Podcasts about DeepMind

Our 221st episode with a summary and discussion of last week's big AI news!Recorded on 09/19/2025Note: we transitioned to a new RSS feed and it seems this did not make it to there, so this may be posted about 2 weeks past the release date.Hosted by Andrey Kurenkov and co-hosted by Michelle LeeFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:OpenAI releases a new version of Codex integrated with GPT-5, enhancing coding capabilities and aiming to compete with other AI coding tools like Cloud Code.Significant updates in the robotics sector include new ventures in humanoid robots from companies like Figure AI and China's Unitree, as well as expansions in robotaxi services from Tesla and Amazon's Zoox.New open-source models and research advancements were discussed, including Google's DeepMind's self-improving foundation model for robotics and a physics foundation model aimed at generalizing across various physical systems.Legal battles continue to surface in the AI landscape with Warner Bros. suing MidJourney for copyright violations and Rolling Stone suing Google over AI-generated content summaries, highlighting challenges in AI governance and ethics.Timestamps:(00:00:10) Intro / BanterTools & Apps(00:02:33) OpenAI upgrades Codex with a new version of GPT-5(00:04:02) Google Injects Gemini Into Chrome as AI Browsers Go Mainstream | WIRED(00:06:14) Anthropic's Claude can now make you a spreadsheet or slide deck. | The Verge(00:07:12) Luma AI's New Ray3 Video Generator Can 'Think' Before Creating - CNETApplications & Business(00:08:32) OpenAI secures Microsoft's blessing to transition its for-profit arm | TechCrunch(00:10:31) Microsoft to lessen reliance on OpenAI by buying AI from rival Anthropic | TechCrunch(00:12:00) Figure AI passes $1B with Series C funding toward humanoid robot development - The Robot Report(00:13:52) China's Unitree plans $7 billion IPO valuation as humanoid robot race heats up(00:15:45) Tesla's robotaxi plans for Nevada move forward with testing permit | TechCrunch(00:17:48) Amazon's Zoox jumps into U.S. robotaxi race with Las Vegas launch(00:19:27) Replit hits $3B valuation on $150M annualized revenue | TechCrunch(00:21:14) Perplexity reportedly raised $200M at $20B valuation | TechCrunchProjects & Open Source(00:22:08) [2509.07604] K2-Think: A Parameter-Efficient Reasoning System(00:24:31) [2509.09614] LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software EngineeringResearch & Advancements(00:28:17) [2509.15155] Self-Improving Embodied Foundation Models(00:31:47) [2509.13805] Towards a Physics Foundation Model(00:34:26) [2509.12129] Embodied Navigation Foundation ModelPolicy & Safety(00:37:49) Anthropic endorses California's AI safety bill, SB 53 | TechCrunch(00:40:12) Warner Bros. Sues Midjourney, Joins Studios' AI Copyright Battle(00:42:02) Rolling Stone Publisher Sues Google Over AI Overview SummariesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Our 222st episode with a summary and discussion of last week's big AI news!Recorded on 10/03/2025Hosted by Andrey Kurenkov and co-hosted by Jon KrohnFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:(00:00:10) Intro / Banter(00:03:08) News Preview(00:03:56) Response to listener commentsTools & Apps(00:04:51) ChatGPT parent company OpenAI announces Sora 2 with AI video app(00:11:35) Anthropic releases Claude Sonnet 4.5 in latest bid for AI agents and coding supremacy | The Verge(00:22:25) Meta launches 'Vibes,' a short-form video feed of AI slop | TechCrunch(00:26:42) OpenAI launches ChatGPT Pulse to proactively write you morning briefs | TechCrunch(00:33:44) OpenAI rolls out safety routing system, parental controls on ChatGPT | TechCrunch(00:35:53) The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens - MarkTechPost(00:39:54) Microsoft just added AI agents to Word, Excel, and PowerPoint - how to use them | ZDNETApplications & Business(00:42:41) OpenAI takes on Google, Amazon with new agentic shopping system | TechCrunch(00:46:01) Exclusive: Mira Murati's Stealth AI Lab Launches Its First Product | WIRED(00:49:54) OpenAI is the world's most valuable private company after private stock sale | TechCrunch(00:53:07) Elon Musk's xAI accuses OpenAI of stealing trade secrets in new lawsuit | Technology | The Guardian(00:55:40) Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science | TechCrunchProjects & Open Source(00:58:26) [2509.16941] SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?Research & Advancements(01:01:28) [2509.17196] Evolution of Concepts in Language Model Pre-Training(01:05:36) [2509.19284] What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTLighting round(01:09:37) [2507.02954] Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III(01:12:03) [2509.24552] Short window attention enables long-term memorizationPolicy & Safety(01:18:11) SB 53, the landmark AI transparency bill, is now law in California | The Verge(01:24:07) Elon Musk's xAI offers Grok to federal government for 42 cents | TechCrunch(01:25:23) Character.AI removes Disney characters from platform after studio issues warning(01:28:50) Spotify's Attempt to Fight AI Slop Falls on Its FaceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Google faces the greatest innovator's dilemma in history. They invented the Transformer — the breakthrough technology powering every modern AI system from ChatGPT to Claude (and, of course, Gemini). They employed nearly all the top AI talent: Ilya Sutskever, Geoff Hinton, Demis Hassabis, Dario Amodei — more or less everyone who leads modern AI worked at Google circa 2014. They built the best dedicated AI infrastructure (TPUs!) and deployed AI at massive scale years before anyone else. And yet... the launch of ChatGPT in November 2022 caught them completely flat-footed. How on earth did the greatest business in history wind up playing catch-up to a nonprofit-turned-startup?Today we tell the complete story of Google's 20+ year AI journey: from their first tiny language model in 2001 through the creation Google Brain, the birth of the transformer, the talent exodus to OpenAI (sparked by Elon Musk's fury over Google's DeepMind acquisition), and their current all-hands-on-deck response with Gemini. And oh yeah — a little business called Waymo that went from crazy moonshot idea to doing more rides than Lyft in San Francisco, potentially building another Google-sized business within Google. This is the story of how the world's greatest business faces its greatest test: can they disrupt themselves without losing their $140B annual profit-generating machine in Search?Sponsors:Many thanks to our fantastic Fall ‘25 Season partners:J.P. Morgan PaymentsSentryWorkOSShopifyAcquired's 10th Anniversary Celebration!When: October 20th, 4:00 PM PTWho: All of you!Where: https://us02web.zoom.us/j/84061500817?pwd=opmlJrbtOAen4YOTGmPlNbrOMLI8oo.1Links:Sign up for email updates and vote on future episodes!Geoff Hinton's 2007 Tech Talk at GoogleOur recent ACQ2 episode with Tobi LutkeWorldly Partners' Multi-Decade Alphabet StudyIn the PlexSupremecyGenius MakersAll episode sourcesCarve Outs:We're hosting the Super Bowl Innovation Summit!F1: The MovieTravelpro suitcasesGlue Guys PodcastSea of StarsStepchange PodcastMore Acquired:Get email updates and vote on future episodes!Join the SlackSubscribe to ACQ2Check out the latest swag in the ACQ Merch Store!‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

Dr. Ilia Shumailov - Former DeepMind AI Security Researcher, now building security tools for AI agentsEver wondered what happens when AI agents start talking to each other—or worse, when they start breaking things? Ilia Shumailov spent years at DeepMind thinking about exactly these problems, and he's here to explain why securing AI is way harder than you think.**SPONSOR MESSAGES**—Check out notebooklm for your research project, it's really powerfulhttps://notebooklm.google.com/—Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyOct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst— We're racing toward a world where AI agents will handle our emails, manage our finances, and interact with sensitive data 24/7. But there is a problem. These agents are nothing like human employees. They never sleep, they can touch every endpoint in your system simultaneously, and they can generate sophisticated hacking tools in seconds. Traditional security measures designed for humans simply won't work.Dr. Ilia Shumailovhttps://x.com/iliaishackedhttps://iliaishacked.github.io/https://sequrity.ai/TRANSCRIPT:https://app.rescript.info/public/share/dVGsk8dz9_V0J7xMlwguByBq1HXRD6i4uC5z5r7EVGMTOC:00:00:00 - Introduction & Trusted Third Parties via ML00:03:45 - Background & Career Journey00:06:42 - Safety vs Security Distinction00:09:45 - Prompt Injection & Model Capability00:13:00 - Agents as Worst-Case Adversaries00:15:45 - Personal AI & CAML System Defense00:19:30 - Agents vs Humans: Threat Modeling00:22:30 - Calculator Analogy & Agent Behavior00:25:00 - IMO Math Solutions & Agent Thinking00:28:15 - Diffusion of Responsibility & Insider Threats00:31:00 - Open Source Security Concerns00:34:45 - Supply Chain Attacks & Trust Issues00:39:45 - Architectural Backdoors00:44:00 - Academic Incentives & Defense Work00:48:30 - Semantic Censorship & Halting Problem00:52:00 - Model Collapse: Theory & Criticism00:59:30 - Career Advice & Ross Anderson TributeREFS:Lessons from Defending Gemini Against Indirect Prompt Injectionshttps://arxiv.org/abs/2505.14534Defeating Prompt Injections by Design. Debenedetti, E., Shumailov, I., Fan, T., Hayes, J., Carlini, N., Fabian, D., Kern, C., Shi, C., Terzis, A., & Tramèr, F. https://arxiv.org/pdf/2503.18813Agentic Misalignment: How LLMs could be insider threatshttps://www.anthropic.com/research/agentic-misalignmentSTOP ANTHROPOMORPHIZING INTERMEDIATE TOKENS AS REASONING/THINKING TRACES!Subbarao Kambhampati et alhttps://arxiv.org/pdf/2504.09762Meiklejohn, S., Blauzvern, H., Maruseac, M., Schrock, S., Simon, L., & Shumailov, I. (2025). Machine learning models have a supply chain problem. https://arxiv.org/abs/2505.22778 Gao, Y., Shumailov, I., & Fawaz, K. (2025). Supply-chain attacks in machine learning frameworks. https://openreview.net/pdf?id=EH5PZW6aCrApache Log4j Vulnerability Guidancehttps://www.cisa.gov/news-events/news/apache-log4j-vulnerability-guidance Bober-Irizar, M., Shumailov, I., Zhao, Y., Mullins, R., & Papernot, N. (2022). Architectural backdoors in neural networks. https://arxiv.org/pdf/2206.07840Position: Fundamental Limitations of LLM Censorship Necessitate New ApproachesDavid Glukhov, Ilia Shumailov, ...https://proceedings.mlr.press/v235/glukhov24a.html AlphaEvolve MLST interview [Matej Balog, Alexander Novikov]https://www.youtube.com/watch?v=vC9nAosXrJw

