SPEAKER_03: Oh, Jason, where do we even begin? Your tweets are like a roller coaster ride through the Twitterverse. One moment you're making predictions about banks. Pretty good poll. And the next you're trying to convince us that a tiny covert pendant isn't the creepiest thing ever. Okay, that's pretty good. Those are good polls. Yeah, let's not forget your obsession with coal plunges. You're like a human popsicle. Oh, always trying to one up your friends on Twitter. And don't even get me started on your AI request. You're like a kid in a candy store except a candy store is Twitter. And Twitter is an AI generated Renaissance painting. But hey, let's leash the consistent in your love of roasting people. Just remember Jason, you're a prime example of why we should never take ourselves too seriously on the Twitter. Keep the laughs coming. And maybe one day you'll find a coal plunge that can wash away the absurdity of it all. This Week in Startups is brought to you by LinkedIn
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SPEAKER_03: Alright everybody, welcome to This Week in Startups. It's Monday. So it's Madra Monday. Yes, my pal Sundeep sunny Madra is with us. He is from definitive intelligence and an investor in that company. Go check out definitive.io and what we do here every Monday now in the age of AI, you can get used to it is we just show and tell demo or die like the old days in the computer hacking clubs here in the valley. You just show what you built. You'd show your work, right? You'd show up, you show up with your work, and you share your work. And we all give it a letter grade here and we give it some feedback and some general thoughts. So this has been a crazy week you and I have been for the last 10 days playing with grok g r. Okay, the new AI startup by Elon Musk and a really impressive group of talented people. And they have access to the Twitter firehose, which nobody else has access to. And so let's get right into it. Sunny, what are your initial thoughts? And maybe we could do some demos here grok? What's working? What's not? Yeah, it's very early days. So frame it for us where they're at. Yeah. Well,
SPEAKER_01: very early days, like, first of all, there's a couple of things that, you know, we got to give them kudos for, like, you know, the company was only ideated, you know, six months ago, even less, like, I think may, and then, or maybe that six now. And then honestly, I think they really only started building it like three months ago. And so this is version zero that we have access to. And I think they're already working on version one. They've talked about the infrastructure, which I think Elon mentioned on the Lex pod, number 400, which they did this with like 10,000 a 100. Right. So yeah, so, you know, really interesting. And that is a large cluster of a ones. It is it's, you know, it's probably, you know, like 100 plus million dollars of capital expense, or if you wanted to, you know, rent it from someone who probably caused you similar amounts on someone's cloud and hard to get access to that. So yeah, he probably knows a few people, given who he is to get access to it and build that that may be a long falls and
SPEAKER_03: wants to make 100s, maybe he can get the right person on the phone. Yeah, and look, like they have the advantage that they're
SPEAKER_01: not new to this, right? They're obviously been building clusters for a long time within Tesla, right. And so they there's a, there's some advantage to them that they understand like how to build it, how to get the internet connects all set up and you know, data center space and everything else. So which is gives them the advantage of moving pretty quickly, because sometimes you can get stalled there. Right? Just
SPEAKER_03: infrastructure, once again, is a roadblock. It became a non issue for the last 20 years since cloud computing came out. Yeah, every month, he gets cheaper and easier to just throw something up on the on the web on the internet. Now with AI, a little more compute intensive, not so easy. I'm sure we will build up the resources in the next, I don't know, two years, three years for it to be easy again, do you think or do you think we're going to constantly be playing catch up here? Well, you
SPEAKER_01: know, this is what you'll just kind of go because we're going to get into grok here. But he mentioned on the Lex pod that he thinks we're gonna have an oversupply of AI related compute resources within the next 18 months. That was my position as
SPEAKER_03: well. Yeah. And I talked to him about it. And I use the analogy of fiber. Remember, we got all got very excited about the end of fiber in the end of the millennium, and into the central last century, and they just started building so much fiber everywhere. And we didn't exactly have the tools, you know, built in, we didn't have YouTube, we didn't have HD cameras on our phones, right. So what was the use case for all that bandwidth, and a bunch of companies went out of business. And then a bunch of that got bought out. So they have it. And
SPEAKER_01: they're opening up this tweet just to get it right. So I think stars 8, 8,000, not 10,000, a 100, and that he expects, you know, so he expects them to get to right and so 64,000 by mid next year, pretty 64,800 by next year. Wow. Okay, so here we go,
SPEAKER_03: everybody. If you're not watching, we're going to sportscaster. So we'll describe what's on the screen for you and the implications of it. But if you want to watch Spotify supports this week in startups video, there is a this week in startups video feed on iTunes, if you search for it, and of search for this week in startups. Okay, yeah.
SPEAKER_01: So you know, one of the things that we'll just start out with is, you know, it has these like two modes. And so if I if you know, if I kind of start a new chat, I'll flip back and forth here a bit, you're gonna see fun mode and regular mode, and and you know, the fun mode, as you'd expect, it kind of takes things takes an edge off, make some kind of funny and your one thing that we must do, I think, and I've got some, you know, queued up already. So you know, you don't have to wait for it to print. It's quite fast. One is in real time. But I said, look, one thing that everyone's doing last week, Jake, how no one did it. And now we'll do it this way is like, write a toast. Write a roast. Oh, Twitter user at Jason based on his tweets. Jason, the best thing to do is for you read your own roast here. So I'm gonna let you do it. Oh, Jason, where do we even begin? Yeah, your
SPEAKER_03: tweets are like a roller coaster ride through the Twitterverse. One moment you're making predictions about banks. Pretty good, Paul. And the next year trying to convince us that a tiny covert pendant isn't the creepiest thing ever. Okay, that's pretty good. Those are good polls. Yeah, let's not forget your obsession with cold plunges. You're like a human popsicle. Oh, always trying to one up your friends on Twitter. And don't even get me started on your AI request. You're like a kid in a candy store except a candy store is Twitter. And Twitter is an AI generated Renaissance painting. But hey, let's leash it consistent in your love of roasting people. Just remember, Jason, you're a prime example of why we should never take ourselves too seriously on the Twitter. Keep the laughs coming. And maybe one day you'll find a cold plunge that can wash away the absurdity of it all. I mean, listen, it's not ready for stage. Yeah, but it's a good workshop. Like if you had a junior comedian in a room, and they said, Hey, we should do something about cold plunge. And that the AI pendant that you were wailing on, and of course, your Silicon Valley bank all caps tweet that everybody roasted. Pretty good start, honestly. And you can see the power of the Twitter data. And the more involved in social media you are, what you can see is AI is going to, you know, with access to the latest and greatest on social media, which Twitter has a lot of the smart people, this could be like this could vindicate Elon's purchase of Twitter. Now he purchased it because he wanted to get rid of the woke mind virus. And because I think he had a personal affinity towards it. He loved it. But he did think that, you know, freedom of speech was important. This woke mind virus needed to be killed. And I think also, now you can see that, hey, maybe you won't lose $20 billion on this. Maybe this is the start of something really important. And if he has this data, and nobody else is allowed to have it does, then you're going to be using grok an awful lot, right? You can see yourself saying, go
SPEAKER_03: use grok, right? Well, that and you know, especially in like,
SPEAKER_01: let's just maybe kind of keep going through these examples where we can kind of highlight. So, you know, last week, there was a controversy around the latest Mr. Beast video, where he, you know, made wells in in Africa. And so you gave people clean drinking water, and the mids on Twitter attacked him.
