Podcast appearances and mentions of Sam Altman

The panel discusses CES 2025 How Watch Duty's wildfire tracking app became a crucial lifeline for LA Worst in Show awards 2025 Aaron Swartz v Sam Altman We've not been trained for this: life after the Newag DRM disclosure All the Meta stuff (fact checking, etc.) Heritage Foundation plans to 'identify and target' Wikipedia editors The Government Wants to Protect Robux From Hackers Twitch Streamers Come Home After Big-Money Contracts at Rivals Dried Up Candy Crush, Tinder, MyFitnessPal: See the Thousands of Apps Hijacked to Spy on Your Location Host: Leo Laporte Guests: Nicholas De Leon, Fr. Robert Ballecer, SJ, and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: coda.io/twit expressvpn.com/twit threatlocker.com for This Week in Tech uscloud.com bitwarden.com/twit

Feeling like life's demands have you tied up in knots while your financial future seems like a moving target? Time to take charge! Today in the basement, Anthony O'Neill pulls up a chair and shows you how to claim the head seat at your own table. He breaks down the power of having a personal vision, making intentional decisions that align with your goals, and being a stellar steward of your time and opportunities. But that's not all—we're looking ahead with some of the biggest names in tech. What do Bill Gates, Sam Altman, and other visionaries think 2025 will bring? (Spoiler alert: AI isn't just for sci-fi anymore.) We'll chat about how these changes will impact your work life and share some practical steps to stay ahead. And because life isn't just about finances, the crew wraps things up with their latest binge-worthy TV and movie picks. It's time to stack your entertainment queue as high as your Benjamins. What's Inside This Episode

Shervin Pishevar is a serial entrepreneur and investor. Shervin is famed for leading Uber's Series B at Menlo alongside leading Warby Parker's Series A and investing in Tumblr, all in just 18 months at Menlo. Following Menlo, Shervin co-founded Sherpa Capital and today Shervin is averaging over 73x on his investments. As an angel investor, Shervin made over 100 investments in the likes of Dollar Shave Club, Postmates, Facebook and more.  In Today's Episode with Shervin Pishevar: 08:09 Meeting Travis Kalanick: The Start of a Game-Changing Partnership 11:08 The Uber Series B: Securing a Billion-Dollar Deal 12:49 The Rise of Uber: Global Expansion and Strategic Moves 19:01 The Lyft Rivalry: Missed Opportunities and Lessons Learned 20:57 Recruiting Emil Michael: Building a Strong Leadership Team 24:29 Uber China: The Challenges and Triumphs 27:19 The $15 Billion Raise: Fueling Uber's Global Dominance 30:57 The Beginning of the End: Betrayal by Benchmark 35:33 Sam Altman's Coup and Lessons from the Past 36:22 The Uber War: Legal Battles and Boardroom Drama 37:36 Fusion GPS and Fabricated Reports 39:43 The Me Too Movement and Its Impact 40:51 The SoftBank Investment and Leadership Changes 41:29 The Downfall of Uber's Visionaries 51:09 The Future of Venture Capital 57:01 Quantum Computing and AI: The Next Frontier      

The panel discusses CES 2025 How Watch Duty's wildfire tracking app became a crucial lifeline for LA Worst in Show awards 2025 Aaron Swartz v Sam Altman We've not been trained for this: life after the Newag DRM disclosure All the Meta stuff (fact checking, etc.) Heritage Foundation plans to 'identify and target' Wikipedia editors The Government Wants to Protect Robux From Hackers Twitch Streamers Come Home After Big-Money Contracts at Rivals Dried Up Candy Crush, Tinder, MyFitnessPal: See the Thousands of Apps Hijacked to Spy on Your Location Host: Leo Laporte Guests: Nicholas De Leon, Fr. Robert Ballecer, SJ, and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: coda.io/twit expressvpn.com/twit threatlocker.com for This Week in Tech uscloud.com bitwarden.com/twit

The panel discusses CES 2025 How Watch Duty's wildfire tracking app became a crucial lifeline for LA Worst in Show awards 2025 Aaron Swartz v Sam Altman We've not been trained for this: life after the Newag DRM disclosure All the Meta stuff (fact checking, etc.) Heritage Foundation plans to 'identify and target' Wikipedia editors The Government Wants to Protect Robux From Hackers Twitch Streamers Come Home After Big-Money Contracts at Rivals Dried Up Candy Crush, Tinder, MyFitnessPal: See the Thousands of Apps Hijacked to Spy on Your Location Host: Leo Laporte Guests: Nicholas De Leon, Fr. Robert Ballecer, SJ, and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: coda.io/twit expressvpn.com/twit threatlocker.com for This Week in Tech uscloud.com bitwarden.com/twit

