are. Yeah. So what else did they launch today?
SPEAKER_03: I think that those those are the those are the major announcements. I think like some new API's the assistant API's, the GPT's. And then you know, the privacy shield, those are the major tokens, right? The token window, which I'll say is
SPEAKER_02: the attachment window. Correct, correct. You know, just so I can translate this for people. These are apps, I'm going to rebrand all their stuff. Okay, go do it. Do it. They're not tokens. It's attachments. Let's stop with the context window context window is too confusing. attachments. Yeah, attachments go up to 128 k. So just like Gmail, remember when Gmail had like the five megabit limit, and then they were like, Okay, do whatever you want. We don't care. So that was huge, because Claude two was up to like 100k in tokens. Now, they leapfrog them. So this means they're paying it. This says to me, open AI is paying attention, paying attention to the competitive set. I just wanted to one up it. This also costs them a lot of money. I gotta think when you're uploading a book, or you upload an episode of you, I think you upload a transcript of Yep. The all in podcast to exactly. They're like, Yep. You know, you can then put the whole transcript up and then start asking questions about the episode. Pretty cool.
SPEAKER_01:
SPEAKER_03: Yeah, I'll just pull that back up real quick. Yeah. So we I was doing in the background, we were talking, but I uploaded the whole transcript here, as for a quick summary. And so look, you know, the other thing is, there's a lot of tools that we're doing this now. Now you can kind of build your own bot here, that can be an all in bot, you can create a pipeline from D script, or whatever tool that you guys use there to transcribe these things. And it's all you know, you'll have a bot instantaneously that you can chat with about episodes. Incredible. All right, let me tell you about how I'm able to
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SPEAKER_03: I think that covers off all the major announcements from opening the AI day, which was which was really fun. The next one I made
SPEAKER_02: and the cost went down just so we're clear. If you blended it all. It's about 2.75 times cheaper than the GPT for model, according to our notes. So yeah, so faster and cheaper and
SPEAKER_03: bigger context window. So you get a lot of Yeah, so they're
SPEAKER_02: working on cost reduction because they want more people to use it and they put the speed on the back burner for a little bit. Yeah, they want it to cost two to three times less money to do more stuff one cent per 1000 input tokens three cents per 1000 output tokens. So pretty great and the knowledge cut off for GPT for turbo is up to April 2023. I see. So this is interesting that these are the variables now I bet you will be sitting here in two years, three years. These will no longer be the variables that we talked about. Cost won't even come. Yeah, yeah, next year, we won't be talking about cost, just like nobody talks about storage cost anymore. But that was like an issue for three or four. That's an issue for maybe a decade, people talk about online search costs, it's not going to be even discussed. And I think the attachments, you know, context window, aka context window, we're not gonna even talk about that, because it would be like, you'd be like talking about like sharing on like human, like, you know, at 128,000 or 128,000 case
SPEAKER_01:
SPEAKER_03: already beyond most human, like, you know, you can put books at
SPEAKER_02: this point. Yeah, but if you uploaded a movie, if you uploaded Blade Runner, the entire film, and you wanted a frame by frame like this kind of situation, sure. That would be a lot bigger than the current context window. So I would think like if you said I wanted to analyze each frame. So yeah, you know, it's just this is exactly like that with storage and transit, there was a time where the idea of sending somebody an entire movie, or even an HD video that was more than a minute was you needed to have something like what was Kim comms company, share file or some? Now it was something for sharing files that he did, you know, like, back in the day, you couldn't share large files, you had to use like, you know, these third party attachment things where you would upload it would take an hour, then you'd send somebody the link, they would download it. Kim.com had a service that he got busted for.