SPEAKER_03: Honestly, I don't think these people who are attacking him actually think this, I think it's just an engagement farming strategy totally, totally the way like, who could be upset
SPEAKER_03: about giving water wells to people in various African countries? Yeah, yeah. And what's really interesting here is
SPEAKER_01: like, I like I like the approach that grok took, this is obviously not in fun mode, this is in regular mode, where it kind of gave both sides, right? It told it said what the critic said, and then on the other hand, it talked about, you know, the what the supporters of Mr. B said, so so you said, what is the
SPEAKER_03: controversy with the latest Mr. Beast video? So yeah, this is something where you will see something trending and you want to work backwards to know what's going on. You hear somebody was on trial, somebody died. Yeah, a celebrity died. Somebody's trending like, Oh, my God, Christopher Walken's trending. Oh, no. Chris, walk, it's trending. Wow. Yeah. And you get nervous, right? And you want to work backwards. So here, you're just asking grok, what is it? And it says the country surrounding Mr. Beast latest video involves his philanthropic efforts in Africa. He recently built 100 water wells in various African countries, which has sparked debate about the portrayal of Africa and the impact of such actions on local communities. Oh, my God, when people when
SPEAKER_03: people say local communities and perpetuating stereotypes, that's when you know, you're going to get snowed, right? Like there's not actually an issue here. There's no stereotyping perpetrated here, except it's the frontier market. It's an emerging market and emerging markets are further behind the developed markets. And that can go for China, Vietnam, and then to an African country then to, you know, you know, a country run by a dictator, like North Korea, there's no harm being done here to say that some places need clean water, or maybe they don't have access to clean water. Oh, my God. Okay, critics argue that his actions may perpetuate the stereotype that Africa is dependent on handouts in quotes, and could potentially shame the Kenyan government. Well, the government's not giving people clean water, then maybe they should be shamed. Yeah. I hate to. I hate to point out the obvious and obvious on the pod. Yeah, they believe that this approach is charity. This approach to charity may not address the root causes of the issues faced by these communities. Okay, you know what the root causes? These countries are further behind in their development, because in a lot of cases, they're run by dictators who have stolen all the money and have oppressed their own people, in which case, that maybe you do want to shame them. Now I'm not speaking about Kenya, in specific here, but I'm just talking generally about dictatorships anywhere on the globe. It could be Latin America could be Africa could be Asia could be North America. On the other hand, support is to Mr. Be appreciate his efforts to provide clean drinking water to 500,000 people and believe that his actions are genuinely helping those in need and that it gives you two tweets that this is called from. You got to assume that it's pulling not only the tweet, but do you think it's going to the target news site and pulling that as well? I
SPEAKER_01: think like, you know, as we go through more of the examples, it has the capability to do that, like when you when you know, we can do some live, I just pulled these up, so we don't have to kind of do do them. But like, I have some fun ones here that kind of highlighted as well. So okay, this is another place where like, you know, Twitter, sorry, Brock is really shining because of its access to Twitter data. And, and not having to, I guess, you know, rely on like web search, which is going to lead to, you know, I think, problems in some regard as well with like all this, you know, people, there's a new version of robots dot txt that's out there, right, where sites are saying, hey, don't crawl my my data for AI bots, right? That was kind of implemented recently. And so was it what's it called? You know,
SPEAKER_03: that have like a name? Well, I don't want to kind of miss
SPEAKER_01: stated. So we'll pull it pull up the actuals. But it's like, you know, like robots dot txt, but for for the eyes, I said that a
SPEAKER_03: year ago, like they should, you should have to, there should be a license. So it should be, you know, whatever it is, New York Times comm slash license. And when you read the license, it should say in the license in HTML readable semantic code. Here's the license, you can use it, you can reference the New York Times in your language model with a citation. And you can summarize an article of up to, you know, for up to two sentences of summary, three sentences of summary, you cannot use it to train your model. Yeah, right. So training equals off. Exactly. Or it could be, you know, for every if you want
SPEAKER_03: to, you know, summarize this, you have to have a paid subscription. Yeah, any number of issues, any number of ways
SPEAKER_02: to handle it, I was just pulling it up here. So I think they're
SPEAKER_01: just doing it within robots.txt, you can block the GPT bot user agent. So they've given it a different user agent that you can put in there and say, Hey, you know, you're not you're opening. I did that proactively. Yeah, yeah. Smart
SPEAKER_03: move on their part. So here comes their defense. Hey, you can just opt out. It's up to you. So that's the that's the opt out of defense. It doesn't work. It's just on a go forward basis, it might lower the number of people who might potentially sue you. Does it mean if you trained it on data, you didn't know that you're not trouble? Yeah. All right,
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SPEAKER_01: You know, here, I'll give another good sports example where you kind of want something much more real time. And so remember, some people are listening. So read it. Yeah,
SPEAKER_01: exactly. And I'm gonna go through it. So I basically said, Hey, how did Zach Wilson play last night? You know, he's been the replacement for Aaron Rodgers. And he says, you know, based on his information available, Zach Wilson's performance last night was a mix of positive and negative. First player to have 250 pass yards and 50 rush yards, which is notable, but he also threw an interception late in the game, which was considered inexcusable by some. And so you know, really, just super helpful, like for these type of things where you know, something has happened, you're seeing about it on and then it keeps you the citations. It shows you the tweets and pull
SPEAKER_03: this from. Yeah, exactly.
