AI demos: Bard's YouTube summarizer, Stability's image editing tools, and more with Sunny Madra | E1853

Episode Summary

Title: AI demos Bard's YouTube summarizer, Stability's image editing tools, and more Guest: Sunny Madra Key points: - Bard can now summarize YouTube videos and search YouTube, though it sometimes hallucinates information. It provided a decent summary of a recent TWiST episode and found popular comments, though the comments turned out to be fake. - New apps can be created visually very quickly using services like TL Draw and tools that generate iOS Swift code. A developer created a working calculator iPhone app just by sketching the interface. - Stability AI launched a suite of image editing tools like background removal and upscaling that can do 70-90% of what a human graphic designer does. - An AI model animated the famous Iwo Jima flag raising photo. Another model created an entire channel of AI-generated video content. - There was discussion around building apps on demand for specific use cases, the future of mobile app development with AI, and when AI could produce an animated Pixar quality short film. The episode covered major industries like research, gaming, graphic design, video production, etc. and how quickly AI is automating parts of those fields. There's still progress to be made but rapid advancement happening week to week.

Episode Show Notes

This Week in Startups is brought to you by…

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Today’s show:

Sunny Madra joins Jason to demo Bard’s YouTube summarizer (2:27), an iPhone app that draws apps (41:14), Stability’s Clipdrop (59:20), and much more!

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Time stamps:

(0:00) Sunny Madra joins Jason

(2:27) Sunny demos Bard’s YouTube summarizer

(7:00) Jason's revamping his Substack! First topic; Jason's new ADD management framework: Automate, Deprecate, Delegate

(13:58) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://Squarespace.com/twist

(14:54) Bard’s YouTube summarizer demo continued

(27:09) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist

(29:09) Sunny demos tlDraw and discusses the evolution of low-code environments

(40:08) Northwest Registered Agent - Get a 60% discount on your next LLC at http://northwestregisteredagent.com/twist

(41:14) Sunny showcases UIDraw, an app to draw and build a web app on your phone with AI

(46:57) Sunny demos Trace, a tool to design a UI via AI

(53:38) Sunny demos Runway TV

(59:20) Sunny demos Stability’s image editing tools, including Clipdrop

(1:05:18) Jason and Sunny’s AI predictions and bet

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Links:

https://www.wired.com/story/inside-story-of-pong-excerpt/https://en.wikipedia.org/wiki/Vin_Scelsastabilityhttps://twitter.com/jsngr/status/1728848624048853442?s=42&t=79J_alIF_jrz1wn1s5pboQclipdrop

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Check out:

https://www.trace.zip/https://www.runway.tv/https://makereal.tldraw.com/

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Follow Sunny: https://twitter.com/sundeep

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Great 2023 interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland

Check out Jason’s suite of newsletters: https://substack.com/@calacanis

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Follow Jason:

Twitter: https://twitter.com/jason

Instagram: https://www.instagram.com/jason

LinkedIn: https://www.linkedin.com/in/jasoncalacanis

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Follow TWiST:

Substack: https://twistartups.substack.com

Twitter: https://twitter.com/TWiStartups

YouTube: https://www.youtube.com/thisweekin

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Subscribe to the Founder University Podcast: https://www.founder.university/podcast

