Podcasts about OpenAI

OpenAI has unveiled its "Economic Blueprint for America," outlining how AI can drive U.S. competitiveness, innovation, and reindustrialization. This blueprint aims to secure America's leadership in the AI era by recommending federal AI policies, streamlined regulations, and infrastructure development. This episode breaks down OpenAI's strategies, including proposed AI zones, educational initiatives, and collaborative global safety standards. 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

Elon Musk busca cambiar la dinámica de TikTok con nuevas estrategias. Apple lanzará el iPhone SE 4 en 2024, con mejoras significativas. No solo el SE 4, sino otros dispositivos clave están en desarrollo. OpenAI contrata a un ex-líder de Meta para sus gafas AR. Y su apuesta por la AR con sus gafas Orion. El fabricante de ChatGPT ya está trabajando en una nueva puesta en marcha de dispositivos de IA con el ex jefe de diseño de Apple Jony Ive y Laurene Powell Jobs, la viuda del difunto fundador de Apple Steve Jobs. Se ha confirmado la colaboración en un perfil publicado por The New York Times en septiembre. ENLACES https://hipertextual.com/2025/01/tiktok-elon-musk https://hipertextual.com/2025/01/ya-sabemos-cuando-llega-el-iphone-se-4-y-no-lo-hara-solo https://www.businessinsider.com/openai-hires-meta-hardware-lead-ar-glasses-orion-2024-11 //Donde encontrarnos Canal Youtube https://www.youtube.com/c/ApplelianosApplelianos/featured Grupo Telegram (enlace de invitación) https://t.me/+U9If86lsuY00MGU0 Correo electrónico applelianos@gmail.com Canal Telegram Episodios https://t.me/ApplelianosFLAC Mi Shop Amazon https://amzn.to/30sYcbB Twitter https://twitter.com/ApplelianosPod ( (https://twitter.com/ApplelianosPod)https://twitter.com/ApplelianosPod ) Apple Podcasts https://podcasts.apple.com/es/podcast/applelianos-podcast/id993909563 Ivoox https://www.ivoox.com/podcast-applelianos-podcast_sq_f1170563_1.html ( (https://www.ivoox.com/podcast-applelianos-podcast_sq_f1170563_1.html ) https://www.ivoox.com/podcast-applelianos-podcast_sq_f1170563_1.html

Send Everyday AI and Jordan a text messageIs Microsoft laying off thousands because of AI? How did one small box from NVIDIA change the future of work? What are Google's big AI shakeups? And why is OpenAI getting into humanoid robots? So many AI questions. We've got the AI answers with the AI news that matters.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI Robotics Department2. NVIDIA's AI Projects and Tech3. Google's AI Updates and AGI shift4. Microsoft's Open Source Model5. Meta speaks on AI and Software EngineeringTimestamps:00:00 Daily AI news, podcast recaps, expert episodes.04:34 NVIDIA's CES keynote: Major AI GPU announcements.06:52 NVIDIA uses generative AI to enhance GPUs.12:19 Local powerful AI models enhance data security.16:10 NVIDIA forks Meta's Llama for enterprise AI.20:44 Google aims for AGI using advanced world models.22:34 Phi 4: Efficient, powerful, open-source AI model.25:35 Microsoft prioritizes retaining AI talent with bonuses.31:34 OpenAI revives robotics department for versatile robots.35:18 OpenAI urges US to secure AI investments.39:21 Observations connect over time; predictions often accurate.40:01 Prediction on AI agent numbers was impactful.Keywords:OpenAI, robotics, humanoid robots, adaptive robots, AI models, AI supercomputer, NVIDIA GPUs, DeepMind AI, Microsoft's open-source model, AI automation, Meta software engineering, US AI leadership, AI Predictions, AI industry news, RTX 50 series GPUs, Project Digits, NVIDIA's Grace Blackwell superchip, local AI computing, Cosmos, Isaac Robot Simulation, Nemotron Models, Enterprise AI, DeepMind's World Models, Google's Artificial General Intelligence, Google AI projects, Microsoft layoffs, Microsoft Phi-4 model, Hugging Face, Coding automation, Meta's AI advancement. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Today, we're joined by Abhijit Bose, head of enterprise AI and ML platforms at Capital One to discuss the evolution of the company's Generative AI platform. In this episode, we dig into the company's platform-centric approach to AI, and how they've been evolving their existing MLOps and data platforms to support the new challenges and opportunities presented by generative AI workloads and AI agents. We explore their use of cloud-based infrastructure—in this case on AWS—to provide a foundation upon which they then layer open-source and proprietary services and tools. We cover their use of Llama 3 and open-weight models, their approach to fine-tuning, their observability tooling for Gen AI applications, their use of inference optimization techniques like quantization, and more. Finally, Abhijit shares the future of agentic workflows in the enterprise, the application of OpenAI o1-style reasoning in models, and the new roles and skillsets required in the evolving GenAI landscape. The complete show notes for this episode can be found at https://twimlai.com/go/714.

