Threads, ChatGPT usage drops, and AI demos with Sunny Madra | E1774

0:00the best way i heard it explained to me was when you're behind you open source when you're ahead you're closed and if you look at say um windows they had a monopoly on the desktop closed they don't need to be open source um but then you look at google very far behind they have a monopoly on search so when they talk about search their algorithm for search is closed you can't understand how pages are ranked but then you look at android they went open because they were so far behind ios uh and stuff like that so they went open source and they wanted to be on everybody's phone so i think facebook going is closed when it comes to their graphs and everything right facebook instagram they used to be open when all the companies like were created you know like zynga and all and then they close the graph up you know at some point when they had a lead and nobody can compete with them which is exactly what open ai did they became closed ai so fascinating this This week in startups is brought to you by Finn can't burn its mouth on hot pizza or wave at someone who wasn't waving at them.

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1:49Hey everybody, welcome to another episode of This Week in Startups. And Sunny Madras here. my guy sandeep madra from definitive intelligence if you don't know what that is i placed a little bet on that company like i was able to get a little little tiny sliver of sunny's cap table uh serial entrepreneur and one of the smartest most fun guys i know welcome back to the program sunny to be back good to be back very excited all right missed you guys last week i know i know and I wasn't on all in and these guys did a rogue podcast without me go on vacation crazy these guys are out of their minds um but it was pretty good did did did Friedberg really do it in iMovie uh no I think he was no I think it was joking to do an iMovie but he did edit it himself I mean that's why it's like a little bit janky but I mean if you record a zoom podcast and people have good microphones yeah you you know it takes a bit of the visuals weren't edited so you get that four by four frame which i hate yeah it's like a bad experience to watch people drinking coffee or like checking their email or you know pulling up the next topic um it's much better when it's a single or you sometimes go to it um but yeah i mean i was impressed it it uh you know having hundreds and thousands of edits from sacks and everything like these guys really edit the pod so uh to make themselves like they they like focus on every little sentence and edit it in post like lunatics um i don't i just i'm just like whatever i said i said but these guys are like super precious and have their marketing and comms people like review everything for compliance which i understand like if you have funds you have to be careful but yeah they i mean we all agree to be off and then they're like at the last minute and i gave everybody producer nick and i tried to shut my company down that week and yeah i guess like i gave everybody the week off you know like they deserve to get a vacation day um but yeah not a bad episode uh but we should talk about there was one thing on there about ai which was the drop in ai usage um which i would have liked to comment on because i do think you know that whatever 10 or 20 drop is notable um in some ways and not notable in others what's your take on that i mean obviously kids out of school is a major portion so that's super interesting yeah so i think there's the kids out of school problem and then And I do think, you know, if we look back and it's kind of really timely in the next, you know, in the last 48 hours, OpenAI just released Code Interpreter, which, you know, we've demoed here early on because we had early access to it.

4:20But they just released that to everyone. And so I think it's there isn't there's a definitely part of this being impacted by where we are in the school cycle. And obviously, that's going to impact things. But I think more so having code interpreter available to all paid users is going to create a massive uplift for them. Because that's, you know, we've seen the functionality before. We don't have to demo it again, but it's been really powerful. Well, explain to people who maybe are hearing about ChatGPT's code interpreter. What is that used for? Just one more time for the audience. into it. Yeah.