What happens when ex-Google innovators build an AI-powered app that turns your emails, favorite subreddits, and even your calendar into a custom radio station you can talk to? In this episode, the creators of Hux reveal how they're reimagining the way we consume information and why radio and podcasts might never be the same. Pluralistic: The real (economic) AI apocalypse is nigh (27 Sep 2025) – Pluralistic: Daily links from Cory Doctorow It's time to prepare for AI personhood Creator of AI Actress Tilly Norwood Responds to Backlash: "She Is Not a Replacement for a Human Being" Link to the podslop podcasts California Governor Signs Sweeping A.I. Law Sen. Mark Kelly's big plan for an AI future isn't ambitious enough ** DeepMind defines levels of AGI Pissed-off Fans Flooded the Twin Peaks Reddit With AI Slop To Protest Its AI Policies AI passed the hardest CFA test in minutes ChatGPT is now 20% of Walmart's referral traffic — while Amazon wards off AI shopping agents Amazon event live blog: we're here for new Echos, Kindles, and more Introducing ChatGPT Pulse | OpenAI Marissa Mayer Is Dissolving Her Sunshine Startup Lab to make AI digital assistant That Secret Service SIM farm story is bogus Judge Gives Preliminary Approval to Anthropic Settlement It's official: Google says the Android and ChromeOS merger is coming 'next year' Blippo+ Guardian sliders Ive's $4,800 lantern Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raiza Martin Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: monarchmoney.com with code IM Melissa.com/twit threatlocker.com/twit agntcy.org

What happens when ex-Google innovators build an AI-powered app that turns your emails, favorite subreddits, and even your calendar into a custom radio station you can talk to? In this episode, the creators of Hux reveal how they're reimagining the way we consume information and why radio and podcasts might never be the same. Pluralistic: The real (economic) AI apocalypse is nigh (27 Sep 2025) – Pluralistic: Daily links from Cory Doctorow It's time to prepare for AI personhood Creator of AI Actress Tilly Norwood Responds to Backlash: "She Is Not a Replacement for a Human Being" Link to the podslop podcasts California Governor Signs Sweeping A.I. Law Sen. Mark Kelly's big plan for an AI future isn't ambitious enough ** DeepMind defines levels of AGI Pissed-off Fans Flooded the Twin Peaks Reddit With AI Slop To Protest Its AI Policies AI passed the hardest CFA test in minutes ChatGPT is now 20% of Walmart's referral traffic — while Amazon wards off AI shopping agents Amazon event live blog: we're here for new Echos, Kindles, and more Introducing ChatGPT Pulse | OpenAI Marissa Mayer Is Dissolving Her Sunshine Startup Lab to make AI digital assistant That Secret Service SIM farm story is bogus Judge Gives Preliminary Approval to Anthropic Settlement It's official: Google says the Android and ChromeOS merger is coming 'next year' Blippo+ Guardian sliders Ive's $4,800 lantern Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raiza Martin Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: monarchmoney.com with code IM Melissa.com/twit threatlocker.com/twit agntcy.org

What happens when ex-Google innovators build an AI-powered app that turns your emails, favorite subreddits, and even your calendar into a custom radio station you can talk to? In this episode, the creators of Hux reveal how they're reimagining the way we consume information and why radio and podcasts might never be the same. Pluralistic: The real (economic) AI apocalypse is nigh (27 Sep 2025) – Pluralistic: Daily links from Cory Doctorow It's time to prepare for AI personhood Creator of AI Actress Tilly Norwood Responds to Backlash: "She Is Not a Replacement for a Human Being" Link to the podslop podcasts California Governor Signs Sweeping A.I. Law Sen. Mark Kelly's big plan for an AI future isn't ambitious enough ** DeepMind defines levels of AGI Pissed-off Fans Flooded the Twin Peaks Reddit With AI Slop To Protest Its AI Policies AI passed the hardest CFA test in minutes ChatGPT is now 20% of Walmart's referral traffic — while Amazon wards off AI shopping agents Amazon event live blog: we're here for new Echos, Kindles, and more Introducing ChatGPT Pulse | OpenAI Marissa Mayer Is Dissolving Her Sunshine Startup Lab to make AI digital assistant That Secret Service SIM farm story is bogus Judge Gives Preliminary Approval to Anthropic Settlement It's official: Google says the Android and ChromeOS merger is coming 'next year' Blippo+ Guardian sliders Ive's $4,800 lantern Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raiza Martin Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: monarchmoney.com with code IM Melissa.com/twit threatlocker.com/twit agntcy.org

What happens when ex-Google innovators build an AI-powered app that turns your emails, favorite subreddits, and even your calendar into a custom radio station you can talk to? In this episode, the creators of Hux reveal how they're reimagining the way we consume information and why radio and podcasts might never be the same. Pluralistic: The real (economic) AI apocalypse is nigh (27 Sep 2025) – Pluralistic: Daily links from Cory Doctorow It's time to prepare for AI personhood Creator of AI Actress Tilly Norwood Responds to Backlash: "She Is Not a Replacement for a Human Being" Link to the podslop podcasts California Governor Signs Sweeping A.I. Law Sen. Mark Kelly's big plan for an AI future isn't ambitious enough ** DeepMind defines levels of AGI Pissed-off Fans Flooded the Twin Peaks Reddit With AI Slop To Protest Its AI Policies AI passed the hardest CFA test in minutes ChatGPT is now 20% of Walmart's referral traffic — while Amazon wards off AI shopping agents Amazon event live blog: we're here for new Echos, Kindles, and more Introducing ChatGPT Pulse | OpenAI Marissa Mayer Is Dissolving Her Sunshine Startup Lab to make AI digital assistant That Secret Service SIM farm story is bogus Judge Gives Preliminary Approval to Anthropic Settlement It's official: Google says the Android and ChromeOS merger is coming 'next year' Blippo+ Guardian sliders Ive's $4,800 lantern Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raiza Martin Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: monarchmoney.com with code IM Melissa.com/twit threatlocker.com/twit agntcy.org

What happens when ex-Google innovators build an AI-powered app that turns your emails, favorite subreddits, and even your calendar into a custom radio station you can talk to? In this episode, the creators of Hux reveal how they're reimagining the way we consume information and why radio and podcasts might never be the same. Pluralistic: The real (economic) AI apocalypse is nigh (27 Sep 2025) – Pluralistic: Daily links from Cory Doctorow It's time to prepare for AI personhood Creator of AI Actress Tilly Norwood Responds to Backlash: "She Is Not a Replacement for a Human Being" Link to the podslop podcasts California Governor Signs Sweeping A.I. Law Sen. Mark Kelly's big plan for an AI future isn't ambitious enough ** DeepMind defines levels of AGI Pissed-off Fans Flooded the Twin Peaks Reddit With AI Slop To Protest Its AI Policies AI passed the hardest CFA test in minutes ChatGPT is now 20% of Walmart's referral traffic — while Amazon wards off AI shopping agents Amazon event live blog: we're here for new Echos, Kindles, and more Introducing ChatGPT Pulse | OpenAI Marissa Mayer Is Dissolving Her Sunshine Startup Lab to make AI digital assistant That Secret Service SIM farm story is bogus Judge Gives Preliminary Approval to Anthropic Settlement It's official: Google says the Android and ChromeOS merger is coming 'next year' Blippo+ Guardian sliders Ive's $4,800 lantern Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raiza Martin Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: monarchmoney.com with code IM Melissa.com/twit threatlocker.com/twit agntcy.org

Can AI help find the next breakthrough material? One of my side quests on this long world trip has been chasing the answer to this question. AI-accelerated materials discovery is fascinating to me because the right material at the right time can revolutionize economy and society. Yet the process of material discovery has little changed from the 20th century: Sweaty, repetitive trial-and-error or dumb serendipity. In a prior video, I mentioned Periodic Labs, which raised $200 million from A16Z at a billion dollar valuation. But they are not alone in the space. In the United States, we have Orbital Materials and Radical AI. As well as Dunia Innovations and RARA Factory in Europe. I know there might be two or so more I haven't heard of. Not to mention DeepMind and Google doing work here as well. Are all of these guys chasing ghosts? Over the past few months, I have read some things and spoke to some people. In today's video, some scattered thoughts on AI-accelerated material discovery. Is it real?