The panel discusses CES 2025 How Watch Duty's wildfire tracking app became a crucial lifeline for LA Worst in Show awards 2025 Aaron Swartz v Sam Altman We've not been trained for this: life after the Newag DRM disclosure All the Meta stuff (fact checking, etc.) Heritage Foundation plans to 'identify and target' Wikipedia editors The Government Wants to Protect Robux From Hackers Twitch Streamers Come Home After Big-Money Contracts at Rivals Dried Up Candy Crush, Tinder, MyFitnessPal: See the Thousands of Apps Hijacked to Spy on Your Location Host: Leo Laporte Guests: Nicholas De Leon, Fr. Robert Ballecer, SJ, and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: coda.io/twit expressvpn.com/twit threatlocker.com for This Week in Tech uscloud.com bitwarden.com/twit

The panel discusses CES 2025 How Watch Duty's wildfire tracking app became a crucial lifeline for LA Worst in Show awards 2025 Aaron Swartz v Sam Altman We've not been trained for this: life after the Newag DRM disclosure All the Meta stuff (fact checking, etc.) Heritage Foundation plans to 'identify and target' Wikipedia editors The Government Wants to Protect Robux From Hackers Twitch Streamers Come Home After Big-Money Contracts at Rivals Dried Up Candy Crush, Tinder, MyFitnessPal: See the Thousands of Apps Hijacked to Spy on Your Location Host: Leo Laporte Guests: Nicholas De Leon, Fr. Robert Ballecer, SJ, and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: coda.io/twit expressvpn.com/twit threatlocker.com for This Week in Tech uscloud.com bitwarden.com/twit

What will 2025 bring? Sam Altman says AGI is coming in 2025. Agents will arrive for sure. Military use will expand greatly. Will we get a warning shot? Will we survive the year? In Episode #57, host John Sherman interviews AI Safety Research Engineer Max Winga about the latest in AI advances and risks and the year to come. FOR HUMANITY MONTHLY DONATION SUBSCRIPTION LINKS: $1 MONTH https://buy.stripe.com/7sI3cje3x2Zk9SodQT $10 MONTH https://buy.stripe.com/5kAbIP9Nh0Rc4y46oo $25 MONTH https://buy.stripe.com/3cs9AHf7B9nIggM4gh $100 MONTH https://buy.stripe.com/aEU007bVp7fAfcI5km Anthropic Alignment Faking Video:https://www.youtube.com/watch?v=9eXV64O2Xp8&t=1s Neil DeGrasse Tyson Video: https://www.youtube.com/watch?v=JRQDc55Aido&t=579s Max Winga's Amazing Speech:https://www.youtube.com/watch?v=kDcPW5WtD58 Get Involved! EMAIL JOHN: forhumanitypodcast@gmail.com SUPPORT PAUSE AI: https://pauseai.info/ SUPPORT STOP AI: https://www.stopai.info/about Check out our partner channel: Lethal Intelligence AI Lethal Intelligence AI - Home https://lethalintelligence.ai SUBSCRIBE TO LIRON SHAPIRA'S DOOM DEBATES on YOUTUBE!! https://www.youtube.com/@DoomDebates BUY STEPHEN HANSON'S BEAUTIFUL AI RISK BOOK!!! https://stephenhansonart.bigcartel.com/product/the-entity-i-couldn-t-fathom 22 Word Statement from Center for AI Safety Statement on AI Risk | CAIS https://www.safe.ai/work/statement-on-ai-risk Best Account on Twitter: AI Notkilleveryoneism Memes https://twitter.com/AISafetyMemes

The panel discusses CES 2025 How Watch Duty's wildfire tracking app became a crucial lifeline for LA Worst in Show awards 2025 Aaron Swartz v Sam Altman We've not been trained for this: life after the Newag DRM disclosure All the Meta stuff (fact checking, etc.) Heritage Foundation plans to 'identify and target' Wikipedia editors The Government Wants to Protect Robux From Hackers Twitch Streamers Come Home After Big-Money Contracts at Rivals Dried Up Candy Crush, Tinder, MyFitnessPal: See the Thousands of Apps Hijacked to Spy on Your Location Host: Leo Laporte Guests: Nicholas De Leon, Fr. Robert Ballecer, SJ, and Cory Doctorow Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: coda.io/twit expressvpn.com/twit threatlocker.com for This Week in Tech uscloud.com bitwarden.com/twit