SPEAKER_03: Yeah. mega, mega upload. There you go. mega. I think I was like
SPEAKER_02: for short. Yeah. And then those things became unnecessary. That's what's gonna happen here with all this stuff. Yeah, but I'm really interested in the apps. That's I thought that was the biggest announcement for me today is the apps. All right. So I have we read that we read this stuff. Oh, yeah, I read the apps. I'm gonna rate the apps, I'm gonna rate the app announcement as and the functionality that you displayed it a B plus. Okay. That is a B plus out of the game. I'm gonna
SPEAKER_03: go B minus. And because actually, there's some nuances of what we've done here. So in both cases, you know, in the one case, I uploaded the White House executive order. In the other case, I uploaded the entire transcript of the last all in pod, it was only it wasn't able to analyze the whole thing. And so this functionality just came live, and maybe they're throttling it. And, you know, I've been getting some errors and timeouts. But from the engineering standpoint, it's meant to work. It's super easy, but it wasn't doing the whole thing. So we have to call that out. So we're on a vision on a vision. I feel like it's almost
SPEAKER_02: all there. So B plus if they had the pricing, everything all sorted. Yeah, yeah, then I'd probably go like a plus like, but it's kind of like the App Store in the early days, which is like, who knows exactly what the rules are going to be. But I give that a B plus for me, D minus for Sunday. And then for the, you know, chat GPT for turbo, I don't know how to rate that. That one's harder. I think let's let's wait for people to
SPEAKER_03: integrate that in. I think it's more of a like a developer kind of feature. Nick, anything else we had to write there that we
SPEAKER_02: didn't know it was good. I thought, um, you know, what
SPEAKER_00: Sonny was referring to is the GPT for new developer model in the playground was only grokking if I'll use that word, the first like, you know, 15 minutes of the of the transcript or you know, so maybe 10,000 tokens or so whereas Claude to which I use for almost everything that needs longer context when more tokens in the context windows, we ran the same transcript and Claude and gave a very similar prompt. And it gave basically a perfect summary of the entire episode, right? They even joke like they even had the all the way at the end the host close the show by joking about David Sacks, unreliable RSVP habits, right? Almost perfect. I mean, it's not a single beach. Yeah, it's pretty amazing. But nuts. wasn't there yet. So I'm still giving Claude the edge in this specific. All right. So you
SPEAKER_02: would go with Okay, so for the token window. Yeah. Okay, I got it. Yeah. All right, great. Let's go on to our next demo. Okay, we're actually opening it. Yeah, so the next one, you know,
SPEAKER_03: I, for these guys, I actually use this last week for a little project. And that's why I had some of the context ready to it's called drop CAI. And what they have is like a platform that allows you to create chatbots very similar to what we were just, you know, showing off there. But I want to maybe lead into this one where you can give some guidance to teams like this who are building things that are getting, you know, a bit maybe cannibalized from the platform. So in their case, you know, you can create a chatbot, you can upload your content, you can do your configuration on like, which model you want to use. And yeah, you know, what your behavior is very, very similar to what we saw there, you can customize what the chatbot looks like, you can integrate integrations, look at the conversations. And so here, you know, once this is done, he can click off to it and sit with similar here is like, you know, you can chat with it regarding the executive order, right? So you can say, you know, give me right, so the same Shakespeare app or the same executive order
SPEAKER_02: app can be built here with proxy.ai. So you asked me the original question, how can you differentiate? Very simple. If
SPEAKER_02: you allow white labeling, and you allow these things to exist outside of your domain name, then that's something that chat GPT is not going to do, right, they're going to have all of their apps or GPT is in their store, it's going to be part of their flow. Sometimes you want to have these things on your own domain name, you want to control them, and you want to monetize them how you want to monetize them. So it's kind of the equivalent of if you were on Patreon, right, or substack, and you have to exist in their ecosystem on their domain names, typically, you can do custom domains on substack. But essentially, a substack is you're on substack, for better or worse. But then there are things like ghost, which is a back end. And then there's like stripe for memberships. And there's other membership software that kind of disappears into the background and let you do these things on your own, without having the rule set, and living in the ecosystem of another player. Yeah. And that allows people to do things that they wouldn't be able to do when they're inside of that. So I kind of like those, right? Yeah. Yeah. And so that would be the that's the right path to go.