TO LEARN MORE:       www.CrossFitEdwardsville.com       www.Facebook.com/CrossFitEdwardsville      TikTok: @crossfitedwardsville      Instagram: @crossfitedwardsville        Twitter: @cfedwardsville        YouTube: CrossFit Edwardsville TO GET STARTED AT CFE:     Book a No-Sweat Conversation with a coach, using this scheduler:          https://crossfitedwardsville.com/intro/    You can also find the link to schedule on our website. While this show is educational & entertaining in nature, it does not replace or supplant professional medical guidance from your own physician. Before beginning any exercise or nutrition program, please first consult with your doctor. 

This week, we kick off the new year with Patrick Ip, co-founder and CEO of Theo AI. Patrick joins the podcast to discuss his journey from Google to entrepreneurship and how his company is leveraging AI to transform legal workflows. As the legal industry begins to embrace AI, Patrick shares his unique perspective on opportunities, challenges, and the ethical considerations surrounding these groundbreaking technologies. The conversation begins with a fascinating discussion about a recent pro se lawsuit where AI tools like OpenAI's GPT-4 and others played a pivotal role in drafting a complex complaint. Patrick and the hosts delve into the implications of this case for legal professionals, highlighting the advancements in AI's capabilities and the need for caution when non-experts wield these tools. The discussion provides a critical lens on the ethics, risks, and reliability of integrating AI into the legal process. Patrick shares the inspiring backstory of Theo AI, rooted in his rich professional journey, which spans work at the United Nations, launching startups, and being part of a Nobel Peace Prize-nominated project at Google. At Theo AI, Patrick has combined his entrepreneurial spirit with his legal expertise to develop tools that make legal predictions more accessible and reliable. From managing client expectations to transforming litigation funding, Theo AI's innovative use of synthetic and firm-level data is driving efficiencies and fostering better decision-making across the legal landscape. The discussion also ventures into the practical applications of Theo AI, particularly for litigation funders and law firms. Patrick explains how Theo AI compresses case review time from weeks to mere minutes, offering predictive insights that help legal professionals assess case viability, manage risk, and optimize workflows. He emphasizes the role of trust and transparency in AI development, ensuring the technology is both robust and aligned with ethical practices. As the episode concludes, Patrick reflects on the future of AI in the legal industry, forecasting that the most transformative advancements will seamlessly integrate into existing tools like Microsoft Word and Outlook. He also shares his broader philosophy of balancing work with personal passions, drawing inspiration from his experiences as an entrepreneur, coffee aficionado, and triathlete. This engaging conversation is a must-listen for anyone interested in the evolving role of AI in legal technology and beyond. Links: Theo AI webpage Patrick Ip (LinkedIn) Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠   Blue Sky: ⁠@glambertpod⁠ ⁠@marlgeb⁠ ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.com Music: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ TRANSCRIPT

Esteban García Marcos, editor de Andro4All e historiador cuenta el increíble negocio que está suponiendo la construcción de refugios nucleares sobre todo en EE.UU y como el fundador de Open AI que forma parte de la cultura prepper está encantando con el que se ha construido. 

Welcome to another episode of Supra Insider. This time, Marc and Ben sat down with Brenton Sellati, VP of Product at Pie Insurance, and Joshua Herzig-Marx as the honorary co-host for this episode to dive into the transformational journey of implementing the product operating model at Pie Insurance.Brenton shares how he overhauled Pie's product strategy, slashing 66% of the roadmap to focus on high-ROI initiatives, aligning leadership, and fostering a product-led culture. With insights from Joshua throughout the discussion, the episode explores the challenges and successes of introducing a problem-first mindset, building cross-functional collaboration, and creating a transparent prioritization system.This episode is packed with actionable advice for product leaders and executives looking to drive organizational change and implement sustainable product practices.All episodes of the podcast are also available on Spotify, Apple and YouTube (video).New to the pod? Subscribe below to get the next episode in your inbox