4:53So the code interpreter allows you to give some data, usually in the form of a CSV file into chat GPT, and then have chat GPT help you with analyzing that data. And, you know, the example that we did was like some output of electric car registration data. And then we put we input it and we had we asked some questions, we had some charts created. So it's a way of like, having like your own personal data assistant around a smaller data set available to you. um and that is now available code interpreter to the people who are paying the 20 bucks a month 20 bucks a month exactly how many people you think are paying the 20 bucks a month now you think it's a million two million yeah i would say it's yeah my guess would be somewhere between two and five million if you think about that uh it's going to blow past the new york times which is i think at 9.7 million last i checked they might be yeah they're about to pass 10 million yeah uh and that's not insignificant if 10 million people well 5 million that's 100 million a month yeah 100 million a month 1.2 billion a year in subscriptions and subscriptions are generally 100 profitable right yep they do have some infrastructure costs but i think they could become if people are willing to keep paying the 20 bucks a month that'll be the real test yeah i also people don't understand that all web traffic youtube twitter facebook everything goes down a certain percentage during the summer because people are on vacation they go outside so um i that's the obvious thing i also think there are some people who and i guess this is the more interesting topic the press immediately went to oh it's waning uh people are less interested in it which is such a stupid take uh because obviously when a new technology comes out everybody tries it because there's no cost to trying it but you find your natural audience for your podcast for your software whatever so what are your thoughts on um that angle that some of the press were like oh it's a fad it's a fad it's crypto well you know like it's definitely not right i mean the use cases are there you know we've talked about this the origins of this podcast was in crypto and so yeah look um the other thing that that it's hard to take into account until open ai starts publishing some type of data is many use cases have made their way into other products.

7:09So where you may not have to go to openai.com and, or, you know, chat, you know, chat GPT.openai, you may be using open AI indirectly, either through Notion or through any number of products that now offer integrated experience with their APIs, right? And their underlying LLMs. And so So I think it's like almost like let's think about AWS, right? When, you know, AWS initial customer was primarily Amazon, but then as they made it available to others, you have to look at AWS as, you know, from a revenue perspective, not just as a, you know, sort of a end consumer site. So I think, I do think, you know, these numbers and the way to look at it until we get some data or like maybe someone publishes something around their API, I don't think we have the full picture.

8:00So I think it's, I think people are just jumping to a story, which is easier to do than saying, because my guess is their API usage through all the startups and enterprises that are out there is, you know, increasing week over week at a pretty significant clip. Hmm. uh that is i think where the rubber meets the road when developers use an api that means yeah in some cases they are playing with it but in majority of cases i think there's some application that's going to hit consumers and they just don't see it and so you do not judge amazon web services or azure or google cloud by the number of consumers talking about it it's the number of developers talking about it and that is yeah and then ultimately their revenues you know those things report now separately and we can see you know what kind of huge impact that they've had on the you know top and bottom line of those companies well i mean the the growth of cloud computing was spectacular up until 2022 when it still was spectacular over 20 growth month or year over year but it did slow a little bit um i think because of belt tightening people during a recession or recessionary ish kind of thing we're in a in a down market in tech a tech depression

9:20yeah and you know what it's like a good kind of tie into this topic like a lot of folks have been pushing to the cloud for years right and we've seen those phenomenal growth numbers the one thing that i think companies struggle with as they were moving to the cloud was the benefits that the cloud provides because if you were a legacy business right and you were running either something on prem or maybe in, you know, your own, um, uh, data centers, um, those things are probably really efficient and moving to cloud doesn't immediately get you that efficiency where the efficiency starts to amplify now is when you want to start using like additional services, whether the services came from, you know, the cloud providers themselves or like third party services, which requires your data to be in the cloud.

10:03So I do think what we're going to see very shortly is a huge uplift in workloads in the cloud being driven by AI applications because that's the place you have to drive it. And so I think that's something we'll see that will play out, I think, in the next 18 months. Finn can't go through a goth phase or still be haunted by a bad haircut they had in middle school. Finn can resolve half your customer support tickets instantly before they reach your team. What is Finn? Finn is a breakthrough AI bot from Intercom. Designed for customer support teams, it learns your entire knowledge database and has the ability to carry conversations, remember context and nuance, while slashing your resolution times and support volume.

10:51Meet Finn, a breakthrough AI bot by Intercom, ready to join your support team at A. Visit intercom.com slash Finn. i mean let's just get to demos that's why everybody's here we did a little couple of minute preamble we got we got on the same page here but i love the fact that you're obsessed with this like i am i have been doing a couple of projects myself uh over at inside.com i won't talk about them yet uh but one of the things i'm was doing i want to get some advice on is how to tag things by category you may have seen i'm trying to have instead of human editors tag the stories i was trying to see if i could get oh yeah gpt4 to tag the stories correctly yes and i need to get a prompt that really does a good job on that so we talked about that offline or if anybody listening i'm trying to find like a database of like the most important topics in the world that yeah like somebody has come to the conclusion that these are like the actual topics so google has one it seems for advertising because yeah the 2700 yeah 2700 verticals that kind of represent almost all kind of topics i'm trying to figure out where to get that list from exactly and if google lets you use i can send you a link yeah no they publish it i'll send it to you they publish it because they want people to be able to download it incorporate it into their websites exactly exactly yeah i'll send you the first demo is coming up of course we'll sports guest says if you're listening um and not watching well go to go to youtube and type in this week in startups and go find the channel subscribe to the channel put the alert on because i'm going to be doing some breaking news alerts over the summer from time to time, but go ahead and check that out.

