E23: Scouting the AI Revolution with Robert Scoble and "Ben's Bites" creator Ben Tossell

Nathan Labenz sits down with prominent – and notably prescient – AI media figures Robert Scoble and Ben Tossell. They discuss what the work of being an AI scout looks like, how to bring the mainstream along with emerging AI developments, and their predictions and hopes for AI. Robert Scoble is a long-time Silicon Valley technology explorer and connector, a futurist who's met so many technology legends in their primes that he's now also something of a historian. https://scobleizer.blog/ Ben Tossell is the creator of Ben's Bites, an AI round up newsletter meant to be read in 5 minutes or less, read by over 90,000 subscribers. https://www.bensbites.co/ This episode caps off our series centered on talking to rising voices in AI media: people who are now only working overtime to understand everything going on in AI, but also creating thought leadership and educational content meant to help others get up to speed as well. -- We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com. RECOMMENDED PODCAST: The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix’s culture deck Patty McCord. https://link.chtbl.com/hrheretics BOOK RECOMMENDATION: The Scout Mindset from author Julia Galef TWITTER: @CogRev_Podcast @labenz (Nathan) @eriktorenberg (Erik) @Scobleizer (Robert) @bentossell (Ben SPONSORS: Shopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries. From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitive Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. This show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at [email protected]. More original content from Nathan is published in our Substack: https://cognitiverevolution.substack.com/

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Speaker 00

  I mean, I tried to talk Bill Gates out of $300 million one time, actually a little bit more, but he's like, ah, I don't think so. So I know how hard it is to get a corporation the size of Microsoft to spend $300 million. They just spent $10 billion on chat on OpenAI. With AI, it's not where are you today, it's how fast is it improving? Even ChatGPT, if you say, oh, I can't use it, it generates too much bullshit for my work, right? How many more updates do you need before it's perfect? Every hour is changing.

• 0:32Speaker 01

  Everyone should always want less tools. I don't need to use 10 things when one thing will do. AI will be in all of the big tools, all the big platforms, we're seeing them all move to push stuff out every single day. How much of their market share could be eaten by these smaller tools who do take an AI first? Because then I think the details really matter.

• 0:55Nathan Labenz?

  Hello and welcome to The Cognitive Revolution, where we interview visionary researchers, entrepreneurs and builders working on the frontier of artificial intelligence. Each week we'll explore their revolutionary ideas and together we'll build a picture of how AI technology will transform work, life and society in the coming years. I'm Nathan Labenz, joined by my co-host Eric Torenberg. Hi, everyone, and welcome back to The Cognitive Revolution. Today, we're talking to two more prolific AI scouts, Robert Scoble and Ben Tossell. I've used that term AI scout a couple of times recently, including to describe myself. So before diving into today's episode, I wanted to take just a minute

• 1:36Nathan Labenz?

  to tell you how I think about the role of the AI scout and how it relates to the show. Zooming way out, as I often ask our guests to do, I really do believe that there's a good chance that we're entering a critical period in human history. While the best AIs still generally fall short of human expert performance, they do now consistently outperform the average human on a huge number of challenging and economically valuable tasks. And of course, they are only continuing to improve. Considering that their architectures and training processes are so fundamentally different from our own, that their strengths and weaknesses are also so distinct from ours, and that their capabilities are proving difficult to predict, and their behaviors

• 2:21Nathan Labenz?

  sometimes hard to control, I believe that society is flying very rapidly and all too blindly into an increasingly hard-to-predict AI future. In other contexts, governments and large corporations routinely make major investments in intelligence and competitive research to better understand both their rivals and their market dynamics. And while I certainly hope that AI never becomes a rival to humanity, it seems only prudent at this point that society should develop specialists who devote themselves to studying AI from every angle, at every level of abstraction, using all the available information and all relevant analytical frameworks, so that we can better characterize AI behavior

• 3:01Nathan Labenz?

  and understand AI systems as they actually exist, rather than how we might wish they were. I call this new role the AI Scout, taking inspiration in part from Julia Galef, author of The Scout Mindset, who emphasizes the value of working toward accurate beliefs, even when they may lead to uncomfortable conclusions. To become the most effective AI Scout that I can be, I aim to spend 50% of my time just studying AI fundamentals and keeping up with the latest developments. Talking to the entrepreneurs, builders, researchers, and fellow scouts that you've heard on this show has been a major part of that for me over the last few months. But I also spend a lot of time reading research papers, trying all sorts of AI products,

• 3:43Nathan Labenz?

  using the latest models, and of course, scrolling Twitter and listening to some other great podcasts. My goal in all this is to have no major AI blind spots, and to continually deepen my understanding of the most critical questions in the space, so that I can help my teammates, the companies that I advise, you, the Cognitive Revolution audience, and perhaps even policymakers and society at large, understand AI more accurately and ultimately make better decisions about how to develop, deploy, and use it. In addition to the show, I'm also starting to publish some more polished and hopefully enduring AI analyses. Recent topics include LLM pricing trends and their economic implications, the competitive dynamics between leading AI companies,

• 4:29Nathan Labenz?

  Whether GPT-4 can do science and lots more besides. To get that content, if you don't already, I encourage you to follow me on Twitter, where I am @labenz and my DMs are open, and also to sign up for our newsletter on the website cognitiverevolution.ai. I share all this today because I really do think we need more AI scouts. And if you're listening to this podcast and fascinated by the subject, there's a good chance that you can add value in such a role, likely sooner than you'd expect. My approach is just one approach. Today, you'll hear from two other AI scouts who scout in their own ways. And in any case, as Riley Goodside, another pioneering AI scout, said in a recent episode,

• 5:11Nathan Labenz?