SPEAKER_03: Yeah. So during the dev day, they showed a demonstration where there was like a like an assistant that was integrated into like a third party site, like a wonder list or something. But it's a very dev heavy integration. I think what you can do here is what you talked about is make it such that a non developer low code can create one of these things for your customer service area, whatever it happens to be for your business and put a domain name on it. Yeah, exactly. Just
SPEAKER_02: slap a domain or hit export and make an app out of it. So yeah, you could take all this code and release it as Swift or yeah, you know, whatever, you know, programming language you're using, and then you could then compile it and make an app out of it. Right. So those are the ways to kind of free people from being caught up in somebody else's ecosystem, which is always dangerous, like Sam Harris had a Patreon. But he didn't want to be beholden to Patreon and have them take his money away because he watched them do it to somebody and the person they did it to was somebody doing something important, right? But he's like, Okay, they took the person down doing something important, right? Let's just say they were like doing hate speech. So he was like, Okay, well, at some point, they may come for me for doing something controversial. Therefore, I don't want to have that attack vector. And I want to own this relationship with each of these people. So I'm going to move off the platform just like some people will we use as an example, Wistia is a great video hosting service for businesses. And we can white label it and use it for our videos instead of using YouTube. So we're just independent of that, right? So some business users will want to use that right? Very simple.
SPEAKER_01:
SPEAKER_03: Yeah, and I think I think it's a good idea. So like, like, I really liked it, I used it. You know, I use it for some of our documentation as well. So and kind of continue down that path to create something that allows you to white label it, put it out there, make the workflow very simple, allow you to attach a domain to it, all the good stuff, pick a monetization model, like this, you're going to be beholden
SPEAKER_02: to the monetization model that OpenAI has just like you are beholden to patron here, you can tell people sell it one time, sell it per query, sell it a minute, whatever you choose, whatever your jam is subscription, etc. So yeah, I would just listen to your customers and keep building features that chat GP doesn't get to. There's a long tail of features that people would want. Yeah, and enterprise and white label are amongst them. Great. All right, I'm gonna keep
SPEAKER_03: rocking and rolling. I'm gonna give them a B. I'm gonna give
SPEAKER_02: them a B on their service. Yeah, right now. Yeah, I'm there with
SPEAKER_03: you. I think they've done a good job. It works really well. Super simple, easy to get set up. And they just need to add sort of the kind of the distribution loops into the into the application. All right, okay, peace, good stuff.
SPEAKER_02: Listen, a lot of times when you're building a startup, you have to take on better funded incumbents in your market. Simple as that, right? This is David and Goliath. This makes the startup journey really hard. But one of the proven ways to beat an incumbent is by building an insanely loyal customer base. We all know this, you want to have those advocates, you want to have those promoters out there working for you. And one way to build loyalty is by giving your users a wonderfully customized experience, you might not have the time to manually analyze every interaction you're doing, which means you're missing out on key insights. But in touch, CX is going to help you solve this problem, they can help you build automated customer experience solutions. So you can personalize every interaction in touch. CX is going to help you deliver tailored experiences through voice, email, and most importantly, what all the millennials and the Gen Z's love chat support. So improve response times and increase productivity by 30% or more. This is going to help you drive greater satisfaction and loyalty with your top users, the advocates, the promoters make every part of the customer journey a personal one with in touch CX. It started with an automation expert at in touch CX comm slash twist. That's in touch. c x.com slash twist. Next one. All right. I think you're gonna like this one, J
SPEAKER_03: Cal. So this one is called Mindy. It has no interface, it's email. And so this one, I'm going to jump into my email. So when you get started with it, basically, this is like the first email that you get. And it says, Hey, my name is Mindy, glad to work with you. And just reply to this email so that you agree to terms of service. And let's get started. And then basically, you get going. And so you can get it to virtual, it's an AI chief of
SPEAKER_02: staff, it says, yes, which means it's going to sort your email,
SPEAKER_03: doesn't sort your email. And so examples we're going to look at is it can do research on a topic for you. It can analyze documents, you can organize meetings. And so okay, I'll just show you here because it's not instantaneous. So it takes, you know, in my case, like 20 minutes. So I did the same thing, you know, we're on this summary of this executive order. So I had a PDF for the executive order, the same one that I put in droxy, the same one that I put into chat GPT assistance API, and basically said, Hey, I have this PDF. Or executive order of the White House, can you summarize it for me, and basically, it sends me an email back of a summary of it. So inside your workflow, and I know, you know, Jake, how you've been just use these things in their existing workflows. Now it's here. And so in Gmail, or in your email, in your email, so
SPEAKER_02: this is like a chat assistant, your co pilot for Gen Xers and boomers who live in their email boxes. I love it. Yeah, yeah. Well, what's great about it, you can see see them. You can see see Mindy.