Episode Transcript

SPEAKER_02: Okay, so here we go. So here's pong. Okay. And you can see here. Oh my god. Yeah, yeah, exactly. This is deranged. It SPEAKER_04: literally wrote the code and made the game pong from a drawing. Yeah. And then you really God this is insane. Do you know how long it took Nolan Bushnell in 1973 to build the first pong? I just looked it up. There's a wire. It took three months for them to build pong. You did it in three minutes. SPEAKER_01: Yeah, well, yeah, it's pretty, it's pretty wild. This Week in SPEAKER_00: Startups is brought to you by Squarespace. Turn your idea into a new website. Go to Squarespace.com slash twist for a free trial. When you're ready to launch use offer code twist to save 10% off your first purchase of a website or domain. Vanta compliance and security shouldn't be a deal breaker for startups to win new business. Vanta makes it easy for companies to get a sock to report fast. Twist listeners can get $1,000 off for a limited time at vanta.com slash twist and Northwest registered agent. When starting your business, it's important to use a service that will actually help you. Northwest registered agent is that service. They'll form your company fast, give you the documents you need to open a business bank account, and even provide you with mail scanning and a business address to keep your personal privacy intact. Visit Northwest registered agent.com slash twist to get a 60% discount on your next LLC. All right, everybody, welcome SPEAKER_04: back to this week in startups. It's Madra Mondays. Yes, every Monday, my good friend Sandeep Madra comes on the program. He's from definitive intelligence. And he's one of my besties and we like to do demos of AI projects. So it's just AI Mondays here on this week in startups every Monday, make sure you see the show. Because hey, we got our finger on the pulse of what's happening. I see a lot of stuff coming in to my inbox DMS people now know that if you did something interesting in AI in the past week that you just cc at Sandeep and at Jason first name club on Twitter X. And you let us know what you're building or slide into either of our DMS or both and send us a link and then maybe we'll talk about it on the show. Let's get right to it. All right. I noticed that barred remember we talked about, hey, they got to catch up and they got to hold people's feet to the fire. Yeah. And I tweeted last week that barred and YouTube are now connected in some way. So let's look at this. This is really interesting. I've said this from the beginning. Yeah, I think YouTube, Reddit, Quora, and Twitter slash x are some of the greatest. Yeah, you know, pools of data, right? They are. And so what we're gonna do here in SPEAKER_01: SPEAKER_02: barred now, and I have some pre done in case we don't want to wait, but like, we are going to ask barred, can you provide a summary of the last this week in startups episode? Okay, this is SPEAKER_04: a very specific search being done at bard.google.com. Yes. And we'll see. Oh, look, and it shows a spinning wheel that it went on YouTube. And here we go. Wow. Yeah. Now and then which SPEAKER_02: which is great. It gave me a quick summary, but I can say, what were the key points made by Jason? Oh, well, that's even SPEAKER_04: more detailed. So just to summarize what it showed us in the last screen, it gave us let's let's look at the first response if we can. Okay, from this week, we kind of we kind of glossed over it. I want to give them credit. Yeah. So what we see here as it says the most recent episode of this week in startups is titled open AI. Chaos continues. It was published on November 21 2023. I don't know if that's actually the latest episode is it? Here is a summary of the episode. Five bullet points Sam was fired from opening AI the opening AI board is considering spinning out a new company to focus on generative AI, yada yada yada. I hope the summary is helpful. And here's a link 1852. Okay. 18. And that's the one when David SPEAKER_02: joined us. Okay, great. Yes. That was the latest was November SPEAKER_04: 21. Yeah. So it's right. Look at that. Perfect. Great job. Okay. SPEAKER_02: And then we did have why was Jason's position? Yeah, yeah. And it picked up on something you said, which was very good. I thought and I remember this from the episode. He said recent term was unprecedented. And this one was I remember this very clearly. He said the opening I board made several mistakes, including not giving Sam all the clear incentives and not having a clear succession plan in place. Sure, I did say that. I SPEAKER_04: don't know if I mentioned succession, but I definitely mentioned the incentives. So I wonder if it's hallucinating about this session, or maybe sacks brought that in. He said the fallout from an AI situation can be significant for startups that rely on open as models. I might have said that Calcanas also said that he believes open is still a valuable company and that is hopeful it can recover from the crisis. Overall, Cal Canis, his key points without open AI situation is unprecedented that open AI board makes several mistakes, and that the fall off my ass is okay, I think it's pretty good actually. And this would save you a lot of time. One of the things we do here, like as an example, I'm having Kevin O'Connor, the founder of double click on the program. What I asked my team to do was to give me some bullet points from the last time he was on the show. Now I'm going to listen to the episode, but I like to have the bullet points there for me, usually a producer, Cindy would listen to the episode, write the bullet points, I listen to it on two x speed. So this would take him an hour, right? Maybe two, you know, if they're doing other things. So you know, that's gonna cost me whatever if you know, if you, you know, call it $100 in producer time or whatever it is, you know, average producer is 50k all in fully baked with their vacation and everything, you know, for a producer, you know, general or a researcher generally in the world might cost if you're gonna hire a freelance researcher, I think to do this work, what would it be 40 bucks an hour? I think 40 bucks an hour you can hire research. SPEAKER_02: You need someone who can't just get the cheapest person right? No, no, you can't do somebody offshore, because they may not SPEAKER_04: understand the context of all this. So you know, US based or North American based person who understands tech would be 40 bucks an hour to do this. And this does it basically for free. So if you're a researcher, and that's your gig in the world, there's two things that are possible here, you could just go do this and claim, you could go use bard claim you did the work and charge 40 bucks for five minutes of work, or you can then take this work and then do more meaningful work, which is take this and then come up with follow up questions for the person, right. And so this is my general theme. I'm working on a blog post. I am so inspired by our discussions here, Cindy, that I'm going to break some news here. I have a new blog post coming. I'm going back. I have a cal account sub stack calm going back to blogging and writing. Okay, okay, just for clarity of thought. And then AI enhanced. It is not. But they're SPEAKER_04: going to be short and brief. And I may you know, I like to have my voice but I do use grammarly, which is an AI machine learning to, you know, make things clearer and I set it to make things very clear. So you know, shout out to our friends at grammarly. I love that product. Great. I have a new framework. I call it the new management framework. You know, my old one of like the s o d and the EOD start of day end of day for managing real people. I just ask everybody on the team for five minutes. Most people do it. If they don't do it, I generally fire them. For some period of time. I don't keep asking them. I just cut them loose. But I asked everybody to do a start of week end of week that should take 15 minutes at the start of the week 15 minutes at the end of the week and then the s o d EOD should take start of day end of day should take but five minutes, just three or four bullet points of what you're going to do today and at the end of the day, some people go crazy. They want to get credit for all their work. They're ambitious. They want to show the team that they're really crushing it. And I totally respect that if it was a young J Cal, I would do that. Yeah, young Cindy would do that too. Right? You want credit for work done. What this does is it creates the ability for you as a young person in the company, or a new person to see what everybody's doing. And then say, Wait a second, that person's more senior than me. I need to be doing some of their stuff. Right? Yeah. Or I know I know. And then if senior people don't do it, I had two people who were like managing directors who refuse to do it, and they're no longer with me. I'm just not going to push people to do it. I just want people to do it because it holds you accountable. And then I realized from our discussions here, my ADD framework, people tell me I have a DDA ADHD. I don't know, maybe that we didn't diagnose it when I was a kid. You get diagnosed with it back then. No, no, that's well beyond us. Yeah. That was like a 90s SPEAKER_01: SPEAKER_02: phenomenon, right? I'm an millennial. Yeah. So anyway, yeah. automate, delegate, SPEAKER_04: deprecate. I'm now telling people, and I'm going to put this out on my sub stack. I love it. And then I'm gonna post a whole thing. The modern era, the modern era. You look at your end of weeks, I took somebody who's going, I'm going to be on leave. I just looked at their EO w for the last four weeks. And I said, of the items that they got done each week, what could be automated with GPTs with AI? What could be delegated to a remote worker. So I am getting obsessed with remote workers in Manila, Portugal, South America. Yeah, it's $1,000 a month, basically, for a remote college educated magic English a bunch of services. Magic does it. Athena does it. There's a bunch of very cool services that I've been testing. And then you can also just go on five or other websites and find the up work. Really great websites, you find the folks, they cost literally five, $6 an hour, three or $4 an hour is a great salary if you charge 567 dollars an hour. So I'm pairing my people with admins from offshore. So every three people SPEAKER_04: will have one admin, I think. So that's about $12,000 to $36,000 depending on which service you use. Okay, well, up to 36. Now, if you put three people salary together all in, it'd be like 300,000. If you put a $25,000, it was rounded up to 30, like a really high end offshore person that's 10% more. But how much could they delegate to that person? I wonder. So that's the experiment I'm running. And then deprecate is, you know, when you ask somebody to do something like two years ago, and they're still doing it, but you didn't know they were doing