Mark Zuckerberg, der CEO von Meta – der Firma hinter Facebook, Instagram und Threads – schafft professionelle Faktenchecks ab.Diese seien zu politisch, begründete er den Schritt. Die Plattformen dürften sich also in die Richtung von Elon Musks X entwickeln, wo sich im Namen der Meinungsfreiheit auch Desinformation und Hate Speech verbreiten.Zuckerbergs Ankündigung erscheint kurz vor dem Amtsantritt von Donald Trump am 20. Januar. Er ist einer von vielen US-Tech-Unternehmer, die sich dem politischen Kurs des neuen Präsidenten anpassen. Während Elon Musk Trump schon länger unterstützt, äusserten Jeff Bezos von Amazon, Sundar Pichai von Google, Tim Cook von Apple oder Sam Altman von OpenAi, der Firma hinter ChatGPT, sich früher deutlich kritischer. Unterdessen haben sie alle für die Inauguration gespendet, Trump zum Teil Unterstützung zugesagt oder ihn in Mar-a-Lago besucht.Was bedeutet dieser Wandel für die politische Öffentlichkeit in den USA und in Europa? Welche Rolle spielt Big Tech in der kommenden Präsidentschaft? Und was wird sich bei der Nutzung der Plattformen verändern? Darüber spricht USA-Korrespondent Fabian Fellmann in einer neuen Folge des täglichen Podcasts «Apropos».Host: Mirja GabathulerProduktion: Laura BachmannMehr zum Thema:Zuckerberg schwenkt auf Trumps Linie ein  Unser Tagi-Spezialangebot für Podcast-Hörer:innen: tagiabo.chHabt ihr Feedback, Ideen oder Kritik zu «Apropos»? Schreibt uns an podcasts@tamedia.ch

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 04/01 a 10/01.

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 04/01 a 10/01.

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) Sam Altman declares the path to AGI is clear 2) Could AGI come before GPT-5? 3) Up next: Superintelligence 4) Anthropic raising $2 billion 5) NVIDIA says robotics is a multi-trillion opportunity 6) NVIDIA has a personal 'supercomputer' 7) Smarter NPCs are here 8) Meta's AI training copyright issues 9) Zuckerberg's fact check reality check 10) Motives of Zuckerberg's moderation moves 11) TikTok ban might actually happen 12) Alex's visit to China --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Want a discount for Big Technology on Substack? Here's 40% off for the first year: https://tinyurl.com/bigtechnology Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Is AGI right around the corner? Sam Altman thinks so. Mark Zuckerberg decides to get rid of fact-checkers at Meta, at least for the USA. And what does it take to put data centres in space? Hosted on Acast. See acast.com/privacy for more information.

This week we learned that Meta is dropping third-party fact-checking, the Amazon founder, Jeff Bezos, spiked a cartoon that made fun of him and other tech leaders kneeling before a statue of Donald Trump, and just about all the big Silicon Valley companies are donating $1m to Trump's inauguration fund. Jonathan Freedland and Blake Montgomery look at who will hold the power between big tech and the White House over the next four years

What's the most exciting CES AI announcement? In episode 37 of Mixture of Experts, host Tim Hwang is joined by Skyler Speakman, Volkmar Uhlig and Shobhit Varshney to debrief CES 2025. Specifically, the experts dive into NVIDIA'S Project DIGITS, among other announcements from the AI hardware giant. Next, a new enterprise AI development survey came out that detailing how developers really feel about AI implementation. Then, Apple Intelligence experienced some major hallucination fails, what does this tell us about Apple's stake in the AI game? Finally, Sam Altman of OpenAI released a reflection blog, what does he say about the future of AI? All that and more on today's Mixture of Experts.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Hey everyone, Alex here

Americans have been spending more time alone—and less time doing face-to-face socializing—than we have for at least 60 years. And our alone time is impacting the economy, our politics, and our personalities, particularly among young people. Meanwhile, the fires in Los Angeles are a heartbreaking reminder that the California landscape was meant to burn—and it will keep happening whether we like it or not. Plus, the mystery around the sister of Sam Altman.   Derek Thompson and Liz Weil join Tim Miller. show notes Derek's piece, "The Anti-Social Century" Derek's forthcoming book with Ezra Klein, "Abundance" Arlie Russell Hochschild's book, "Strangers in Their Own Land," referenced by Derek Hochschild's "Stolen Pride: Loss, Shame, and the Rise of the Right" "Palaces for the People" book Derek mentioned Liz's ProPublica piece on megafires Liz's piece, "This Isn't the California I Married" Liz's reporting on Sam Altman's sister, Annie 