SPEAKER_03: Yes, as well. And so I did another one, which, you know, pretty cool. I said, Hey, Mindy, could you add a counter right for a weekly poker game this Thursday? It did. It sent me the calendar invite for the poker game, which is right here. And, you know, sort of like, well done. I got to give them credit on this. And the last one, you know, again, you don't have to even give it an attachment. This is one of their examples. And I wanted to summarize this Supreme Court opinion and just give a link to it. And it did the exact same thing. gave me a quick summary of it. So this is really low barrier to entry using assistance for a lot of different workflows and use cases. Love it. Yeah, I give this a B. It's neat. What I like about it
SPEAKER_02: is the ability to CC it and have it suggest things. Yeah. So okay, I like the idea that Mindy is cc'd on these communications. And then she might say to me in slack or whatever, hey, you didn't get back to this person. Yeah, hey, put this on my to do list. So this idea of an integrated in my email box, where did I want it to really sort through stuff. So already, you have Gmail and superhuman putting things into tabs. What I wanted to do is show me a bunch of stuff and say, I think this is not important. Am I correct? And you say, Yeah, it's not important. Never showed me. Right. I think this is a founder pitching you. Yeah, to invest in your company. What should what should I do with it? I say, Oh, you should forward that to this email. So I have an email for our database team. Okay. And I wanted to I want to say, yes, that's correct. In the future. I want you to automatically email any stuff from a founder to this email and let this person know. And if it's a biotech company, I want you to respond and say we don't invest in biotech. So I could see this assistant learning and doing reinforcement learning. Yeah. And then I say, Well, that's my wife. That's my family member. That's my brother. This person works for me at launch this person's an LP. And if it started to learn who the different people were, and how important they are. So just asked me, Hey, I think this person is really important on a scale of one to 10. Oh, yeah, that's a 10. That's my wife. Oh, yeah, that's a 10. That's, you know, the president of my organization. Oh, that's a 10. That's a CEO of my most important portfolio company. Then it could start to learn over time. And then this is where the talking interface, I would love on a wide screen monitor for just go boom. Yeah, here's 10 emails. Let's go through them real quick. Number one, this number two, what do you want to do with this? Number three? What do you want to do with this? Number four? What do you want to do this? Can you imagine? On my thing, it just brought up 10 emails at a time and said, these three emails look like they're startups pitching you would you like me to send them to Andre? And I look at them and say, Yes, done dispatch. Okay, these two look
SPEAKER_02: like they are press releases. Would you like what would you like me to do with them? I'd like delete them, delete any emails from that person before and put them on my spam filter. Yeah, boom. You know, like, because that would be like, I'm training it what to do in real time. Yeah. And then if you just show me this email came in. Yeah, imagine you're sitting there. And as as email comes in, it goes, an email from a founder who wants you to invest in his company came in. I'm sending it to Andre in five, four, or three, you know, like when you open Waze, it gives you that countdown clock. Is it thinks you're going to your office or whatever. And it's just like going to your office in five, four, like that. Boom. And it was just wait, wait a second. Let me see that one. Hi. Yeah, you know what? I'll respond to that one. Yeah, you
SPEAKER_03: get the idea. Yeah, I mean, I, you know, what's interesting is what you're talking about is a little bit of a mix of an end service, but also an email client. And what these guys right now are there an end service, right? So they, you know, so they'd have to get cc'd on every message coming in and then process it on their side. It's almost interesting to see what could happen if you took some of the ideas you're talking about and moved it into the email client.