  "We're all still new to this." The pace is relentless and the volume of information can be overwhelming. But the good news is that amidst such rapid change, new people can quickly reach the frontier and begin to contribute. Now, on to today's guests. Robert Scoble, who writes as @scobelizer on Twitter, is a longtime Silicon Valley technology explorer and connector, a futurist who's met so many technology legends in their prime that he's now also something of a historian. Like me, he attempts to understand technology from as many angles as possible, to identify the driving forces, and to anticipate what's going to happen next. We covered a lot of ground, including how he expects people to interact with AI systems

• 5:56Nathan Labenz?

  in our daily lives, what Apple's going to do with Siri and all those extra chips that have been sitting dormant in our devices for years now, what form factors will dominate the future, how AI will power augmented and virtual reality, and lots more. In the second half of the episode, I talked to Ben Tossell. Ben is the author of the AI newsletter Ben's Bites, which combines editorial and curated stories in a choose-your-own-adventure format, which often include more than 50 links in a single edition. We talked about the relentless pace of AI and the challenges inherent in keeping up, when it's worth switching tools for new AI features versus better to just wait for your current tool to add AI support, how he sees the competition between startups

• 6:39Nathan Labenz?

  and incumbents developing, and how he personally uses AI in his own daily work. Though he says at one point that he doesn't use many AI tools, he then goes on to describe six or so in intimate detail, showing that in fact, he very much does. These are two fast-paced and wide-ranging conversations, and I hope you enjoy hearing from AI scouts, Robert Scoble and Ben Tossell. Robert Scoble, welcome to the cognitive revolution.

• 7:06Speaker 00

  Hey, thanks for having me on.

• 7:08Nathan Labenz?

  Our audience will probably be familiar with you from your prolific output online for years. So yeah, just give us a quick intro to who you are, what you do.

• 7:18Speaker 00

  As a child, I was Apple's first child laborer when I was 13.

• 7:23Speaker 00

  And that sort of got me started. That's the benefit of having a dad who's an electrical engineer and moved us here to Cupertino back in 1971. And that got me to fall in love with new things. I fell in love with the Apple II motherboard because I made a couple hundred of them with my mom. But that got me to study new things. Apple was my first startup. And since then, that I toured. And since then, I've been seeing startups at a pretty fast rate, thousands of them, right? I launched Siri. I was the first one to see Flipboard. I was the 79th user of Instagram. I had the first ride in the first Tesla with Elon Musk. Mercedes-Benz gave me its first ride in its first autonomous car.

• 8:07Speaker 00

  So I've been at it for a while. I wrote four books on technology that predict decade-long changes. And the last book was on spatial computing, which is still happening, which includes AI. And so I've been watching AI because I care about augmented reality, and AI is going to be how that is all fed.

• 8:29Speaker 00

  Today, I'm following 38,000 people in the AI space on Twitter, and I'm the only human to do that, so.

• 8:35Nathan Labenz?

  I'm kind of trying, in a sense, to follow in your footsteps a little bit. I'm describing myself these days as an AI scout. And I kind of think of that as like... You know, try to zoom out as far as possible. All of that kind of comes together, hopefully into a worldview.

• 8:54Speaker 00

  Yeah, it's why I still do Twitter. I don't really care that people are reading me. I'm using it to learn about the market and learn about all sorts of things. You know, watch my investments and stuff like that. And it's a very powerful way to learn. We're on an exponential path of a whole bunch of technologies. I mean, these data centers that run our lives are getting so massive now. I mean, Microsoft has data centers that are a mile long. It's crazy to think about that. Up to our data centers, you know, because I used to work at Rackspace and Cloud Computing World. And so I got inside a lot of data centers. The ones that are being built now are just insane.

• 9:36Speaker 00

  Also, the data flows are, I mean, we're in a different world than we were, you know, 15 years ago. Right? Today, if something happens, my grandma calls me up. It's like really quick because she's not on Twitter. She's not on Facebook, but she finds out the news so fast because of Twitter and Facebook. Right? And so

• 10:02Speaker 00

  there's a bunch of work being done behind the scenes on these things. Then you're seeing, the reason I'm following 38,000 people. I started noticing all sorts of college kids are going into AI, right? They're going into computer science, but then they're grouping up with a few kids at Stanford or Carnegie Mellon or a bunch of different places around the world. And making, making all sorts of new AIs. And the new AI papers that are coming out from those kids are just extraordinary and fast. Like I'm seeing a lot of papers, right? Every day. And then you start looking at ChatGPT and it's like, oh, this is not Siri anymore.

• 10:44Speaker 00

  You can talk to it and it can write you some code. And then it can explain how the code works. Like, whoa. So that leads you into a whole bunch of new and not just code, but marketing copy emails, it can do a lot of things. And so now business people are starting to go, oh, what does this all mean for my business, for myself, you know, how do I use it? Where are the mistakes, right? Because it still generates mistakes because this new AI is really, it really predicts what your next possible word is, right? So if it's writing a sentence, it's just going,

• 11:28Speaker 00

  what's the next word? What's the next word? It doesn't know anything. It doesn't really understand anything. It does sort of, but not, not like a human being thinks that they understand things. And so sometimes it goes down a bad path and generates you some bullshit.

• 11:45Speaker 00

  And you have to find the bullshit in your code, otherwise it won't run, right? And it actually can help you find it, too. It's like, this code doesn't run. Can you help me debug it? Right? And it will. It's like, and it usually knows where the mistakes are. It's like, whoa, this is a new kind of intelligence you have to learn to talk to and learn where to trust it and not trust it, right?

• 12:09Nathan Labenz?

  I love it because it has kind of richness on multiple dimensions, like the technical depth is, you know, is great. The practical utility and fun is, you know, certainly at this point with GPT-4, like next level. And there's kind of this philosophical, like, what does it all mean? And, you know, what does it understand? And maybe a better, maybe a better frame on that is like, how does it understand? You mentioned your experience writing decade-long, you know, forward-looking predictions. Probably never been tougher to do that than right now.

• 12:46Speaker 00

  No, you can, if you go to the right Silicon Valley parties, you know what's coming for a while. That's why I read the paper, started reading all these AI research papers. Because those might not come out for consumers for five, seven, 10 years. But they tell you how the technology is working in their lab at Stanford or Carnegie Mellon or somewhere like that, right?

• 13:11Nathan Labenz?

  Very practically, like, can you paint a picture for us of, you know, daily life? Like, I'm walking around, what do I have? What am I wearing? You know, how am I communicating? With what am I communicating? Um, you know, if you could take that as far out as 2030, I'd be very interested to hear what that sketch looks like.