it. And you're like, Oh, my God, stop doing that. It's a waste of time. We don't need that anymore. Yeah. And so I'm just asking everybody to have a DD. Yeah. automate, I mean, delegate, SPEAKER_04: delegate. And if you do that, I think everybody in the company can become 50% more efficient, which is to say they can automate maybe 10 20% of what they do, they can delegate maybe 20 30% what they do, and they can deprecate 10 or 20% where they do put it all together, half the work comes off your plate. What SPEAKER_01: SPEAKER_04: does that do? It means you don't have to hire another person or that person can do higher level things. So I just want to encourage people as you see this incredible YouTube experiment. If you were a producer of a podcast, or you did summaries of podcasts or other, you know, new stuff, start with Bard now that it works. Check the facts, pull up the transcript, summarize the transcript, take the entire transcript, put the transcript in Claude, put the transcript in Bard, put it into chat, GPT and look at all three simultaneously. And then say to yourself, what could you do beyond this? So anyway, this is just my, you know, new framework, based on what we are figuring out here every Monday, I think it's a framework for the AI era, we should, that's what SPEAKER_02: it's really, because, you know, the automate, delegate and deprecate is very much aligned to the AI era. Yes, because before automating would require someone to, you know, maybe write code and getting resources across the world was harder. So all these things are being enhanced by AI. And I can guarantee Jason that most people on those offshore services are going to be better at using AI than they already are. Yeah, SPEAKER_04: they already are. I've been talking to the people who are running some of these services. Okay, they are using AI already. They are using script, they've been using scripting forever. So as an example, we have an SDR that we're going to test a sales development rep, the sales development rep, one of the things they did was they built scripts, what are these scripts do? They go on to professional networking sites like LinkedIn, crunch base, pitch book, whatever it is. And there are tons of these different sites out there. And then they look for targets for the salespeople. And they've just automated qualifying them, and then even queuing up an email to them or queuing up, finding their email, and then queuing up an email to them or an email, etc. So imagine you're a sales executive, you're selling SAS software, this SDR could go into your LinkedIn, your crunch base, put into your drafts folder, 20 emails for you to look at with those folks, follow them automatically on LinkedIn for you maybe like a couple of posts, this is called social selling. Well, that's all going to start to be done by, I think AI in some ways or offshore, and that combination is going to be wicked. And then if you watch the person working, so we've had people on the pod who are building software to watch the desktop, right, and Microsoft's watching the desktop with their new co pilot, right? If they're watching the desktop, and they see an SDR, or somebody who's, let's say, booking meetings, and they watch them do it enough times, the AI just watching your desktop and watching what's happening in your browser or in a headless browser, it's going to figure out what to do and then just go do it for you. If your landing page looks terrible, I'm out. We SPEAKER_01: SPEAKER_04: all know that you see an ugly website, you skedaddle, you leave, you're done. So you need to stop settling for okay or good and start using Squarespace so you can be excellent and extraordinary. It's an out of the box business solution to build beautiful websites, engage your audience and sell anything you want. You know, Squarespace is amazing features, gorgeous templates that are always optimized for mobile drag and drop web design with their fluid engine, advanced analytics, marketing analysis, sales data and more. And with Squarespace, you can create an online store or start a blog at the click of a button, create a subscription business for members only content, and so much more. And you can do this all simultaneously. It's the simplest, most effective and best looking way to start a business online. So here's your call to action Squarespace comm slash twist for a free trial. And when you're ready to launch, go to Squarespace comm slash twist for 10% off your first purchase of a website or domain. SPEAKER_02: One of the open AI engineers yesterday wrote like a little Gmail thing using open AI to go through all the Black Friday emails because obviously, you know, it's been crazy the last day or two, right? Or mid three, four days. I did shopping online. I'll be honest. Yeah, yeah. But I'm just gonna do any Did you any Black Friday deals? No, not really. I mean, it's like, I just had one I had the brand I really like this SPEAKER_04: brand grown our H O n e. Yeah, I like grown and I like leisure. Yeah, but it's not leisure, but they got into sweaters and some polos and I stuff so like cut select grown. Okay, yeah, I like Mack weld and some of them and I just saw the room go by and I had bought some stuff I really liked like that this nice collared shirt that I like. Yeah, I just bought two more that were 30 or 40% store in Hudson yards, by the way, if SPEAKER_02: you're one of the do is it interesting how all those direct SPEAKER_04: to consumer brands were supposed to get rid of stores and then they were like, you know, what'd be cool if people could go into a store and try this? I guess they just look at it as SPEAKER_04: marketing, right? I think if they break even on the store, but they got people to know the brand and they know they're gonna go order online. It's kind of brilliant. Yeah, yeah, well, next time, check it out. I give this I'm going to tell you right now. I gotta show you one more thing. We kind of got a little SPEAKER_02: bit. Can you do the comments? Can you ask it to? Does it have SPEAKER_04: insight into comments? SPEAKER_02: Let's do that. But I want to show what I saw I had made a prediction on the Monday pod that everything would get back to normal. And it got this is a heavy hallucination. First of all, it thinks I'm the CEO of the Madrona venture group, which I am not. So is it saying you're part of his Madrone venture group like SPEAKER_04: an Indian group? Is this is like, Madrona the these are the Seattle guys that like, SPEAKER_04: I wonder if there's, I was just wondering if it was like being a little racist in it. Oh, well, you're Indian, you must be part of the Madrona venture group. Yeah, who knows? Who knows? And SPEAKER_02: then my prediction was that everything will return back to normal in that episode. And so it didn't get that right. So going back to, you know, a previous conversation, okay, I think it's cool that it's it's making some things available, but then it is, it is getting it wrong. It's got the transcript. SPEAKER_04: I know. Well, has the actual transmission is wrong. Yeah, GPT would not have gotten this wrong. I don't think. Okay. Okay. SPEAKER_02: What are okay. What are the most popular most comments? Yeah. On SPEAKER_04: that video on this episode? Okay, so great. Yeah. Let's see SPEAKER_03: if it gets this. Yeah, I spelled that wrong, too. But it's a SPEAKER_03: matter of should know. Yeah, it should. So it's searching SPEAKER_04: YouTube, it's giving like a spinning wheel that it's searching YouTube. See, this is the thing if the structured data can be organized. Here are some of the most popular comments. I can't believe the board fire. Sam, he is a visionary. I'm hopeful that the EMT share will be able to bring some stability. And we share, I guess the whole situation is a mess. I wonder if these are actually really the comments. Yeah, the drama SPEAKER_03: doesn't. Okay, well, I at least it thinks it's getting the SPEAKER_04: comments. So that's pretty good. Yeah, I'll have the producers go check if those comments were there. That's good. How many likes did the episode get? Or how many views is episode? Yeah, I'm gonna be this is episode have. I think the SACHS is on some is pretty popular. Let's see. 80,000 views. Okay. Yeah. And I think I had it here. Yeah, it was 80k here. Okay, great. So SPEAKER_04: so that's pretty interesting. Can you ask it another question here? I want to ask bard with its integration with YouTube. Somebody can clip this and send it to the team over there. Ask it. What are the top five most popular videos on YouTube this month? Now this this is like a meta question, right? It needs SPEAKER_04: to understand that YouTube is a website with videos and that there's a popular list somewhere and let's see if it can actually SPEAKER_03: follow Okay. Mr. Beast being the one that's probably Yeah, Mark SPEAKER_02: Robert does gets a lot of views. Yeah, the good range range from 2.2 to 23 million. SPEAKER_04: Okay, I think this could be a game changer, folks, we could have a game changer. How about we do this? Who is the most popular chef on YouTube? Let's see. This is like something that you actually might get value from is actually trying to figure out. Instead of typing chefs. Okay, yeah, it's giving SPEAKER_02: 6 million subs. I mean, this one has 21 million subs, but yeah, yeah, it's really okay. And it's giving a little picture. Jamie SPEAKER_04: Oliver, yeah, has 5.8 million subs. So it's not ranking them by subs, but it's giving you a pretty good overview here. Let's ask, what's the most popular French omelet recipe video on YouTube? This is interesting. See, like this, if she just maybe they should just replace the YouTube search button. Like YouTube search doesn't do this. The most popular friends video YouTube is how to make a by jack pippin. That is actually the one I've I've watched. Wow, that is correct. It is a great video. You ever have a French omelet? You know the difference between a country omelet and French? SPEAKER_02: I know the French is like this slow stirring, right? It's like the chef's isn't it like it is the test for chefs. If you want to test a chef you have make a French omelet. It's very simple. SPEAKER_04: You put the omelet in the pan with butter, but you don't brown it on the outside. It is like a nice gloss color. You can put chives inside of it if you like. That's what you see here with the green one. And then you have to keep taking it off the heat so it doesn't burn and then you roll it into a little cylinder. And it looks like a manna goth or like a cannoli or something. It's rolled. When you cut it open. It's moist on the inside firm on the outside but not burned. A brown butter country omelet is when you mix it and it's almost like scrambled and it's hard that you get in a typical diner. Yeah. And it's really brown on the outside. Tell me about the buffet. Yeah. So the reason I know this is because I love a French omelet and I we have a housekeeper and I taught the housekeeper