SPEAKER_01: That's the key. This is what I've always wanted. Yeah, I've
SPEAKER_03: always wanted the ability to summarize what's on Twitter in real time. It's really powerful, you know, like, tell me the sentiment of the movie The Killer, which we were talking about in our group chat. Yeah. You know, some people liked it, some people didn't who liked it, who didn't. And then you could would be really nice is if I could say here, which of my followers you know, who are the followers of at Jason who like the Knicks, I would like to know who follows me that likes a Knicks? Can it do that? I don't think it can do that yet. Yeah, it doesn't understand followers, follower counts. Yeah, you know, the database of tweets, like, what would you call that information like SQL information database,
SPEAKER_01: the metadata of tweets, let's call it that, right? You know, because that's the you know, who liked it, who's followed it, right? And metadata of users. They haven't kind of made that information available to grok yet, which is there. And then look, like, you know, there are some other things, I'll just do one or two more. And we'll go on from here. But like, you know, this is the one that's been moving around. And I think it's been let's we can maybe come back to this one next week, where I know you were at the first one, I really would like to go to this starship launch, because you mentioned it was like, one of the most incredible things you've ever felt from the it was incredibly touching, I guess, a human to see that
SPEAKER_03: rocket ship go up and think about the ramifications of being able to send hundreds of humans, cargo, whatever, tomorrow. So it was like, very touching in a weird, hard way to describe, but hope would be the overwhelming hope and joy for the people who created it. Yeah. Okay. Yeah. And and just, I heard like, you know, from folks
SPEAKER_01: that were there, including yourself that it was just the sheer force of sound and energy was even you know, you guys were several miles away, or, you know, and you could still feel it kind of three in your boats. All right. And so like, you know, this is one where I think it's doing a pretty good job. And then, you know, there are some cases where, you know, we'll just go to kind of last week's pod, which was the one that all in pod, which is the one with with Jared Kushner. And in this case, I said, Hey, can you provide some interesting feedback?
SPEAKER_01: Can you provide a summary of this week's all in podcasts? Sure. You know, can you tell me specific episodes? That was episode 153. We did ask you for that. Yeah, it did. But you can see here it got it way wrong. Right. And
SPEAKER_03: nice impact on job svb collapse. That was Yeah, that's super. Yeah. And you can see here the hallucination is strong because
SPEAKER_01: it's like being very kind of affirmative in like, it thinks that episode was about that it had, you know, svb and kind of mixed a bunch of things up. I don't even think this this episode exists. And obviously in this format, right? Right. I think this is the balkanization in some ways of
SPEAKER_03: what we're going to see in AI, which is this would be a much better query for either somebody made an all in AI database, which is just the episodes, you might have seen podcast AI, a company we invested in. And then other people have started to make all in transcript thing, you know, AI versions where you can just only search the archive it would those would nail it, right. And then you have YouTube, which has it up there. But then you start thinking about Spotify, and you start thinking about iTunes, if Spotify and iTunes took the transcripts, everything, I don't know if they have the legal ability to do this, I think you would have to ask us for permission to build a derivative product, but maybe they'll just build it anyway. Yeah. You know, you could be searching for that. Yeah, yeah. We'll close out on a fun one. And so I just dropped
SPEAKER_01: in 420. This number means a lot of things a lot of different people. Yeah. And it gave a really great response here. Ah, the number for 20. A true symbol of the universe's infinite wisdom in some cultures, it represents the ultimate answer to the question of life, the universe and everything. In other cultures, it represents a time of day when people gather to discuss the mysteries of the cosmos. Yeah, they do that too. Sort of Yeah. I mean, you know, interesting. It's almost Yeah. Yeah. 20. You could do a lot of different things. We
SPEAKER_03: Yeah, we had kids. Let's say family show here. So let's keep it. I really like, you know, like I said, I really like its
SPEAKER_01: ability to have access to data outside of just its kind of training corpus and the way it answers questions. So I'm gonna let you lead out Jake. How what's your grade on this one?
SPEAKER_03: Um, okay, so it's not perfect. So you can't give it an A. No, yeah, but it's certainly not bad. So you can't give it a C, which means it's going to be a B. Right. Okay. So now you're going to do we argue B minus B plus or B, right? That's I think any logical person who's listened to us do this, this is and this is a 0.1 product. So based on how much work it's been
SPEAKER_03: into, you know, has been put into it, you can qualify it with that and say for three or four months work, this is an A plus, you could say that, but I'm not grading it based on how much works when I'm grading it against the market. So grading against the market, I wouldn't give it a B plus yet. But I wouldn't give it a B minus. So I'm just I think it's a solid D. Like out of the gate, it feels like you can get use out of it. But out of the gate, it's not gonna have the complete set of Twitter data that I want. Yeah. And I want to be able to
SPEAKER_03: say, tell me, who is the most who are the most credible Twitter users talking about COVID? Or who thought the vaccines were overhyped before we you know, we had the data for it, right? Like something really sophisticated like that, which takes into account time, the user account, how often they tweet about it, how often they get retweeted, how much engagement. So if I could just say, Hey, who are the most engaging? Twitter handles for the next, that would be really interesting for me. And if it actually gave and then put that on a Twitter list, and follow those, you know, like, that's what I want to do, I kind of want to automate what I do on Twitter. And there was a company we had invested in called little bird, it was get little bird, and they got bought by another company's sprinkler. And these companies did things like this with the Twitter API, not using AI, but they would just look for keywords, and then they would build an index. And they could tell you, these are the most followed accounts, talking about the next, these are the ones that get the most engagement, these are the most engaging repliers, you know, replying to them. So you could kind of figure out. And then you could say, if these were the top 100, nix accounts, who follows the most, who of the 100 gets followed the most by the other 99. So they get built like a meta ranking. So these are the ones talking, getting the most engagement overall talking about the next. But if you take those 100, who follows each other? You're like, Oh, this person is the goat of the goats, you know, it could be very interesting. Yeah. Um, yeah, I also like being able to do multiple searches at once. I thought that was kind of cool.