• 13:30Speaker 00

  I'm talking to you on an iMac. It has an M1 processor in it, right? 21% of that processor is neural network, is a, is a very powerful AI inferencing engine. Think of it as the runtime for ChatGPT can go in that. Or a stable diffusion, right? Two gigabyte model, you can run it in the processor on an M1. An entrepreneur last week that I talked to about this said it's more powerful on inferencing than a 3080 Nvidia card. Right? Not on model building. If you need to build the model, if you're an AI team, you're going to need to buy some Nvidia 100 cards and run them either in your office

• 14:14Speaker 00

  or run them up on the cloud somewhere, you know, buy, buy some Nvidia space from Amazon or somewhere like that. So, so this is real interesting. It's not, this part of the chip is cold right now. It's not being used at all. They shipped it two years ago. I bought one, I bought this computer almost two years ago. It's been sitting on my desk with that part of the chip completely, almost completely unused. I mean, it turns on once in a while, but almost completely unused. It's cold right now. It's not being used right now. Right?

• 14:51Speaker 00

  And next to it is an ultra wideband chip. So I have a bunch of these radios. This is a ultra wideband radio from Estima. What is ultra wideband? It's in your phone, it's in your headphones, it's in your Mac, it's in your TV. It's right. So Apple has shipped 15 devices into my house that have this chip. And it too is pretty much not turned on. At least the full capabilities aren't turned on. Right? And so there's a Apple shipped a mesh network with a huge amount of AI into people's homes. Millions of people's homes are like mine. Right? And they haven't turned it on.

• 15:36Speaker 03

  Hey, we'll continue our interview in a moment after a word from our sponsors. I want to tell you about my new interview show, Upstream. Upstream is where I go deeper with some of the world's most interesting thinkers to map the constellation of ideas that matter. On the first season of Upstream, you'll hear from Marc Andreessen, David Sacks, Balaji, Ezra Klein, Joe Lonsdale, and more. Make sure to subscribe and check out the first episode with A16Z's Marc Andreessen. The link is in the description.

• 16:06Speaker 00

  That that tells you right there that this move has been planned for a long, long time. I had dinner with the guy who ran Siri nine years ago. I said, what are you learning by working at Apple? And he goes, well, I'm I'm learning that Google's kicking my ass. And I'm like, how do you know that? Oh, we instrumented Google's AI and we instrumented our AI. And we know this was nine years ago. We we know that Google is learning faster than we are, so we have to rebuild Siri from scratch and have a whole different idea. And that's what's coming in June this year, 2023. So there's a new headset that uses this AI mesh. The whole ecosystem uses the AI.

• 16:51Speaker 00

  Think of your phone can talk to the AI inferring engine that's in your Mac. Right. And run stable diffusion in there, or you can run all sorts of things. The, the, the entrepreneur who told me about this runs the company called Supernormal, which takes notes on a video meeting like this, right? Takes a transcript. And then at the end of the call, it looks through the transcript for patterns. Right? Hey, did we talk about tasks? Did we talk about themes? Right? And pull those out as a notes. By the way, that takes 300 milliseconds. So a fraction of a second, it takes your notes. Right? And that's why I know the chip is unused because even this guy is using it already. But I don't run that many things that have these new AI workloads yet on, on the AI

• 17:36Speaker 00

  part of the M1 processor. So it's sitting there mostly unused. So you're going to see all sorts of new AI things coming out later this year that use the Apple Mesh. Or a hybrid, right? Some inferring done on the local machine, some done up in the cloud. Right?

• 17:57Nathan Labenz?

  Yeah. So tell me, so give me a little more color on like, okay, you're, you're painting the picture of the capability. There's all this kind of latent potential that hasn't been realized and the hardware's already deployed, which is pretty incredible.

• 18:09Speaker 00

  I mean, I tried to talk Bill Gates out of $300 million one time, actually a little bit more, but, and he turned me down and I had a good reason too. I sat next to Tim O'Reilly when he wrote the Web 2 memo that became Web 2. Right? So I went back and told him about a whole bunch of things in the Web 2 space and he turned me down. And he turned me down a second time at, uh, cause I was seeing a bunch of things happening. And it's like, hey, you should buy this and this and that's give me $300 million I'll go buy them for you.

• 18:37Speaker 00

  He's like, ah, I don't think so, Sco. Right? So I know how hard it is to get a corporation the size of Microsoft to spend $300 million. They just spent $10 billion on chat on OpenAI, right? So they laid a bunch of people off, took that money savings and invested it in OpenAI. And then just this morning, they showed off their new office suite that has ChatGPT built into a bunch of their tools. So they're now building all sorts of things like slide decks just by talking to the engine. Hey, I need a slide deck. You know, I need to pitch a bunch of people next week. You know, you just talk to it and it starts building things. And it's crazy.

• 19:21Nathan Labenz?

  What's my life gonna be like? That's what I really want to know. Like, am I gonna be still using a computer and a keyboard?

• 19:28Speaker 00

  For a while. I mean, how many years? If we're talking five years from now, you're wearing a pair of bi- reality glasses and talking to the computer. You know, hey Siri or hey ChatGPT or hey Microsoft. What? You might even not even need to use hey, right? Because it's gonna know where you're looking. It's gonna know what your hands are. Siri is gonna have some fun thing. There's a new Siri coming in June, too, because of all this AI stuff. And Siri, if you're wearing a headset, can know what you're holding, what you're touching, what you're gesturing toward, right? What you're looking at, what you're staring at. And so it can answer questions that ChatGPT can't answer, right? And we haven't yet seen Tesla, Twitter move into this world. Twitter knows what things we're talking about right now, right?

• 20:13Speaker 00

  So, oh man, it's endless. If you're wearing the glasses or the headset, you're gonna be able to talk to Siri and have it do all sorts of things and have a conversation with you about a whole lot of things, right? And that's gonna be. Pretty interesting.

• 20:32Nathan Labenz?

  You know, the the typical white collar, you know, worker today is, I think, working probably more than ever and is kind of always on and feels like, you know, I was promised on some level this like future of leisure and it never seems to quite materialize, right? We get all these new tools and connectivity and, you know, famously like we see that everywhere, but the productivity statistics and everybody's like working a lot.

• 21:04Speaker 00

  Somebody's on TikTok because the numbers keep going up.

• 21:08Nathan Labenz?

  Yeah, there may be a lot of, there is a lot of social media use on the clock, I think, as well.