At least five people are dead as destructive wildfires rip through LA County. Experts say climate change primed California for these catastrophic blazes. A state funeral will be held today for former President Jimmy Carter. President-elect Donald Trump is putting pressure on Congress to pass his agenda quickly. And, OpenAI CEO Sam Altman is denying that he sexually abused his sister. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AGI is coming in 2025 or at least that's what OpenAI's Sam Altman thinks. Plus, huge announcements from NVIDIA at CES & hands on with Google's VEO 2. AND OpenAI's Operator (aka their AI Agents) might come soon, DeekSeek V3 is pretty darn good, Meta makes a big mistake with their AI personalities, Minimax's new subject reference tool, METAGENE-1 might help us stave off disease, and all the robot vaccum news you could ever want. Oh, and Kevin is sick. BUT HE'S GOING TO BE FINE. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // SHOW LINKS // Sam Altman Blog Post: https://blog.samaltman.com/reflections Head of OAI “Mission Alignment” warns to take AGI seriously: https://x.com/jachiam0/status/1875790261722477025 OpenAI Agents Launching This Month? https://www.theinformation.com/articles/why-openai-is-taking-so-long-to-launch-agents?rc=c3oojq Satya Nadella says AI scaling laws are “Moore's Law at work again” https://x.com/tsarnick/status/1876738332798951592 Derek Thompson Plain English https://www.theringer.com/podcasts/plain-english-with-derek-thompson/2025/01/07/the-big-2025-economy-forecast-ai-and-big-tech-nuclears-renaissance-trump-vs-china-and-whats-eating-europe Digits: $3k Supercomputer https://www.theverge.com/2025/1/6/24337530/nvidia-ces-digits-super-computer-ai New GFX Cards including 2k 5090 https://www.theverge.com/2025/1/6/24337396/nvidia-rtx-5080-5090-5070-ti-5070-price-release-date Cosmos World nVidia World Model https://x.com/rowancheung/status/1876565946124341635 DeepSeek 3 Crushes Open Source Benchmarks https://www.msn.com/en-us/news/technology/deepseek-s-new-ai-model-appears-to-be-one-of-the-best-open-challengers-yet/ar-AA1wxkSg?ocid=TobArticle Oopsie File: Meta Deletes AI Characters After Backlash https://www.cnn.com/2025/01/03/business/meta-ai-accounts-instagram-facebook/index.html Minimax Subject Reference https://x.com/madpencil_/status/1876289286783615473 Famous Science Rappers https://youtu.be/B56rwm2sn7w?si=hD1ankVpWvALHAN5 Science Corner: METAGENE-1 https://x.com/PrimeIntellect/status/1876314809798729829 HeyGen Works With Sora -- VERY Good LipSync https://x.com/joshua_xu_/status/1876707348686995605 GameStop of Thrones https://www.reddit.com/r/aivideo/comments/1htvzzc/gamestop_of_thrones/ Simulation Clicker (not sure this is AI as much) https://x.com/nealagarwal/status/1876292865929683020 Torso 2 In the Kitchen https://x.com/clonerobotics/status/1876732633771548673 Roborock's Saros Z70 https://x.com/rowancheung/status/1876565471887085772 Halliday Smart Glasses https://x.com/Halliday_Global/status/1871571904194371863  

In this episode, Carol Schultz and Rob Swymer dissect the public feud over employee compensation between tech billionaires Sam Altman of OpenAI and Elon Musk of xAI, with Musk suing OpenAI while accusing Altman of compensating employees with “lavish” salaries in an attempt to starve out the competition. Carol and Rob unpack the deeper issues behind the feud. Does it come down to dollars and cents or leadership styles? As two longtime corporate leaders themselves, Carol and Rob draw upon their decades of experience to share insights on motivating and engaging employees. We'll give you a hint: it's not only about the money. Find more information about our host Carol Schultz and her company at Vertical Elevation, LinkedIn, and YouTube. Find more information about our cohost Rob Swymer and his company at Rob Swymer, Linkedin, Facebook, and Instagram. And of course, click "follow" to stay up-to-date on new episodes and leave an honest review/rating letting us know what you thought!

Meta is continuing to overhaul its moderation and content rules. Instagram head Adam Mosseri posted today that Instagram and Threads will start including political content in recommendations. It's a reversal from the policy the two platforms adopted last year, which made political content something users had to choose if they wanted to see.  Also, Google knows a lot about you and your interests, and it uses that information to try and get more of your time and attention. A new Search Labs experiment called "Daily Listen," for instance, can turn your Discover feed into a professional podcast. Annie Altman, the sister of OpenAI founder and CEO Sam Altman, has sued her brother accusing him of sexually assaulting her when she was a minor. In a complaint filed this week with a Missouri federal court, Annie Altman alleges her older brother committed “numerous acts of rape, sexual assault, sexual abuse, molestation, sodomy, and battery” from 1997 to 2006, with the abuse starting when she was only three years old. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We're experimenting and would love to hear from you!In this episode of Discover Daily, we explore groundbreaking developments in AI and energy sectors that are reshaping our technological landscape. OpenAI's dramatic shift towards superintelligence development, following their recent governance crisis and controversial move to a for-profit structure, signals a new chapter in artificial intelligence. CEO Sam Altman's vision of AI agents joining the workforce by 2025 presents both opportunities and challenges for the future of work.The U.S. government's historic $840 million nuclear power contract with Constellation marks a significant step towards sustainable energy solutions for AI operations. This landmark deal, providing carbon-free electricity to federal agencies, aligns with the Biden administration's ambitious goal to triple nuclear energy capacity by 2050, addressing the growing energy demands of AI technologies and data centers.The spotlight turns to Nvidia's revolutionary Project Digits, a $3,000 personal AI supercomputer that promises to democratize access to advanced AI computing. This compact powerhouse, featuring the GB10 Grace Blackwell Superchip, can handle AI models with up to 200 billion parameters and delivers petaflop-level performance. The device represents a significant milestone in making enterprise-level AI capabilities accessible to individual researchers, developers, and students, potentially accelerating innovation across various fields.From Perplexity's Discover Feed: https://www.perplexity.ai/page/sam-altman-on-ai-superintellig-iwrC9AOiRzWRXh1biDIBjghttps://www.perplexity.ai/page/u-s-buys-nuclear-power-fJy30shqQ9WWRHDTHoGwGQhttps://www.perplexity.ai/page/nvidia-s-personal-ai-supercomp-P6XoMgE8SxGbkXv.jjsFdgPerplexity is the fastest and most powerful way to search the web. Perplexity crawls the web and curates the most relevant and up-to-date sources (from academic papers to Reddit threads) to create the perfect response to any question or topic you're interested in. Take the world's knowledge with you anywhere. Available on iOS and Android Join our growing Discord community for the latest updates and exclusive content. Follow us on: Instagram Threads X (Twitter) YouTube Linkedin