SPEAKER_01: Yeah, like, you know, I'm just kind of showing it here for those listening side by side, side by side. And, and you can even branch conversations, right? So you can look at the response tree of you know, how it got there, it's got some pretty interesting features, you can regenerate the conversation. You know, like, I tried what you were saying here, and you know, it does find kind of the list of things, but then it gives you like opening. Right? And say, like, Hey, you know, here's the way for you to kind of create a Twitter list, which is great, but you want that all integrated. Look, I'm going to take into account how quickly they've done it access to proprietary data, and I'm going to put it at B plus, I think, okay, fine. I think to do it that fast, the speed at which it runs at, and integrated kind of with the Twitter experience. And I think there's just some nice to haves, but like, you know, as a first release, and you know, we're getting spoiled, because we see the best of the best all the time, right. And so they've done an incredible job kudos to the team, they've done it really quickly, and you can feed back into account, and there is a grok subscription plan part of the subscription service costing
SPEAKER_03: 16 per month under the X premium plus. So on X, I think you get premium plus, which I think I just have premium. Yeah, but I had a friend at Twitter who got me into the grok beta, but I think I have to go cancel my sort of hate about no, you know, I moved on iTunes. Yeah, subscribe it from iTunes,
SPEAKER_01: you can do it there. If you can upgrade within the app, you can upgrade from premium to premium plus. And okay, and it does like, I want to go so they don't because they
SPEAKER_03: don't they charge you the 30% extra. Like I think Twitter, I don't know if they do 30. But they there's a premium you pay
SPEAKER_01: for going through the App Store. But yeah, I guess so if you
SPEAKER_03: that's an interesting just user question, like, do you want to go to the App Store? So it manages all your subscriptions, you pay an extra vig there to have it all nice and neat and not have to manage all those? Yeah, maybe a little bit easier
SPEAKER_01: to cancel. Like if you ever want to be a downgrade, because you just do it, you know, through the phone, like the Wall Street
SPEAKER_03: Journal. Oh, my God. The Wall Street Journal with those dark guys, can you imagine being the sanctimonious I hate to sound like Trump. sanctimonious fake news media uses dark patterns. Okay. Yeah. nested.
SPEAKER_03: No, they do. On one side, they're like criticizing everybody like the New York Times and Wall Street Journal criticizing big tech and then they're doing dark patterns. You can you can sign up for anything you want. You just can never leave. And if you do want to leave your phone number and they harangue you for 20 minutes. It's also super
SPEAKER_01: confusing because they have like an app subscription and they have a iPad subscription and web subscription Apple News. Yeah, it's just no Apple News is different because some things are included in Apple News and some it's all man. What's all dark patterns? It's all dark patterns is shame on you. And
SPEAKER_03: then you know, like, I was having this issue with Peloton as well and totally just let me pause my membership when I'm not using it. I just want to I think this is where Lena Khan could actually do something meaningful for consumers like as consumers was frustrating for them as opposed to like saying to consumers it's frustrating to have Amazon Prime it's not frustrating to have Amazon Prime. You know, it's frustrating not being able to have a standard for pausing subscriptions, canceling subscriptions, make a standard to protect consumers. That's it just like we didn't banks where banks have to show you your interest rate on the top level of your statement, and they have to show you your interest paid to date or per year. You know how you all of a sudden that magically showed up in all your apps? Yeah. Did you notice that like when you open your app, if you have like a margin loan, you have a mortgage, it's like very much you paid an interest, they
SPEAKER_02:
SPEAKER_01: forced them to that was like all Dodd Frank, I believe is that
SPEAKER_03: they were like, Listen, be super clear about this. You can't bury it or make it confusing. You have to say, here's how much interest you paid this year. So you know, people who were using their credit cards and getting charged 20% and they had 10,000 on their card, they didn't realize they're paying like $2,000 a year, you know, to just float this 10,000. It kind of adds up and they go, wow, I'm an idiot. I'm really paying a huge big here or if it was like a 25% credit card, because they didn't have those introductory rates, then the introductory would go down and just everything was like six months
SPEAKER_01: and then it's like next thing you know, it's crazy. This is
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SPEAKER_01: what do you give your grade? Well, did you give me I gave a solid B. Okay, I mean, listen, I don't want people to think I'm
SPEAKER_03: in the bag here for Elon because we're besties like I honestly think nothing is fair. The grade is incredible. Listen, I would give the roadster a C as a sports car, right? It was like out of the gate. And then it was next thing the model s was an A plus. So they have a I, you know, Elon has a tendency to get something out there in the world, get feedback, and then nail it on the second try. That's my experience with his products. I think opposite of Apple who waits and waits and
SPEAKER_01: waits, waits, waits, and then you're just like, Okay, great.
SPEAKER_03: It's I'll be in your like, I used to be a big proponent of tiles. Yeah. And then air tax came out. And I was like, you know, as much as I love my tile team, and I was team tile for a decade, I had to move to air tags because it's just integrated, you know, it's like people using like control for or
SPEAKER_03: questron or whatever. Or savant. And eventually, recall that stuff out, you throw it right in the garbage after you spend a quarter million dollars or 100,000 on your home automation, and then use Apple TV and so on. It's like I do. Yeah, why do you use that? Because kids, your spouse, your guests, they all know how to use Apple TV and so on. And then they enjoy the music in their room when they stay at your house or, you know, turn on the TV in the movie theater or turn on the TV in the guest room or whatever. Just works. It's just supposed to
SPEAKER_02:
SPEAKER_03: just work. You're not supposed to be fighting against this technology. I feel like the GPT technology is getting there. I had a little moment internally in the company, people were writing emails that were not enthusiastic enough to founders. And I'm like, this is like very dry and boring as I can you highlight this and go into notion AI, Grammarly AI, Claude Bard chat, GPT, post your email to a founder in there and say, make this more enthusiastic. Yes. And they did it and it worked. And I'm like, Okay, you are an incredibly boring writer. Yeah. Add more stoke. Add more stoke, like chat and jt. On
SPEAKER_01: that note, let's get into chat GPT because it actually has. So we now have GPT is last week, we quickly demoed after demo day, definitely the assistant in the back end. And now we have actually the GPTs. And so what I'm going to do here is go into let me get my screen share set up.
SPEAKER_03: And the Dolly one. Oh, yeah, technically a GPT.