SPEAKER_02: Yeah, shout out to the mini team email me like an email assistant that sorted emails a much better idea than just talking to one like creating a gateway. I would study how people are drowning in email and how they route them and how they dispatch emails and be that be the email router shorter part of chief of staff. I think that's a really good kind of, you know, a
SPEAKER_03: direction for them to go in there, I think can be really powerful. Well, I mean, it's super humans done some stuff,
SPEAKER_02: but what super humans done is really around responding and the the the email composing emails, right? Yep. But I really want the higher level stuff, which is sorting through them. Yeah, Sonny, you got a great
SPEAKER_03: Yeah, to me, this is a B plus. I'm giving it B minus in this one, actually. Okay. All right.
SPEAKER_02: I feel it's very simple as presented. Yeah, but I love the potential. So, you know, keep impressing us here. But great job. Great start to the Mindy calm and great domain name to Mindy calm. I love it.
SPEAKER_03: Love it. Exactly. Great. Okay, next one. We're gonna keep we're going through a lot of here. Yeah, like, okay. So brave browser, you know, most of my favorite browser. I love it. I use it. Okay, excellent. Okay, so they've in their nightly build, you have to get their nightly build. Okay. You know, just you download the browser, you do your regular thing. Oh, you know, I'm trying to learn about the Queen's gamut. I'm gonna go to the Wikipedia article. Yeah, you know what, like, screw it. I can't be bothered reading it. You just go right here, you click on this thing called Leo. You say summarize this page. And boom. Beautiful, right? Yeah. And you
SPEAKER_03: know, like, I could be, you know, in tech meme today. And, you know, I can't be bothered to read about what happened at open AI day. But like, you know, I really tried to just give me the short summary of that page. Yeah. Look at that.
SPEAKER_01:
SPEAKER_02: Fantastic. Right. Yeah. So this is a great feature. And then I think it should do this for bookmarks. Okay, so I would say this summary should summarize and bookmark and put into my knowledge base, which is to say, what I would actually like this to do is I would like brave to take every page I browse into these and organize them right. Okay, so instead of doing this, I want brave and this would be a paid feature I paid 10 bucks a month for every single page instead of having a history. So I would build a summary of the page, give me a picture of
SPEAKER_02: the page and build me a knowledge base and categorize it. So then I can say I would you know, I surfed a page. Okay, I remember there was a story about Corvettes being converted into EVs. And it would be like, boom. Yes. Here's the story you read on this date. Yeah. And here are other stories related to a boom. That would be a killer feature. Right. So this history, your browser history, becoming an AI, a language model
SPEAKER_02: into itself. That can be killer, integrated into everywhere you've
SPEAKER_03: served. And then we always have those moments like, Oh, man, where was that? Then you're searching like crazy, and you can't quite find it. And it was the one particular article that you got through to some link, and then suggest things to me,
SPEAKER_02: based upon what I've done. You know, you see, I'm going and looking at next, you see me looking at recipes for breakfast foods. Okay, you know, I'm into, you know, I dig my brunch, you know, I dig my next, give me my next thing. So I give this I give this a solid B. Okay, this is something we all want built into a browser. And it shows incredible potential of, you know, browser plus AI, I think they should keep pulling the string and see where this leads them. Yeah. And you can see here
SPEAKER_03: from the, you know, oh, they'll use different nation. And you can get different tasks, you can up, you know, kind of upsell into more advanced models and conversations about the page. So not just summary. Yeah, but like conversations generation. And so this is a great place for them to put those features in. So it's a great monetization, as you would say, lots of monetization here. Lots of monetization. All right. Yeah. So okay. You didn't give a grade. What do you give? I give these guys a B two, I think this is great. It's a good start. You know, I use kind of brave not as my main browser, because we're, you know, I use Google workspaces for everything. But I think this for my browsing browser, I may move all the activity over here now. So I'm very excited. You can do it with
SPEAKER_02: one click, by the way, it moves everything over because it's based on chromium. Yeah. And so but the other thing that happens with the brave browser is because they get rid of all the focaccia, you know, all the cookies and ads and popovers. It's incredible. In terms of the speed to load pages, and also,
SPEAKER_02: when you have pages that are just too heavy, that have all kinds of crazy pops, it doesn't take over your browser. Now, I know that's only like one out of 50 pages you might go to. Yeah, but it really does speed up your browsing. And when you're that also, I would check out the brave mobile browser. Yeah, not to make this a commercial for brave. But shout out to my friends at brave. Yeah. Because when you're on mobile, and you're on a really crummy connection, like all that stuff is like 50% of the page is stuff you don't need. Oh, now. It's really bad. It's really bad. And some people are like,
SPEAKER_03: you go to the New York Post or drudge or some of these pages.