Get more notes at https://podcastnotes.org Live Below Your Means For Freedom (Listen) Episode 6* “People who are living far below their means enjoy a freedom that people busy upgrading their lifestyle just can't fathom” – Naval Ravikant* Once you start making money, keep living like your old/poorer self* When you upgrade your life as you make more money, you just stay in the “wage slave trap”* Nassim Taleb has said – “The most dangerous things are heroin and a monthly salary”* They're both highly addictive* One reason the very high marginal tax rates for the so-called wealthy are flawed:* For many people, they toil/work extremely hard for decades, and then it finally pays off with a massive payday* “Then of course Uncle Sam shows up, and basically says, ‘Hey, you know what, you just made a lot of money this year. Therefore, you're rich. Therefore, you're evil and you've got to hand it all over to us.' So, it just destroys those kinds of creative risk-taking professions.” – Naval RavikantGive Society What it Doesn't Know How to Get (Listen) | Episode 7* Get rich by giving society what it doesn't yet know how to get – at scale* Money is like an IOU from society for something you did good in the past, that you can use in the future* “Society always wants new things and if you want to be wealthy, figure out which one of those things you can provide for society that it does not yet know how to get, but it will want, that's natural to you and within your capabilities. And then you have to figure out how to scale it.” – Naval Ravikant* Creations start as just an act of creativity* Then, for a little while, only rich people have it (like a chauffeur)* Then it makes its way to everyone (like Uber)* “Entrepreneurship is essentially an act of creating something new from scratch, predicting that society will want it, and then figuring out how to scale it and get it to everybody in a profitable and self-sustaining way.” – Naval RavikantThe Internet Has Massively Broadened Career Possibilities (Listen) | Episode 8* “The internet has massively broadened the possible space of careers. Most people haven't figured this out yet.” – Naval Ravikant* The internet connects everyone on the planet* This means that you can find an audience for your product/service no matter how far away they are* “The internet allows any niche obsession…from people who collect snakes to people who like to ride hot air balloons to people who like to sail around the world by themselves…whatever nice obsession you have, the internet allows you to scale.” – Naval Ravikant* “If you want to reach 50,000 passionate people like you, there's an audience out there for you”* “Each person on Earth has different interests and obsessions, and it's that diversity that becomes a creative superpower” – Naval Ravikant* Before the internet – this didn't really matter* Your town/village didn't necessarily need your unique creative skill* But now – you can go out on the internet and find your audience and utilize that to build wealth* The space of careers has been broadened -Examples:* People are now able to upload videos to Youtube to make a living – this wasn't possible 50 years ago* Professional bloggers* Podcasters – Joe Rogan makes about $100 million per year from his podcast alone* “The internet enables any niche interest, as long as you're the best at it, to scale-out” – Naval Ravikant* Because every human is different, everyone is the best at something* “Escape competition through authenticity” – Naval Ravikant* Just do your own thing – “No one can compete with you on being you”* “The more authentic you are, the less competition you're gonna have”Play Long-term Games With Long-term People (Listen) | Episode 9* “All the benefits in life come from compound interest” – Naval Ravikant* Whether it's in relationships, life, your career, health, or learning* Long-term games are good for both compound interest AND trust* If you want to be successful, more likely than not, you'll need to work with other people* You'll need to figure out who you can trust over a long period of time, so you can keep working with them so that eventually compound interest will let you collect the major rewards* If you keep switching careers/networks – compound interest can't take effect* Add to that – you won't know who to trust and your new network won't know to trust you* “It's important to pick an industry where you can play long-term games with long-term people” – Naval Ravikant* A good analogy:* In a long-term game, everyone is making each other rich* It's positive-sum* In a short-term game, everyone is making themselves richPick Partners With Intelligence, Energy and Integrity (Listen) | Episode 10* Pick people to work with who have high intelligence, high energy, and high integrity – you CANNOT compromise on this* The world is full of smart/lazy people – this is why high energy is important* But high integrity is the most important* Otherwise, you just have a smart/hardworking crook who will eventually cheat you* How do you figure out if someone has good integrity?* Read signals* “Signals are what people do, despite what they say” – Naval Ravikant* If someone treats a waiter badly, it's only a matter of time before they treat you badly* Another tip – Find people to work with who seem irrationally ethical* “Self-esteem is the reputation that you have with yourself” – Naval Ravikant* Good/ethical/reliable people tend to have high self-esteem because they have good reputations with themselves* “Generally, the more someone is saying that they're moral, and ethical, and high integrity, the less likely they are to be that way” – Naval Ravikant* Similarly – “If you openly talk about how honest, and reliable, and trustworthy you are, you're probably not that honest and trustworthy”* Sam Altman has said – “One of the important things for delegation is to delegate to people who are actually good at the thing that you want them to do”* “I almost won't start a company, or hire a person, or work with somebody if I just don't think they're into what I want them to do” – Naval Ravikant* “If you're trying to keep someone motivated for the long term, that motivation has to come intrinsically” – Naval RavikantPartner With Rational Optimists (Listen) | Episode 11* Don't partner with pessimists* Avoid them* To create great things, you have to be a rational optimist* Rational in the way you see the world* Optimistic in your capabilities* “All of the really successful people I know have a really strong action bias. They just do things.” – Naval Ravikant* The easiest way to figure out if something is viable or not is by doing it* “You've got one life on this planet. Why not try to build something big?” – Naval Ravikant* But do know that it takes a lot of effort to build even small things* “I don't think the corner grocery store owner is working any less hard than Elon Musk“ – Naval Ravikant* Think BIG – but be rational about it* Being an irrational optimist > being a rational cynic* If you think about it, we're descended from pessimists* If two people were in a forest 10,000 years ago, and they hear a tiger – the optimist doesn't run and ends up getting eaten, while the pessimist books it and survives* “We're genetically wired to be pessimists, but modern society is far, far safer” – Naval Ravikant* “It made sense to be pessimistic in the past, but it makes sense to be an optimist today”* In society today, we're dealing with situations which have limited downside and unlimited upside* Just think – if you build the next Tesla or SpaceX you can create billions of dollars of value for society (and yourself)* If you fail, so what? A few investors lose money and you're right back to where you started.Arm Yourself With Specific Knowledge (Listen) | Episode 12* “We have this idea that everything can be taught…..everything can be taught in school. And it's not true that everything can be taught. In fact, the most interesting things cannot be taught. But everything can be learned.” – Naval Ravikant* Specific knowledge is the knowledge that you care most about* You can't be trained for specific knowledge* If it were possible to be trained for it – then someone else could be trained for it too* You'd then be extremely replaceable – by other humans and eventually robots* How do you discover your specific knowledge?* “Specific knowledge is found by pursuing your innate talents, your genuine curiosity, and your passion” – Naval Ravikant* “If you're not 100% into it, then someone else who is 100% into it will outperform you”* Look back on your own life and see what you're uniquely good at* Specific knowledge is the stuff that feels like play to you but looks like work to othersSpecific Knowledge is Highly Creative or Technical (Listen) | Episode 13* Warren Buffet once went to Benjamin Graham, author of The Intelligent Investor, and offered to work for him for free so he could learn about investing* Benjamin told him – “Actually you're overpriced. Free is overpriced.”* Apprenticeships are VALUABLE – if specific knowledge can somehow be taught, this is how* Specific knowledge tends to be highly technical or creative – on the bleeding edge of art, communication, or tech* An example of specific knowledge – what Scott Adams, the creator of Dilbert, has done with his career* He's essentially becoming one of the most credible people in the world by making persuasive arguments and videos on Periscope* What he does will NEVER be automated* Specific knowledge can only be built by spending lots of time doing whatever you're obsessed/interested in* It can't be taught in a book or course* Career Advice – Aim to get in the 10-25th percentile of 2-3 things and then combine them instead of trying to be the very best at only one thing* Scott Adams originated this idea in this blog post* For example: Become a very good writer and knowledgeable about finance – then write about finance* Double down on what you're a “natural” at* Everyone is a natural at something* “Take the things that you are natural at and combine them so that you automatically, just through sheer interest and enjoyment, end up top in the top 25% or top 10% or top 5% at a number of things.” – Naval RavikantLearn to Sell, Learn to Build – You Will Be Unstoppable (Listen) | Episode 14* “Learn to sell, learn to build, if you can do both, you will be unstoppable.” – Naval Ravikant* Every business has someone who's building/trying to grow it* Then there's sales* But selling can mean marketing, communicating, recruiting, raising money, inspiring people, or doing PR* The great companies have a killer combo of builder + seller* Example – Apple (Steve Jobs and Steve Wozniak)* Venture investors look for this combo whenever possible* If you can BOTH build and sell – it's a superpower* Someone like Elon Musk or Marc Andreessen* “The real giants in any field are the people who can both build and sell” – Naval Ravikant* “Long term, people who understand the underlying product and how to build it and can sell it, these are catnip to investors. These people can break down walls if they have enough energy, and they can get almost anything done.” – Naval Ravikant* It's much more difficult for someone skilled in selling to pick up the building skill than vice versaGo to Podcastnotes.org to read the full notes Thank you for subscribing. Leave a comment or share this episode.