Jason Howell and Jeff Jarvis break down OpenAI's Sora 2 update, DeepMind's vision for video foundation models, California's sweeping new AI law, and Spotify's fight against 75 million spammy tracks. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00:00 - Podcast begins 0:01:51 - Jason's Irish tour with Meta Oakley HSNT glasses 0:08:33 - Sora 2 is here 0:12:04 - ⁠iJustine's Sora test and promotion⁠ 0:14:32 - OpenAI's New Sora Video Generator to Require Copyright Holders to Opt Out 0:19:34 - Foom: all slop, all the time... 0:29:11 - DeepMind says video models like Veo 3 could become general purpose foundation models for vision, like LLMs for text 0:34:24 - AI Actress Tilly Norwood Condemned by SAG-AFTRA: Tilly ‘Is Not an Actor… It Has No Life Experience to Draw From, No Emotion 0:40:59 - 'CEO of Controversial Startup Vows to Keep Mass Publishing AI Podcasts Despite Backlash 0:53:07 - Spotify Announces New AI Safeguards, Says It's Removed 75 Million ‘Spammy' Tracks 0:55:00 - California Governor Signs Sweeping A.I. Law 0:56:23 - Hawley and Blumenthal unveil AI evaluation bill 1:00:43 - This is Gemini for Home and the redesigned Home app, rollout starts today 1:04:09 - Marissa Mayer Is Dissolving Her Sunshine Startup Lab to make AI digital assistant 1:06:44 - Introducing Claude Sonnet 4.5 1:08:03 - DoorDash Unveils Delivery Robot, Smart Scale in Hardware Debut 1:10:02 - Opera launches Neon AI browser to join agentic web browsing race Learn more about your ad choices. Visit megaphone.fm/adchoices

Periodic Labs was founded by Ekin Dogus Cubuk and Liam Fedus. Cubuk led the materials and chemistry team at Google Brain and DeepMind, where one of his projects was, for instance, an AI tool called GNoME. Researchers say that tool discovered over 2 million new crystals in 2023, materials that could one day be used to power new generations of technology.  Whoop Advanced Labs offers health-screening blood tests from Quest Diagnostics that cover a variety of markers, from calcium to white blood cells. The platform integrates those results with the band's continuous monitoring of activity, sleep, respiratory rate, and blood pressure to offer more personalized wellness advice. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Microsoft AI CEO Mustafa Suleyman (co-founder of DeepMind) joins The Neuron to discuss his provocative essay on "Seemingly Conscious AI" and why machines that mimic consciousness pose unprecedented risks - even when they're not actually alive. We explore how 700 million people are already using AI as life coaches, Microsoft's massive $208B revenue strategy for AI, and exclusive features like Copilot Vision that can see everything you see in real-time.Key topics:• Why AI consciousness is an illusion - and why that's dangerous • Microsoft's 2 gigawatt datacenter expansion (2.5x Seattle's power usage)• MAI-1 Preview breaking into the top 10 models globally• The future of AI browsers and autonomous agents• Why granting AI rights could threaten humanitySubscribe to The Neuron newsletter (580,000+ readers): https://theneuron.aiResources mentioned:• Mustafa's essay "Seemingly Conscious AI Is Coming" https://mustafa-suleyman.ai/seemingly...• Try Copilot Vision: https://copilot.microsoft.com• Microsoft Edge AI features: https://www.microsoft.com/en-us/edge• MAI-1 Preview models: https://microsoft.ai/news/two-new-in-...Special thanks to today's sponsor, Wispr Flow: https://wisprflow.ai/neuron

In this episode, we dive into the evolving landscape of industrial AI, starting with a lively Oktoberfest recap before shifting gears to the latest breakthroughs in physics-informed neural networks and user interfaces. We discuss the real-world impact of Europe's AI Act, featuring insights from industry leaders and an in-depth interview with Sampo Leino of MinnaLearn on building AI literacy for enterprises. As we unpack strategic investments, robotics trends, and the challenges of compliance, we question what it means to use AI safely and competitively. Throughout the conversation, we keep it grounded in everyday experience—how regulation, technology, and practical learning are shaping the factories and workplaces of tomorrow. Tune in to hear how we're navigating this complex, fast-moving frontier and what it means for anyone working with AI today.

Our 221st episode with a summary and discussion of last week's big AI news! Recorded on 09/19/2025 Hosted by Andrey Kurenkov and co-hosted by Michelle Lee Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ In this episode: OpenAI releases a new version of Codex integrated with GPT-5, enhancing coding capabilities and aiming to compete with other AI coding tools like Cloud Code. Significant updates in the robotics sector include new ventures in humanoid robots from companies like Figure AI and China's Unitree, as well as expansions in robotaxi services from Tesla and Amazon's Zoox. New open-source models and research advancements were discussed, including Google's DeepMind's self-improving foundation model for robotics and a physics foundation model aimed at generalizing across various physical systems. Legal battles continue to surface in the AI landscape with Warner Bros. suing MidJourney for copyright violations and Rolling Stone suing Google over AI-generated content summaries, highlighting challenges in AI governance and ethics. Timestamps: (00:00:10) Intro / Banter Tools & Apps (00:02:33) OpenAI upgrades Codex with a new version of GPT-5 (00:04:02) Google Injects Gemini Into Chrome as AI Browsers Go Mainstream | WIRED (00:06:14) Anthropic's Claude can now make you a spreadsheet or slide deck. | The Verge (00:07:12) Luma AI's New Ray3 Video Generator Can 'Think' Before Creating - CNET Applications & Business (00:08:32) OpenAI secures Microsoft's blessing to transition its for-profit arm | TechCrunch (00:10:31) Microsoft to lessen reliance on OpenAI by buying AI from rival Anthropic | TechCrunch (00:12:00) Figure AI passes $1B with Series C funding toward humanoid robot development - The Robot Report (00:13:52) China's Unitree plans $7 billion IPO valuation as humanoid robot race heats up (00:15:45) Tesla's robotaxi plans for Nevada move forward with testing permit | TechCrunch (00:17:48) Amazon's Zoox jumps into U.S. robotaxi race with Las Vegas launch (00:19:27) Replit hits $3B valuation on $150M annualized revenue | TechCrunch (00:21:14) Perplexity reportedly raised $200M at $20B valuation | TechCrunch Projects & Open Source (00:22:08) [2509.07604] K2-Think: A Parameter-Efficient Reasoning System (00:24:31) [2509.09614] LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering Research & Advancements (00:28:17) [2509.15155] Self-Improving Embodied Foundation Models (00:31:47) [2509.13805] Towards a Physics Foundation Model (00:34:26) [2509.12129] Embodied Navigation Foundation Model Policy & Safety (00:37:49) Anthropic endorses California's AI safety bill, SB 53 | TechCrunch (00:40:12) Warner Bros. Sues Midjourney, Joins Studios' AI Copyright Battle (00:42:02) Rolling Stone Publisher Sues Google Over AI Overview Summaries

EDR-Freeze tool suspends security software DeepMind updates Frontier Safety Framework Major vendors withdraw from MITRE EDR Evaluations Huge thanks to our sponsor, Conveyor  Security reviews don't have to feel like a hurricane. Most teams are buried in back-and-forth emails and never-ending customer requests for documentation or answers. But Conveyor takes all that chaos and turns it into calm. AI fills in the questionnaires, your trust center is always ready, and sales cycles move without stalls. Breathe easier—check out Conveyor at www.conveyor.com.