12:27Okay. All right. So this is a fun one and actually quite useful. I'll speak to this. When I was earlier in my career and I needed help and so I'm kind of creating a basic framework, I don't have an MBA. When you're trying to basically understand other aspects of the business other than technical, you want to have some framework. So this Venturist AI, you come to their website and basically you can give it a topic and it will come up with either an advanced or simple. The free ones are the simple thing and it'll do a business analysis. And so, you know, there's a great movie from the 80s called Brewster's Millions.

13:09And I don't know if you remember Brewster's Millions. One of the ideas that Richard Pryor's character is pitched on is a guy wanting to sell ice that's breaking off of icebergs.

13:22Artisanal ice. Yes. Yes. Your artisanal glacier ice. I mean, I'm crazy, but I think I literally heard a pitch on people who wanted to get artisanal glacier ice to put in fancy cocktails. I don't know if that was real or I imagined it or it was from Brewster's Millions, but okay. Yeah. And so basically, here is it generated by me. So what's this website called? Venturus, V-E-N-T-U-R-U-S-A-I, Venturus AI. Terrible name. Okay. Okay. um i kind of liked it but uh insurance oh i like adventurous but adventurous okay i get it or maybe like a venture you know as well okay so you put your startup idea in as i want to start a company that sells ice uh that breaks off icebergs very simple prompt and it basically turned that into a business analysis and feedback so it gave me a brief description it it basically you know did that on its own then it did a swot analysis for me oh wow it subsequently did a pestle analysis right which is uh you know political economic sociological technological environmental legal right the target audience and user stories um you know business strategies business frameworks and you know i'll just i won't read off all things here but it basically gives you a solid framework for a business and in many ways jacal you know you guys do this at inside right when folks or launch i'd say right at launch when when folks show up with something i thought they did an incredible job and this was the free version they have orders five forces analysis this is what's really interesting about this is they went into subcategories or other other people's frameworks for analyzing a business one of those is port is five forces analysis i've heard of that before i've never actually used it um but can you maybe read some of those yeah sure so that's like number 13 here it's like so threats of new entrance moderate as barriers to entry include sourcing ice from iceberg established partnerships and brand reputation you know bargaining power of suppliers right like do you have some kind of edge there with the suppliers right bargaining power of the buyers like who's going to buy this uh you know threat of substitutes how easy will this be for someone to choose another party that's doing it uh intensity of competitive rivalry like how what does it say about this threat of substitute products i.e the ice machine in your refrigerator that's already there and you've already paid for it no the five forces so people know um i'm just reading from investopedia here competition in the industry potential of new entrance into the industry so the first two are about competition the power of suppliers the power of customers In other words, how much power do they have over you as the provider of these?

16:15And then threat of substitute products. So a substitute product would be slightly different. It would be something to cool drinks, right? As opposed to ice itself. That'd be a direct competitor, right? Yes, correct. That's super fascinating. So essentially what this is doing is they have a series of prompts they run your idea through, is what I'm guessing, right? Is that what this is? My guess is like sort of the rough structure behind this is, yeah, they take a prompt and what they do behind the scenes is they have a set of, you know, prompt templates that walk your idea through each of these and they have 14 sections here.