Bom dia Tech, tudo bem? Hoje trago pra você: Mudanças na revisão de conteúdos do Instagram, Threads e Facebook são anunciadas por Mark Zuckerberg e aproximam redes ao X, Sam Altman está sendo processado pela irmã, CEO da Nvidia diz que empresa superou a Lei de Moore, Nvidia anuncia novas placas de vídeo, Samsung abre cadastro para novos Samsung Galaxy S25 e Estúdio de Esquadrão Suicida volta a realizar demissões!Quer patrocinar ou fazer uma parceria com o Bom dia Tech? Mande um e-mail para contato@bomdia.tech e vamos conversar!Promoção AmazonAmazon Music UnlimitedNotícias00:00: Bom dia Tech! 00:23: Estúdio de Esquadrão Suicida volta a realizar demissões01:10: Samsung abre cadastro para novos Samsung Galaxy S2501:44: Nvidia anuncia novas placas de vídeo02:53: Amazon Music Unlimited03:41: CEO da Nvidia diz que empresa superou a Lei de Moore04:36: Sam Altman está sendo processado pela irmã05:58: Mudanças na revisão de conteúdos do Instagram, Threads e Facebook são anunciadas por Mark Zuckerberg08:52: Inté a próxima! Produtos do EpisódioMicrofone Fifine utilizado na gravação do podcastEcho Show 15Galaxy A15Samsung Galaxy S24Samsung Galaxy S24 UltraApple iPhone 16 (128 GB) Apple iPhone 15 (128 GB) Apple iPhone 14 (128 GB) Apple iPhone 14 Plus (128 GB) Comprando qualquer produto com esses links, ou conferindo as promoções em destaque, o Bom dia Tech receberá uma pequena comissão e assim, você ajuda no crescimento do podcast.Redes sociais:InstagramThreadsMastodonImagem da capa:MetaMúsica:Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/sensho/coffee-break