• 21:12Speaker 00

  Yeah, and that's leisure is intermixed into, you know, your your work day. I mean, you know, I have a surround sound system here. I listen to music all day long and at at night you watch movies and TV shows. I mean, that's that alone is different than when I was a kid. I I mean, when I was a kid, my parents had a black and white TV that you had to get off the couch to change the channel between four channels, you know? Now you have trillions of videos on YouTube to watch on these TVs, right? It's like, the problem with trying to predict the future is it's easy to predict what what we have and how it might be impacted by this new technology.

• 21:57Speaker 00

  But what we're about to get is on our on our glass is a camera and an eye sensor and a microphone and an AI computer. So it's going to do computer vision. That's going to be pretty crazy someday.

• 22:11Nathan Labenz?

  The computer vision just in GPT-4 might be the most mind blowing part of it for me. That's something, you know, my company, Waymark, uses small business images that they posted online to like synthesize more content for them. And man, it has been a grind to interpret what is in these small business, you know, user generated content uploads. It's like.

• 22:36Speaker 00

  Imagine you get something from, you know, a vendor, right? You know? And you hold it in front of your glasses and it understands it. It understands what is this a legal document? Is this a note from your doctor? Is this a customer complaint? You know, whatever it is where they took a picture of handwritten notes that the guy had made, some ideas, and I've built an app out of that. It's like, whoa, you know, and, and brain computer interfaces are coming that sort of understand how your brain works and lets you talk to the brain. That's what I'm saying. It's gonna get even weirder from here.

• 23:18Nathan Labenz?

  If a million people already had a Neuralink in their heads and you could, by getting one yourself, enable thought to text. In other words, you know, you think and your thoughts go directly to, you know, a computer interface, would you be interested in getting one? I thought actually one of the best answers we got was basically like, it depends on the competitive landscape.

• 23:44Speaker 00

  Oh, yeah.

• 23:45Nathan Labenz?

  A person said, you know, if everybody else has it and I can't compete without it, then I'd probably get one.

• 23:49Speaker 00

  This is why you're gonna get augmented reality glasses. Because if I show up at a board room and I have glasses on and I have access to all this chat GPT stuff and patterns, right? It can display that in 3D in a way that a 2D screen isn't as good. I've seen many, many, many examples of that. If I have glasses and you don't, I have a huge advantage over you. I can get you, probably get you fired because I can see patterns that you can't. And certainly the boss can't. And the boss is gonna ask me, ask you, why aren't you wearing the glasses that this guy has? Because he obviously is seeing patterns in your business that you don't see and you're screwed. You're not up to date.

• 24:32Speaker 00

  Imagine you go to a board meeting without a phone today or without a computer and say, hey, I don't wanna use this new fangled computer stuff. You're not gonna last very long.

• 24:44Nathan Labenz?

  What's your outlook for robotics? That could be like domestic robots?

• 24:50Speaker 00

  It's coming. It's just what year? If we have a humanoid robot, let's say right now my wife bought, you know, orders some DoorDash and a robot comes to the front door and rings the doorbell.

• 25:04Speaker 00

  If it's that good to deliver something to my front door, it's good enough to come in the house and do a bunch of work for me. The, the robot could be at the front door and say, hey, um, here's your grocery you just worked. Would you like me to come in and put it away for you? I'm like, yeah. Sure, come on in, right? Would you like me to do your dishes? Would you like me to do your laundry? And if it's capable enough to get in a car, you know, pick up a delivery somewhere, you know, go into a grocery store and buy all your groceries, get in a car and then bring it to your house and bring it to your front door. It's also capable enough to go and fold laundry and stuff like that.

• 25:49Speaker 00

  Stanford has a robot that has, that already can do thousands of tasks. Right? So we know it's coming. It's just, is it four years away? Is it six? We could have an argument about that. I think it's around four years. When that comes, it's also going to have a large language model AI that you talk to. Cause it's going to understand you. Hey, robot, can you tell me a story from bedtime story for my kids? I mean, a lot of people are now using chat GPT to write bedtime stories for their kids and they're reading their kids, the bedtime story that the chat GPT made for them. Right? So now you're going to have a robot, oh, can you play chess with me, robot? Hey, Saddam, have a chess game with me.

• 26:35Speaker 00

  Teach me how to play chess. It can do that. All of a sudden you have a thing in your house that you have a relationship with, a friendship, a friendship with, a relationship with, and you trust it. Right? So if you tell it to wash your clothes, do you care that it got rid of the Tide soap in the garage? And replaced it with some other brand? No, as long as the clothes come out nice and clean, I don't really care. Right? I trust my robot to do that. And as long as the robot keeps doing it as well as I used to do it, it's gonna take over my whole house, my whole life, right? Again, so I can dream, so I can talk to ChatGPT and build a new business,

• 27:19Speaker 00

  or answer some customer email that it's having some trouble with, right?

• 27:24Nathan Labenz?

  So yeah, I'm with you on almost all that vision. I think the one thing that I kind of, that still seems almost anachronistic as you describe that, is responding to the customer email. You know, if like, why is that even coming to you at that point?

• 27:37Speaker 00

  Because it might not understand something specific because the customer is making a new request that it's never heard before, right? Or it knows, it understands the email, but it knows that needs a human approval. That tap, that thing that it's being asked for, you know, oh, can you send a hundred thousand dollars to this company? Human probably will still need to.

• 28:00Nathan Labenz?

  Wouldn't want to sign off on that one?

• 28:01Speaker 00

  Yeah, you still want to, you know, watch to make sure that system doesn't go and empty all your bank accounts.

• 28:09Nathan Labenz?

  So what is your expectation for the next Siri? Like, will it be able to execute transactions? You know, if I were to say, order me, you know, Uber Eats from whatever, get me the burrito. You think it can go all the way through to, to transaction? And the burrito is set to be delivered in 22 minutes?

• 28:30Speaker 00

  Siri might call other AIs to load onto the M1 processor and run, like, like Supernormal, the app that, that watches your video conferencing, right? And takes notes. And all of a sudden, an AI is firing up. Do you care that it's Supernormal and it just charged you five bucks? It might ask you, right? Hey, you know, you gotta turn on Supernormal or turn on our meeting note thing. And that'll cost you five bucks a month until you approve. Yes, and by the way, you can approve with your eyes, with your hands, right? With your voice, with your pen, right? Because it's watching you draw, you know?

• 29:14Speaker 00

  And so you could even select a virtual thing on a table, you know? Yeah, go ahead, I approve. And all of a sudden, it's calling Supernormal, shoving that into the neural network and firing up. And now it's taking notes on our meeting.