how to make French omelet just by sharing that video and just curious if they actually could go dig that deep. I'm gonna go ahead and give this an A. I don't know what it was last time. But this is like I gave it like five or six things that I wanted. It gave me back a semblance of what I want. And this is 10 times better than YouTube search. So for me, it's SPEAKER_04: either like B plus A minus or A. But compared to previous versions, I don't know what we gave it previous versions or we're giving letter grades on previous episodes. This is really showing what YouTube is going to be able to this is the first time I feel like maybe there's a J trade coming in for for YouTube shares, well, SPEAKER_02: and good experience. Like I'm at a minus only because it hallucinated pretty heavy in this one or summarizations. But I think it it it answered everything it pulled up videos we gave you tested it in quite a few different ways. And it did a great job. And I think, you know, for me, what's interesting is, there's all these tools that we've been using to summarize videos. And now you can just do it in Bart, you don't have to pay for another tool, you can do it right here. And I think as long as they can start to prove the accuracy, I like the comment search, too. That's a good one. Because sometimes I can help you figure out like, maybe what you should listen for, look for it. And the only thing I would say, if I could ask for a feature, if they're doing this now, maybe you can even create a summary for you. Yes. If it's like one of these long Lex Friedman ones or, you know, I mean, I think it will do that if and it will start to do that SPEAKER_04: automatically, or automatically does already like, I think timestamps pretty easy. Let's ask you one more question. I want to ask you a question that would be deep inside a video. And this is going to be a little bit of a deep hole here. But everybody knows I love the band dire straits have any of the members of dire straits talked about doing a reunion tour in a YouTube video? Please jump to that timestamp. Or please give SPEAKER_04: me that timestamp. SPEAKER_02: If so, please give me a link to that. SPEAKER_01: About that. That's what you want to do. Yeah, sure. You want the SPEAKER_04: link to it? I mean, I would like to go to Okay, yes. Mark noffler has talked about doing a reunion tour in a YouTube video that I came in Rolling Stone, he said he would be open to the idea of reunion of the band. But that would be a lot of work put together. He also said he would only want to do it if the original members of the band were on board. possibly returning to other interviews. I should interview with mojo. He said he would never say never to mentor but he didn't think it was very likely to happen. I think this is true. I don't think this is true because Mark noffler has just said he would only do it for charity. The Guardian novel said he was more open to the idea of doing an intro that had been passed and taken to others members about it. So see, I don't think this is actually true. He said it's just like that era is over. For my dire straits. Let me see that. But it's probably too many former dire straits. We'd love to read them. But Mark noffler is busy. That's the truth dire strains leaves our SPEAKER_03: shirts for the record by Mark noffler die shirts mark number is Spanish city. These are all great videos I've seen of Mark SPEAKER_04: talking about it. But the truth is, he has said they're not going to do a reunion tour. So this is pure hallucination. And again, wrong information. This gives you the idea that it was going to happen and it is not so it's definitely hallucinating. It's giving you general information about other bands probably talking about a reunion. Yeah. Well, he was very specific, right? He has talked about it. SPEAKER_02: And he said, open to doing it, but it'd be a lot of work. So yeah, so that's true. And by the way, producer john was SPEAKER_04: looking in the for the comments that it said it was going to have and those were hallucinations. Good fun those comments there. Really? So it's making that up. So I'm going to a B plus right now. I'm dropping my score. Real time from an A to a to a B plus. I like the fact that it knows what it's doing. But the hallucinations are far too wrong here to make this value. Actually, I'm going to a B. Give it a B. Yeah, well, since the comments were fake, and then the dire SPEAKER_02: straits thing, I think definitely goes down to a B because, you know, that can give you I mean, imagine you're supposed to watch something, you know, for like, something important and you go get one of these summaries that it's just told you a bunch of things that weren't true. So that's that's pretty unreliable. Got to be careful. Yeah, careful. SPEAKER_04: Careful out there. Do not trust any language models right now trust but verify is the rule they hallucinate. They're still hallucinating. We're just too trusting of technology. I think isn't that what this says the fact that we get so excited and then when we check the facts, we get so disappointed is that we actually believe in this technology a little too much. SPEAKER_02: Well, I think it stems from the fact that we trust technology, Jason, right? We trust calculators, we trust, you know, spell checkers, we trust grammar Lee, right? And we trust Google Search. And I think the challenge with the technology, and a lot of people are working on this right now is to eliminate the hallucinations because that's going to take away from the trust that we have a technology. And so these SPEAKER_04: hallucinations are happening. Why? If you were to explain it to a neophyte, because because these models are inherently SPEAKER_02: probabilistic. And what they don't, you know, you don't have a model that has every single thing that is on the internet, otherwise, the model would be like too gigantic in size to run. So what it has to do, it has to, you know, effectively compress down the internet, in, you know, by a process of training. And when that's happening, it loses information. And so when it's trying to recreate things, it tends to make things up where, where these models are starting to drift is they've been further, I guess, reinforcement learned to always give humans answers. So one of the things that they've learned is humans don't like it when it says I don't know. And that was the beauty of Google Search, it never said I don't know, it would just kind of give you a list of links, yeah, start clinking, look at whether those are good or not. And so, yeah. And so I like that's the reason is that you can't take the entire internet and put it into a model that, you know, the hardware underneath, it's not able to do that yet today. And so good experience. Everything is compressed and in compression, there's loss. There you go, folks. Listen, selling software is hard enough right now, man, SPEAKER_04: it's hand to hand combat out there and b2b land, the last thing you need to do is slow your sales team down because you don't have your SOC two dialed in. So if you're SAS or a services company, and you store consumer data in the cloud, you know what you need to do, you need to check out Vanta, they're going to get your SOC two compliant easier and faster. 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They love startups vanta.com slash twist that's vanta.com slash twist to get $1,000 off your sock to we spend a lot of time on that one but for good reason because YouTube is like I think YouTube is the best data pool out there. Overall, I think Twitter's good for real time. But YouTube has all these deep interviews and I think that's going to be that's why they want Yeah, of course, by the way, that's why they're making a big push for podcasts. A big push for podcasts. And this is why Spotify could have something really interesting at some point. Yeah, or anybody podcasts are freely available to index when you think about it. Now, I think you probably need permission if you're gonna build a well they're all on RSS feeds. So you could just look for RSS feeds with attachments and just start indexing but I don't think you have the rights to do that now. Will a podcast or care will I care for this weekend startups to be in somebody's model have to think about it. I if I if I got credit and links back, I'd feel pretty good about it because I would get traffic back. So this is like a Google model. So we got to figure that out. We got to SPEAKER_02: figure that out. Okay. All right. This one was making big rounds last week. And you know, we had it queued up. But we did the podcast on the open AI stuff. So this one I find really fascinating. It's called TL draw. And what I did here, because I didn't want to do it real time. I kind of queued it up. I drew this, I saw someone else do it. So I, you know, thought this was a good example. So I made up a game to famous game J cows first video game pong. Yeah. And it's very monumental, right to think about what's gonna happen here because this was one of the first video games ever created for Atari, I believe. And so what I said is like this, here's a paddle. It's controlled by the QNZ keys. This is just a line drawing you made. SPEAKER_04: No, no, like I drew it in this app down here. SPEAKER_02: You made a square. Yeah, I mean, a two rectangles for the paddles. SPEAKER_04: You made a ball. Yeah, I get it. SPEAKER_02: And then I and I told it the rules. And I said the, you know, the scores here. And then all I have to do is I'm going to take this, I'm going to highlight the all these things that I did. And I'm going to hit this button that says make real. And this is going to spin for Oh, no. Yes, no, it's gonna spin for about 30 seconds. And, you know, think about the work that went into building the first poem. And what we're going to have here and what this is going to do is, you know, we've talked about like low code and no code environments. This is the evolution of that. Okay, so here we go. So here's Pong. Okay. And you can see here. Oh, my God. Yeah, yeah, exactly. This is SPEAKER_01: deranged. It literally wrote the code and made the game Pong from SPEAKER_04: a drawing. Yeah. And then you Oh, my God, this is insane. Do you know how long it took Nolan Bushnell in 1973 to build the first pong? I just looked it up. There's a wire. It took three months for them to build pong. You did it in three minutes. SPEAKER_01: Yeah, well, yeah, it's pretty, it's pretty wild. SPEAKER_04: That is mind blowing. Yeah, this one for some reason is missing one of the lines. But SPEAKER_02: when I did this earlier, I had both paddles. I mean, I gotta run it again or something. But I mean, that's unbelievable. Yeah, yeah. And I'm you can see here, I'm controlling the, you know, and it's keeping score as well. Right. So wild, huh? SPEAKER_04: I mean, when we start thinking about this, all you have to do is, you know, extrapolate from here, because that's how technology works. So Pong was