16:50And so they take the idea and then they work with an LLM to create a brief description and then each of those 13 sections, which I think is really powerful. like i i i think it's this is great i mean this is like this would be a whole semester at a business school you would work on something like this yeah and now you can basically do an approximation of it who knows if it's actually of the quality of what you would get in a course right to you know do your first mock-up of a business yeah but it would literally whip you through multiple of these so i just did one yeah i said yeah pull it up let's see yours yeah let's see what mine does because this is actually something i'm thinking about doing so i'll make a little bit of an announcement here venture capitalist training school comprehensive analysis and feedback so you know i have angel university where i teach people to be angels and we've donated 200 000 to charity i've taught it 35 times i think and we've basically got maybe i think four or five thousand people have taken the course now and so we've created a lot of angel investors in the world but my idea is now that i'm going to have my uh venture studio my accelerator in san Mateo, I'm trying to find a nice garage or something, put it in a big open space.

18:00I was thinking of starting a competitor to Kauffman Fellows. You know that program? It's$80 ,000 for two years. So I want to create a Kauffman Fellows killer. That would be half the price or maybe one year intense or six months intensive and maybe be 20K or something. Have 10 people come to each one and create a program where they basically get to draft off my deal flow. And And the core of it would be they would sit in on all the investment team meetings and do all the frontline meetings. It's like a launch EIR program. Like an EIR program, but like an associates in training. Yeah. Instead of EIR, AIR, associate in residence or AIT.

18:40So anyway, here's the business idea. The business idea is to establish a school that offers comprehensive training programs to individuals aspiring to be venture capitalists. So it took my, my prompt, by the way, was venture, uh, what was, where's my prompt? Oh yeah. Um, yeah. Venture capital training school. Um, the school aims to provide participants with the necessary knowledge, skills, and practical experience required to excel in a highly competitive field of venture capital. So we'd edit all that. It ad libbed that, which is quite accurate. Um, the venture capital industry has been witnessing significant growth in recent years.

19:12That's true. Fueled by increasing startup activity. True. and continued interest in of investors in high potential early stage companies however there is a shortage of skilled venture capitalists that's true who can effectively identify a value in investment this is very true by establishing a dedicated school for venture capital training this business can tap into the demand for professional education field and potentially bridge the skills gap this is true swot analysis strengths unique business idea with limited competition in the market tailored training programs can address specific gaps in the industry potential to establish strong industry partnerships for internships and job placements and jacob i can pause you for a second here you know some of these things also just a framework is good like if you're trying to do this like yes these the swat may not be fully right but it can get you thinking and get you going right as well yeah i think that's the key point is that um you as somebody who didn't go to business school and just a bit of a swat analysis strengths weaknesses opportunities and threats um i had to go take a look at that because i oh didn't really i know it's been so long i you know i don't go through that um limited market size venture capital training is in each field that's true this is weaknesses demanding and resource intensive curriculum requiring experience instructors um i don't think it has to be resource intensive but okay but maybe um and i don't know well you do need to have somebody like myself who's been doing it for a while you need to continuously adapt programs to incorporate changing industry that's actually very true huh threats highly competitive high competition for top talent from established venture capital firms that's not true yeah i know they're they're gonna i don't think it's a threat to our business okay right like if there's actually high competition for top talent from venture capital firms that's actually a benefit that's true yeah because then these people graduating would be uh rapidly evolving industry dynamics and regulatory changes nope the last one economic downturns affecting investor confidence and startup funding availability that's it nailed it so it must have just said what are the threats to a business that did this yes wow this is incredible and i see that i've never even heard of a pastel analysis yeah yeah you didn't spend enough time in corporate america i did not political economic sociocultural technological environmental and legal when you were what was the name of your consulting firm called um extreme labs extreme labs so when you did extreme labs when you had customers they would pay you massive amounts of money to write this kind of stuff up and include your analysis or they did it themselves they were doing this themselves like we were more of like on the development side right so they would come to you with this stuff Yeah, but as our business expanded, we were doing more product management and product incubation.

22:06Then we would do these type of things. Got it. Yeah. Oh, my Lord. Suitable business strategy. Yeah, this is incredible. What a great - And Jacob, this is the free version. They have an advanced. I didn't get to try the advanced version, which they don't allow for free. You can do 10 of these for free. The advanced version is maybe something you should try for your business idea. And it lets you make the report visibility public or private. I just put it on public so people could go see it. with books to guide you along the way. Venture deals. The lean startup. Angel. How to invest in startups.