Sam Altman, de topman van ChatGPT-maker OpenAI, is aangeklaagd door zijn zus Ann wegens jarenlang seksueel misbruik in haar jeugd. Joe van Burik vertelt erover in deze Tech Update. Sam Altman heeft volgens Ann haar vanaf het eind van de jaren 90 misbruikt en gemanipuleerd. Het misbruik zou zijn begonnen toen zij 3 jaar was en zijn gestopt toen de OpenAI-topman volwassen was en zij nog minderjarig. Zijn zus heeft hem op sociale media eerder al beschuldigd van misbruik. Ze eist van haar broer een schadevergoeding en stelt dat ze ernstige emotionele schade heeft geleden. Ook zou ze steeds hogere medische kosten hebben voor haar psychische behandeling. Bloomberg News heeft het persoonlijk vermogen van Sam Altman vorig jaar geschat op meer dan 2 miljard dollar, ongeveer 1,9 miljard euro. De aanklacht is ingediend bij de rechtbank in de Amerikaanse stad Saint Louis in Missouri. In die staat kunnen mensen aanklachten over seksueel misbruik in hun jeugd indienen totdat ze 31 jaar zijn. Sam Altman reageerde via een bericht op X op de aanklacht. "Deze situatie veroorzaakt enorm veel pijn voor onze hele familie", stelt hij mede namens zijn moeder en broers. Verder in deze Tech Update: OpenAI-concurrent Anthropic heeft bijna een extra investering van 2 miljard dollar voor elkaar, waarmee er in totaal 6 miljard wordt opgehaald tegen een waardering van 60 miljard Nvidia-topman Jensen Huang claimt dat de ontwikkeling van chips voor AI bij zijn bedrijf nog sneller gaat dan de fameuze Moore's Law, die voorschrijft dat elke twee jaar een verdubbeling van aantal transistors en rekenkracht kan worden behaald met halfgeleiders See omnystudio.com/listener for privacy information.