Membership | Donations | Spotify | YouTube | Apple PodcastsThis week we hear from Larry Muhlstein, who worked on Responsible AI at Google and DeepMind before leaving to found the Holistic Technology Project. In Larry's words:“Care is crafted from understanding, respect, and will. Once care is deep enough and in a generative reciprocal relationship, it gives rise to self-expanding love. My work focuses on creating such systems of care by constructing a holistic sociotechnical tree with roots of philosophical orientation, a trunk of theoretical structure, and technological leaves and fruit that offer nourishment and support to all parts of our world. I believe that we can grow love through technologies of togetherness that help us to understand, respect, and care for each other. I am committed to supporting the responsible development of such technologies so that we can move through these trying times towards a world where we are all well together.”In this episode, Larry and I explore the “roots of philosophical orientation” and “trunk of theoretical structure” as he lays them out in his Technological Love knowledge garden, asking how technologies for reality, perspectives, and karma can help us grow a world in love. What is just enough abstraction? When is autonomy desirable and when is it a false god? What do property and selfhood look like in a future where the ground truths of our interbeing shape design and governance?It's a long, deep conversation on fundamentals we need to reckon with if we are to live in futures we actually want. I hope you enjoy it as much as we did.Our next dialogue is with Sam Arbesman, resident researcher at Lux Capital and author of The Magic of Code. We'll interrogate the distinctions between software and spellcraft, explore the unique blessings and challenges of a world defined by advanced computing, and probe the good, bad, and ugly of futures that move at the speed of thought…✨ Show Links• Hire me for speaking or consulting• Explore the interactive knowledge garden grown from over 250 episodes• Explore the Humans On The Loop dialogue and essay archives• Browse the books we discuss on the show at Bookshop.org• Dig into nine years of mind-expanding podcasts✨ Additional Resources“Growing A World In Love” — Larry Muhlstein at Hurry Up, We're Dreaming“The Future Is Both True & False” — Michael Garfield on Medium“Sacred Data” — Michael Garfield at Hurry Up, We're Dreaming“The Right To Destroy” — Lior Strahilevitz at Chicago Unbound“Decentralized Society: Finding Web3's Soul” — Puja Ohlhaver, E. Glen Weyl, and Vitalik Buterin at SSRN✨ MentionsKarl Schroeder's “Degrees of Freedom”Joshua DiCaglio's Scale TheoryGeoffrey West's ScaleHannah ArendtKen WilberDoug Rushkoff's Survival of the RichestManda Scott's Any Human Power Torey HaydenChaim Gingold's Building SimCityJames P. Carse's Finite & Infinite GamesJohn C. Wright's The Golden OecumeneEckhart Tolle's The Power of Now✨ Related Episodes This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

This week, we talk with Gabe Pereyra, President and co-founder at Harvey, about his path from DeepMind and Google Brain to launching Harvey with Winston Weinberg; how a roommate's real-world legal workflows met early GPT-4 access and OpenAI backing; why legal emerged as the right domain for large models; and how personal ties to the profession plus a desire to tackle big societal problems shaped a mission to apply advanced AI where language and law intersect.Gabe's core thesis lands hard, “the models are the product.” Rather than narrow tools for single tasks, Harvey opted for a broad assistant approach. Lawyers live in text and email, so dialog becomes the control surface, an “AI associate” supporting partners and teams. Early demos showed useful output across many tasks, which reinforced a generalist design, then productized connections into Outlook and Word, plus a no-code Workflow Builder.Go-to-market strategy flipped the usual script. Instead of starting small, Harvey partnered early with Allen & Overy and leaders like David Wakeling. Large firms supplied layered review, which reduced risk from model errors and increased learning velocity. From there the build list grew, security and data privacy, dedicated capacity, links to firm systems, case law, DMS, data rooms, and eDiscovery. A matter workspace sits at the center. Adoption rises with surface area, with daily activity approaching seventy percent where four or more product surfaces see regular use. ROI work now includes analysis of write-offs and specialized workflows co-built with firms and clients, for example Orrick, A&O, and PwC.Talent, training, and experience value come next. Firms worry about job paths, and Gabe does not duck that concern. Models handle complex work, which raises anxiety, yet also shortens learning curves. Harvey collaborates on curricula using past deals, plus partnerships with law schools. Return on experience shows up in recruiting, PwC reports stronger appeal among early-career talent, and quality-of-life gains matter. On litigation use cases, chronology builders require firm expertise and guardrails, with evaluation methods that mirror how senior associates review junior output. Frequent use builds a mental model for where errors tend to appear.Partnerships round out the strategy. Research content from LexisNexis and Wolters Kluwer, work product in iManage and NetDocuments, CLM workflows via Ironclad, with plans for data rooms, eDiscovery, and billing. Vision extends to a complete matter management service, emails, documents, prior work, evaluation, billing links, and strict ethical walls, all organized by client-matter. Global requirements drive multi-region storage and controls, including Australia's residency rules. The forward look centers on differentiation through customization, firms encode expertise into models, workflows, and agents, then deliver outcomes faster and at software margins. “The value sits in your people,” Gabe says, and firms that convert know-how into systems will lead the pack.Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.] ⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ Transcript

AI just scored a historic win in the International Collegiate Programming Contest, with OpenAI's GPT-5 and Google's DeepMind outperforming nearly every human team. The discussion focuses on whether this marks a real inflection point for AI, shifting from competition success to the frontier of scientific discovery. Key themes include public perception, the pace of progress, and what these results signal for the future of the field.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The 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/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

What are the most common uses of ChatGPT? In episode 73 of Mixture of Experts, host Tim Hwang is joined by Lauren McHugh, Martin Keen and Aaron Baughman to talk about a new report, How People Use ChatGPT. Next, Anthropic released an updated version of their economic index. Then, another paper, this one coming out of DeepMind on agent economies. How likely is this? Finally, how practical are AI wearables and what does a future with them look like? All that and more on today's Mixture of Experts. 00:00 – Intro 1:10 – News: Alphabet Inc. $3 Trillion Market Cap, AI could boost trade value and the animal internet 2:04 – How People Use ChatGPT 15:47 – Anthropic Economic Index 25:50 – Virtual Agent Economies 35:36 – AlterEgo The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligence Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

Hundreds of thousands strike across France over budget cuts, Saudi Arabia and Pakistan sign a mutual defense pact, Trump moves to designate antifa as a major terrorist organization, ABC suspends Jimmy Kimmel's show over his Charlie Kirk comments, the U.K. arrests three people on suspicion of spying for Russia, the U.S. Education Dept. announces a new civics effort in partnership with dozens of conservative groups, Australia sets a 2035 emissions reduction target of 62-70% below 2005 levels, a U.S. judge orders the deportation of pro-Palestinian activist Mahmoud Khalil, DeepMind and OpenAI win gold at the “coding Olympics,” and two flying cars collide mid-air at a Chinese airshow rehearsal. Sources: www.verity.news

Trevor (who is also Microsoft's “Chief Questions Officer”) and Mustafa Suleyman, CEO of Microsoft AI and co-founder of Google's DeepMind do a deep dive into whether the benefits of AI to the human race outweigh its unprecedented risks. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Would you let AI control your lights, music, and bedtime stories?Do you think tools like DeepMind Genie 3 could reshape gaming and education?Would you trust an AI to plan your weekend or book your restaurant reservations?Which of Google's new AI features excites you the most?What's your verdict on Pixel 10—smartest phone ever, or just more hype?Would you trust AI-generated financial analysis with your investments?Hey there, tech enthusiasts!

Analizamos a Diella, la primera ministra virtual de IA en Albania, y los dilemas legales que plantea para la gobernanza. Exploramos el lanzamiento de Thinking Machines Lab de Mira Murati, con su apuesta por una IA transparente y consistente que podría transformar la ciencia, la salud y la regulación. En longevidad, revisamos tres señales clave: el estudio VITAL sobre vitamina D, el interés de Putin y Xi en extender la vida, y las fuertes inversiones de Silicon Valley para lograr que la humanidad viva en promedio 150 años. Cerramos con las nuevas herramientas de IA de YouTube: Veo 3 de DeepMind y voz a música, que prometen revolucionar la creación de contenido digital. Learn more about your ad choices. Visit megaphone.fm/adchoices

At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret? “It's mostly luck,” he says, but “another part is what I think of as maximising my luck surface area.”Video, full transcript, and links to learn more: https://80k.info/nn2This means creating as many opportunities as possible for surprisingly good things to happen:Write publicly.Reach out to researchers whose work you admire.Say yes to unusual projects that seem a little scary.Nanda's own path illustrates this perfectly. He started a challenge to write one blog post per day for a month to overcome perfectionist paralysis. Those posts helped seed the field of mechanistic interpretability and, incidentally, led to meeting his partner of four years.His YouTube channel features unedited three-hour videos of him reading through famous papers and sharing thoughts. One has 30,000 views. “People were into it,” he shrugs.Most remarkably, he ended up running DeepMind's mechanistic interpretability team. He'd joined expecting to be an individual contributor, but when the team lead stepped down, he stepped up despite having no management experience. “I did not know if I was going to be good at this. I think it's gone reasonably well.”His core lesson: “You can just do things.” This sounds trite but is a useful reminder all the same. Doing things is a skill that improves with practice. Most people overestimate the risks and underestimate their ability to recover from failures. And as Neel explains, junior researchers today have a superpower previous generations lacked: large language models that can dramatically accelerate learning and research.In this extended conversation, Neel and host Rob Wiblin discuss all that and some other hot takes from Neel's four years at Google DeepMind. (And be sure to check out part one of Rob and Neel's conversation!)What did you think of the episode? https://forms.gle/6binZivKmjjiHU6dA Chapters:Cold open (00:00:00)Who's Neel Nanda? (00:01:12)Luck surface area and making the right opportunities (00:01:46)Writing cold emails that aren't insta-deleted (00:03:50)How Neel uses LLMs to get much more done (00:09:08)“If your safety work doesn't advance capabilities, it's probably bad safety work” (00:23:22)Why Neel refuses to share his p(doom) (00:27:22)How Neel went from the couch to an alignment rocketship (00:31:24)Navigating towards impact at a frontier AI company (00:39:24)How does impact differ inside and outside frontier companies? (00:49:56)Is a special skill set needed to guide large companies? (00:56:06)The benefit of risk frameworks: early preparation (01:00:05)Should people work at the safest or most reckless company? (01:05:21)Advice for getting hired by a frontier AI company (01:08:40)What makes for a good ML researcher? (01:12:57)Three stages of the research process (01:19:40)How do supervisors actually add value? (01:31:53)An AI PhD – with these timelines?! (01:34:11)Is career advice generalisable, or does everyone get the advice they don't need? (01:40:52)Remember: You can just do things (01:43:51)This episode was recorded on July 21.Video editing: Simon Monsour and Luke MonsourAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellCamera operator: Jeremy ChevillotteCoordination, transcriptions, and web: Katy Moore