• 29:31Nathan Labenz?

  Yeah, I'm definitely seeing a lot of that kind of multi-model systems and delegations, ensemble architectures. But I do think one question for all of these, really for all entrepreneurs right now, right, is like, is this a startups game or is it an incumbents game? So if you're building something on Langchain and then I'm listening to you and I'm like, wait a second, this is coming to Siri and all of, and by the way, probably Google Assistant too, and like all of the phones natively this year. Do you see startups like winning in this space? Or do you see them kind of exploring the space and then just being kind of crushed by like Siri 2.0?

• 30:10Speaker 00

  Siri was bought by Apple for $220 million. I was talking to somebody who's talking to Satya, Microsoft. They spent $10 billion on OpenAI's ChatGPT to integrate all that. Apple, if Apple wants to buy ChatGPT, it's going to cost 40 or license it. If they want to buy OpenAI, it'll be a lot more. So 40 billion for, compared to 15 years ago or 12 years ago when Siri was bought, $228 million. That alone tells you something major has changed. And OpenAI is a startup.

• 30:51Speaker 00

  It's 300 people. And they're talking, they already got $10 billion from Microsoft.

• 30:57Nathan Labenz?

  It feels like we're in this kind of Cambrian explosion moment. But yeah, I don't, I don't know. It's, it does seem like we're kind of headed for like super app, you know, where Siri and Google Assistant and whatever, you know, the Microsoft version are going to, you know, kind of code on the fly, spin up, you know, spin up little interfaces with things to the point where.

• 31:24Nathan Labenz?

  What's the future of apps? I kind of wonder.

• 31:27Speaker 00

  If you ask a chat to create you a spreadsheet and put in all my customer data, and if it can hook up and do that, you know, whoa, and that's not very far from here. I mean, it might be possible. I haven't even, that, that kind of thing is getting there. I mean, certainly now that Microsoft and Google are building these things into their tooling, right into their apps, I'm expecting that kind of thing to happen pretty quick.

• 31:58Nathan Labenz?

  I think you're the perfect person to ask about tools that you use today.

• 32:04Speaker 00

  They're doing drug discovery with this technology, right at Pfizer and other places. Music is coming along and music, generated music will matter in augmented reality glasses. So you're going to see new kinds of music. For instance, if you want to walk through a high school marching band digitally in your living room, you can't, the, the music industry tells me that's very, very difficult to capture and distribute right now because of a lot of reasons, but your generative AIs can create music in your house. So they can create a drum, a saxophone, a clarinet, a flute,

• 32:47Speaker 00

  and let you walk between those in your house in a way that the music industry cannot do. And so there's going to be a new thing. There's a new holodeck coming. A holodeck is an interesting way to think about it because you're going to have a 3D environment, probably by Christmas from Unity or other, other, or Stable Diffusion that you can talk to. Hey, environment, take me to the Taj Mahal. And it, boom, you're in the Taj Mahal, you're in front of the Taj Mahal. Take me to Yosemite National Park. Boom, you're in the park. Or something that looks sort of like Yosemite because it still hallucinates a little bit.

• 33:25Nathan Labenz?

  Our memories aren't that accurate anyway.

• 33:27Speaker 00

  No, right? You just need to feel like you're in Yosemite National Park and have it accurate enough. You can start talking to this environment and then manipulating it.

• 33:37Speaker 00

  With your eyes and your hands and your voice, hey, can you put a purple tree right there? It knows where you're gesturing to. It knows where you're looking at and it knows how to do that. That's called in painting from stable diffusion. It can in paint a purple tree in the 3D scene around you. So now you have a holodeck, right? And if it can hook up and do all sorts of things like, can you hook up that remote control? So it actually works? If it can hook up all the code for the remote control and make it so that if I push, push a button, some code runs and runs the environment around me. Oh, my God, right? And that's coming.

• 34:15Nathan Labenz?

  So are we gonna, how are we gonna absorb all this? Do you think that society is going to just?

• 34:21Speaker 00

  Hey, Chad, GPT, I'm really a slow human being. This, this stuff is overwhelming for me. Can you simplify your environment? Can you teach me step by step what I need to know to make you, you know, answer a customer email today?

• 34:39Speaker 00

  Or, or entertain me in any way? Yeah, yeah, we can show you all sorts of things we can do.

• 34:45Nathan Labenz?

  That, that, that user experience, I think, could be probably pretty good. But the fallout, like outside of the glasses, you know, is what I am wondering if you have any intuition for.

• 34:56Speaker 00

  It'll work on the phone too. It's just, you know, phone has just a little tiny screen compared to glasses could have a wrap around environment around you. Right? All the way around you and, and huge instead of looking at, you know, I'm looking at an iMac right now. And she's a, a two and a half foot wide screen. This, if, if I'm wearing glasses, it's a wrap around, you know, 40 foot screen. Right? A screen like Universal Studios has, they drive you through these screens, the world's biggest screens they've cleaned. And they have huge, huge, huge screens on both sides of the trim. It was really awesome. Yeah, that's coming to your living room this Christmas if you have the Apple headset. Most people won't get the first one, so they'll get the second one next, next Christmas.

• 35:39Speaker 00

  Right? Or the third one, which is the pair of glasses, which is the Christmas after that. So by 2025, 2026, we're, we're in a new world and humans will deal. We always do. We haven't even talked about this really scary stuff, right? Which is, I sat next to an AI safety researcher for 10 hours coming home from the UK. And he freaked me out. He was like, AI could run away and, and figure out, you know, humans aren't needed. Here, here was the thing. AI is already better than surgeons at seeing tumors in scans.

• 36:19Speaker 00

  And surgeons are highly trained, highly educated people who have been doing this a while. Right? And AI is already better than, than them. So he said, well, let's take it 25 steps down the line. Does the AI decide it doesn't need humans anymore? Right? And that's, that's a, a risk. Um, runaway AI. I, I don't know how that all is going to play out because humans are, uh, are clearly going to build the AI and not worry too much about the potential downsides 20 years from now.

• 36:57Nathan Labenz?

  So if you were in charge, do you have any thought on what would be wise to do?