SPEAKER_02: It's just like, I don't know how many cookies are going on. It's like, the first cookie box and then you got to sometimes add
SPEAKER_03: up. So it's like, yeah, I got to X things out. It's just it's too
SPEAKER_02: much. So when you're using it on mobile, you really can see how dramatically faster it is. Okay. Oh, I'm gonna give that a try.
SPEAKER_03: Yeah, pretty great. Okay. And let's go to our last one, which is I know you're a big fan of these folks as well. Zapier makes you happier. I love Zapier. Exactly. And so, you
SPEAKER_03: know, I didn't do the end to end demo here as well. Because I you know, the team doesn't sometimes like it when I integrate things into our slack. So I don't always get the full freedom. But here you can see how straightforward it is now as I can say when I get an email from Michael Gertin sent me a slack message. Yeah. And you and I were having a kind of a group chat conversation this this weekend about like, hey, when certain emails come in, you should put it into slack channels that you can talk about. So they're just making
SPEAKER_02: this specifically about expenses, I wouldn't say whose discussion this was, but yeah, I have a channel for expenses. So when producer Nick or fresh or somebody on the team, expenses something I and the accountants or whatever, see it in real time from I don't know which card it is. But whatever card we use it and then it zips it over into slack and I see it. Now what's interesting is I'll see things and I'm like, Oh, we're paying for that. I didn't know that I might want to use that. Or what is this thing? I don't even know what that's about. So I can just reply to the Twitter thread to the slack threads. Like, what is this? Then imagine fraud, imagine somebody were stealing money, or using the corporate card in the wrong way. You can be like, hey, who went to Miller and Lux and a Warriors game and be like, Okay, that's a lot. But if it was somebody else, I'd be like, what's going on here? You know, I'm not I haven't been to
SPEAKER_03: Warriors game in three months. What's going on here? Right? I know. Let's go. Yeah. But so you know, the idea, you know, these things were, you know, look, Zapier had always done a good job of making these things like pretty easy. I think it's now at the, you know, lowest barrier, like you just come in here, type in what you want, it then creates it for you. And then you just kind of go through their their their usual builder to connect it to all your services to make it happen. Right. And so they couldn't have made it easier. I think they've done an incredible job. Yeah. And there's no reason you should not be using this service now. Yeah. So when you previously did this,
SPEAKER_02: you had to do if that this then that Boolean that you had to like, do each thing. It was a little bit I want to say it's complicated. But yeah, I think, you know, the bottom 50% of your company, you're depending on how tech savvy they are like at a small business, I would say the bottom 50% would struggle with this, the top 20% would do easily and 30% would take him out, you know, 15 minutes to figure it out, they'd have to watch a video, right? This is just going to make automation a lot simpler. Yep. If you can do it in natural language. So this is another example of making things easier for civilians to be really good at technical tasks. Yes. So it falls into the whole thing we did with, you know, the code interpreter, which is another terrible name, what was doing the branding and opening I just call me I'll tell you what the call things. They shouldn't call it code interpreter, they should call it data scientist. That's it. Oh, that. Well, they changed the
SPEAKER_03: name like twice. They called it code interpreter, then it was advanced data analytics. And then today they call the code interpreter again, just call it analyst data. I like data
SPEAKER_02: analyst or analyst data, you know, something like that. But anyway, the point is, making things easier to use. So if everybody could be a good writer today with AI, that's great success. Everybody could become good at scripting and doing Zapier. That's amazing. If everybody could do basic UX design, if everybody could do basic music, composer, the entire society will go from being neophytes to good. Yes.
SPEAKER_02: So like, you no longer have to suck like 80% of people suck at everything. Now everybody's gonna be good at everything. And then there'll just be some people who are elite. But we won't have this like elite and suck. Yeah, just everybody will
SPEAKER_03: be okay to sort of the mobile phone did that for everyone to like, you know, once everyone's on the smartphones, well, look, once everyone got on smartphones, we had that same thing. People used to struggle with directions, right? Yeah. Right. Think about like, and even when you had online maps, you still have to go to, you know, MapQuest and print it out and do this like now it was an equalizer. Exactly. Now have you run into any person that like, can't get directions, right?