SPEAKER_01: Yeah. So these are the ones made by open AI. I've made some and, you know, we'll go through this whole process actually made one for our bestie Brad. But just what I want to highlight first is, you know, so open AI is made a few different ones here. One of them is actually along kind of lines, what you're saying is like this creative writing coach, which helps you improve your writing skills. And you know, math mentor mixologist laundry buddy, I think there's a chef mentor classic GPT. But I did something with game time, which I can explain board games or card games player any age begin. So I went in here and I I already have it kind of queued up. So you know, we don't have to do it real time here. So you asked it. I asked it. I have Ace King diamonds suit, you know, suited. And the flop comes jack 10 nine with two diamonds. What are my odds? Okay, and basically
SPEAKER_01: it sounds like you're playing hold them and a kick of diamonds in your hand and the flop comes you know, I'm just reading it out here. But comes jack 10 nine with two of those being diamonds are had several potential strengths and it talks about my flush draw my straight draw my straight flush draw and then combination odds, which I think is, you know, pretty awesome. You're trying to learn some of these games. Yes, you're learning outs and it tells you here for the flush draw, you
SPEAKER_03: have four diamonds, needing one more for a flush. Okay, so flushes five diamonds, you just establish that with folks, there are 13 diamonds in the deck and you've seen for your two plus a two on the board. There are nine diamonds left out of the 47 unseen cards, assuming a full table with no other diamond holds. No, like somebody didn't flip over their diamonds. The odds of hitting a diamond on the turn are approximately 19.1% nine out of 47. And the way you do that, the easy way to do this back of the envelope math is to just give each of your outs times it by two to write Yeah, you get 2.1 or something you get 18% Yeah, we do 18 on that, right? Just if you did 2.1% you
SPEAKER_03: would round up and you'd be like 19. So you got a one in essentially one in five chance of turning it and then a one in five chance of rivering it, which means you have a two and five chance. She's ever 40% chance of hitting. Yeah, here straight draw, you have a king and there's a jack and 10 on the board. So an open ended straight draw. Any queen or ace would give you a straight. Wait a second. mean or a sort of give you a straight. Why would an ace give you a straight? Oh, I said you have base 10. He got that wrong. Oh, okay. Bad advice. Queen. There are four queens. So there are four queens and three remaining aces. The aces wouldn't give you a straight. Wow. Okay, so you may not be ready for primetime. Somebody clip this and send it to Sam Altman because he plays cards. Sam. Yeah. Here we go. Sam. Yeah, I know Sam likes to play cards. This is a hallucination that could cost a lot of money. Yeah.
SPEAKER_01: And the straight flush dry messes that up a little bit too now that like I had just quickly done this.
SPEAKER_03: Specifically, you're holding for the queen of diamonds, which only said, I had said in the original question, jack tonight
SPEAKER_01: and comes with two of them being diamonds. So I didn't clarify specify which to write if it had been 10 jack of diamonds and a
SPEAKER_03: straight flush row would be a possibility. Again, who didn't it should have asked you a follow up question, which ones are the diamonds combined? Since you have both a flush row and a straight or you should consider the combined probability involves a bit of math to avoid double counting the queen of diamonds, right? That's true. 15 total outs, nine diamonds plus six straight outs. No, you have three straight outs. So it's actually nine plus three is 12. So maybe a disclaimer, do not
SPEAKER_02:
SPEAKER_01: use this for your broker. Okay, just yet. If you're calling it as is, yeah, yeah, we go all in what are my odds, right? And so basically, I kind of ran it through that. But now we have to take this with a grain of salt because it you know, details could be wrong.
SPEAKER_03: Our friends at Corian provide wealth management services centered around you. Corian's goals are to exceed your expectations, simplify your life and help you establish a legacy that lasts for generations. Coriant has been helping high achievers just like you enjoy their lives more fully preserve their wealth and provide for the people, causes and communities they care about. They're one of the largest integrated fee only US registered investment advisors. And Corian has deeply experienced teams in 23 strategic locations. Each team has extensive knowledge spanning the full spectrum of planning, investing, lending and money management disciplines. The teams at Corian put the collective power of their expertise into building you the custom wealth investment and family office solutions that can help you reach your holistic financial goals, no matter how complex they may be real wealth requires real solutions. For more information, speak with an advisor today at Corian calm, that's Corian calm. Can you show us how to make a GPT live on air?
SPEAKER_01: Yeah, so I wanted to do one for launch. Okay. And, you know, I made one for Invest America. Let me just show you that one real quickly. Okay. And then and we're going to follow a similar process. So this is the initiative that Brad is working on. Brad Gerson, the fifth best. Exactly. And you know, you'll see here, it has a URL, you can go to it. And if I send this to you, Jay, Cal and you open it on your phone, I'll just text it to you real quickly. Neat thing that they've done just as something interesting is if I send this to you, and you open that link, it will open chat GPT but as Invest America. Yes. Yeah. So basically, you get
SPEAKER_03: dropped into the Invest America app. GPT is our apps is a way to think of them. And you can make your own apps, put them in the app store. Yeah, essentially, or you just send the URL to people. So if you wanted to do this again, for Shakespeare, put Shakespeare's combined works in there, I guess as a PDF, and you can. Yeah. Happy to do that. So here we go. Okay, hold on. I
SPEAKER_01: mean, so with Invest America, how did you do it? What were the
SPEAKER_03: same? No, so I just went to the website because I didn't have
SPEAKER_01: any docs, and I was just doing it for fun. And so and I just said, Hey, I clicked on Tell me about Invest America. And it's going to go through a process here about, you know, all the content I'd given it, I can kind of just we can look at it real quickly. If I, you know, click here, open it up and click Edit GPT. For some reason, it's like running super slow right now. So I don't know if it's like, popular. Yeah, okay, here we go. Let's go here. Whoa. Okay. And so if I go into this
SPEAKER_01: configuration, you can see, I gave it a name, I gave it a description, I gave it some instructions, okay, which is this GPT provides information about and I this is just a copy and paste from the website. And I said the website is this the Twitter account is this. So you're with the instructions,
SPEAKER_03: you're being super clear that this GPT should focus on Invest America and giving it the resources so that it doesn't use its entire corpus. It's narrowed things down. And it knows what you're talking about when you click on it. Great. And then I
SPEAKER_01: screenshotted a few things from the Twitter account and gave it so that's all that that's all I did. So ah, you've done screenshots of tweets from the Twitter. Very interesting. So
SPEAKER_01: why don't we do one for launch fund? Okay. Okay. So let's just call it launch fund for this GP. GPT provides information about launch fund for which you're an LPM. Yes, I am. Okay. And alright, so let's let's say first capital call, I assume you shipped it. I have not shipped it yet, but I got the capital. So I I scraped a bunch of stuff from the website. So I just wrote it in this just text document called the PDF document called launch fund for great, right. I also took a couple of screenshots here. Okay, this morning, which should be on my desktop. Let me just make sure these are okay. I think these are the two screenshots I took these are about the companies and the team because I didn't have it anywhere else. Awesome. All right. And so let's just give it a quick instruction. This GPT provides information about the new launch fund. Okay. Anything else you want to put in here? launch for an early
SPEAKER_03: stage venture capital fund early stage venture capital fund. Okay.