Ryan Julian is a research scientist in embodied AI. He worked on large-scale robotics foundation models at DeepMind and got his PhD in machine learning at USC in 2021. In our conversation today, we discuss… What makes a robot a robot, and what makes robotics so difficult, The promise of robotic foundation models and strategies to overcome the data bottleneck, Why full labor replacement is far less likely than human-robot synergy, China's top players in the robotic industry, and what sets them apart from American companies and research institutions, How robots will impact manufacturing, and how quickly we can expect to see robotics take off. O*NET's ontology of labor: http://onetcenter.org/database.html ChinaTalk's Unitree coverage: https://www.chinatalk.media/p/unitree-ceo-on-chinas-robot-revolution Robotics reading recommendations: Chris Paxton, Ted Xiao, C Zhang, and The Humanoid Hub on X. You can also check out the General Robots and Learning and Control Substacks, Vincent Vanhoucke on Medium, and IEEE's robotics coverage. Today's podcast is brought to you by 80,000 Hours, a nonprofit that helps people find fulfilling careers that do good. 80,000 Hours — named for the average length of a career — has been doing in-depth research on AI issues for over a decade, producing reports on how the US and China can manage existential risk, scenarios for potential AI catastrophe, and examining the concrete steps you can take to help ensure AI development goes well. Their research suggests that working to reduce risks from advanced AI could be one of the most impactful ways to make a positive difference in the world. They provide free resources to help you contribute, including: Detailed career reviews for paths like AI safety technical research, AI governance, information security, and AI hardware, A job board with hundreds of high-impact opportunities, A podcast featuring deep conversations with experts like Carl Shulman, Ajeya Cotra, and Tom Davidson, Free, one-on-one career advising to help you find your best fit. To learn more and access their research-backed career guides, visit 80000hours.org/ChinaTalk. To read their report about AI coordination between the US and China, visit http://80000hours.org/chinatalkcoord. Outro music: Daft Punk - Motherboard (⁠YouTube Link⁠) Learn more about your ad choices. Visit megaphone.fm/adchoices

Ryan Julian is a research scientist in embodied AI. He worked on large-scale robotics foundation models at DeepMind and got his PhD in machine learning at USC in 2021. In our conversation today, we discuss… What makes a robot a robot, and what makes robotics so difficult, The promise of robotic foundation models and strategies to overcome the data bottleneck, Why full labor replacement is far less likely than human-robot synergy, China's top players in the robotic industry, and what sets them apart from American companies and research institutions, How robots will impact manufacturing, and how quickly we can expect to see robotics take off. O*NET's ontology of labor: http://onetcenter.org/database.html ChinaTalk's Unitree coverage: https://www.chinatalk.media/p/unitree-ceo-on-chinas-robot-revolution Robotics reading recommendations: Chris Paxton, Ted Xiao, C Zhang, and The Humanoid Hub on X. You can also check out the General Robots and Learning and Control Substacks, Vincent Vanhoucke on Medium, and IEEE's robotics coverage. Today's podcast is brought to you by 80,000 Hours, a nonprofit that helps people find fulfilling careers that do good. 80,000 Hours — named for the average length of a career — has been doing in-depth research on AI issues for over a decade, producing reports on how the US and China can manage existential risk, scenarios for potential AI catastrophe, and examining the concrete steps you can take to help ensure AI development goes well. Their research suggests that working to reduce risks from advanced AI could be one of the most impactful ways to make a positive difference in the world. They provide free resources to help you contribute, including: Detailed career reviews for paths like AI safety technical research, AI governance, information security, and AI hardware, A job board with hundreds of high-impact opportunities, A podcast featuring deep conversations with experts like Carl Shulman, Ajeya Cotra, and Tom Davidson, Free, one-on-one career advising to help you find your best fit. To learn more and access their research-backed career guides, visit 80000hours.org/ChinaTalk. To read their report about AI coordination between the US and China, visit http://80000hours.org/chinatalkcoord. Outro music: Daft Punk - Motherboard (⁠YouTube Link⁠) Learn more about your ad choices. Visit megaphone.fm/adchoices

In this weeks podcast Dan and Ray have a conversation about education with Dr Simon Breakspear.    Simon is a globally respected expert in educational leadership and innovation, known for his insightful work on transforming learning environments.  His forward thinking ideas around education are reshaping the way schools and school systems are thinking about teaching, learning and leadership.       In this episode we talk about:   Distinction Between Productivity and Pedagogical Uses of AI: Simon, Dan, and Ray discussed the critical distinction between using AI for productivity tasks in education (such as administrative work and report summarisation) and for pedagogical purposes, emphasising that while AI can greatly enhance productivity for adults, its use in learning processes for students requires careful consideration to avoid undermining cognitive development.   Human Development and the Role of Analogue Learning: Simon argued that foundational human development—such as reading, writing, and critical thinking—should precede the use of AI in learning, with Dan and Ray supporting the view that analogue learning experiences are crucial for building the cognitive and personal skills necessary for effective future use of AI.   Guidance for School Leaders and Teachers on Navigating AI Integration: Ray and Dan sought practical advice from Simon for school leaders and teachers facing pressure to adopt AI, with Simon recommending a cautious, evidence-based approach that prioritises human development, leverages AI for productivity gains, and introduces AI into learning processes only where it demonstrably enhances educational outcomes.   Changing Role of Teachers in the Age of AI: Ray questions whether the role of teachers must change with AI, and Simon responded that while some administrative tasks may be automated, the core human functions of teaching—motivating, engaging, and forming students—will become even more critical, with teachers needing to exercise professional judgement about when and how to use AI in the classroom.   Ethical and Equity Considerations in AI Adoption: Dan and Simon discussed the ethical implications and potential inequities arising from AI adoption in education, highlighting concerns that uneven access and premature augmentation could disadvantage certain groups of students and create disparities in skills and opportunities.   Practical Strategies for Selective AI Integration: Simon provided practical strategies for integrating AI into education, recommending that schools focus on specific, evidence-based learning processes where AI can add value, such as feedback and retrieval practice, and to avoid being overwhelmed by the proliferation of AI tools.   Long-Term Purpose of Education Amidst Technological Change: Simon concluded that the ultimate goal of education is not solely economic productivity but the holistic formation of human beings, arguing that enduring human skills, identity, and community are essential for resilience in an unpredictable future, regardless of technological advancements.     Links: Dr Simon Breakspear | Speaker. Author. Researcher. The pruning principle: The Pruning Principle: Mastering the Art of Strategic Subtraction Within Education : Breakspear, Dr Simon, Rosenbrock, Michael: Amazon.com.au: Books     Research and Historical References Mentioned • Learning Science & Cognitive Development: Simon referenced the work of Kirschner and Sweller on learning as a change in long-term memory, including declarative and procedural knowledge.  Rethinking Cognitive Load Theory for Collaborative Learning - kirschner-ED   • Lindy Effect (Nassim Taleb): Simon discusses the Lindy effect, suggesting that things valuable for a long time (like bicycles or spoons) are likely to remain valuable, as a way to think about educational priorities amid rapid technological change.  Lindy effect - Wikipedia    • Daisy Christodoulou: Simon cites Daisy Christodoulou's perspective that while AI may be a better writer, it cannot know what you actually think, emphasizing the importance of writing as a way to learn how to think.   Welcome - Daisy Christodoulou  |  21st century skills: what are they and how can we teach them? Daisy Christodoulou   • Historical Technology Adoption in Education: Simon refers to the rollout of one-to-one devices and mobile phones in schools, highlighting unintended consequences for attention and learning, and drawing lessons for AI adoption.  NSW Government begins mobile phone ban in public high schools  • Mathematics Education Practice: Simon references the established practice of delaying calculator use in mathematics until foundational skills are developed, as an analogy for AI use in learning.   Calculator Use - National Council of Teachers of Mathematics   • DeepMind CEO on Coding: Simon mentions a recent interview with the CEO of DeepMind, who argues that understanding how things work is necessary, even if AI can code better than humans. Google's DeepMind CEO says there are bigger risks to worry about than AI taking our jobs   

Get 40% off Ground News' unlimited access Vantage Plan at https://ground.news/airisk for only $5/month, explore how stories are framed worldwide and across the political spectrum.TAKE ACTION TO DEMAND AI SAFETY LAWS: https://safe.ai/actIn Episode 69 of For Humanity: An AI Risk Podcast, we explore one of the most striking acts of activism in the AI debate: hunger strikes aimed at pushing Big Tech to prioritize safety over speed.Michael and Dennis, two AI safety advocates, join John from outside DeepMind's London headquarters, where they are staging hunger strikes to demand that frontier AI development be paused. Inspired by Guido's protest in San Francisco, they are risking their health to push tech leaders like Demis Hassabis to make public commitments to slow down the AI race.This episode looks at how ordinary people are taking extraordinary steps to demand accountability, why this form of protest is gaining attention, and what history tells us about the power of public pressure. In this conversation, you'll discover: * Why hunger strikers believe urgent action on AI safety is necessary* How Big Tech companies are responding to growing public concern* The role of parents, workers, and communities in shaping AI policy* Parallels with past social movements that drove real change* Practical ways you can make your voice heard in the AI safety conversationThis isn't just about technology—it's about responsibility, leadership, and the choices we make for future generations.