22:34Timeless advice. Wow, I got to pick that one up. Who's the author? This book offers a first-hand perspective on how to identify, evaluate, and invest in problems in technology startups making it highly relevant to your business idea. Who's the author? Oh, Jason Gallagher. That's pretty funny. You can download and export to a Google Doc. Wow, what a great service. So shout out to whoever made this. Yeah. Venturous AI. Congratulations. applications and let me see the pricing here let's go on the pricing tab starter free yeah 10 standard reports a month got it pro 20 bucks a month uh 40 standard reports is great um i could see doing this with um and you could you know every startup yeah yeah no i was gonna say you could use it as like you could do this as part of you know the university and all the things you're doing yeah yeah i mean what's interesting about this oh it says you own the commercial report rights that's interesting um what i like about this is i could do this if they had an api every time we meet with a company we put in our database we have a summary of that business so what i have api access right there look at that right oh it says contact us for api access perfect yeah what i've been doing now is um in preparation for the great ai uh overhaul of our industry is we have a programs team call every day where you know the people who run founder university launch accelerator get together for a 30-minute stand-up and then we have two investment team meetings for two hours each twice a week tuesday and thursday because we process 60 new companies well we do 60 new meetings per week intro meetings and so i'm gathering all of those and i am recording the zooms now storing the zooms transcribing because zoom does transcripts automatically putting the transcripts into notion and then i'm summarizing i think we're using the Notion API, or we're using chat GPT-4, I'm not sure which one, to summarize the call transcripts for our internal meetings.

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25:39Eight sleeps cooling technology is a lifesaver in the summer. Take it from me. Go to eightsleep.com slash twist for exclusive summer savings on the pod cover until July 10th. That's today. Today is the last day to get that July 4th deal. So go right now. Eightsleep.com slash twist. Hey, they're now shipping in the USA, Canada, the UK, and select countries in the EU, as well as Australia. Way to go, Eight Sleep. What should I do with that data eventually? Well, it's a good segue, J. Cal. I think, let me show you this. That's why I'm the world's greatest moderator. yeah exactly um let me get my c3po uh moderate your podcast yeah so similar to um you know kind of what we are talking about here what a team launched is a chat app specific to the hacker news hacker news and what they've done is they've taken all uh what's going on in hacker news one Oh, yeah, sure.

26:41Yeah, we can update that a bit. Welcome to Chat HN. So this is chat HN dot. Vercel dot app. So Vercel. Explain Vercel. Yeah, so Vercel is actually crushing the game. We should spend a little bit of time giving them a shout out. They are a modern hosting, like an app hosting service. And they've been doing this for a while. But in the AI game, they're the go to. So if you want to host any type of AI app, most of the frameworks that people are using are designed for like sort of one click deployment into Vercel. And they do a great job. They have very flexible plans. And so they're like sort of the modern up and comer in the cloud war.

27:24I mean, you know, they're more than up and comer now, but they've been really crushing it. And so and they have a bunch of their own additional frameworks. like in this case, they have an AI SDK to help you with, you know, sort of the chat and all those other things that they're doing a really good job of as well. So big shout out to the Vercel team here. um and so uh you get this prompt give me the top five stories on hacker news in markdown table format seems like doing tables and formats is like a great use for ai you click that uh and it gives you the title link score and comment score is something they use on hacker news to kind of give it um you know how uh how popular something is and it gives you the first uh it gives you the top five and then it says hey send me a message um so i guess we could ask it uh what's the give us the top give us the five funniest comments on the first story let's see if that does anything uh so not enough amusing comments to provide the complete five list yeah oh interesting uh how about give us the most um how about this oh what is the sentiment on threads.