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

Multiple Sources of Income Opportunity: We have a rare opportunity for someone to join us as a scriptwriter, editor, mixer or showrunner, possibly even for co-founder rewards. If you are interested enough to dedicate the time to learn the craft, contact us at this Facebook link: ⁠⁠http://www.facebook.com/simplesuccesswithjohnbrandy⁠⁠ Our Credits: These podcasts are productions of Little Red Hen Industries. OUR FIFTH YEAR!! Learn about financial education & personal finance with John Brandy on Simple Success on Mondays! Listen to great speeches with John on A Choice Voice, which comes out on Wednesdays! Follow Us Here: ⁠⁠⁠https://www.instagram.com/simplesuccesswithjohnbrandy⁠⁠⁠ ⁠⁠⁠https://www.pinterest.com/simplesuccesswithjohnbrandy/⁠⁠⁠ ⁠⁠⁠https://www.facebook.com/simplesuccess⁠⁠⁠ ⁠⁠⁠https://www.reddit.com/r/littleredhen/⁠⁠⁠ All Little Red Hen Productions: ⁠⁠⁠John Brandy Podcasts⁠⁠⁠ Production Credit: Techno King: John C. Brandy Alter Ego: Doubting Thomas Fact-Checker: A Small Brown Beef Animal, Really Tiny. Facts Are Important But Are Also Easy Social Manager: Abraham Lincoln Media Expert: Augustus Caesar Psychologist: William James Sound Designer: Adobe's Creative Suite Language Consultant: Lea – The French “Do Your Own Research” Lady Videographer: Etomon Koshki Audio Props: Les Paul Inspiration: Many podcasts and other sources and of course Napoleon Hill. Subscribe Links: iOS Simple Success: ⁠⁠⁠https://podcasts.apple.com/us/podcast/simple-success-with-john-brandy/id1549566678⁠⁠⁠ Droid Simple Success: ⁠⁠⁠https://podcasts.google.com/search/simple%20success%20with%20john%20brandy⁠⁠⁠ iOS A Choice Voice: ⁠⁠⁠https://podcasts.apple.com/us/podcast/a-choice-voice-with-john-brandy/id1560026051⁠⁠⁠ Droid A Choice Voice: ⁠⁠⁠https://podcasts.google.com/search/a%20choice%20voice%20with%20john%20brandy⁠⁠⁠ AI Voices & Other Stuff @ Amazon Polly, Google, Open AI, Eleven Labs, Adobe, ACE Studios, Suno.AI,  & Udio.Com.⁠⁠⁠⁠ Finally, you can find us on Podmatch, Matchmaker.FM, Podbooker and Podcast Guests, where we consider guests & guesting on other people's shows. And really finally, our main background music and sound effects come from ⁠⁠⁠freesound.org⁠⁠⁠.

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

Note: This episode is a Re-Release from Corporate Innovations. Big tech investments without testing? At DPR Construction, that's a hard NO. Even with a $90M annual tech budget, they won't invest until they've tested solutions on actual projects. In today's episode of Corporate Innovations from Bricks & Bytes, we had Atul Khanzode, CTO of DPR Construction, sharing invaluable insights from his 27+ years of experience in construction technology and innovation. Tune in to learn about: ✅ Why DPR requires testing every solution before investing, after losing $500K on an untested startup ✅ Their unique "discipline innovation approach" focusing on 5 key areas: safety, quality, sustainability, supply chain, and productivity ✅ How they manage a $2-3M annual innovation budget separate from their main tech spending ✅ Why they partner with OpenAI, Microsoft, and Autodesk instead of building everything in-house Listen now on Spotify to hear Atul's practical advice for construction tech startups and learn how one of America's largest general contractors approaches innovation ------ Chapters 00:00 Intro 02:40 The Evolution of Technology in Construction 05:41 Defining the Role of a CTO in Construction 08:36 Measuring Success in Construction Technology 11:29 Challenges of Innovation in the Construction Industry 14:45 DPR's Innovation Strategy 17:34 Navigating the Technology Adoption Process 20:46 Learning from Technology Pilots 23:41 Addressing Industry Pain Points with Technology 26:35 Investing in AI and Future Technologies 30:51 Strategic Partnerships in AI Development 32:19 Budgeting for Technology Investments 33:01 Identifying Key Stakeholders for Technology Solutions 34:20 Evaluating Technology Costs and ROI 36:02 Lessons from Failed Technology Implementations 38:05 Investing in Construction Technology 40:49 Strategic Investments and Core Business Alignment 43:03 Operational Tools for Investment Management 45:26 Emerging Trends in Construction Technology 46:55 Advice for Startups Pitching Technology Solutions 49:00 Integrating Technology, Process, and Organization