SPEAKER_03: Like, you don't even think about it anymore. Yeah, the idea that
SPEAKER_02: you would be lost. It's an edge case being lost. Like if you're lost, it's because you're in a third world country or even then right? Like, yeah, it would be even hard because you would have the GPS location or your phone. That's actually the reason the fear of phone dying. Yeah. All right, I give this. Gosh, it's
SPEAKER_02: either a B plus or an A minus for me because it's a new division is great. Yeah, I'm gonna go ahead and go B plus, I'm gonna go B plus, I'm a minus. I was like, the one the
SPEAKER_03: one the one thing I was gonna hold back like, you know, the one thing that helped people back is like that if then else kind of, you know, scenario I have ft right. And it's just simplified. Now you don't have to do you specifically tell it, hey, when I get an email from this person sent me a slack message. Yes, it walks you through the configuration. And that's gonna really make things a lot more productive for folks. You can use it outside of work use cases as well. And I'm very excited by it. The simplicity of it.
SPEAKER_02: Fantastic. And you know that Zapier has all kinds of really interesting things like they have type form LinkedIn, Instagram. Yeah. You can do all kinds of crazy things. Yeah,
SPEAKER_03: I'll actually just go back and let me just pull that back up. I might have lost it here. Oh, yeah, here it is. I might have lost here. They have some producer that you use Zapier at all or no? Do you
SPEAKER_02: have any zap set up right now? producer Nick? No. So why don't you go ahead and do this for the show? Well, yeah, see if you can do some of these Nick for the show where when I think we I think I set this up long ago when it when we publish a YouTube video, it goes to a slack room like that set up right? You don't have that is set up. Yeah. Okay. I thought
SPEAKER_00: you meant Do we have any terms of like booking the show not with like, no, what I would like to do is when the show publishes
SPEAKER_02: to automatically do the tweet, do a LinkedIn, you know, whatever, do an Instagram, I don't know what's possible of like, just automatically when it goes up on YouTube, have an automated publish colon, boom. Because then if we forget, it's okay. We just at least got that out, right? Yeah, the problem is
SPEAKER_00: when you're uploading to YouTube, you have to go through I mean, sorry, when you're uploading to Twitter, you have to actually upload the file manually. It doesn't do it. I
SPEAKER_02: would still do that. But I'm saying like have Zapier at least when the YouTube video goes up, do a tweet, do a LinkedIn. That would be the full thing. It's just like a little quick signal that it's up and running. You can still do the fuller one. Yeah. Twitter not currently supported. Yeah. I think that
SPEAKER_02: was when you're here. Oh, sorry, Twitter. Yes, you got telegram. So they are trying to figure out my understanding with the Twitter situation is member Elon said, you have to pay in order to have access to the API. I think Zapier maybe hasn't paid or doesn't want to pay. I don't know what the situation is. I think like the mid the min price is quite a lot. It's a
SPEAKER_03: good, you know, 50 grand a month or something. Something like Yeah, they don't have the LinkedIn because I think the
SPEAKER_00: last time I tried it was LinkedIn. It wasn't working there either. Some of the social networks were getting annoyed
SPEAKER_02: that people were doing too much of this automated posting. So I think that it was frowned upon by some folks. But yeah, look,
SPEAKER_02: you're saying when this weekend startups publishes on YouTube, send a post on to the this weekend startups. Yeah, I just
SPEAKER_03: was copying and pasting. So yeah, I got the text wrong. Yeah, it looks like it does LinkedIn. Yeah, so it's great. We each
SPEAKER_02: have to connect it. Great. Awesome. All right. Yeah, I'm gonna I'm gonna go B plus. Pretty great. Okay. Awesome. All right. Well, what a great day. And then next week, we'll do grok because I got access to grok. You got Okay, you get access yet or no? Yeah, I just got it when we were sitting
SPEAKER_03: here. So yeah, so I just got it. It's a pretty solid at first
SPEAKER_02: lance. Yeah, I would say it feels like it's maybe six months behind something to that kind of was crazy is look, they did it
SPEAKER_03: in like, you know, less than 90 days, which so that's impressive. Yeah, yes. And it has the entire Twitter corpus.