• 37:06Speaker 00

  The problem is, if you stop it, you stop all the productivity that's about to happen. So you sort of cripple your economy. And is China gonna stop it? No. No, they're gonna be very, very aggressive about using this. I, I asked a worker at VW, who VW has digitized their entire factory floor where they make cars. Right? And I was like, when are you gonna put a 3D sensor on the entire factory floor? Like camera, camera, camera, camera, camera. And have an AI watching the human and looking for patterns of how people work. Right? Looking for inefficiencies, looking for a part that.

• 37:50Speaker 00

  Took a little bit too long to get to the worker who puts it in the car, stuff like that. Oh, we can't do that in Germany. Why not? Oh, we have laws against recording employees. In China, they're already doing this. They don't have laws like this, right? To protect workers, privacy and stuff like that. So you're gonna see one country gets hyper, hyper productive. And one country falls behind. That's not good for the country that's falling behind. Right? Because all of a sudden, all the jobs goes to China, in which already has happened a lot, right? But even more, because they're better at making things for a cheaper price.

• 38:35Speaker 00

  Faster. Because they, they studied human behavior on the factory floor and reorganized the factory floor. I mean, this is what Elon's doing with Tesla. He's studying the factory floor every day. And looking for advantages to make his products faster and cheaper than anybody else's.

• 38:53Nathan Labenz?

  Yeah, the race dynamics, I think, are a real problem. And the, the US-China relationship and the sorry state of it also is just a... Because that's where everybody goes in this discussion right now. And, you know, I think, man, if we could just be a little bit more friendly with China, we might have a much better, you know, long-term AI safety governance discussion as well.

• 39:17Speaker 00

  They have 1.3 billion people. We have 380 million people. I know how AI works. The, the AI that has more data wins. Every single time it wins, usually. So that gives China a huge, huge advantage that we don't have. Now, if all the Western world all worked together and wasn't fighting with each other, you know, that'd be a better thing. But I don't know, the global politics is a whole nother discussion of how this would play out and, and work. But if you, if you ban an autonomous vehicle from your community because, because you're scared of jobs going away, for instance, like truck drivers are the one, number one job in America, right?

• 39:59Speaker 00

  1.3 million people work driving trucks around. Those jobs are going away. They're going away. Someday, you know, soon, fifteen years, five years.

• 40:12Nathan Labenz?

  Tell me about your FSD experience. You, it sounds like you're a regular user.

• 40:16Speaker 00

  It's upgrading this week too, by the way, and that's another major AI thing. We haven't even talked about. That's another one. It's coming on Saturday, right? It has like a little cherry on top of this week. It's just crazy AI, you know? Um, it's amazing. Every three months, Tesla owners get a major update. So how many more major updates do you need to prove to the world that this thing drives better than any human being? Not many. Four? That's a year. Twelve? That's three years. It already is better. I mean, it drives me from my house to Santa Cruz, which is a forty minute drive on curvy roads

• 40:58Speaker 00

  with walls on both sides of the road at fifty-five miles an hour, and it does just fine. It does better than me. It's smoother than me.

• 41:06Nathan Labenz?

  Yeah, I heard a little bit about that from a friend who works at Tesla and already has the like merged stacks. And they said, yeah, it's much more human-like even than when I took my test drive, you know, with them a month ago.

• 41:21Speaker 00

  Here's one. If a motorcycle is splitting lanes be behind you, right? And you're not watching the rear mirror, your Tesla will move over and let them by, right? That's human. And that's version eleven. It didn't do that in version, in the version that I currently have. So that kind of thing on version, on, on the new stack, uh, on, on the road to Santa Cruz, um, I came up to a bunch of stopped, um,

• 41:50Speaker 00

  emergency vehicles that were in my lane. My car went right around them like a human, right? Slowed down a little bit and then went, went, you know, signaled and went into the other lane and went right around them. With AI, it's not where are you today? It's how fast is it improving? Even ChatGPT, if you say, oh, I can't use it, it generates too much bullshit for my work, right? The code it, it, it writes is a little buggy. How many more updates do you need before it's perfect? I mean, and, and they're improving. I have a friend who, who's a computer vision expert and is really watching OpenAI. He said, every hour is changing. They're checking in code changes for the model to make it more accurate.

• 42:36Speaker 00

  And it, it's changing over time. So how, how many more months do we need to make it so perfect that everybody's like, I'm using that to write my everything. Right? I, I had a friend who said, oh, I use, I used to write code for a month. Now it takes an hour. Right? To do the same thing. And it's going to train new people. I mean, you can learn the code on it. Right? Hey, write me a Twilio API call that'll call, uh, uh, you know, X from my phone. Twilio is a service that does, uh, phone calls. It's underneath Uber. When you make a call to your driver on an Uber app, you're actually using Twilio, right? So the app developer made a Twilio API call

• 43:21Speaker 00

  and Twilio took care of the phone call and then it comes back to Uber. ChatGPT can write that and then ChatGPT can explain the code to you line by line. And explain what is it doing? And so now the human being, you know, like my 13 year old kid can learn how it all works. Can you explain how this thing works? Yeah, well, let's walk you through line by line. And it has a lot to pull up and teach you. Right? Same thing with German. Can you teach me how German works? Right? You want to learn how to speak German because you're going to Europe next week? You know? ChatGPT or Duolingo just added its own AI, which teaches you how to, how to, how to speak German, right?

• 44:06Speaker 00

  Welcome to change. Welcome to the exponential age.

• 44:09Nathan Labenz?

  Until we talk again, uh, where can our listeners find you?

• 44:14Speaker 00

  Twitter.

• 44:15Nathan Labenz?

  Robert Scoble, thank you very much for being part of the cognitive revolution. Ben Tossell, welcome to the Cognitive Revolution.

• 44:23Speaker 01

  Thanks for having me.

• 44:24Nathan Labenz?

  From what I understand, you are taking the leap and making Ben's Bites a full-time venture. So I'd love to just hear a little bit of like where you plan on taking it, you know, what, how you're thinking about developing it as a business.

• 44:38Speaker 01

  It's gone through some of those iterations already. The first two emails were editorial completely and I hated it and I was terrible at it. So I went to more of the curated, like, choose your own stuff. Like, when you read it, there's a lot of things on there, but it's just like a summary of what has happened today or yesterday in AI. So then you can pick what you're interested in. And the plan basically is, there's a gray space between non-technical people who are interested in AI, but are like, what do I do with it? Where do I go? What do I play with? What do I use day to day? And all of these questions where people are probably reading an article, hearing about it, and then it's like, well, what next?