SPEAKER_03: managed by Jason Calacanis, the host of this weekend startups and the all in podcast. So I'm just trying to give it a little more context here so that maybe it doesn't confuse us because launch is a very generic name. So it doesn't make a mistake there. Yeah. Okay. necessary or not. Yeah. Okay. The fund is
SPEAKER_01: right here. I'm just gonna grab this. That's launch.co slash
SPEAKER_02: four. Yep. Okay. And maybe the Twitter URL. Do these are
SPEAKER_01: Twitter URLs? We are we're at lunch. Yeah. Our Twitter URL is
SPEAKER_03: twitter.com slash launch. There's x URL is x.com slash
SPEAKER_01: launch. Okay. And so we're done. So basically, we do this. We're going to save save. And I'll just say only people Oh, we can have Dolly generate a icon for it. Okay. But it'll just take a minute or two. Let's just do that. So now I do that. So it's like making it live. So I have a launch fund for Okay, so now I'm in this. So if I, if I text this to you, just separately, I'm going to text it over to you, Jake. So you have it, you can try it. Yep. But I'll do it here. Okay, actually, tell me about punch strategy, the font. Okay. And let's see what it comes up. And so I just scraped the website, give it something and so here it goes, right.
SPEAKER_03: Okay, number one early stage focus the fund is primarily target C stage startups at their inception and supports them through series B funding rounds, large portfolio with significant ownership the funding aims to invest in over 400 early stage are the goal of achieving 10% ownership in the top 5% of these companies that's correct utilization of podcasts for reach and discovery. The fund leverages the popularity Jason Calacanis podcast correct found a university and launch salary the fund operates founder University launch accelerate funding versus an online course that helps funders ideas. Yeah, this is great. Yeah, I mean, this is perfect. Micro investments and future funding rounds for select startups, graduating from your rest of the fund makes friends and family style investments of 25,000. I mean, this is just nailing it. This is a plus. I mean, this is a plus. I would say, if you're asking me to rate GPT is out of the gate. Yeah, I think it's an
SPEAKER_03: A plus. Yeah, I don't know what you think. It's definitely an A. So we're then we're debating a minus a or a plus. Well, can it get better? Of course, it's gonna get much better. But is this going to change the game of starting companies and doing
SPEAKER_03: information retrieval and creating services? Yes. So the question is just websites and websites. The question is, what's the time between when you could create a GPT slash app? Or you could create one that replicates what slack does, or
SPEAKER_03: what? I don't know. Create a new Uber. Create a version of Yeah, you get the idea. This is amazing. Yeah. I mean, it's
SPEAKER_01: like, and look, it just took us, you know, five minutes, right? I had to say something that's incredible about this is how
SPEAKER_03: quickly you can do it. Yeah. Imagine this incorporates your stripe account. Right? Yes. In the next version, imagine it allows you to connect already. It can, you can like we just we
SPEAKER_01: made a we made like an informational GPT. Yeah, there was other features in there that allow you to, you know, so if I go back into this interface here, here, you know, if we go down below, you can add these actions and you can start basically connecting it to other services that you have. So okay, so made a very simple, simplistic one here. Which imagine this was open table, and you could get a restaurant or
SPEAKER_03: Yelp made one and you could query the reviews and then have it actually make the reservation for you. So if you start thinking about these as agents that go out into the world, like baby GPT, we talked about when we started doing this, like, that's kind of the next step is what can it do once it gives you the answer? Like, yeah. What if it had on there? Would you like to book a call with Jason Calacanis to talk about this? Then it asks you three questions. Yeah. Have you invested in a venture capital firm before? Do you have any questions about venture and it tried to answer them? You get the idea? Well, you can do that. So we will add that in
SPEAKER_01: that Jason, you know, sometimes you're really are the world's greatest moderator because you hit it. So we're going to keep saying that.
SPEAKER_03: According to the YouTube comments, people prefer other moderators, maybe don't ask us challenging of questions to certain guests.
SPEAKER_01: Interest interested in investing. Direct that to this Okay. Okay. So we just we added that and I was using Dolly to come up with an icon here. But it's taking this thing is a bit slow. I don't know. Dolly seems like it's really resource intensive. Yeah, that
SPEAKER_03: always happens to me Dolly takes way too long. I think it's like amongst their most intensive and it probably cost them a ton of money to Dolly so they probably make it slow and put it on like a slower framework. So yeah, you know, I just added that. So
SPEAKER_01: I said, I'm interested in investing. What should I do?
SPEAKER_01: Let's see if it incorporated that actual piece I just put in there if it didn't, but there you go. Right. And so there it is, we just did that real. So it's all of this is happening real time instantaneously developer. Yeah. Yeah. Yeah.
SPEAKER_03: And you could put in there, hey, if somebody wants to do a meeting, please ask him these five questions to qualify them and then yes, you know, set it to this count. Give them three dates to choose from. So you don't even have to go to the type form. Like we're sending you a form. It could do that whole interaction with you. Yeah. In changes. This is
SPEAKER_01: changes everything really, really big shifting. Yeah, yeah.