one of the original games, then you get breakout, then you get defender, you get asteroids. Yeah, you know, and then you could say, you know, to the game, make a more interesting version, or make a version that works in VR, or make a version that works with Apple's headset and uses some IP from Disney. You're going to be able to just talk to this. Yeah. So you do a drawing a sketch, it makes it makes a computer program, and then you just talk to it back and forth. And I was in the car this weekend driving, you know, to like Tahoe with my 13 year old. And I set up my there's an action button. Do you know that iPhone 15 has an action button? Yep, exactly. I program my action button. What do you think I programmed my action button to do? chat GPT? You got it. So SPEAKER_04: when I double click my or when I hold my shortcut, it opens up the chat GPT voice mode, voice mode. So now I'm driving, not looking at it, got it in the phone stand in the cradle. And I asked it about the conflict between, you know, I asked it about Hamas, the organization, check questions about that I asked it about the Middle East conflict. I asked it about the solutions, and it just talked to us while we were driving. And SPEAKER_04: then I asked it about the cure, because she wanted to know about boys don't cry and their greatest sets. And then she said, Well, what genre is the cure? And I said, Well, I think it's new wave. And then I asked it and it was like, yeah, they were post punk. And then as they evolve, they became new wave. So I was right. But I didn't think they were post punk so much. But then that kind of made sense to me. Yeah, they gave a pretty great answer. And I was just thinking, this is like having a tutor. Not just for my daughter, but for me, too. Yep. Because SPEAKER_04: I'm guessing, okay, what genre is the cure? You know, like, I kind of think it's rock and roll, kind of new wavy. Yeah. I kind of punk I didn't think of but yeah, now that I think about it, yeah, it was a little bit post punk, wasn't it? And so anyway, you think about what we would do listening to, there was used to be a radio show on Sunday nights, I forgot the name of it. Vin Skelson and did it in New York. And it was fixed Skelson did this show every Sunday night, where he just explained rock and roll to you. Yeah, people would record it and tape it. And I was like, wow, this is like Vin Skelson show on K rock. Yeah, we've lost the art of that even like MTV back in SPEAKER_02: our era, like, you know, they would go through kind of and do that. We've just lost that now. Right? It's all kind of advertising these days. But no, those experiences. Idiots SPEAKER_04: delight was the name of the show. Idiots delight was the name. Oh, yeah. Okay. Vin Skelson Skelson S C l s a is it a delight. A really interesting show. SPEAKER_02: And so what would I take from what you just talked about there, Jason is, I don't know if you've seen Sal Khan's talk, the two Sigma talk that he did at TED, which basically talks about if you give anyone a tutor, they can improve their test scores by two standard deviations, right? It's a great TED talk. It's from this year. And he talks about the impact of like, chat, GPT and LLM's for that. And so, you know, think about the amount of knowledge these things have the costs, which is definitely pretty minimal, and making that available to everyone on the planet. Like that's a huge lift for our entire society, right? A lot of challenges we see come from lack of education. And so SPEAKER_02: we're on the front end of this curve. But I love I love that use case. I'm going to try it out. SPEAKER_04: Yeah, it's just a great thing when you're in the car. I think also could play games with you remember Alexa had some games that could play of course. I think it's gonna play some games too. You can make games right? We could just say, Hey, we want to play rock and roll trivia. Can you give us some rock and roll trivia? I bet you we do pretty good job of that. So I just think it's like lyrics. Yeah. Well, this concept of a personal tutor, I think is going to be very powerful. In fact, I was thinking about doing like 20 years ago, a little bit of fiction writing, and never got around to it. But my first story that I wrote, it wasn't like a Black Mirror story, but it was a little Black Mirror ask that somebody had put implants of headphones in their ears. And that they had a personal assistant that would talk to them constantly. And it would read to them stock prices. And it was about something internet version of the pin. Well, oh, yeah, exactly. But it was an SPEAKER_04: implant, actually. And it was a.com person. Yeah. And I had written about the.com era, but like 30 years later, and they went insane, because the stock market went 24 seven, which was a prediction I had that the stock market 24 seven, and he became obsessed with the stock price and trying to change it and manipulate it. And the stock price was being read to him every 30 seconds. And then he would be doing things in between. He went mad. Yeah, because I just had interviewed somebody as a journalist about, you know, this flow of information, and then somebody was pitching a 24 hour stock market in the.com era. It never happened. And people figured out this is a really bad idea. When Neuralink we're not too far SPEAKER_01: SPEAKER_01: SPEAKER_04: away. Well, and that's an interesting part, you know, 20 years, 23 years later, when I wrote that little short story, I wish I could find my laptop with it. You know, now I think this AI and the TV, then movie horror kind of gives you a path to that you got to be very careful with this because you could just be in constant dopamine hit mode, constant learning mode, and I have a little bit of that now. I don't know if you have this addiction to podcasts, but I have probably 100 podcasts I listen to. And I go to sleep listening to them. And sometimes I stay up for two hours listening to podcasts. It's pretty dangerous. Yeah. Yeah, I sound calm back on the pod. Yeah, yeah. For that. And you know, definitely watch the SPEAKER_02: talk. Jake held the two. So I'm gonna watch it. So remember when SPEAKER_04: that went, you know, it's another example of like, there's just too many things I'm gonna dump that into actually how long is the doc? It's only it's I'll probably listen to it. What if I like to go back to Bard and ask for the summary? SPEAKER_04: Yeah, well, you know, interestingly, the way I do this, literally this morning, I was talking to my producers, and I was asking producer Nick, how do we do this? The way we do it right now is we take a YouTube video, there are kind of websites out there that let you take a YouTube video and save it as an mp3 file that kind of like Russian websites or whatever. You can and there's one called SS youtube.com. So if you're on a YouTube video, if you put an SS in front of the word YouTube, so you just go into your URL in your browser, it'll take you to a website, I'll show you what it looks like. Oh, looks like it got discontinued in the United States. Anyway, what this video saved from the net did was it will let you save an mp3 file there. This is like a cat and mouse game. And then you can take that mp3 file, you can upload it to Descript or another service, it makes a transcript, they take the transcript, you upload it to Claude and make a summary. So what we're showing here from YouTube is maybe you don't have to do that two or three step process. But Google's bard is not a high functioning LLM yet. Is that what we've come to that Claude SPEAKER_04: Falcon and chat GPT and grok are better. SPEAKER_02: Oh, man, I think chat GPT is in a league of its own. Okay, still. And I think palm is improving all the time. I you know, I'd love you know, hopefully, maybe some folks get back in touch with us and explain why we saw such wild hallucinations. And if there's a way for us to understand, let's get the bar people back on. We had somebody from bard SPEAKER_04: on back in the day. So let's do that again. Yeah, here is the TED talk. You just summarized it. Let's take a look. You had we had jack him on from the barge. Is this actually good SPEAKER_04: here? Yeah, reading it because I pulled it up. But in general, this seems SPEAKER_02: pretty accurate to what he says. Basically, it's like AI has a potential to provide personalized instruction students at a global scale, what we're talking about. Yep. And it's been unattainable because of cost and scalability issues. And then he talks about like the impact of tutoring. This is Yeah, it's a good it's a good high level summary. I don't think it made up right in here. Yeah. SPEAKER_04: So okay, congratulations, Barbie plus on this one making Pong that's an A plus. Okay. All right. Making longs and a plus. That's SPEAKER_02: what's the name of this? That one is called the service is called TL draw. I'm just going to pull it back up for the L draw. TL draw. Yeah, so tl draw.com. And that's it. Now, something makes it a startup or something. Yeah. Wow. Just incredible. SPEAKER_04: Starting a business used to be such a painful process. You needed to get a lawyer. There were tons of fees. It was a mess, but not anymore. Just check out Northwest registered agent. 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SPEAKER_02: I want to show this gentleman Jordan singer, he did a similar one. And so all of these are powered by the GPT v API. So you know, the vision that we've played around with a little bit. And I think you've even tried it, you gave some I think you were doing some food things and as great Jake how. And so this person created basically an iPhone app, which you can go and download if you go to his tweet, he has a GitHub link to it. And I'm just going to play the video. And in the video, what he does is, and I'll just explain it for those listening, he's basically drawing like a number keyboard, so 123456, and then putting plus minus equals. And then he gives it a name here. And what you're going to see is he's going to say create. And this is on the phone itself. And watch. And this is like app creation. And I built a business making apps. I remember. Yeah, yeah. And yeah, this is it'll be done here in a second. And so it's spinning. And there you go. And he's got a working calculator from a sketch. SPEAKER_04: So he literally drew a calculator 123456789. Yeah, zero plus minus, etc. And then he told it to compile it and it did it. Yeah, yes. Yeah. A working iPhone app. A work. Well, this SPEAKER_04: looks like a browser app to me, but no, it's not. No, no, no, SPEAKER_02: because if you go he gives you this is like a Swift app. It's not it's not. Yeah, so it's. So this is a Swift app building SPEAKER_04: Swift apps. What is he in an ID or something? What's this? No, SPEAKER_02: no, no, this his app is the app that builds apps. It's very meta. Oh, my God. So it's an app, you draw on it. And it SPEAKER_04: makes an app inside of the app. Correct. That is bonkers. Well, you