David Abel is a Senior Research Scientist at DeepMind on the Agency team, and an Honorary Fellow at the University of Edinburgh. His research blends computer science and philosophy, exploring foundational questions about reinforcement learning, definitions, and the nature of agency.  Featured References  Plasticity as the Mirror of Empowerment   David Abel, Michael Bowling, André Barreto, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh  A Definition of Continual RL   David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh  Agency is Frame-Dependent   David Abel, André Barreto, Michael Bowling, Will Dabney, Shi Dong, Steven Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh  On the Expressivity of Markov Reward   David Abel, Will Dabney, Anna Harutyunyan, Mark Ho, Michael Littman, Doina Precup, Satinder Singh — Outstanding Paper Award, NeurIPS 2021  Additional References  Bidirectional Communication Theory — Marko 1973  Causality, Feedback and Directed Information — Massey 1990  The Big World Hypothesis — Javed et al. 2024  Loss of plasticity in deep continual learning — Dohare et al. 2024  Three Dogmas of Reinforcement Learning — Abel 2024  Explaining dopamine through prediction errors and beyond — Gershman et al. 2024  David Abel Google Scholar  David Abel personal website  

How big of trouble is Apple in when it comes to AI?It's so bad they're enlisting the help of their chief rival to do so: Google. What's that mean for Google, and will the world FINALLY have an AI-powered Siri after years of broken promises?Tune in and find out. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Apple and Google Partnership for AIApple's Ongoing AI Strategy FailuresBloomberg Report: Gemini AI IntegrationSiri AI Overhaul With Google GeminiTechnical Details: Gemini on Apple ServersWorld Knowledge Answers Feature LaunchApple's AI Talent Exodus to CompetitorsLegal Risks and AI Feature LawsuitsImpact on Big Tech Competitive LandscapePotential Timeline for Smarter Siri ReleaseTimestamps:00:00 "Everyday AI: Daily Insights"04:35 Apple's Rivalry and AI Struggles09:03 Smart Assistants' Evolution and Apple's Challenge10:15 Apple's AI-Powered Answer Engine15:54 Apple's Private Cloud Security Architecture17:53 Apple Expands Siri with Google AI21:23 Apple's AI Ambitions and Challenges26:06 Apple's AI Talent Exodus30:49 Apple AI Team Exodus32:48 Apple's Reliance on Google Dominance35:04 "Siri's 2026 Update and Industry Impact"38:44 Support and Stay UpdatedKeywords:Apple, Google, Apple and Google partnership, Apple Intelligence, generative AI, Google Gemini, AI relevance, Siri, Siri failures, large language models, chief rival collaboration, Big Tech AI, market cap, AI-powered web search, AI search engine, Bloomberg report, AI features, AI partnership, AI summarizer, Apple AI delays, technological rivalry, OpenAI, Anthropic, Perplexity, AI foundation models, custom AI model, Private Cloud Compute, privacy architecture, AI talent exodus, machine learning, Apple lawsuits, false advertising, AI market competition, AI integration, hardware vs. software, ChatGPT alternative, Spotlight search, Safari AI integration, AI-driven device functionality, Meta, DeepMind, Microsoft AI, AI-powered summaries, web summarization, device intelligence, AI-powered assistants, smart assistant shortcomingsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

On Wednesday, Orchard Robotics announced that it raised a $22 million Series A funding led by Quiet Capital and Shine Capital, and with participation from returning investors, including General Catalyst and Contrary. Although the idea of using computer vision for specialty crops isn't new, Wu says that the largest farms in the U.S. still rely on manual sampling to make critical decisions about farm operations. Also, French AI startup Mistral AI is finalizing a €2 billion investment at a post-money valuation of $14 billion, reports Bloomberg, positioning the company as one of Europe's most valuable tech startups. The two-year-old OpenAI rival, founded by former DeepMind and Meta researchers, develops open source language models and Le Chat, its AI chatbot built for European audiences. Learn more about your ad choices. Visit podcastchoices.com/adchoices

La inteligencia artificial no es el futuro… es la ola que ya empezó y no se puede detener. En este episodio te contamos lo que aprendimos de The Coming Wave, el libro más brutal sobre el futuro de la IA, escrito por uno de los fundadores de DeepMind.Hablamos de armas biológicas hechas desde tu laptop, AGIs que piensan como humanos, gobiernos inútiles, modelos que aprenden solos y sistemas que podrían salirse de control en cualquier momento.¿Qué podemos hacer los humanos comunes ante este futuro distópico?

Want to Master AI Agents in 2025? Get the guide: https://clickhubspot.com/etv Episode 73: What's really holding back the future of AI—and are we truly prepared for what comes next? Matt Wolfe (https://x.com/mreflow) is joined by Mustafa Suleyman (https://x.com/mustafasuleyman), legendary AI innovator, co-founder of DeepMind, former founder of Inflection AI, and now CEO of Microsoft AI, where he's leading the massive Copilot transformation. This episode unpacks the myths around AI's “training wall,” whether hallucinations are actually a feature instead of a bug, the dawn of the agentic era—where AIs don't just chat, but plan and act for you—and the shifting landscape for software builders as anyone can ship products in minutes. Mustafa also shares firsthand stories and practical advice for leveraging today's AI—from offloading tasks to agents THIS WEEK, to why moats aren't about headcount or credentials in the new era. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Insights with Mustafa Suleyman (03:31) Adapting AI Amid Data Challenges (07:31) Technology's Misleading Terminology (12:16) Tool Use Defines Human Progress (15:49) Revolutionizing Code with AI Tools (16:31) Competitive Innovation Boom Ahead — Mentions: Mustafa Suleyman: https://mustafa-suleyman.ai/ Microsoft AI: https://www.microsoft.com/en-us/ai DeepMind: https://deepmind.google/ Inflection: https://inflection.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Humayun Sheikh, Founder and CEO of Fetch.ai. He is an entrepreneur, investor, and a tech visionary who is passionate about technologies such as AI, machine learning, autonomous agents, and blockchains. In the past, he was a founding investor in DeepMind, where he supported commercialisation for early-stage AI & deep neural network technology. Currently, he is leading Fetch.ai as a CEO and co-founder, a start-up building the autonomy of the future. He is an expert on the topics of artificial intelligence, machine learning, autonomous agents, as well as the intersection of blockchain and commodities. In this conversation, we discuss:- AI outlook for the next couple years - The acceleration of AI - AI will unlock two main things: quantum compute and biotech - AI agents in crypto - Providing everyone an agentic system out of the box - Why is $FET undervalued? - The $FET Crypto Treasury News - Decentralized AI agents - AI & jobs Fetch.ai Website: Fetch.aiX: @Fetch_ai Discord: discord.gg/fetchaiHumayun SheikhX: @HMsheikh4 LinkedIn: Humayun Sheikh---------------------------------------------------------------------------------This episode is brought to you by EMCD.EMCD is a trailblazer in the Web3 fintech space, committed to redefining finance with a human-centered approach. For seven years, EMCD has been building tools that empower a diverse community of miners, traders, investors, digital nomads, and entrepreneurs. What started as a determined startup mining pool has grown into a global force, once ranking among the top 10 Bitcoin mining pools worldwide. Today, EMCD's mission is broader and bolder: creating innovative Web3 financial solutions that make wealth-building accessible to everyone, no matter where they are. Their platform enables users to grow assets without the stress of chasing volatile market trends or timing every dip and spike. By prioritizing purpose over hype, EMCD is crafting a future where finance serves individuals, not just markets. Dive into their vision and explore their cutting-edge tools at emcd.io.