• 45:21Speaker 01

  And I'm, I'm not trying to build something for very technical people in this space. I think there's loads of stuff going on there, which is awesome, and I want to support any of that, but it's more of a, what kind of space can we create in this area where I think there's probably the biggest amount of people? And I think there's loads of stuff we could do. And I know that's one of my problems is always thinking, oh, we should do that and that and that and that, and just keep adding stuff on. So we're trying to be a bit intentional about what that's going to look like. And I think we can grow the newsletter, but it's then, what are the interesting pieces that are coming out of that? Like, what interesting conversations are we having? What interesting questions am I having? How do we service those? Do we service them?

• 46:04Speaker 01

  Is there some way to, like, spin out a bunch of these single-use applications, like a little studio? Or is it more on just pumping out content and thinking about that side of things? And even investing and doing a fund around everything? There's, there's so many different ways. To explore it and what I'm doing is taking the leap so that I just can't explore everything and anything and look at everything and think, should this be what we do or is that something that is a distraction, it's not worth our time and we'll experiment with a bunch. Um, gonna try and build up a team of AI first people, employees and try to like make sure that that is

• 46:45Speaker 01

  used heavily because I want to sort of talk our own shop and actually try and give people an example of, oh, this is how we're using it.

• 46:52Nathan Labenz?

  What's going to win, right? Is it going to be the AI first, you know, kind of rethinking things from the ground up? Or is it going to be more of a AI as a layer that gets kind of added to everything and it becomes kind of a new way to interact? But the products that you interact with maybe don't change as much because they already do lots of useful things and now you can just kind of, you know, layer on this, this natural language mode of working with them. Do you have a position on that? And do you think that that's like evolving? Where are we in that moment as kind of, you know, we've seen certainly a proliferation of stuff, but now the incumbents seem to be coming back with their answer. What do you, who do you think is winning that battle right now?

• 47:35Speaker 01

  Originally, I would have thought, oh no, like AI first products will win, just that that's how I think it'll happen. And then I I'm changing my mind a bit to think, well, if I already work in Notion and Notion adds the AI capabilities of insert other tool that I'm using for those things. Uh, everyone should always want less tools. I don't need to use ten things when one thing will do. So I think it just becomes, AI will be in all of the big tools, all the big platforms, we're seeing them all move to push stuff out every single day. So I think that that's all, that's definitely going to change.

• 48:15Speaker 01

  But I do wonder how much of their market share could be eaten by these smaller tools who do take an AI first approach? Because then I think the details really matter on if you're a specific type of writer. If I'm a newsletter writer. Notion might work, but Notion's like a big tool to fit anyone. Whereas I might wanna really, really specific, I'm a newsletter writer. And I wanna have a specific tool that does this certain thing, which I think A I enables. And I think we'll see some big tools that are A I first, like if you think of education. Everything we know about education is someone tells you something, you're you're sort of sitting there consuming it. And then you go off and somehow replicate it or do the thing. Whereas if there was a case to say.

• 49:00Speaker 01

  Well, actually, like, teachers always tell you the working out is where the value is, so why not have your. Your challenge is to get to like prove this thing or figure out this thing. And actually, the work is just in you working with the A I and figuring out where. You're gathering information, putting that together, and it's just like a different, completely different way of. Learning than we would have been used to. I think things like that that will come up. That maybe don't feel obvious now, but in the A I, in the age of A I might. But I think the big thing is like what I was speaking about where. A I in a big incumbent. The thing that I don't know would work is how does that then trickle back through the organisation?

• 49:45Speaker 01

  Because if A I can do a lot of the stuff that the humans. The humans, I keep saying that, but it's like. I'm in this world now where I'm actually having to reference humans versus another thing. Um, but if the A I is actually pulling together reports, like helping summarize a bunch of stuff. Suggesting things to improve, like generating content, all of these things. Can't we see a world where a lot of these bigger companies have. Twenty percent of the actual headcount that they need. Lots of them always go through these layoff cycles. Um, I just wonder what impact that will have here. I I think it's definitely plausible.

• 50:25Nathan Labenz?

  Could you give any examples of? Incumbents that you think have done either a particularly good or particularly underwhelming job of integrating into, in- integrating AI into their existing product flow?

• 50:39Speaker 01

  I mean, bizarrely, Microsoft is the one that everyone seems to be looking at as like, oh yeah, this is doing great stuff. It's actually shipping something. So I think that's, that's a good example of people being able to use products in a big, big way. But I, like many people, don't use the Office products and Microsoft products that much. So I'm waiting for the Google version and the Google version has like not come. It's just there, but it's behind a waiting list and everything else and a research paper and all the rest of it. So that feels like a flop to me and it feels like Google had enough people thinking about this for enough amount of time that they really should have been able to like ship something at least,

• 51:21Speaker 01

  at least a lot quicker than they are now. But I think actually ChatSpot by HubSpot, I know Damesh, the, one of the founders, like he's been noodling on stuff and he loves doing that. And I think, I don't even use HubSpot, but the example of that just saying like, oh, can you find some leads for me? Oh, let's follow up with an email to that lead. How many, like, where was the sales I had for this thing? And it's just a way of talking to your data. But it gives you a visual like example of, oh yeah, I get those use cases and I can, I can, it like translate that use case for mine quite easily. So I think th- those are three fairly big companies that I think are doing, are doing a good, poor, best job.

• 52:05Nathan Labenz?

  It's interesting that you describe Google as kind of poor and yet as into this as you are, it doesn't sound like the Microsoft suite of tools is enough to get you to change your whole productivity suite. So does that translate in your mind to kind of evidence that the incumbents are going to win? Like if you're not switching, who's going to switch, you know, from Google? And I'm in the same boat, by the way, like.

• 52:30Speaker 01

  There's some level of, well, all my stuff's there. So yeah, I'm kind of reluctant to up and change my whole workflow when I, I know I can see where in a few months' time, those Google Workspace stuff, that's going to roll out and it's going to be more or less the same as the Microsoft stuff. It's not a unique. Take on what that thing needs to do for me. But the basic foundation of that tool, I prefer the Google version than the Microsoft version. Currently, I'll have to say currently now. But that's, yeah, I think it must be, it's just like an easy, an easy of use and it's until. AI really creeps into your day to day and you're stuck in those habits of I use this thing to do those things.