In Episode 679 of Grumpy Old Geeks, titled "Set Sanity to Zero," Brian and Jason discuss the latest developments in tech, culture, and innovation. The episode opens with a look at Watch Duty, a wildfire-tracking app that has surpassed ChatGPT to take the top spot on the App Store amid California's wildfire crisis. They also cover local news, including the arrest of an arson suspect in Woodland Hills, CA, and tech entrepreneur Kevin Rose's home in the Palisades that is making headlines.The hosts delve into major tech stories that are dominating the news cycle. Former MoviePass CEO Ted Farnsworth pleads guilty to defrauding investors, marking the latest chapter in the infamous saga of the subscription service. Meanwhile, the UK takes bold action with new legislation criminalizing the creation and distribution of sexually explicit deepfakes. Meta finds itself at the center of multiple controversies, from appointing UFC CEO Dana White to its board to removing fact-checkers in favor of community-driven moderation, a decision that sparks backlash and leads to significant user departures from Facebook and Instagram. The darker side of tech is also examined, with reports of Meta Smart Glasses being used in a terror attack and generative AI contributing to a Tesla Cybertruck explosion.The podcast also explores groundbreaking applications of AI and its potential. An innovative method from a Reddit user for automating 1,000 job applications while asleep catches attention, along with discussions about the Getty Images and Shutterstock merger aimed at addressing AI's disruption in the stock photography industry. E-commerce trends take center stage, with Salesforce data indicating AI-driven sales growth during the holiday season, despite increasing return rates. The episode also discusses Tesla's “Actual Smart Summon” crashes currently under federal investigation and OpenAI's rapid response to a developer creating AI-powered gun turrets.In conclusion, Brian and Jason provide entertainment and tech recommendations. Their streaming choices include "Silo," "The Traitors UK" Season 3, and "Shrinking," while gaming highlights showcase the Nintendo Switch and "Super Mario Bros. Wonder." They also feature apps like ChowNow and TiVo's comeback as an OS on Sharp TVs. For book enthusiasts, the "At the Library" segment presents a variety of daily meditations and sci-fi titles. With its rich mix of tech insights, current events, and cultural commentary, Episode 679 is essential listening for anyone interested in the rapidly evolving digital landscape.Sponsors:DeleteMe - Head over to JoinDeleteMe.com/GOG and use the code "GOG" for 20% off.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/679FOLLOW UPWatch DutyWatch Duty surpasses ChatGPT as top free app on App Store as California fires spreadKevin Rose Palisades HouseArson suspect arrested in Woodland Hills near Kenneth FireIN THE NEWSMoviePass Ex-CEO Pleads Guilty to Defrauding InvestorsNew UK law would criminalize creating sexually explicit deepfakesMeta adds UFC CEO and Trump booster Dana White to its boardMeta Cracks Down on Internal Dissent Against Appointment of UFC's Dana White to BoardMeta Smart Glasses First Big Cultural Moment Is a Terror AttackMan who exploded Tesla Cybertruck outside Trump hotel in Las Vegas used generative AI, police sayMan Applies To 1,000 Jobs Using AI While Asleep, Wakes To Surprising OutcomesFacebook Caught Hosting AI-Powered HitlerMark Zuckerberg tells Fox News that Meta will "get rid of fact checkers" in latest appeal to TrumpGoogle searches for deleting Facebook, Instagram explode after Meta ends fact-checkingMeta's Fact-Checking Partners Say They Were ‘Blindsided' by Decision to Axe ThemFeds investigate Tesla's ‘Actual Smart Summon' after several crashesOpenAI Shuts Down Developer Who Made AI-Powered Gun TurretGetty Images, Shutterstock gear up for AI challenge with $3.7 billion mergerAI-influenced shopping boosts online holiday sales, Salesforce data showsMEDIA CANDYSiloThe Traitors UK S3Dexter Original SinShrinkingSex EducationThe Mayfair WitchesCunk on LifeTetrisPlease Don't Destroy: The Treasure of Foggy MountainAPPS & DOODADSChowNowApple promises software update to address Apple Intelligence notification summary complaintsTiVo OS is coming to the US on Sharp TVsNintendo SwitchSuper Mario Bros WonderAT THE LIBRARY3zekiel by Peter CawdronThe Daily Pressfield: A Teaching a Day from the Author of the War of Art by Steven PressfieldA Calendar of Wisdom: Daily Thoughts to Nourish the Soul by Leo TolstoyThe Daily Laws: 366 Meditations on Power, Seduction, Mastery, Strategy, and Human Nature by Robert GreeneThe Daily Stoic: 366 Meditations on Wisdom, Perseverance, and the Art of Living by Ryan Holiday365 Tao: Daily MeditationsThe Daily Drucker: 366 Days of Insight and Motivation for Getting the Right Things Done by Peter F. DruckerAround the Year with Emmet Fox: A Book of Daily Readings by Emmet FoxThe Maxwell Daily Reader: 365 Days of Insight to Develop the Leader Within You and Influence Those Around You by John C. MaxwellThe Elements of Humor: The Tools of Comedy that Make You Funnier, Happier, and Better Looking by Scott DikkersA Conventional Boy: A Laundry Files Novel (Laundry Files, 13)The Laundry Files: an updated chronologyTHE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingSkeleton CrewGame of Thrones Star Reportedly Set to Replace Ray Stevenson in Star Wars: Ahsoka Season 2Siri “unintentionally” recorded private convos; Apple agrees to pay $95MFlexible Flyer Metal Runner Sled. Steel & Wood Steering Snow SliderDave Bittner shares his President Carter storySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ralph welcomes historian Douglas Brinkley (author of "The Unfinished Presidency: Jimmy Carter's Journey Beyond the White House") as well as journalist and former Carter speechwriter James Fallows to reflect on the life and legacy of the late, great President Jimmy Carter.Douglas Brinkley is the Katherine Tsanoff Brown Chair in Humanities and Professor of History at Rice University, presidential historian for the New-York Historical Society, trustee of the Franklin D. Roosevelt Presidential Library, and a contributing editor at Vanity Fair. He has authored, co-authored, and edited more than three dozen books on American history, including Silent Spring Revolution: John F. Kennedy, Rachel Carson, Lyndon Johnson, Richard Nixon, and the Great Environmental Awakening, Rosa Parks: A Life, and The Unfinished Presidency: Jimmy Carter's Journey Beyond the White House.When [Jimmy Carter] came in in January of 1977, he said, “The Democratic Party is an albatross around my neck…” The Southern Democrats that voted for Carter in 1976 in the Senate because of, you know, “he's a fellow Southerner,” they abandoned him. They wanted nothing to do with him.Douglas BrinkleyRalph, I don't know if anyone's already told you this—there's a lot of Carter in yourself. You have a lot of similarities in my mind in the sense that you both work tirelessly, and are brilliant, and you learn the nuts and bolts of an issue and you lean into it, and both of you are known for your integrity and your honesty and your diligence and your duty. The question then becomes: Where did Carter fail? And it's about media and about power within the Democratic Party. Those two things Carter couldn't conquer.Douglas BrinkleyI've just written a column called “Jimmy Carter Was My Last President.” And by that I meant he was my last president—and I believe he was the last president for progressive civic groups as well—because he was the last president to actively open up the federal government to engagement and participation by long politically-excluded American activists. He did this actively. He took our calls. No president since has done that. He invited us to the White House to discuss issues. No president since has done that. And that's what I think has been missing in a lot of the coverage—he really believed in a democratic society.Ralph NaderJames Fallows is a contributing writer at the Atlantic and author of the newsletter Breaking the News. He began writing for the magazine in the mid-1970s, reporting from China, Japan, Southeast Asia, Europe, and across the United States and has written hundreds of articles for the publication since then. He's