28:38Interesting. So this is a proprietary data set. And it just gives you a new interface for how to process all that information. And this is the work of an analyst. So when I see this work, I don't know what you see, I see a$40 an hour person. And if you ever want to, when I talk about hourly wages, I always extrapolate as a business owner and somebody who invests in businesses as the hour of what an hour of work costs and then you just times that by 2 ,000 right because it's 50 hours a week 50 weeks a year 40 hours a week 2 ,000 you know listen if you work 50 hours a week it's 2 ,500 you've worked 60 hours a week it's 3 ,000 but 2 ,000 is a pretty good multiplier 40 bucks an hour 2 ,000 hours 80 ,000 dollars a year that's a really good paying job especially from home and that's what an analyst would get a researcher would get 20 an hour and a data processing person like an offshore kind of person would get five to ten in manila so five times two thousand is ten thousand dollars twenty times two thousand hours is forty and forty times two thousand is eighty just so you get an idea eighty thousand dollars is a u.s you know smart person who reads books you know um english as a native language researcher is somebody just out of school or maybe went to a two-year and then offshore they don't understand the context in america probably and it's english as a second language in many cases so whose job do you think this replaces most and because we keep seeing this and i say the researcher analyst and the data formatting person keeps coming up yeah um so let me let me let me answer your question a little bit indirectly which is so first i think given large proprietary data set you can see the value of putting a chat interface on top of it, right?

30:28And so I think for you guys, what you need to do as a next step is you have all this proprietary data now, which some of it's even being created by AI or enhanced by AI. We need to stick a chat interface in front of it. So that should be sort of one of our projects so that you can go through that and ask a general question and say, hey, have there been any other companies that have come through that have pitched us on selling ice from icebergs? And then it can go through that data and then you can get that answer quickly and you can see what was the call about and things like you can kind of dive into it.

30:57So I think that's the first thing we're trying to show there is that the world of deploying your own chat app on your own data is really simplistic now. And I think it's something that we should explore for launch. And so we should kind of kick that off. Yeah. I think the value is, in one sense, in a replacement, but I think it's the enhancement. I think if you put this in front of everyone and ask yourself how many times, J.K. How much are you relying on your memory to go back? Oh, there was a company that did that. Or where did these guys end up? Got it. And now to basically have that enhancement is more valuable rather than a replacement of a person or an analyst, but to basically kind of give yourself that superpower.

31:43I think that's where it's a much better framework for value. Yeah, so let me explain this to folks because I think you just hit a key insight. When you're running a business, an at-scale business like ours, 15 ,000 people emailing us and filling out our form and sending us a pitch for a company, over 1 ,000 people coming to founding university a year. We have so much data, and we have 19 people in our little investment team, our little company. Now imagine with those 19 people, we then do an analysis. We do that analysis, and if we do that analysis of what we're doing, I would normally go to somebody on my team and say, hey we met with that company they were doing a marketplace of diamonds but we had heard two other pitches about diamonds the one who was doing the fake diamonds and another one who was doing you know setting your diamonds it was using ar i can't remember any of them now normally you just search for diamonds and then you get all this cruft diamond in the rough somebody would be saying like oh this person's a diamond here you could say tell me all the startups that are working in the diamond industry that we've met in this over the last five years and pull clips from their video because we have the video now and make me a little dossier of that yes or show me all the marketplace companies we met myth last year yes then go on the web and tell me uh if they how many employees they have on linkedin and this is where linkedin has to start in paid api i don't know this is you know twitter and reddit having their apis i think the linkedin api for linkedin team please let us just give you money because everybody's scraping your data anyway and we can buy your data from like israeli or you know companies in the philippines have scraped all of linkedin already they have it all and you can't stop the scrapers and it's legal in other countries to scrape this stuff so your terms of service means nothing and those are the jurisdictions so now you're left with going with gray hat people for data sources and i'd like to put this um on you for next week if you could find some gray database sources of like instagram facebook profiles whatever i'm curious about the gray market underground so anybody has information send it to producers at this week and startups.com or uh sonny what's your twitter sundee at sundee that's what i think is going to be super interesting is um some of this gray market data but imagine if i could ping the actual api and it would come back and tell me hey this company has 60 employees when you met with them they had 20 and i would pay for that i would pay some amount for database calls it could be an incredible revenue stream for linkedin and i get pinged by people who are like would you like a billion linkedin reference you know database records of ctos of founders like this stuff's all been scraped already so don't be precious but yeah all of that back and forth in meetings and research somebody oh i'll get back to you in an hour yeah it's gonna be like i didn't even need to waste somebody's time so jake i know you've been on this for a bit and one new segment i wanted to start and so we're not we're not fully up and running with this yet but we have the framework and i think we're going to start building this out we're going to start building this out over the next couple of episodes.