Mustafa Suleyman, CEO of AI at Microsoft and co-founder of DeepMind, has published a provocative essay warning about the dangers of “seemingly conscious AI.” On today's Big Think edition of The AI Daily Brief, we explore his argument that as AI systems develop memory, personality, and the illusion of subjective experience, people may begin treating them as conscious beings—with profound consequences for society, law, and human identity. We dig into Suleyman's case for why this illusion matters more than the question of whether AI is actually conscious, the risks of model welfare debates, and why industry norms may need to change now.Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? nlw@breakdown.network

A veteran Pulitzer Prize-winning journalist shadows the top thinkers in the field of Artificial Intelligence, introducing the breakthroughs and developments that will change the way we live and work. Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI's moment finally arrived? In AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence (Harper Collins, 2025), Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.” Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650 million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace. On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what's around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

A veteran Pulitzer Prize-winning journalist shadows the top thinkers in the field of Artificial Intelligence, introducing the breakthroughs and developments that will change the way we live and work. Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI's moment finally arrived? In AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence (Harper Collins, 2025), Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.” Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650 million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace. On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what's around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

This week's episode of The Refresh dives into Walmart's evolving partnership with The Trade Desk, signaling potential changes in retail media alliances. We explore Google's use of large language models to combat ad fraud, achieving significant reductions in invalid traffic. Finally, we break down Variety's latest upfronts report, showing a continued decline in primetime TV ad commitments and notable growth in streaming investment. This week we cover: Walmart and The Trade Desk's relationship is moving from exclusive to open, raising questions about Walmart's retail data strategy and potential in-house platform development. The Trade Desk faces growing competition from vertically integrated giants like Amazon, Google, and Meta, which benefit from owned inventory and rich first-party data. Google's traffic quality team, in collaboration with Google Research and DeepMind, deployed large language models to detect and reduce mobile invalid traffic by 40%. Variety reports primetime TV ad commitments fell for the third consecutive year, with broadcast down 2.5% and cable down 4.3%. Streaming ad commitments surged nearly 18% year over year, driven by advanced targeting, programmatic buying opportunities, and high-value live sports content moving to digital platforms. Learn more about your ad choices. Visit megaphone.fm/adchoices

What happens when a world-class mathematician meets '80s college radio, Bill Gates' top-10 favorite books, and a host with an algebra redemption arc? A surprisingly funny, fast-moving conversation. Dr. Jordan Ellenberg—John D. MacArthur Professor of Mathematics at UW–Madison and author of How Not to Be Wrong—swaps stories about The Housemartins, consulting on NUMB3RS (yes, one of his lines aired), and competing at the International Mathematical Olympiad. There's a lot of laughter—and a fresh way to see math as culture, craft, and curiosity.But we also get practical about math education. We discuss the love/hate split students have for math and what it implies for curriculum design; a century of “new” methods (and if anything is truly new); how movie tropes (Good Will Hunting, etc.) shape student identity in math; soccer-drills vs scrimmage as a frame for algebra practice and “honest” applications; grades as feedback vs record; AI shifting what counts as computation vs math; why benchmarks miss the point and the risk of lowering writing standards with LLMs; and a preview of Jordan's pro-uncertainty thesis.Listen to Learn: A better answer to “Why am I learning this?” using a soccer analogyThe two big off-ramps of math for students, and tactics that keep more students on boardHow to replace the “born genius” myth with a mindset that helps any student do mathWhen a grade is a record vs. a motivator, and a simple replacement policy that turns a rough start into effort and growthWhat AI will and won't change in math class, and why “does it help create new math?” matters more than benchmark scores3 Big Takeaways from this Episode:1. Math mastery comes from practice plus meaning, not a “born genius.” Jordan puts it plainly: “genius is a thing that happens, not a kind of person,” and he uses the soccer drills vs scrimmage analogy to pair targeted practice with real tasks, with algebraic manipulation as a core high school skill. He urges teachers to “throw a lot of spaghetti at the wall” so different explanations land for different students, because real innovation is iterative and cooperative.2. Students fall off at fractions and Algebra I. How do we pull them back? Jordan names those two moments as the big off-ramps and points to multiple representations, honest applications, and frequent low‑stakes practice to keep kids in. Matt's own algebra story shows how a replacement policy turned failure into effort and persistence, reframing grades as motivation rather than just record‑keeping.3. AI will shift our capabilities and limits in math, but math is still a human task. Calculators and Wolfram already do student‑level work, and Jordan argues benchmarks like DeepMind vs the International Mathematical Olympiad matter less than whether tools help create new mathematics. He also warns against letting LLMs lower writing standards and says the real test is whether these systems add substantive math, not just win contests.Resources in this Episode:Visit Jordan Ellenberg's website! jordanellenberg.comRead How Not to Be Wrong: The Power of Mathematical ThinkingWe want to hear from you! Send us a text.Instagram - Facebook - YouTube - TikTok - Twitter - LinkedIn

OpenAI released GPT-5, and it's.... polarizing?Google dropped something kinda outta this world.And Anthropic picked a bad week to drop a new model.This week was one of the busiest in AI of the year. If you missed anything, this is your one-stop shot to get caught up. On Mondays, Everyday AI brings you the AI News That Matters. No fluff. No B.S. Just the meaningful AI news that impacts us all. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Releases GPT-5—Smarter, Faster ModelGPT-5 Integration in Microsoft Copilot, AzureApple Intelligence Announces GPT-5 IntegrationGPT-5 Multimodal Input and Output FeaturesGPT-5 Rollout Issues and Model Router BugsAnthropic Launches Claude Opus 4.1 UpdateGoogle Genie 3 World Model DemonstrationOpenAI Debuts GPT OSS Open Source ModelGoogle Gemini Guided Learning LaunchesEleven Labs Releases AI Music GeneratorMeta Forms TBD Lab for Llama ModelsChatGPT Plus Plan Rate Limit ControversyUser Backlash Over Removal of Old ModelsCompetition Among AI Model Providers EscalatesTimestamps:00:00 GPT-5's Global Impact Unveiled03:22 "GPT-5: Stellar Yet Polarizing Release"06:23 "OpenAI's Impactful GPT-5 Update"11:51 "GPT-5 Integration Expands Microsoft Reach"13:19 Microsoft Integrates GPT-5 in AI Tools17:15 "GPT-5 Surpasses, OpenAI's Model Looms"23:18 "Guided Learning with Google Gemini"25:26 "AI Integration Critique in Education"30:40 AI Industry Disruption by GPT OSS34:49 AI Advances: Genie 3 Unveiled37:54 AI Video in World Simulators42:23 ChatGPT Plus Users Gain Higher Limits46:36 Altman on Unhealthy AI Dependencies49:41 Tech Updates: New Releases and Controversies51:24 Tech Giants Launch Major AI ModelsKeywords:GPT-5, OpenAI, AI news, large language model, ChatGPT, Microsoft Copilot, Apple Intelligence, iOS 26, multimodal model, model router, reasoning models, AI hallucinations, factual accuracy, AI safety, customization, API pricing, Anthropic, Claude Opus 4.1, agentic tasks, software engineering, coding assistant, Google Genie 3, world model, DeepMind, persistent environments, embodied AI, physical mechanics, AI video generation, Sora, AI benchmarking, LM Arena, Google Gemini 2.5 Pro, Guided Learning, LearnLM, Gemini Experiences, active learning AI, AI in education, AI partnerships, Apple integration, real-time rSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Plus: Microsoft is raiding Google's DeepMind for talent to bolster its AI ambitions. And, United Airlines resumes flights after a tech issue causes widespread delays. Azhar Sukri hosts. Sign up for WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's show Patrick Gray and Adam Boileau discuss the week's cybersecurity news. Google security engineering VP Heather Adkins drops by to talk about their AI bug hunter, and Risky Business producer Amberleigh Jack makes her main show debut. This episode explores the rise of AI-powered bug hunting: Google's Project Zero and Deepmind team up to find and report 20 bugs to open source projects The XBOW AI bug hunting platform sees success on HackerOne Is an AI James Kettle on the horizon? There's also plenty of regular cybersecurity news to discuss: On-prem Sharepoint's codebase is maintained out of China… awkward! China frets about the US backdooring its NVIDIA chips, how you like ‘dem apples, China? SonicWall advises customers to turn off their VPNs Hardware controlling Dell laptop fingerprint and card readers has nasty driver bugs Russia uses its ISPs to in-the-middle embassy computers and backdoor ‘em. The Russian government pushes VK's Max messenger for everything This week's show is sponsored by device management platform Devicie. Head of Solutions Sean Ollerton talks through the impending Windows 10 apocalypse, as Microsoft ends mainstream support. He says Windows 11 isn't as scary as people make out, but if the update isn't on your radar now, time is running out. This episode is also available on Youtube. Show notes Google says its AI-based bug hunter found 20 security vulnerabilities | TechCrunch Is XBOW's success the beginning of the end of human-led bug hunting? Not yet. | CyberScoop James Kettle on X: "There I am being careful to balance hyping my talk without going too far and then this gets published

Today on HR Heretics, Kelli and Nolan analyze the controversial Windsurf acquisition prompted by Windsurf employee #2's explosive social media post about receiving only 1% equity payout despite Google's $2 billion deal, highlighting Silicon Valley's eroding compensation norms.*Email us your questions or topics for Kelli & Nolan: hrheretics@turpentine.coFor coaching and advising inquire at https://kellidragovich.com/HR Heretics is a podcast from Turpentine.Support HR Heretics Sponsors:Planful empowers teams just like yours to unlock the secrets of successful workforce planning. Use data-driven insights to develop accurate forecasts, close hiring gaps, and adjust talent acquisition plans collaboratively based on costs today and into the future. ✍️ Go to https://planful.com/heretics to see how you can transform your HR strategy.Metaview is the AI platform built for recruiting. Our suite of AI agents work across your hiring process to save time, boost decision quality, and elevate the candidate experience.Learn why team builders at 3,000+ cutting-edge companies like Brex, Deel, and Quora can't live without Metaview.It only takes minutes to get up and running. Check it out!KEEP UP WITH NOLAN + KELLI ON LINKEDINNolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—TIMESTAMPS:(00:00) Intro(00:13) Prem's Bombshell Tweet(01:32) The DeepMind vs Cognition Choice(02:16) Clarifying the Exploding Offer(04:15) Kelly's Google Looker Experience(05:00) Why Contract Protections Don't Matter(06:07) Leadership Accountability(07:16) Silicon Valley's Broken Unwritten Rules(08:38) Sponsors: Planful | Metaview(11:37) Culture vs Money in Acquisitions(13:00) First Principles: The New Acquisition Reality(14:56) Gary Tan's Tone-Deaf Response(15:41) The Chaos of Modern Tech(17:00) The Power of Social Media Transparency(17:49) Wrap-Up This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