know, this is what I love because, you know, for the past couple of years, we've been doing this founder University concept. And one of the things we did is we had bubble and some other no code platforms. And we have Zapier and notion Koda, a bunch of these ways type form Survey Monkey, etc. You can kind of stitch together a frankensight. Now that's a little bit of a derogatory term, but you can stitch together a no code prototype. And what's happened is we've gone from no code prototypes, then to actually production products with web flow or bubble. And now we're going to actually native apps with AI. What this does is it gives a group of non developer but product manager designer types, the ability to actually make a prototype and throw it out there and let somebody play with it. Right. And we saw this, like you could build Angry Birds now. And, you know, if you if you play a video of Angry Birds to an LLM, could it make the code you think well, SPEAKER_02: in you know what this assures in? I think it could, like pong, you know, this is just it's happening really quickly. And you know, remember, we were giving predictions like it's happening even faster than I would have thought. I think we're going to enter an era where we're going to have a lot of apps, instead of that you'll just create on the fly for what you need. And I think people are going to show an example, give an example. Well, like, and I'm going to do another demo in a second. So I'm going to lead up to this. But like, in the case of you want to do like a meme editor, right. And so you'll kind of just be like, instead of searching in the App Store for the best one, you'd be like, Hey, can you quickly give me an app where I can pull up memes and then you know, edit them and then post them. And so instead of looking through the 50 or 100 meme editors there are, you'll just get one created for you on the fly for the thing that you're trying to do. Interesting. Yeah. So if you and I were going to go skiing, we SPEAKER_04: use something called slopes, really cool apps where we track our runs, you could say, make me a slopes app. Now that has GPS, that's a little more sophisticated. But we could actually say, Hey, we want an app to just track ourselves while we're mountain biking around Lake Tahoe. Make me an app, share it with my friend. And it'll be our own personal, you know, between us summer app for or summer activity app. Yeah, we're gonna be skiing and like, make us like a SPEAKER_02: communicator for each other or something just like a wild. It's wild. Yeah. Well, yeah. Think about this. Hey, we've got SPEAKER_04: a group of 10 besties. Yeah, make us an app that shares our location. And what stores we're going to and just creates a running list and then deletes it after 10 days. So people can see what stores we were going to, whatever, you know, like, or we're a bunch of parents, you know, put us in a group and we can talk about our kids, but we want to track our kids and see where they're going. And you know, they're gonna have a play date. It's gonna be very bespoke. I think we're gonna SPEAKER_02: love that. I love that. That's just kind of like how people use SPEAKER_04: Google Sheets when you think of it. Like you pop up a spreadsheet, what do you use it for? People use spreadsheets for like, planning a party, their schedule, you know, voting on trips, and you just use it for anything, budgeting recipes, people will use, you know, little Google Sheets for anything. And I think that's what's gonna happen here. Yeah, you're going to talk to your AI make some sort of app and just use it amongst friends and toss it in the garbage. Just like you might toss a Google Sheet in the garbage. Not using it anymore. All right. So I give that an A plus, by the way, that was mind blowing. Yeah. Yeah, like an app with it. Now. I think one SPEAKER_02: of the crazy things is Apple won't approve that because they don't like but you know, I think it's a really, really interesting era we're gonna see. I give both of those in a plus. They're two SPEAKER_04: different companies. Yeah, they are. Well, one's not even a SPEAKER_02: company. One's just someone who created it like a developer. available. So I'm just gonna give one a shout out. No, no, no, they have a GitHub that you can go and use it and download it yourself. It's for developers. Got it. Okay. Yeah. All right. Okay, next one, which is also really interesting. This one gives you like the UI, it doesn't implement it, but it gives you a really nice looking UI. So down here, in the text box, what you can see here, there's a like an iPhone. And I said design a restaurant reservation page, a number of guests date and special request. And I'm going to hit that. And basically, SPEAKER_01: yeah, we knew this was coming. We talked about this last year. SPEAKER_04: And it just starts writing the code for this app. Yeah. It's just bonkers. I mean, and then I guess is that what is the fidelity of the code? Have you looked at that? Yeah, totally usable. Totally usable. Oh, you totally usable. SPEAKER_02: Yeah. And it's just loading up here. So I'm just doing it live. Okay, so you can see that Eric's installing watching the app. There you go. Make it right. There it is. Make a reservation. Think about we used to use. I forgot the name of it, the app to just mock up. We use you can use envision. Yeah, he was balsamic balsamic SPEAKER_04: balsamic was like the old school one. Look what look what's SPEAKER_02: happened. Like you don't. And this is you can download this. Yeah, right. And there it is. Right. I've just pulled up the code for those folks listening. That's nuts. Yeah. So let me ask SPEAKER_04: you a question. You as somebody who ran a dev shop, and you built lots of apps for large social networks, dating apps, famously, you did Tinder, when you had your dev shop in Canada. What's the future here? SPEAKER_02: Well, I think it's superpowers, you know, so I'm talking to a couple of people who are reimagining that business right now, you can you know, they came in wanted to speak and the business but reimagined what used to take months will take days, what used to take different sets of resources can be collapsed into these tools. And I think we're the same type of innovation we saw when the App Store came out. We're gonna see like another kind of step function and innovation right now. Okay, so the App Store, yeah, made the world into software SPEAKER_04: buyers. Whereas previously, the average person bought, you know, like one software package a year, maybe, you know, put in video games aside, you know, people didn't buy apps all that all didn't, they would go to CompUSA back in the day and buy some software, you know, off of package, you might buy a browser, you might download something off the internet, freeware shareware, but you got Microsoft Office, and you're kind of done. And they need to cloud computing, you might buy two or three SAS products. Maybe if you were a junkie, you had 10 SAS products, but call it five for the average, you know, executive maybe you bought. But then the App Store came out and people had collections of dozens of apps on their phone, probably the average phone has 50 apps on it, I would think over, you know, some number easily. Yeah, yeah. So now you think a step function, it could be 500 could be 10 times the number of apps available 100 times the number of apps available? SPEAKER_02: Well, I think what you're gonna get is a combination of these two things that we just saw is like, what you need in that moment created for you. So mind blowing, right? Yeah. So like, SPEAKER_02: you know, I think it's a challenge to like an open table. Now, obviously, they have a back end integration, which is quite important. But you know, think about the experience of a booking restaurants and like having people pick and so you could quickly just create something, send it around, everyone picks a date. And then, you know, that features really hard for the company to build people just put that together. And maybe it connects to the open table back end, and gets a restaurant book. So it sends it out, everyone picks their date, finds the common date, you know, like those tips splitting. Yeah, I'm sure for more complicated cases, coordinating, it's like SPEAKER_04: Calendly or whatever, you know, find us the date that works, or you're the restaurant itself. And you say, you know what, I want to have my own booking app, I want to give that presence. I want to give that precedent over places that charge. So make me for you know, my favorite restaurant in Tahoe be I want to get more people fighting for reservations there. They can make their own app for beep beep. And then they could say, you know, hey, we want to have these three tables or the VIP tables don't include them. These three tables are include are for tasting. And if you want them, you have to do the tasting menu, and then the rest are first come first serve, and build me a database of all of my best customers. And this is your SPEAKER_02: product spec, what you just said, that's all would be all that would be required for the product. Wow. It's just so mind blowing. Because you think there are some restaurants that SPEAKER_04: probably create their own apps like Alina, we had the famous co founder of it, chef and everything. They have a huge waitlist. I think they were the restaurant that in season two of the chef episode, I think it was seven or eight, the one where he goes and works in college somewhere. It was based on that restaurant, you know, they actually built their own software for buying because they had so many reservations, they built their own software platform, they wound up selling it to square, I think, okay, to book their restaurant there. I think actually even bid on reservations, but you had to, you had to buy them like sports tickets, basically was his big innovation was okay. You know, like when you buy tickets to the warriors, or see, is it is it Dorsey? No, Dorsey is, is kind of inspired a little bit by that. But what Dorsey is doing, which, you know, if I was younger, I would be using it all the time, but I don't really go out to eat as much as I used to. They will let you bid on like, really prime tables in prime markets. And you just agree to 500 I've seen $500 a person in Dorsey. Yeah, yeah. committed spend, pre committed spend. Yeah, so it's not an auction. It's just you're pre committing your spend. And when you go to the restaurant, my understanding with Dorsey is it like, it shows you in the app in real time as you order, you're like, I'm gonna get this two bottles of wine, a bottle of champagne, this bottle of wine. And that's 600 bucks. And we you and I went on a date, it was $1,000 pre commit. Now. You don't even have to pay a bill at the end. You just walk SPEAKER_02: out. Yeah. And then whatever you have left, I don't know if you SPEAKER_04: just give that as a tip. I think it is that Yeah, no, I think the restaurant takes it. That's