Plus Is AGI Already Here? Like this? Get AIDAILY, delivered to your inbox, every weekday. Subscribe to our newsletter at https://aidaily.us CES 2025: The Most Eye-Catching and Absurd AI Products CES 2025 showcases quirky AI innovations, from a robot vacuum with a claw arm to an AI mirror for health tracking. These products highlight the blend of creativity and absurdity in AI development, pushing the boundaries of what AI can do in consumer tech. CES 2025: AI and Robots Integrate into Home Life From cute robotic companions to practical AI home devices, CES 2025 demonstrates how AI and robotics are becoming central to home automation and entertainment. Highlights include Samsung's Ballie robot and AI-powered AR glasses, showcasing a future where tech is seamlessly blended into living spaces. Sam Altman's Tweets Hint at AI Singularity Sam Altman's cryptic X posts suggest we're near or even past the AI singularity, where AI might surpass human intelligence. His six-word story and follow-up clarifications have sparked debate on whether AGI or ASI is closer than previously thought, raising questions about AI's future trajectory. AI's Growing Appetite for Power Fuels Emissions The surge in AI applications, particularly in data centers, is dramatically increasing electricity demand, challenging climate goals. This growth in AI usage could slow the transition to clean energy, highlighting the need for more sustainable AI practices to mitigate environmental impact. AI Plant Pot: A Tamagotchi Nightmare for Plant Lovers For a homeowner with nearly 100 plants, the idea of a LeafyPod AI pot, which turns plants into vocal, demanding Tamagotchis, is more horror than help. Constant notifications and the potential for plant "complaints" about their care could turn gardening into a chaotic experience. Govee's AI Gaming Pixel Light: A Novel Use for Generative AI The Govee Gaming Pixel Light integrates AI to display real-time game elements like items from Mario Kart, offering a fun, interactive home setup. This application of generative AI in gaming environments might make it the first mainstream justification for AI in personal spaces. AI Rules and Guardrails: Navigating Social Media's New Reality With AI increasingly shaping social media interactions, new rules and ethical considerations are emerging. The discussion focuses on how platforms like X manage AI guardrails to prevent misinformation, bias, and privacy breaches, underscoring the need for robust AI governance in digital spaces.

Sam Altman is the CEO and cofounder of OpenAI, the company behind ChatGPT. He and Adam discuss AI's advances in creativity and empathy, its ethical challenges, and the role of human oversight. Sam and Adam also discuss strategies for adapting to a changing world and their hopes for technology that enhances human progress while maintaining human values. Available transcripts for ReThinking can be found at go.ted.com/RWAGscripts Hosted on Acast. See acast.com/privacy for more information.

Recent discussions from OpenAI leaders, including Sam Altman, have reignited debates about the proximity of artificial general intelligence (AGI) and even artificial superintelligence (ASI). This episode explores key statements, shifting perspectives on AGI's timeline, and the implications for society and innovation in 2025. Brought to you by: Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown

Sam Altman is the CEO and cofounder of OpenAI, the company behind ChatGPT. He and Adam discuss AI's advances in creativity and empathy, its ethical challenges, and the role of human oversight. Sam and Adam also discuss strategies for adapting to a changing world and their hopes for technology that enhances human progress while maintaining human values. Available transcripts for ReThinking can be found at go.ted.com/RWAGscripts Hosted on Acast. See acast.com/privacy for more information.

Paul and Mike are back to catch you up on everything you missed over the holidays. From OpenAI's o3 model breaking human-level reasoning barriers to Sam Altman dropping cryptic hints about superintelligence, we've got all the updates. Plus, discover Google's new “AI mode,” and why Microsoft is betting $80 billion on next-gen data centers. Start 2025 with a whole lot of AI. Access the show notes and show links here This episode is brought to you by our AI Mastery Membership, this 12-month membership gives you access to all the education, insights, and answers you need to master AI for your company and career. To learn more about the membership, go to www.smarterx.ai/ai-mastery.  As a special thank you to our podcast audience, you can use the code POD150 to save $150 on a membership.  Timestamps: 00:04:37 — OpenAI Announces o3 00:11:19 — Superintelligence 00:23:15 — Policy Implications of AGI Post-o3 00:31:00 — OpenAI Structure 00:35:15 —  Sam Altman on His Feud with Elon Musk 00:37:46 — GPT-5/Orion Is Behind Schedule and Crazy Expensive 00:42:13 — Google Introduces Gemini 2.0 Flash Thinking 00:46:04 — Google ‘AI Mode' Option  00:49:23 — Google Publishes 321 Real-World Gen AI Use Cases 00:52:09 —Google 2025 AI Business Trends Report 00:54:55 — Satya Nadella on the BG2 Podcast 00:59:16 — Claude Pretends to Have Different Views During Training 01:05:29 —Facebook Planning to Flood Platform with AI-Powered Users 01:09:43 — DeepSeek V3 01:14:23 — Microsoft Outlines “The Golden Opportunity for American AI” 01:21:08 — Here's What We Learned About LLMs in 2024 01:24:34 — Funding and Acquisitions Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in AI Academy for Marketers

Babelfish Translation Earbuds, United Airlines' New Wi-Fi, OpenAI's AGI, and TELUS Consumer Solutions In this episode of Hashtag Trending, Jim Love discusses the latest in technology and regulatory developments. Time Kettle's W4 Pro earbuds aim to revolutionize real-time translation at CES 2025. United Airlines teams up with SpaceX to offer Starlink high-speed internet on flights. OpenAI's CEO Sam Altman hints at reaching artificial general intelligence with its O3 model. Afterward, Jim interviews Zainul Maji, President of TELUS Consumer Solutions, about a controversial Canadian government decision affecting internet service providers. Stay tuned for insightful discussions and industry updates. 00:00 Introduction and Overview 00:18 Special Interview Announcement 00:37 CES 2025: Real-Time Translation Earbuds 02:03 United Airlines and Starlink Internet 03:43 OpenAI and the Future of AGI 12:01 Interview with Zainul Maji: TELUS and Canadian Government Regulation