also worked as a public radio commentator, a news magazine editor, and for two years he was President Jimmy Carter's chief speechwriter. He is the author of twelve books, including Who Runs Congress (with Mark Green and David Zwick), The Water Lords, Breaking the News: How the Media Undermine American Democracy, and Our Towns: A 100,000-Mile Journey Into the Heart of America (with Deborah Fallows).Jimmy Carter, for better and worse, had zero national politics experience. That was part of what made him seem refreshing…But Carter, I think one of his limitations in office was that he didn't know what he didn't know, in various realms. This happens to all of us. That's why many outsiders struggle in their first term as president. And so I think yes, he felt as if he could be in command of many things. And I think if he had a second term, he would have been more effective—as Barack Obama was, and others have been.James FallowsI'm really grateful for the chance to talk with you, Ralph, at this moment. As we reflect on a president of the past and prepare for an administration of the future…There are people whose example lasts because they've been consistent over the decades. And I think you, Ralph, in the decades I've known you, that has been the case with you. I think it's the case of Jimmy Carter as well. For people who are consistent and true to themselves, there are times when fortune smiles in their favor and there's times when fortune works against them, but their lasting example endures and can inspire others.James FallowsNews 1/8/251. According to newly released CIA documents, the agency conducted extensive surveillance on Latino – specifically Mexican and Puerto Rican – political activity in the 1960s, ‘70s, and early ‘80s Axios reports. Among other revelations, these documents prove that the agency infiltrated student activist groups “making demands for Mexican American studies classes” – in direct contravention of the CIA's charter, which prohibits domestic activities. The push to disclose the reality of this spying campaign came from Congressmen Jimmy Gomez and Joaquin Castro, whose mother was monitored by the FBI for her Chicano-related activism. Unlike the CIA, the FBI has not released their records.2. Crusading independent journalists Ken Klippenstein and Daniel Boguslaw are out with a new Substack piece regarding Luigi Mangione. This piece, based on a leaked NYPD intelligence report “Warning of ‘a wide range of extremists' that ‘may view Mangione as a martyr,'” due to their “disdain for corporate greed.” These reporters go on to criticize the media for hiding this report from the public, as they have with other key documents in this case. “The report, produced by the NYPD's Intelligence & Counterterrorism Bureau …was blasted out to law enforcement and counterterror partners across the country. It was also leaked to select major media outlets which refused to permit the public to read the document…By withholding documents and unilaterally deciding which portions merit public disclosure, the media is playing god.”3. The Consumer Financial Protection Bureau has finalized its rule to remove medical bills from credit reports. The bureau reports this rule will wipe $49 billion in medical bills from the credit reports of approximately 15 million Americans. Further, embedded within this rule is a critical provision barring creditors from access to certain medical information; in the past this has allowed these firms to demand borrowers use medical devices up to and including prosthetic limbs as collateral for loans and as assets the creditors could repossess.4. President Biden has blocked a buyout of US Steel by the Japanese firm Nippon Steel, per the Washington Post. His reasons for doing so remain murky. Many in Biden's inner circle argued against this course of action, including Secretary of State Antony Blinken, U.S. Ambassador to Japan Rahm Emanuel and Treasury Secretary Janet Yellen. And despite Biden framing this decision as a move to protect the union employees of US Steel, Nippon had promised to honor the United Steelworkers contract and many workers backed the deal. In fact, the only person Biden seemed to be in complete agreement with on this issue is incoming President Donald Trump.5. In September 2023, Chicago Mayor Brandon Johnson issued a groundbreaking proposal: a publicly owned grocery store. While such institutions do exist on a very small scale, the Chicago pilot project would have been the largest in the United States by a wide margin. Yet, when the city had the opportunity to apply for Illinois state funds to begin the process of establishing the project, they “passed” according to the Chicago Tribune. Even still, this measure is far sounder than the previous M.O. of Chicago mayors, who lavished public funds on private corporations like Whole Foods to establish or maintain stores in underserved portions of the city, only for those corporations to turn around and shutter those stores once money spigot ran dry.6. On January 5th, the American Historical Association held their annual meeting. Among other proposals, the association voted on a measure to condemn the “scholasticide” being perpetrated by Israel in Gaza. Tim Barker, a PhD candidate at Harvard, reports the AHA passed this measure by a margin of 428 to 88. Along with the condemnation, this measure includes a provision to “form a committee to assist in rebuilding Gaza's educational infrastructure.” The AHA now joins the ever-growing list of organizations slowly coming to grips with the scale of the devastation in Gaza.7. According to Bloomberg, AI data centers are causing potentially massive disruptions to the American power grid. The key problem here is that the huge amounts of power these data centers are gobbling up is resulting in “bad harmonics,” which distort the power that ends up flowing through household appliances like refrigerators and dishwashers. As the piece explains, this harmonic distortion can cause substantial damage to those appliances and even increase the likelihood of electrical fires and blackouts. This issue is a perfect illustration of how tech industry greed is impacting consumers, even those who have nothing to do with their business.8. The Department of Housing and Urban Development reports homelessness increased by over 18% in 2024, per AP. HUD attributes this spike to a dearth of affordable housing, as well as the proliferation of natural disasters. In total, HUD estimates around 770,000 Americans are homeless, though that does not include “those staying with friends or family because they do not have a place of their own.” More granular data is even more appalling; family homelessness, for example, grew by 40%. Homelessness grew by 12% in 2023.9. On January 7th, Public Citizen announced that they have launched a new tracker to “watchdog federal investigations and cases against alleged corporate criminals…that are at risk of being abandoned, weakened, or scaled back under the Trump administration.” This tracker includes 237 investigations, nearly one third of which involve companies with known ties with the Trump administration. These companies include Amazon, Apple, AT&T, Bank of America, Coinbase, Ford, Tesla, Goldman Sachs, Meta, OpenAI, SpaceX, Pfizer, Black & Decker, and Uber among many others. As Corporate Crime expert Rick Claypool, who compiled this tracker, writes, “Corporate crime enforcement fell during Trump's first term, even as his administration pursued ‘tough' policies against immigrants, protestors, and low-level offenders…It's likely Trump's second term will see a similar or worse dropoff in enforcement.”10. Finally, Senate Republicans are pushing for swift confirmation hearings to install Tulsi Gabbard as Director of National Intelligence, per POLITICO. Yet, the renewed spotlight on Gabbard has brought to light her association with the Science of Identity Foundation, an alleged cult led by “guru” Chris Butler, per Newsweek. The New Yorker reports members of this cult are required to “lie face down when Butler enters a room and even sometimes eat his nail clippings or ‘spoonfuls' of the sand he walked on.”This has been Francesco DeSantis, with In Case You Haven't Heard. Get full access to Ralph Nader Radio Hour at www.ralphnaderradiohour.com/subscribe