there. You don't get it back. Although I know you don't get it back. What I'm saying is like, if I spent 600 400, could I put that 400 towards the staff? I'm gonna look into that. I'm gonna I've used it. I haven't thought about that. You have used it. See it that I would be fine with it because I'm a big tipper anyway. Yeah. So if I really wanted to go to a restaurant, I was only in that city for that weekend. I appreciate it. So when you get nice wine, it's a no brainer because you go past SPEAKER_02: that anyways, right? Yes. I don't. I'm not a big drinker. So SPEAKER_04: like a social glass of like an ounce of wine, but not really my jam. I've got any more demos here. Let's get one more demo more, but I want to jump forward to one here. Okay. So runway, SPEAKER_02: just launched this thing called runway TV. And basically, it's an AI generated channel. So everything in here, I have a little guide. And basically, this entire service is AI generated. SPEAKER_04: Okay, so they've made a cable system with cable channels. Yeah, all AI generated. Okay, that's they just replaced the entire corpus of cable television. Well, no live sports, but SPEAKER_02: you can share any anything else that's scripted. And they have like, give an example here. Yeah, yeah. So let's go here. Gen 48 film of the week, creative partner programs. I want to be careful here because I haven't pre tested these, but we go sci fi. Just another cat. Okay, so you clicked on that SPEAKER_04: from the channel guide. Yeah, we hit play on it. So it's like a channel guide. Now. Just a hit. It comes up with Yeah. What SPEAKER_04: looks like a 1970 TV show of like, looks like a detective or something in a 1970s car. Yeah. And so now it's just like full episodes of these things. And it just made TV shows. They're SPEAKER_02: shorts. Right. This is just shorts. Yeah, no, no, but then they have a whole storyline on the audio is coming in. Maybe I gotta reshare. It's okay. Don't worry about we won't play it SPEAKER_04: because you don't want to get dinged with anything. But so anyway, it just basically plays a short. So it's just random AI shorts that were created. That's nuts. Yeah, well, they often do a SPEAKER_02: genre. That's the sci fi genre. Right. And so it's it's really nuts. That's why. And, and look, like we're, again, we're in the early innings, like, what does this mean for, you know, any other we obviously seen layoffs at ESPN and other places, but man for content, and we just saw the writer strike end. Yeah, this was pretty wild to have already this early on have like a, you know, a whole network like a cable network. Yeah. And I'm SPEAKER_04: doubtful that any of this is actually really that interesting or refined because it's not like doesn't have the human touch yet. Yeah. Give it time, maybe some of these will actually be worth watching. Now imagine also, he's Wattpad plus this, SPEAKER_02: right? You take really great stories and combine human written stories on Wattpad and then move more SPEAKER_04: here. Yeah, because you know, actually, Fifty Shades of Grey, my understanding was I met the woman who wrote that at a party years ago. And somebody told me that the Fifty Shades of Grey was originally Twilight fanfiction. And they she changed the names of it to make like new characters, but it was kind of, I guess, in this romance, they would add a lot more romance to, you know, fill in the blanks here to, you know, something that didn't have as much romance in it. And so that's kind of interesting. I'm thinking about this. And I'm, I'm just wondering about like some IP licensing and some big IP brands would be very interesting to me is to take Mike Tyson and have Mike Tyson fight Floyd Mayweather. And this is I think we talked about this back in the day. But imagine if you took all of the Floyd Mayweather fights in history, you took all of the Mike Tyson fights in history. And then you said, what was their peak? Okay, Mike Tyson versus this person was deployed Mayweather versus this was a peak. Okay, now, give me those two fighters, put them in the ring. SPEAKER_04: All these debates, SPEAKER_02: and now the debates are over. Let's play Floyd Mayweather SPEAKER_04: versus Mike Tyson. I think Mike Tyson is gonna 70% chance of absolutely just destroying him. But I don't know. Because Floyd's defensive strategy might have tuckered him out. And then Floyd is heavyweight and heavyweights can't fight lightweights like SPEAKER_02: that. So okay, so then what you say is move Mike Tyson down to SPEAKER_04: down say Mike Tyson strategy, move him down to middleweight and take Floyd move him up to middleweight. Show me. Yeah, so just change your body types, but keep their style. Yeah. Wow. Yeah, that is incredible. Because now you could have people go cross it, they could say, Hey, let's actually have Michael Jordan play LeBron in a game of one on one. And let's see what that's like. Yeah. Which I guess is what the NBA video games do to a lesser extent. With machine learning. They try to approximate them. There's what is the NBA game that everybody plays the video game where you make your own teams and you play like, like 2k NBA to play 2k. Okay, yeah. I SPEAKER_04: wonder how much AI or machine learning 2k is doing when they play, you know, teams. I understand you can play like, you know, yeah. SPEAKER_02: And you can Yeah, and their career modes, you can play the legendary bowls versus legendary Lakers and or whatever you want or NBA Live, I guess. Yeah. So that's a big thing. The ratings are provided by humans because there's a guy that everyone kind of, you know, kisses up to, I think is Ronnie 2k. That's his name. And he's the guy that ultimately is in charge of the ratings. And so a lot of players go to him when your rating is off. So it's and they wait for ratings get updated and all that. So it's a whole kind of sub ecosystem. Yeah, I'm gonna SPEAKER_04: give that a C plus right now. Okay. It's like an interesting proof of concept. I'll give it a C. I'm not even given interesting proof of concept. It doesn't look real doesn't pass the uncanny valley. You know, I think it's gonna need a lot more work, but I think it shows some promise. And it's interesting, SPEAKER_02: tied into story making. So I'm kind of in the same place as you know, C, C plus, but kudos to them. And now you can see why they have such a huge evaluation because they could become like the next network. Okay, this next one, I've SPEAKER_02: actually been using quite a bit. So stability AI. These are the guys behind a bunch of these really good models that we see for generative image generation, but they have created a whole bunch of new tools. And so they've got tools here that can take an image and uncrop it for you. I love this, you can basically like start a doodle, you can clean up an image, you can remove a background. So I'm not going to go through all these, you can upscale an image. This has been really what's the URL for this? Let's just clip drop.co. Okay, and who is this SPEAKER_04: by? This is by stability, stability. Yeah. So this is like things that you would pay. Yes, Photoshop graphic designer to do for you, you give them a picture of yourself and say, I want this to, you know, have me take the background of my house out. My backyard and put me on a beach, or just take the background out and, you know, put a color behind it. Replace the background. SPEAKER_02: So I'll do one here like just and I was, you know, this is a classic guy here. And so you know, you know, this weird SPEAKER_04: looking guy with a mug who's got like the grin. Yeah. And he's like, and so I did that. Yeah, put him on a stock image. I forgot what they call that guy. He's got like, he's got the white beard and like the bald head wearing the blue shirt, and he's kind of doing work. There's a name for this meme, but the guy looks like he's constipated or something. Well, SPEAKER_02: he's always buying like the thing late, like, Oh, I just bought, you know, like, he's like, old dude, laggard. He's like, I'm gonna call him like, white beard laggard. So now what SPEAKER_04: you're doing here is but were you also making memes move around on the internet? Different one, I can show you that too, if you want to see SPEAKER_02: that. SPEAKER_04: I thought that was the most interesting demo. So this one, I'm gonna give B plus two this collection is incredible. Yeah, it's incredible. Yeah. And honestly, like, I'm using it all SPEAKER_02: the time for whether I'm creating decks or something like that. And it's, and there's a lot of tools in here. So I recommend everyone to go through it like removing backgrounds, reimagining pictures, uncropping something. upscaling is this is a real pain in the butt. Like upscaling pictures has always been the name of that guy. Hide the pain Harold. Just for people SPEAKER_04: to hide the pain. Yeah. All right. And, okay, so then, so SPEAKER_02: that was stability. So this is a model from stability, but they haven't made it available on their site yet. And so I'm running this on replicate. So replicate is a place where you can take models and they'll run them for you. And basically, you know, they've got farms of GPUs available. So in this case, instead of the memes, because I did animate some memes, but something more important is I took this very famous picture, raising of the flag in Imajima. Yeah, yeah. And basically, you SPEAKER_02: know, you run it. And we can you can tell it what to do. Did you tell it to raise? No, no, no, no, it that's the beauty. You do tell it nothing. And so you tell it and you give it an image. It has a few things that you can modify here. And basically, these are you can how long you want it to be how many frames motion bucket. These are some very this is again, this is we're running it live on the GPUs ourselves. Right? And basically, you click run. And this may not go super fast, because depends that if we have access to it goes, it started. And so this is this is actually what happens when AI runs in the background. So you can see this doing the work on the the the GPU directly. Yeah, what is costing you to do is costing you 10 cents to do this SPEAKER_04: look at that. Yeah. So once this is done, or maybe I'll just open SPEAKER_02: this maybe in a new tab or something. So you can kind of I don't know if it's doing them. Yes, it just goes like second by second. So they take about 60 seconds. And the pricing for that model, which is Nvidia and 40 large is, you know, basically, yeah, it's that two bucks an hour. So it's like, I don't know, what one 100th of a cent or two bucks an hour. Yeah. SPEAKER_04: Yeah. So that's nothing. Yeah. Like three cents a minute. Yeah. SPEAKER_02: Yeah, exactly. So that's what it takes. And, you know, this thing will run here. I don't know if this one will come out as good as the one I just shared, because sometimes you have to tweak some of the settings. Got it. And it's amazing. The idea that you could take a meme. SPEAKER_04: So we