34:48And so you've been going on about auto GPTs. And so what I have here is a basic framework of an auto GPT that I've created. Define auto GPT for the audience who's catching up. So yeah, an auto GPT is an agent that uses LLMs to work through a problem through what's called like a chain of thought. So you'll give it like a high level problem statement And then it will come up with a set of tasks to solve that on its own. And then it will use its access to different sub agents. It has to solve that task. And so this is, you know, in a, from a demo sense and Jake, I'm going to add you actually to this, to this replet.

35:32So you can basically participate in the, in, you know, kind of in the live, you know, kind of the live experience that we're going to have. And, and so like, I'm going to just start with this. This isn't with LinkedIn and you'll just see the power of what we can do here. So you can say, can you come up with a schedule of summer league? Let's, let's say, let's call it NBA summer league games for me to watch. And so what this is going to do is, so I just gave it something generic and it's going to say here really quickly. Well, I don't, I need to start by searching for summer league games and then it's going to figure out, okay, I found a place to get it.

36:15So I need to analyze those results. And then it, and it found that it can get it from this MBA page. Right. And then it'll start working to put it into. Now this is just, it's a basic framework. We're not like, it's not fully running here again. One more time. What is this called? So, so this is basically something we've built from scratch, but it's using two main it's, it's, we're running it in replets. We want to give them a shout out. It's using language. Yep. and we're using lang chain which is sort of like a um language model by facebook no no no no it's not like we're using open ai that's um that's the other one yeah yeah lang chain is a uh scaffolding framework for working with llms yes right and we're using another uh another server called serp api which is basically a search engine results api and so it basically interacts with google And so that's what the two keys you see here.

37:11Does Google allow that? Or it's just, how does it actually do that? It has your machine do the search and then rips the HTML page apart? No, no, no. There are whole companies that exist for this now, right? And so this is a company called Serp API. Wow. I've never heard of this. I'm learning. Yeah. And so they exist. Obviously, you have paid use cases with them. and they basically, you give it a search and they'll return you back like the search engine results in a consumable format, which is like sort of on the right hand side of what I'm describing here. Like as JSON. Search S-E-R-P-A-P-I.com, which is search engine result page.

37:49Yes. Wow. You're very familiar with this, J-CAL. Yeah, sure, of course. Yeah. Yeah. And there's a few of these, but this is the one that I've decided to use in this particular demo here. And then, and that's how this auto GPT, which, you know, I gave it, Like, can you come up with lists of summer league games? Obviously this is not, it doesn't have the 2021 limitation. It uses a SERP API to figure out, well, that result is going to come from this NBA.com page, summer league schedule. And then it will start to kind of parse through that, that document to come up with your list. And so this is sort of the beginnings of our auto GPT and we're going to start working through this, but so I wanted to kick this off today for us.

38:29Correct. Yeah. so how do you propose what's the next step in this well the next step is like you you've had a bunch of different use cases right you rattled one off today but let's let's just build towards now that we have the basic scaffolding and and you know we're going to get you back to writing code again jcal we'll basically yeah so and you can see this thing is not very long it's only like 60 lines of code that's the beauty here and you know because all of that is being abstracted by api calls so exactly exactly these days writing code is really like hitting 20 different apis and blending whatever you get back right i mean it's really fascinating how it's really fast code has changed yeah and honestly like in this particular case like the the the code to use that serp service is right here right this serp api wrapper and then this is my api key that i have with them in the example you were talking about with linkedin if linkedin would want to work with us they would offer a key that we would pay for we would import their agent and then we have another agent here that wasn't searched but that was like linkedin that we would go and get that information from but there's plenty of other services out there linkedin isn't there yet but that's how we're going to get back into it all right so here's what i would like to do i want to create one of these okay i'm going to we're going to run this up the flagpole that finds new startups that aren't in our database already okay um and then finds the founders puts them into a category does some sort of analysis of their business right like finds out what the startup does sends it to that other api from the people who do uh venture what's it called venture insurance so we find a startup somewhere that didn't exist before so an announcement of a new startup that could happen on hacker news reddit uh twitter linkedin people could announce a new startup so we find announcing my new startup date being today so it was published in the last 10 days let's say so in the last 10 days somebody publishes i'm announcing my new startup and we could do that with the search engine result page by passing a query to it so we could say google uh you can do this in a chat window or i could do one we would say to google new startup announcement and then you would go to advanced search advanced search yeah no no where is it uh you go to tools and then i would pick uh not anytime but i would say in the past week it would come up with a search result which is crunch base eu startups alley watch yeah um and we would try to find on those sites new startups and find the url of the startup once we have the url of the startup then we could find their linkedin profile page we can find their twitter profile and then try to get some information on that startup and then propose them to a researcher analyst inside our team and then click book meeting that would be amazing that would because by the way we do that we call it qualified hunting uh we look for we try to have our researchers and analysts hunt for companies that never apply to our programs and so that's hunting.