The great Simon Willison joins SWYX and I to talk about everything we learned about LLMs in 2024, and what the state of AI is generally, as we go into 2025.Here is Simon's blog post we keep referring to:https://simonwillison.net/2024/Dec/31...00:00 The State of AI in 202510:05 The Evolution of AI Models19:54 Challenges in AI Agents30:07 The Future of AI in Creative Industries38:29 The Rise of AI Influencers40:54 Credibility in the Age of AI43:15 The Future of User Interfaces for LLMs51:17 Local LLMs and Desktop AI Applications55:17 AI Tools and Applications for Everyday Use01:01:26 The Future of OpenAI and AI Regulation01:08:08 The Need for Better Criticism of LLMs01:10:41 The Future of Wearables and AI IntegrationSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Are we on the brink of a technological revolution—or chaos?In this week's episode of Leveraging AI, host Isar Meitis breaks down the fast-paced developments in artificial intelligence that unfolded during the final weeks of the year. This episode unpacks key concepts like Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI), exploring their potential to transform industries, solve global challenges, and... maybe even outsmart us. If you're a business leader looking to leverage AI while staying ahead of the curve, this episode is your AI survival guide.Wondering how to train your team or yourself to adopt AI successfully? I share a proven AI business transformation framework and an exclusive opportunity to join a live course designed for leaders. Checkout with $100 off using LEVERAGINGAI100 at https://multiplai.ai/ai-course/In this episode, you'll discover:The surprising milestones in AGI and ASI, including OpenAI's O3 model outperforming humans in key tests.How Sam Altman and Dario Amodei envision AI solving global challenges—while acknowledging the risks.Why “thinking models” are reshaping AI's role in business, and how they might transform the market.The growing influence of AI agents in companies like Google, eBay, and Moody's—and how they're reshaping industries.Why leaders like Sundar Pichai are pushing for AI to become as ubiquitous as Google itself.A behind-the-scenes look at AI-driven innovations from NVIDIA, Meta, and emerging players like DeepSeek.A step-by-step plan to enhance AI literacy and adoption in your business for maximum ROI.BONUS:Sam Altman's Blog Post: "Reflections" - https://blog.samaltman.com/reflections Dario Amodei's Essay: "Machines of Loving Grace" - https://darioamodei.com/machines-of-loving-graceAbout Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Free AI Consultation: https://multiplai.ai/book-a-call/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Latest Interview of Elon Musk, speaks to Germanys farright party AFD chief Alice Weidel!!! #ElonMusk #AFD #AliceWeidel Follow me on X https://x.com/Astronautman627?...