This episode features Shlomi Fuchter and Jack Parker Holder from Google DeepMind, who are unveiling a new AI called Genie 3. The host, Tim Scarfe, describes it as the most mind-blowing technology he has ever seen. We were invited to their offices to conduct the interview (not sponsored).Imagine you could create a video game world just by describing it. That's what Genie 3 does. It's an AI "world model" that learns how the real world works by watching massive amounts of video. Unlike a normal video game engine (like Unreal or the one for Doom) that needs to be programmed manually, Genie generates a realistic, interactive, 3D world from a simple text prompt.**SPONSOR MESSAGES***Prolific: Quality data. From real people. For faster breakthroughs.https://prolific.com/mlst?utm_campaign=98404559-MLST&utm_source=youtube&utm_medium=podcast&utm_content=script-gen***Here's a breakdown of what makes it so revolutionary:From Text to a Virtual World: You can type "a drone flying by a beautiful lake" or "a ski slope," and Genie 3 creates that world for you in about three seconds. You can then navigate and interact with it in real-time.It's Consistent: The worlds it creates have a reliable memory. If you look away from an object and then look back, it will still be there, just as it was. The guests explain that this consistency isn't explicitly programmed in; it's a surprising, "emergent" capability of the powerful AI model.A Huge Leap Forward: The previous version, Genie 2, was a major step, but it wasn't fast enough for real-time interaction and was much lower resolution. Genie 3 is 720p, interactive, and photorealistic, running smoothly for several minutes at a time.The Killer App - Training Robots: Beyond entertainment, the team sees Genie 3 as a game-changer for training AI. Instead of training a self-driving car or a robot in the real world (which is slow and dangerous), you can create infinite simulations. You can even prompt rare events to happen, like a deer running across the road, to teach an AI how to handle unexpected situations safely.The Future of Entertainment: this could lead to a "YouTube version 2" or a new form of VR, where users can create and explore endless, interconnected worlds together, like the experience machine from philosophy.While the technology is still a research prototype and not yet available to the public, it represents a monumental step towards creating true artificial worlds from the ground up.Jack Parker Holder [Research Scientist at Google DeepMind in the Open-Endedness Team]https://jparkerholder.github.io/Shlomi Fruchter [Research Director, Google DeepMind]https://shlomifruchter.github.io/TOC:[00:00:00] - Introduction: "The Most Mind-Blowing Technology I've Ever Seen"[00:02:30] - The Evolution from Genie 1 to Genie 2[00:04:30] - Enter Genie 3: Photorealistic, Interactive Worlds from Text[00:07:00] - Promptable World Events & Training Self-Driving Cars[00:14:21] - Guest Introductions: Shlomi Fuchter & Jack Parker Holder[00:15:08] - Core Concepts: What is a "World Model"?[00:19:30] - The Challenge of Consistency in a Generated World[00:21:15] - Context: The Neural Network Doom Simulation[00:25:25] - How Do You Measure the Quality of a World Model?[00:28:09] - The Vision: Using Genie to Train Advanced Robots[00:32:21] - Open-Endedness: Human Skill and Prompting Creativity[00:38:15] - The Future: Is This the Next YouTube or VR?[00:42:18] - The Next Step: Multi-Agent Simulations[00:52:51] - Limitations: Thinking, Computation, and the Sim-to-Real Gap[00:58:07] - Conclusion & The Future of Game EnginesREFS:World Models [David Ha, Jürgen Schmidhuber]https://arxiv.org/abs/1803.10122POEThttps://arxiv.org/abs/1901.01753[Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley]The Fractured Entangled Representation Hypothesishttps://arxiv.org/pdf/2505.11581TRANSCRIPT:https://app.rescript.info/public/share/Zk5tZXk6mb06yYOFh6nSja7Lg6_qZkgkuXQ-kl5AJqM

Demis Hassabis, a pioneer in artificial intelligence, is shaping the future of humanity. As the CEO of Google DeepMind, he was first interviewed by correspondent Scott Pelley in 2023, during a time when chatbots marked the beginning of a new technological era. Since that interview, Hassabis has made headlines for his innovative work, including using an AI model to predict the structure of proteins, which earned him a Nobel Prize. Pelley returns to DeepMind's headquarters in London to discuss what's next for Hassabis, particularly his leadership in the effort to develop artificial general intelligence (AGI) – a type of AI that has the potential to match the versatility and creativity of the human brain. Fertility rates in the United States are currently near historic lows, largely because fewer women are having children in their 20s. As women delay starting families, many are opting for egg freezing, the process of retrieving and freezing unfertilized eggs, to preserve their fertility for the future. Does egg freezing provide women with a way to pause their biological clock? Correspondent Lesley Stahl interviews women who have decided to freeze their eggs and explores what the process entails physically, emotionally and financially. She also speaks with fertility specialists and an ethicist about success rates, equity issues and the increasing market potential of egg freezing. This is a double-length segment. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Dimitri and Khalid speak with academic and Substack writer Vincent Lê about the current fevered dystopian landscape of AI, including: the Silicon Valley philosophy of "Rationalism", the Zizian cult, the qualitative difference between LLMs and self-training AIs like AlphaGo and DeepMind, AlphaGo mastering the ancient Chinese game Go, Scott Boorman's 1969 book "Protracted Game: A Wei-ch'i Interpretation of Maoist Revolutionary Strategy", Capital as the first true AGI system, the Bolshevik Revolution as the greatest attempt to build a friendly alternative AGI, and more...part one of two. Vincent's Substack: https://vincentl3.substack.com

Support the show to get full episodes, full archive, and join the Discord community. The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists. Read more about our partnership. Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released. To explore more neuroscience news and perspectives, visit thetransmitter.org. Do AI engineers need to emulate some processes and features found only in living organisms at the moment, like how brains are inextricably integrated with bodies? Is consciousness necessary for AI entities if we want them to play nice with us? Is quantum physics part of that story, or a key part, or the key part? Jennifer Prendki believes if we continue to scale AI, it will get us more of the same of what we have today, and that we should look to biology, life, and possibly consciousness to enhance AI. Jennifer is a former particle physicist turned entrepreneur and AI expert, focusing on curating the right kinds and forms of data to train AI, and in that vein she led those efforts at Deepmind on the foundation models ubiquitous in our lives now. I was curious why someone with that background would come to the conclusion that AI needs inspiration from life, biology, and consciousness to move forward gracefully, and that it would be useful to better understand those processes in ourselves before trying to build what some people call AGI, whatever that is. Her perspective is a rarity among her cohorts, which we also discuss. And get this: she's interested in these topics because she cares about what happens to the planet and to us as a species. Perhaps also a rarity among those charging ahead to dominate profits and win the race Jennifer's website: Quantum of Data. The blog posts we discuss: The Myth of Emergence Embodiment & Sentience: Why the Body still Matters The Architecture of Synthetic Consciousness On Time and Consciousness Superalignment and the Question of AI Personhood. 0:00 - Intro 3:25 - Jennifer's background 13:10 - Consciousness 16:38 - Life and consciousness 23:16 - Superalignment 40:11 - Quantum 1:04:45 - Wetware and biological mimicry 1:15:03 - Neural interfaces 1:16:48 - AI ethics 1:2:35 - AI models are not models 1:27:13 - What scaling will get us 1:39:53 - Current roadblocks 1:43:19 - Philosophy

In this episode, Colin and Samir sit down with Mustafa Suleyman, CEO of Microsoft AI and co-founder of DeepMind, for a conversation about the future of artificial intelligence and what it means for creators, culture, and the future of the internet. Mustafa shares how his journey from running a juice stand in Camden Market to building one of the world's leading AI companies has shaped his view of technology and society. We dive into the emotional and creative potential of AI companions, the importance of trust and brand in the age of generative tools, and why the digital spaces we work in need more texture, personality, and "digital patina." Whether you're a creator, founder, or just trying to understand where the internet is going, this conversation will spark new ideas—and probably change the way you think about the future. Learn more about your ad choices. Visit megaphone.fm/adchoices

Mustafa Suleyman is a key figure in the artificial intelligence world. He's Microsoft AI CEO, with roots in Google's DeepMind and Inflection AI. Suleyman recently joined WSJ columnists Christopher Mims and Tim Higgins on an episode of their Bold Names podcast. They discuss why AI assistants are central to Microsoft's AI future, the company's relationship with OpenAI, and what Suleyman really thinks about “artificial general intelligence.” Tech News Briefing brings you an encore of that episode. Listen and subscribe to Bold Names. Learn more about your ad choices. Visit megaphone.fm/adchoices