just did that live. That's one, the flag is waving a bit SPEAKER_02: different than the one I had posted. Yeah. Yeah. Crazy. SPEAKER_04: Absolutely nuts. Yeah. I mean, and this is, again, we're still in we just hit year one. So if we just consider this year one, this is nuts. And what we're seeing here is entire industries to recap for the episode. We started with what a researcher does for 40 bucks an hour. And we showed that that can be done at a 90% 80 to 90% of the work will be done by is already being done by AI. Then we showed making a basic video game or a calculator for a developer. And again, I think 80 90% of the work's done, you probably have to massage the last 20%. Then we showed video and images. And in the case of the static images, we saw maybe 70% of what a image processing person who gets paid 2030 bucks offshore could do right cleaning a background or whatever, and maybe 40 or 50 bucks here in the US. So and then we did video with that network show. And that would be Yeah, you know, I don't know. That's a lot of creatives doing a lot of different things. But it's not ready for prime time. So it's probably doing 10% of what needs to be 20%. Yeah, we could check 10% of millions of 10% of millions of dollars. SPEAKER_04: Yes. So the question is, when can they do a Pixar movie? So I'm gonna put that out there. When can it make something? And let's even go with a short? When can it make the short at the beginning of a Pixar movie? You know that the shorts at the beginning of the Pixar movie, summer 2024? I'll put it out there, we'll see a full movie SPEAKER_02: Pixar quality created by AI. SPEAKER_04: Wait, wait, you're saying in six months, you're saying August 1 2024? I'm taking it over. SPEAKER_02: It might not be in the theaters because of the the you're saying the same distinguishable from the movie or ratatouille. Are we SPEAKER_04: talking about just the fidelity of the video or the storytelling the animation, the voiceover, all that everything? Okay, so we're gonna complete Hold on, let you reset the bet here. Yeah, we're gonna reset the bet here because it's gonna be a real bet. Yeah, I want you to set it properly. indistinguishable from ratatouille, my favorite film. I see ratatouille and I see this new one and I cannot tell the difference. I watch five minutes of it, where we show somebody five minutes of ratatouille versus five minutes of this the best five minutes. And the consumer it passes the uncanny valley. They believe this is the next Pixar film. They believe it's the next Pixar film. Yes, will be the bet. I think that's three years from now. Because you got to do storytelling too. And voice voices can be copied as we know, right? We've seen SPEAKER_02: that through AI tools. And it's gonna go on like YouTube because the gonna say 2026 I'm gonna go 2026 Oh my god, January 1 2026 I SPEAKER_04: would set the line at so I'm taking the over taking the over easy win for me. Yeah. And if you're the person making it go ahead and prove it to us make us make us ratatouille part two. SPEAKER_04: You said the short the short that goes you know before those SPEAKER_02: like you make a ratatouille short. So yes, son of ratatouille SPEAKER_04: daughter ratatouille ratatouille makes Shake Shack, you know, rat tatouille does a cooking show whatever your jam is, the AI has to come up with the story, the images, the voiceover the whole package 10 minutes short of ratatouille and it's better or it's indistinguishable from any other short that was done by Pixar at the beginning of something. Okay, there we go. We got it. We got it. You say okay, and if if you do that and you make it you can come on the show. Did we give? We gave our SPEAKER_04: letter grades to everything producers and give a No, what do SPEAKER_02: we give a letter to this clip? We didn't give them for the meme SPEAKER_04: for the meme one. The meme one I'm giving a B plus B plus. Okay. Yeah. Yeah. Because it's, listen, is it perfect yet? No, it looks like it's AI generated, but I'll give it a B plus because I think next year it will not look it'll look like that was actually a video clip taken from from that scene. Yeah, I'm not seeing like they just discovered the video like it would. I think next year at this time, you show it you do the same exercise. That would look like oh, it's the lost footage. And you just say that's what happens with one of the memes I SPEAKER_02: SPEAKER_02: posted J Cal and someone said, Well, this is already a video. And I'm like, Yeah, that's the point. I had animated some memes. And that was a point that it does such a good job that you know, people couldn't figure and this one had a little bit of wonking in his bit wonkiness in it, but people can't figure out that that's happened. Let me see if I can pull this up here. This is one of the more I think it's the most famous meme of 2020. This, you know, women screaming and it's a cat. Ignoring them. SPEAKER_04: It's like some reality show. Yeah, they're actually now screaming. People say, Well, that's the actual video. And it's not. Yeah, it's not. It was from the woman's finger is like her hand is super weird. And her and her face here is a little SPEAKER_02: bit weird. But you know, yeah, we're almost believe it. This thing is in beta still. SPEAKER_02: Amazing. Okay, so I give it a plus. I give it to me and SPEAKER_04: generate people. Would you give it? SPEAKER_02: I give it Yeah, just needs to be go to production. So B plus, but it's, you know, with a caveat that we know it's still in beta. SPEAKER_04: Oh, here we go. Yeah, that guy is called hide the pain Harold. Hide the pain Harold. SPEAKER_04: Just leans forward and like spills his drink or something on his keyboard. It's like very weird. SPEAKER_02: He feels the pain because of what's happened. So his life is horrible. He's just slave to his lost all his money SPEAKER_02: buying the wrong crypto. SPEAKER_04: He literally bought the wrong crypto. And on his windows like 98 laptop. Yeah, from like HP, but he's happy but he's sad because his retirement savings gone. And now he's going to have to go work at TGI Fridays and put flare on his things at the age of 70. Maybe welcome or welcome to Walmart. Welcome or at Walmart. SPEAKER_04: I mean, literally, isn't it amazing you were deep in the crypto game, and now you're deep in the AI game. And more happens in a week in AI than happened in 10 years of crypto. Yeah, I think it's a month maybe my my retrospective of it is SPEAKER_02: false. So one like I'm still a big believer in the underlying technology. That's why we spent time you know, building there and being in the space. But when you can allow people to financialize things, which inherently crypto was because you could start trading them right away without there being value. That was the problem, right. And so it was a combination of like, there was really great ideas. And there still are great ideas being built every single day. But when you can financialize it, meaning people can trade on it before it's gotten traction. So imagine all these things that we've been demoing, you could go and buy it right away. Like there was a token associated with it. Yeah, that's that that would be chaos in AI. The good news is, is like AI and crypto are not intersected in that way. So you can't go off one of these demos and buy it. I like the idea of a more fluid funding environment SPEAKER_04: for projects. There has to be some constraint. And so it would be very easy to just say, I fell in love with crypto for that reason. And when I saw the abuse, I fell out of love. SPEAKER_04: There's a very simple constraint here. Any adult in the United States can spend $1,000 as an investment in a project 10 times a year. So there's an exception. Every American can blow $10,000 a year $1,000 at a time per deal. We just call it the angel investment, exception act, Angel Exception Act. And by the way, if you want to do it, and you want to go above that, and you SPEAKER_04: want to go to 100,000 a year, and 10 bets of 10k, you have to take a course, and you have to get a certification like a driver's license, gun license, barber's license, whatever, somewhere in that range of you have to do five hours of coursework and answer a 50 question test, just so you know what diversity is. And you know, you know that 90% of startups return $0 yada yada yada, that would be actually great for society, because you'd have people be able to transition from lower class to middle class to upper class, it would give upward mobility because you have equity upside. And you'd have some protection because you can only invest so much you can't take your life savings and just blow it like you can on sports betting. Yeah. That would be a fair, I think way to do this. SPEAKER_04: Now there's some people you know, you can believe that you can do whatever you want. And you can understand that too. SPEAKER_02: You can't trade the thing. Like you can buy into it. But like in the similar way, if you invest in a startup, you can't go and like secondary markets do get created, but they're getting created much later. People don't start going and trading on the angel investment you just did. Right? One of the investors really don't allow for it, I would be okay with trading it. SPEAKER_04: If it's still had those rules. So you could trade it to another party, but they can only do 10 deals per year. So it's throttled. Got it. In other words, like, I bought into, you know, the the Pong app for 1000 bucks. I could sell it anytime I SPEAKER_04: want. But if I sell it, that's one of my 10 transactions for the year. So I get 10 transactions per year, where I could sell up to 10, I can buy up to 10, something like that where you have some throttling of the velocity of this. Because like you said, when it's unlimited velocity, it just becomes chaos. SPEAKER_02: Well, speculation and chaos. Yeah, that which is unfortunately, what took over human nature. SPEAKER_04: Well, I mean, I respect people who are libertarians, and say, it's my money, I should be able to take any risk I want with it. I actually respect that. And we do have that in the United States when it comes to gambling. Now other places where there's gambling, like my understanding in Korea, when I played poker at Walker Hill casino in Seoul, it was all non Koreans. And I was like, why are there no Koreans here? And there's no Koreans aren't allowed to gamble in Seoul. They weren't allowed to gamble. There was a ban. And Koreans, then what was one of the most popular places for crypto? Korea, SPEAKER_04: because humans want to gamble. And they actually remember they tried to ban it in Korea. And then they relented because people wanted it so badly. And so human nature to want to gamble. We just have to have some thoughtfulness around it. Yeah. All right. This has been another amazing episode. Follow at Sandeep on Twitter x, x.com slash indeed x.com slash Jason, the site formerly known as Twitter. See you all next time. Bye bye.