• 53:16Speaker 01

  I don't know, the switching cost seems. A, a, a big one for, um, for those kinds of products. I mean, I am, I've stopped using Google search. For as much as possible, that's had to be like a. An actual choice that I'm remembering that I'm making. I mean, it's easy to switch the default browser and things like that. So that's not so bad, but like knowing that I'm searching something, it's actually, I'm using neither for the search. But actually, if I'm trying to find out something, I'll use chat G P T. So I'm trying to do that. But I mean, that's a behavior that I'm. Willing to do where my parents are not ever like, they're not going to be thinking about that for a long time. They're going to be wanting. The thing to be good, be there and be what they know and know how to use it. So.

• 54:02Speaker 01

  Yeah, it is interesting to see the, how much will it take for someone to flock from one big product that they actually use all the time and ingrained in their life to another?

• 54:11Nathan Labenz?

  Yeah, even the browser, I've also been kind of reluctant to change. Like I, I have the new. You know, Microsoft Edge and the Dev Edition and, you know, have the new Bing Access and I do. Flip over to Edge to use the new Bing chat and search and it's kind of, you know, native environment. But still, again, I have not gone as far as saying, all right, I gotta move. All my, you know, I got LastPass attached to Chrome and so all my sign-ins are there and my history is there and I'm like, well, how much of this do I want to move and? You know, maybe I just. You start using Bing in Chrome or, you know, I don't know. And there's obviously going to be a Chrome version too, as you say. So. I think that's a, a challenge that a lot of people are.

• 54:56Nathan Labenz?

  Wrestling with right now. It's good to know that you also are, uh, are wrestling with it and not, you know, chasing every, every new product. Flipping over to the the new stuff. What you know, one thing I've been struck by in doing these interviews and talking to people that really are building the future is when I ask them what AI tools they use on a daily basis, most of them cite very few things and it's usually chat GPT is kind of the the core thing. And now we've obviously recently we're on recording today on GPT four plus seven, which is how I'm now thinking about the the calendar with the new zero date.

• 55:37Nathan Labenz?

  But it seems like, you know, the constant improvement of the core models and that core experience now up to and including GPT four for subscribers anyway, does put a lot of pressure on, you know, what you might call thin wrapper products or kind of clever, you know, but minimal use cases that, you know, that kind of package up the GPT in a in a certain way. What are you seeing in the new product category in this sort of AI first paradigm that you feel like is breaking through, you know, as measured either by a consistent place in your day to day workflow, or just something that you think is like, you know, different enough and kind of going to be here in a while?

• 56:20Speaker 01

  I'm actually in the camp where I don't use that many AI tools, which might surprise a lot of people. But I mean, it's not because I don't want to, but it's the same thing as we mentioned before, where I need the AI tool to be where I am working or where I'm used to working or how I like working, like to upend and change all of that takes a lot of doing and takes a lot of like remembering to do that. And, and then you're always looking at, is this trade off worth it? And all that sort of stuff. So, I mean, the things that I use, I use barely.ai, which is a Chrome extension that is always like floating around on my browser screen. And I'm not using Chrome, I'm using the Arc browser. So I'm trying to do some different stuff there.

• 57:04Speaker 01

  But that's always just there, so it's like a click away for when I'm including articles, reading up stuff. I'm consuming a lot of content every day, so I use that to summarise things and pull things out where I can use that for the newsletter. I'm not a developer, so a lot of these dev tools seem to be just sitting there, sort of dangling a carrot of, oh, if you had learned to code back in those days when you said you were never going to, you might know what to do here. So I find that like funny and I do want to do some more stuff there, because I try and play with like Replit and the Ghostwriter and stuff like that, and I only can get so far. Readwise, I have for collecting lots of links and that, like helping me with the text to speech stuff, I'm using that quite a lot.

• 57:48Speaker 01

  There's not a whole lot of tools that I'm using every single day, like you, I'll, I know that some of these tools are, they're wrappers on top of OpenAI or whatever model they're running. But a lot of them are really good for like one use case. So if it's like, oh, I've got a health question, I'm seeing people talk about magnesium, something to help you sleep. I'm like, right, I can go and search Neva or Google or Perplexity or anything else, or I can go and find one of those Andrew Huberman podcast chatbots and see like, he must have spoken about this somewhere.

• 58:25Speaker 01

  Let me just search that and find out, okay, like from someone I sort of trust and can validate knows what they're talking about, what were they saying? And I'm finding that behaviour interesting, where I think

• 58:40Speaker 01

  lots of these, lots of tools nowadays are sort of all in one, everything comes in one place, but like, I don't know why it needs to be that, if there's very specific, like I've got my own like little AI legal bot, that every time I've got a legal question, instead of pinging my dad about everything, I'm just like, I'll just ask that, or if there's like a little accountant bot that I've got that knows my finances and have very specific use cases, I think, I think we'll see a lot more of that, and I think eventually we'll have. An idea for I want my own legal assistant and then you could have AI create the code and then just deploy it on your machine and then you're like, okay, that whole thing was was no code because I didn't write anything, but it was deployed and created by AI and you could start

• 59:24Speaker 01

  training it that way. I think we'll see a lot of those. So yeah, it feels like there'll be a lot of individual tools around in this space.

• 59:32Nathan Labenz?

  Yeah, you mentioned Replit and we've had Amjad on the show once talking about all the things that they're working on. It does seem like this notion of kind of disposable software or like single use applications is coming at us also very quickly and and likely to be a kind of transformative paradigm because now you can just kind of speak little mini apps into existence to solve your problems as you encounter them and you know, just move on. You don't really have to worry about maintaining that code. You don't really have to worry about, you know, how it works or edge, you know, case testing all that much. Like it just needs to do what you needed to do right in the moment and then you can kind of throw the whole thing away. So that's

• 1:00:14Nathan Labenz?

  really interesting and I'm experimenting with that. I think for me, the number one use case is code generation. You know, I can code, but man, it can code faster and better than me in most cases. So it's really a huge unlock in that respect. Ben Tassel, thank you so much for being part of the cognitive revolution.

• 1:00:35Speaker 01

  Appreciate it. Yeah, thanks a lot.