41:43And you know, Product Hunt, speaking of hunting, Product Hunt has like every day new products coming in there. So we just look at the URLs of every new product on Product Hunt, which is why I think AngelList bought it. It's because they wanted to have first dibs on all the new startups and technology. So very cool. All right, listen, you're in the technology industry, you know what Carta is. Carta is the leading venture capital and equity management platform. What does that mean? That means they manage your cap table, they manage your venture fund, they are the experts at that. And they do such an amazing job.

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43:21But use the code TWIST to get 10 % off your first SPV. That's carta.com and use the code TWIST. Yeah, so that's our, I think that's our little project so we'll take that and we'll kind of expand it out and and we'll kind of work through it we'll show the results every every uh every episode you know i'm very interested in facebook's approach to ai uh there was this they have their own language model that was leaked quote unquote llama llama and uh it's very popular on hugging face and other places so llama they claim was accidentally by facebook itself um so that it would kind of undercut google bard and proprietary stuff like closed ai um chat gpt4 who knows if that's true but they keep putting out public stuff so they're still on the public releasing of information open source tip correct or are they now circling the wagons and being closed they've been very open in public um you know if there's things that they haven't released yet they've just said they're going to release them they've there's one that they did recently we can pull it up um as well but i think you know this is probably a better segue into threads and you know i actually was having this thought over the weekend which is you know is threads perhaps a way to get the data set for a hive mind because if you look at any of their existing products they've all evolved right um you know instagram is yeah oh yeah there we go and um you know instagram is not going to give you sort of hive mind because it's going to give you video and pictures right yeah um whatsapp if you mine that data it's going to give you proprietary chats and facebook has just evolved into something i don't really understand anymore maybe you can you can chime in there if you want birth announcements and bar mitzvahs and retirement parties you know kid photos it's basically for moms and dads and grandma i use it like a i use it like our yahoo groups there's some great groups i'm in there um but yes the group's product is um very subtly i think put a lot of new life into that because the general feed is kind of like boring and repetitive oh it's your birthday happy birthday literally it's a birthday announcement website um or a birth announcement website even um so why let me ask you one question here and we'll get back to threads face i have my own theories but i'm curious of yours open ai went closed google published all this stuff including tensor and kind of regrets it i think now they're kind of transformers transformers and everything so they're closed um or somewhat closed and they're not doing they're not announcing the papers anymore is what i heard the scientists are not announcing their work as often no that's I would say that's not fully true.

46:20You know, they just launched a paper that we're leveraging like around SQL Palm just a few weeks ago. So I think they're continuing to do that. You know, their approach from a cloud perspective, Google Cloud perspective has been, hey, we're going to have our own proprietary models. And we'll also host open models and models from other proprietary companies as well. So if you are a Google Cloud user, you can use their Palm models, which are their proprietary ones. they also support all the open models inside of um their um uh you know inside of their frameworks right got it and uh also they have models from companies like anthropic right and so i feel like they have a really kind of a kind of a great why do some people choose open and some people choose closed um it's sort of the you know the the natural arc of the tech industry right like when operating systems first started, they were all closed, right?