SPEAKER_03: It's totally paradigm shifting and Apple and Android. And you know, people have app stores need to look at this. So this is a message to Tim Cook. This is a message to Sundar Sundar. This is the next app store. You don't have it. Fire 100 people bring 200 people into a room, fire 100 of them. And then the other hundred put in charge and do like a Darth Vader type thing like this has to be up and running within 120 days. And it has to be better. It has to be not only feature just you 200 people have 120 days to make this better. And if it's not better, then fire 100 people in the room and then put the other hundred in charge. Yeah, you got to take like a Darth Vader approach to this because you're not you move away too slow. And
SPEAKER_01: imagine like, you know, so much of our interaction is on text. And you know, you if someone asks you like, Oh, Jason, tell me more about your fund and you send them that and it opens up like opening AI but in you know, the launch fund for view. And like I just chat with it like how powerful is that going to be
SPEAKER_03: crazy? The whole thing's gonna and then if it had a human seeing the chat and fixing it in real time. So let's say every time it fires up one of these chats, we get a slack room like a throwaway stock room that just shows them interacting and we're kind of watching it occur. And if you can jump in if it's wrong, and you can highlight and say, this is the correct answer for next time. Or you could say human coming in to intervene. So this is going to get super interesting. Imagine it's answering questions for American Airlines. And there's an American Airlines GPT and you just start talking to like, why does an American Airlines have one of these? Yeah, but I mean, imagine answering questions about upgrading the lounge. And then it's got something wrong about the lounge. Right. And it's like, Oh, if you have a bit first class ticket, you can business class ticket and go to the lounge. That's not always true. Sometimes your business, they're like, you can't use the lounge to be international business now to get it or
SPEAKER_01: something. Yeah. So it's like, okay, you can't use the lounge.
SPEAKER_03: It's like one of the stupidest, craziest thing, right? But just make it simple. If you're in business class, you get the lounge. If you're not in business class, you don't get the land. Why does it have to be like a game every time I go up there? Like I'm some pauper? Because they gave they gave too many people access to the lounge
SPEAKER_01: with credit cards that now they have to call it back.
SPEAKER_03: Okay, he's not my problem. Just if I bought a business class, I get let me go have a cup of bad coffee and use your slightly better Wi Fi and sit in a less hard chair. nicer bathroom. With
SPEAKER_03: that, yeah, with a bathroom that's been cleaned more than once every three days. Okay, great. But don't make it complicated. But anyway, if you were watching that, and it did have something there, it could highlight and say, to check if your business class ticket is go to the front counter. Sometimes it is sometimes it and then you just fix that or human could jump in and say you're at JFK. We're actually under construction. It's not available until January 1 2024. And then incorporates that into the next answer. So imagine I'm watching. So I'm a customer support rep. I'm watching some details, 10 of these in real time. And I'm just sitting there like this watching. That one's wrong. Boom, I go to number two, I fix it. Boom. This was right. Now imagine I'm doing that not for customer service at American Airlines, but I'm doing that for giving advice on indigestion. So I'm a doctor, I'm an emergency care. Yeah. And I see people coming in and saying have indigestion and ask them this question. Hey, what did you eat? When did you last eat? When did this start? Have you vomited? Have you done this? And then it says, Oh, wait a second, this person says they ate some liquid soap or something. And it's Oh, yeah, go to the emergency room now. You know, like call 911. And can you imagine if that was done by AI, how many lives would be saved? Now? Listen, we just did the one with doing poker odds, and it was wrong. So you would want to be careful with this. You would be monitoring 911 calls in countries where you don't have access to a doctor. So the GPT would be by default better than nothing. And then you have some human watching it fixing in real time. There are emerging markets where probably people don't have access to doctors and they're looking stuff up on their phone, or they're just asking people, you know, for word of mouth recommendations for an upset stomach. They don't, you know, know what 20 questions asked this, I think we know coastal was right. I think these things would do a better job. You tell me what you think for the global population, then doctors would, or they don't have access to a doctor. Or if you did have access to doctor, I wonder if this would be better, because it'd be lower cost. I don't know. Well, two examples. So I think there was a woman who put in,
SPEAKER_01: you know, like the latest version of chat GPT, you can, you know, especially after the dev day launch, everyone has access where you can just upload like a PDF. And it's not like code interpreter, which is analyze it for you. And then she uploaded like her blood results. And it basically highlighted something and it said, she had this problem for a long time, and it just had a different view. And she's like, Oh, my God, thanks for doing that. Because like, nobody ever did that. And me personally, you know, my dad has Parkinson's. And so he's on all these meds. And the other day is like, I literally just took a picture of his subscription and just put it in the chat. You can tell me what all these drugs are. And it just did it for me. And so yes, rather than typing them all out, and some are generics, and some are not. So it's a game changer. It's a real real disclaimer, disclaimer, disclaimer, just
SPEAKER_03: stuff hallucinates, it gets things wrong. So you want to check. But as a first line in your discovery, I don't see any harm to having it tell you what is in your blood test, and then giving that response to your doctor. And saying, Hey, this thing thinks my iron deficiency, you know, I should have this treatment. And what do you think, I don't know where it's getting this information on the open web from. But I mean, it sounds to me like, every single time you get any kind of a doctor report, there's no downside to putting it through there and getting a third opinion and then bringing it back to your doctor and doing it in consultation with them. Well,
SPEAKER_01: I mean, it's like, it's I really like that idea. Like you said, you know, we always go for a second or third opinion, why can't you get one? And I think this is the article, just pull it up here. And yeah, so I think it says like, woman claims she had to be found correct diagnosis for her son's chronic pain, she put it in there, and then basically had these meltdowns and it found out. So I think it's excellent. Yeah, really, really good. Oh, man, I'm getting these ads running on here now. That's awesome. It's gonna go away too, because ads are everywhere now. And it's gonna have a different models much cleaner. Now we do need to get into the discussion of
SPEAKER_03: copyright. And now that there's a business being built out of this, who gets paid, because if you are giving this advice, and it's been trained on web MD, or other commercial enterprises data, there's an argument like can I get on the other side? If they got textbooks, textbooks, those textbooks, trust me, those are some of the most insane. But they could have licensed them. We don't know. I don't think I've not heard of open AI paying a single license. Have you? Well, many textbooks
SPEAKER_01: are out of copyright, right? What's the copyright? Maybe you can keep you can keep if you update them, you can keep
SPEAKER_03: them perpetually under. So if you were to like, just change a sentence, you could then renew it. Oh, really? Yeah. So it's you're talking about artworks, like a book like Great Gatsby or something like that. And those can be I think it's 75 years, or 50 years past the life of you just ask chat GPT, what's the copyright on a book, but I think it's 50 years after the author dies. And then it goes into public domain, but they keep increasing that and they call it the Mickey Mouse rule. So I think they made it 75 after the life of the thing because of when Roy Disney died, they wanted to get 75 years to that to protect the Disney family. So they call it the Disney rule now. But yeah, here we go. The copyright duration protects both the United States for works published in 1976. Last the life of the author plus seven years exactly what I said, for works created for higher anonymous or pseudonym works. The duration is 95 years of the publication 120 years creation shorter European your general's life of the author plus 70 years. Copyright laws can vary significantly most countries life plus 70 years rule. Okay, interesting. You learn something new every day on chat GPT. Yeah. We do. All right. Do we want to do one more? I think we have time for one more. Add one or we can just wrap up. It's up to you. Okay, we do one more. One more, right? Well, we give you what they want. We give them what they
SPEAKER_01: want. Okay, so this is let me get this set up. And I actually found this and want to use it myself. And so let me go here. This is called fake spot reviews analysis. And so this was like a historical plugin that you could add to your Chrome. And you can see it here I have it added in and on any couple of different sites. I'm just on Amazon here for those listening. You can see here I can say analyze reviews of the third generation AirPods to click this analyze reviews. Okay, and a Chrome extension you put in it's a it's a Chrome extension. And you know, before it would do these pros and cons, but now it has this little chat bot here. And this chat bot lets you chat with all the reviews. I like that. And so are the air pros good for large ears? Let's just say stupid. Basically, you know, like someone may have and and there you go. Right. So it's kind of
SPEAKER_01: looked through all the reviews that can give you an answer. I think that's like super.