In this episode, Jaeden Schafer discusses the challenges faced by Alpha Alpha, a German LLM that raised $500 million but struggles to compete with giants like OpenAI and Anthropic. The conversation explores Alpha Alpha's innovative beginnings, their pivot towards enterprise-focused AI solutions, and the competitive landscape of the AI industry. My Podcast Course: ⁠https://podcaststudio.com/courses/⁠ Get on the AI Box Waitlist: ⁠⁠⁠https://AIBox.ai/⁠⁠⁠ Join my AI Hustle Community: ⁠https://www.skool.com/aihustle/about⁠

In this episode, Jaeden Schafer discusses the recent surge in OpenAI's valuation, which is now set at $150 billion. He explores the funding strategies being employed, including a potential $6.5 billion equity financing round and a $5 billion credit line. The conversation also delves into the upcoming innovations from OpenAI, specifically the Q-Star and Strawberry models, which are expected to enhance AI capabilities. Finally, Jaeden highlights the significant costs associated with acquiring and maintaining top AI talent, emphasizing the financial implications of these developments. My Podcast Course: ⁠https://podcaststudio.com/courses/⁠ Get on the AI Box Waitlist: ⁠⁠⁠https://AIBox.ai/⁠⁠⁠ Join my AI Hustle Community: ⁠https://www.skool.com/aihustle/about⁠