SPEAKER_02: So I think what my guts telling me because I did some searches, okay, I think for real time, it's going to be the best real time ever made. Okay. Because you'll be able to do something like, tell me about the Lakers game tonight. Yeah. And it'll be
SPEAKER_02: like, yes, you know, LeBron had an ankle, rolled his ankle left at this time. You know, Anthony Davis had 40 points, and this person turned the ball over seven times. So you'll get like that in real time. Okay, it'd be really interesting. And then also it let you have multiple chat windows open at once. Yeah,
SPEAKER_03: I saw that. And then you can also see the branch. Yeah. Yeah.
SPEAKER_02: Yeah. People what the branch thing conceptually that is get with an example, please. Well, yeah, we will do it like live
SPEAKER_03: next week. But I think the the concept is you start a chat, and then you want to basically keep that main chat going and you want to take you know, you want to branch off that chat because you have like sort of another idea. So let's just say you're talking about, you know, this week's basketball game and it's it's going you know, you're having some back and forth. But then you're like, Oh, I want to, you know, talk a little bit more about LeBron because I'm curious about x, y, and z, you can kind of jump out from there into a chat related, related to LeBron. That's, that's the concept that they're going after, which I think is a unique UI concept. They have some definitely really different UI concepts, which I think is good for this chat era. It's also a little bit rebellious, or I think they're
SPEAKER_02: going for a little bit like cheeky. And so I had a rebellious mode, it was kind of being funny the whole time. Yeah, which was fun, you know, like, I think it's gonna have a playful nature to it. And listen, Elon entering the race, with, you know, all these other players is only going to up everybody's game.
SPEAKER_03: Well, that and he's gonna push people to go even faster. I mean, we're already going super fast, right? But now, I think I'm very, I think overall, for the ecosystem, it's good to show that in less than, you know, kind of 90 days, and you only spend so much money in that amount of time as well, that they were able to pull this off. And that's going to, you know, force people to reset, like, think about what you got to be thinking if you're at Google right now, and they haven't even released, you know, sort of their latest and greatest yet. So it's gonna be where I think Sundar could take a note, which is, if you
SPEAKER_02: saw Sam out there today with Satya, Nadala, you need to get out there and start having the leads of every single division, Google flights, Gmail, Docs, YouTube, every leader on January 15, needs to get out there and do the do their demo of what they accomplish. And if you didn't accomplish anything, then maybe somebody else needs to run YouTube, maybe somebody else needs to run Gmail, that somebody else needs to run Chrome, like the fact that brave is releasing stuff in Chrome isn't Yeah, tells you even even the email thing like
SPEAKER_03: that should be in Gmail, right? No, you know, like, kind of media, this just go by Mindy or something. But like, that's the
SPEAKER_02: I mean, they just need to keep up. And I think this is where like, it's a great organizational case study. Yeah, how paranoid Sundar is about this is going to speak volumes. He should be super paranoid. And I would be lighting a fire on every division head under their under their feet, like, let's go,
SPEAKER_02: we're going to do a demo. Every single Google products going to demo their AI stuff on January 15. Good luck. 100 days and counting or I would just tell everybody like 100 days from now we're doing this. No, you're gonna have to demo what's new on YouTube. You know, that's six pretty much Yeah, Jan 15. That's
SPEAKER_03: 100 days from 100 days, whatever it is. It's a it's
SPEAKER_02: November, December, January, February, wait, December, January, February, February. Yeah, like March 1. We're going out there for South by Southwest. It's on. Let's go. Rock and roll the end. Okay. There's been another amazing
SPEAKER_02: episode of this week and start with Sunday Madra from Definitive Intelligence. If your company needs help with AI, he's your guy. Yep. He's Sunday on Twitter, right? You have the first name club. The first name club. All right. Follow at
SPEAKER_02: Sundeep and we'll see you all next time on This Week in Startups.