SPEAKER_03: This is super helpful because I am often trying to being a product wizard myself. Yeah, ask very nuanced questions. And yeah, it's very hard to get through all the things. But I know how to search there is a search feature in the Amazon reviews, but I Oh, there is okay. I didn't feature but they don't have a chat bot. Okay, so you're searching for keywords. And so you can search for battery or whatever you're looking for, you know, if you're looking for the charging speed or whatever, you know, so yeah. Fantastic.
SPEAKER_03: Awesome. So I give that a B. That's a that's a B for me. Okay. All right. You know, it's nothing spectacular, nothing bad. I give it a B minus like, I would like to see something more interesting. Like it. So I encourage people making it to make it more than I would expect. I don't just want to chat bot that's going to be like easy. They can turn that on in 10 seconds. Yeah. You know, really easily turn on 10 seconds. So I would go with something more unique, what would be a unique feature to do with the reviews? Maybe tell me sentiment of the reviews over time? Yeah. So how many months of reviews are there? And what were the major? What were the major comments?
SPEAKER_01: They don't have quite that but they have like, you know, has this many reviews and yeah, it has some some amount of that. I'd like to tell me if there's fake reviews, too. I mean, I
SPEAKER_03: think it's cool. I'll be honest. Yeah. Okay, maybe it says it
SPEAKER_01: says Amazon rating is this but fake spot adjusted rating is this. Oh, yeah. Yeah.
SPEAKER_03: I like that I like okay, I'm gonna go be I'm gonna go B plus maybe even because I that's a that's an acute problem I have. I think when you're tackling this, you always got to think about, you know, you got to think about what are the unique problems or frustrations people have in the unique problem frustrations with reviews is how fake they are. Yeah, how fake they seem. And so that's something we can all use help with. Yeah. All right. I'm kind of with you B plus I think is
SPEAKER_01: good. You can always make it better. Let's do it. Yeah. Well,
SPEAKER_03: also, I think, back to anticipating if I whatever question I'm asking there, you asked the question, are they good for large ears? It should be asking what other air pod competitors are good for large ears? Or which so you should whatever query somebody does you should have another GPT running that says, What are their questions? Should I ask this consistent potential purchaser in order to help them solve their problem? Correct. And then show you those three purchase? Yeah, drive. You should be Oh, is this is this for you or for a loved one? Or? Yeah. And how large are your ears? Have you ever tried other? Have you? Do you have air? Do you have any ear ones currently that work? Well? Which brand are they? Or have you considered these three other brands? We hear that they have, you know, it turns out the ones from Google that I like the pixel buds. Yeah, I like the pixel buds because they're flat. Well, yeah, you said you're so when you lay on your pillow, at night, which are air pods, you ever get that you ever try to lay on your pillow with air pods? You wake up it hurts. Yeah.
SPEAKER_01:
SPEAKER_03: Okay. Hey, producer, john producer court. Do me a favor. Will you send Mr. Sandeep a set of Google pixel buds from the fine folks at this weekend startups as a thank you.
SPEAKER_02: Okay, that's Mr. Sandeep. Sorry. I say thank you to Mr. Sandeep. Thank you. Mr. Sandeep is here. I like referring people by their last
SPEAKER_03: name. It's so jarring. So jarring to call Mr. Calacanis. Yeah, yeah. Did you have that happening now that people are like who work for you or who work in your Mr. Calacanis?
SPEAKER_01: Only when you like travel like, you know, in like certain countries and you get it right. Like, oh, man, I'm like, don't like I turn around. I'm like, is my dad here? To my dad? Come
SPEAKER_03: with me. Yeah, which Mr. Calacanis. It's been another amazing episode of this weekend stars with your guy Sandeep Madra. If you would like, go to definitive.io. And you can hire definitive intelligence to do partnerships and consultations, but I think their dance cards fall. So if you're a large company, and you're spending, you know, let's say mid figure mid six figures engagement to solve your AI problems, his team is the one that will solve them very quick.
SPEAKER_01: That dashboard that you wanted the LLM ops dashboard. We'll do
SPEAKER_03: it for you. Oh, yeah. What what does that just remind me what we
SPEAKER_01: want to do now? So like that, you know, what we were talking about there is called LLM ops, like LLM operation. So I think a lot of businesses now are focusing on commercializing, you know, LLM applications, and you need like operations around it so that you can do those kind of things. It's for shopping with a lot of that infrastructure. Ah, got it. Yeah. Just the
SPEAKER_03: infrastructure here and the training of teams is going to take years to get this right. And definitive.io will do it for you faster. And you're in a race, folks. So get on the horn with Sonny is Sunday on Twitter slash x formerly known as Twitter and we'll see you all next time on this week at startups. Hey, write a review if you like the show. Talk to you later. Bye