This week, Meta announced a series of content moderation changes that will transform the way the social media company's platforms deal with misinformation and hate speech. We break down what these changes will mean for users and why the company seems to be caving to the right's arguments on censorship. Then, we'll explain why 2025 is already shaping up to be a huge year in A.I. — with models like OpenAI's o3, Google's Gemini 2.0 and DeepSeek, from China, stirring discussion that superintelligence is near. And finally, we play a round of HatGPT. Additional Reading:Meta Says It Will End Its Fact-Checking Program on Social Media PostsOpenAI Unveils New A.I. That Can ‘Reason' Through Math and Science ProblemsNetflix's WWE investment and the Future of Live Events on the PlatformMegaLag's Video Investigation Into HoneyLos Angeles Man Is Trapped in Circling Waymo on Way to Airport: ‘Is Somebody Playing a Joke?' We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

Merriam-Webster's Word of the Day for January 10, 2025 is: untenable • un-TEN-uh-bul • adjective Something, such as a position, excuse, or situation, that is described as untenable cannot be defended against attack or criticism. // The scientists considered their colleague's theory to be bold but ultimately untenable. See the entry > Examples: "According to The Economist, the disparity between investor enthusiasm about AI and reality might be untenable. They report that only 5% of U.S. businesses say they use AI in their products and services, and few AI start-ups are turning a profit. Most notably, OpenAI, the creator of ChatGPT, expects to lose around $5 billion this year because of huge outflows for employee salaries and the massive energy costs associated with running large language models (LLMs)." — Will Ebiefung, The Motley Fool, 25 Nov. 2024 Did you know? Untenable and its opposite tenable come to us from the Old French verb tenir ("to hold, have possession of"), and ultimately from the Latin verb tenēre ("to hold, occupy, possess"). We tend to use untenable in situations where an idea or position is so off base that holding onto it is unjustified or inexcusable. One way to hold onto the meaning of untenable is to associate it with other tenēre descendants whose meanings are associated with "holding" or "holding onto." Tenacious ("holding fast") is one example. Others are contain, detain, sustain, maintain, and retain. Spanish speakers may also recognize tenēre as a predecessor of the commonplace verb tener, which retains the meaning of "to hold or possess."

Merriam-Webster's Word of the Day for January 10, 2025 is: untenable • un-TEN-uh-bul • adjective Something, such as a position, excuse, or situation, that is described as untenable cannot be defended against attack or criticism. // The scientists considered their colleague's theory to be bold but ultimately untenable. See the entry > Examples: "According to The Economist, the disparity between investor enthusiasm about AI and reality might be untenable. They report that only 5% of U.S. businesses say they use AI in their products and services, and few AI start-ups are turning a profit. Most notably, OpenAI, the creator of ChatGPT, expects to lose around $5 billion this year because of huge outflows for employee salaries and the massive energy costs associated with running large language models (LLMs)." — Will Ebiefung, The Motley Fool, 25 Nov. 2024 Did you know? Untenable and its opposite tenable come to us from the Old French verb tenir ("to hold, have possession of"), and ultimately from the Latin verb tenēre ("to hold, occupy, possess"). We tend to use untenable in situations where an idea or position is so off base that holding onto it is unjustified or inexcusable. One way to hold onto the meaning of untenable is to associate it with other tenēre descendants whose meanings are associated with "holding" or "holding onto." Tenacious ("holding fast") is one example. Others are contain, detain, sustain, maintain, and retain. Spanish speakers may also recognize tenēre as a predecessor of the commonplace verb tener, which retains the meaning of "to hold or possess."