Podcasts about DeepMind

What does it take to build AI-powered products that scale? In this episode, we are joined by Jonathan Evens, Product Lead at Google DeepMind, to explore the evolving role of product management in the AI era. Jonathan draws from experience across startups and Big Tech, ranging from smart grid systems to LLM-powered search, to reveal how high-impact AI products come to life. He breaks down DeepMind's journey launching “AI Overviews” in Search, from beta testing in May 2023 to worldwide rollout just six months later. Jonathan also shares frameworks for balancing problem-led versus technology-led thinking, future-proofing AI roadmaps, and making intelligent experiences (not just features) the north star. He's here to help product teams demystify LLMs and launch bold AI functionality with nimble development cycles. Tune in to gain practical advice for integrating AI thoughtfully, iterating quickly, and delivering real value.

Our 212th episode with a summary and discussion of last week's big AI news! Recorded on 06/33/2025 Hosted by Andrey Kurenkov and Jeremie Harris. 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 introduces O3 PRO for ChatGPT, highlighting significant improvements in performance and cost-efficiency. Anthropic sees an influx of talent from OpenAI and DeepMind, with significantly higher retention rates and competitive advantages in AI capabilities. New research indicates that reinforcing negative responses in LLMs significantly improves performance across all metrics, highlighting novel approaches in reinforcement learning. A security flaw in Microsoft Copilot demonstrates the growing risk of AI agents being hacked, emphasizing the need for robust protection against zero-click attacks. Timestamps + Links: (00:00:11) Intro / Banter (00:01:31) News Preview (00:02:46) Response to Listener Reviews Tools & Apps (00:04:48) OpenAI adds o3 Pro to ChatGPT and drops o3 price by 80 per cent, but open-source AI is delayed (00:09:10) Cursor AI editor hits 1.0 milestone, including BugBot and high-risk background agents (00:13:07) Mistral releases a pair of AI reasoning models (00:16:18) Elevenlabs' Eleven v3 lets AI voices whisper, laugh and express emotions naturally (00:19:00) ByteDance's Seedance 1.0 is trading blows with Google's Veo 3 (00:22:42) Google Reveals $20 AI Pro Plan With Veo 3 Fast Video Generator For Budget Creators Applications & Business (00:25:42) OpenAI and DeepMind are losing engineers to Anthropic in a one-sided talent war (00:34:32) OpenAI slams court order to save all ChatGPT logs, including deleted chats (00:37:24) Nvidia's Biggest Chinese Rival Huawei Struggles to Win at Home (00:43:06) Huawei Expected to Break Semiconductor Barriers with Development of High-End 3nm GAA Chips; Tape-Out by 2026 (00:45:21) TSMC's 1.4nm Process, Also Called Angstrom, Will Make Even The Most Lucrative Clients Think Twice When Placing Orders, With An Estimate Claiming That Each Wafer Will Cost $45,000 (00:47:43) Mistral AI Launches Mistral Compute To Replace Cloud Providers from US, China Projects & Open Source (00:51:26) ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Research & Advancements (00:57:27) Kinetics: Rethinking Test-Time Scaling Laws (01:05:12) The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning (01:10:45) Predicting Empirical AI Research Outcomes with Language Models (01:15:02) EXP-Bench: Can AI Conduct AI Research Experiments? Policy & Safety (01:20:07) Large Language Models Often Know When They Are Being Evaluated (01:24:56) Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence (01:31:16) Exclusive: New Microsoft Copilot flaw signals broader risk of AI agents being hacked—‘I would be terrified' (01:35:01) Claude Gov Models for U.S. National Security Customers Synthetic Media & Art (01:37:32) Disney And NBCUniversal Sue AI Company Midjourney For Copyright Infringement (01:40:39) AMC Networks is teaming up with AI company Runway

Terence Tao is widely considered to be one of the greatest mathematicians in history. He won the Fields Medal and the Breakthrough Prize in Mathematics, and has contributed to a wide range of fields from fluid dynamics with Navier-Stokes equations to mathematical physics & quantum mechanics, prime numbers & analytics number theory, harmonic analysis, compressed sensing, random matrix theory, combinatorics, and progress on many of the hardest problems in the history of mathematics. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep472-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/terence-tao-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Terence's Blog: https://terrytao.wordpress.com/ Terence's YouTube: https://www.youtube.com/@TerenceTao27 Terence's Books: https://amzn.to/43H9Aiq SPONSORS: To support this podcast, check out our sponsors & get discounts: Notion: Note-taking and team collaboration. Go to https://notion.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex AG1: All-in-one daily nutrition drink. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (00:36) - Sponsors, Comments, and Reflections (09:49) - First hard problem (15:16) - Navier–Stokes singularity (35:25) - Game of life (42:00) - Infinity (47:07) - Math vs Physics (53:26) - Nature of reality (1:16:08) - Theory of everything (1:22:09) - General relativity (1:25:37) - Solving difficult problems (1:29:00) - AI-assisted theorem proving (1:41:50) - Lean programming language (1:51:50) - DeepMind's AlphaProof (1:56:45) - Human mathematicians vs AI (2:06:37) - AI winning the Fields Medal (2:13:47) - Grigori Perelman (2:26:29) - Twin Prime Conjecture (2:43:04) - Collatz conjecture (2:49:50) - P = NP (2:52:43) - Fields Medal (3:00:18) - Andrew Wiles and Fermat's Last Theorem (3:04:15) - Productivity (3:06:54) - Advice for young people (3:15:17) - The greatest mathematician of all time PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips

Steve Caplin is unsure about DeepMind's forthcoming "next generation email tool" which will answer emails in your voice. The rooftop garden of Google's new London HQ is plagued by foxes and rats. BIC celebrated 75 years by having a pen write Romeo & Juliet in the Bard's handwriting. Shimano have come up with automatic bike gears. There's a coffeemaker that does not need water – it sucks it from the air. AI now appears to be able to restore artworks without risking the original. However, AI also claims that the word "Welsh" is offensive. And Amazon says it will now punish companies that use fake reviews. But how do you punish bots? Learn more about your ad choices. Visit podcastchoices.com/adchoices

Audio note: this article contains 127 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Confidence: Medium, underlying data is patchy and relies on a good amount of guesswork, data work involved a fair amount of vibecoding. Intro:  Tom Davidson has an excellent post explaining the compute bottleneck objection to the software-only intelligence explosion.[1] The rough idea is that AI research requires two inputs: cognitive labor and research compute. If these two inputs are gross complements, then even if there is recursive self-improvement in the amount of cognitive labor directed towards AI research, this process will fizzle as you get bottlenecked by the amount of research compute. The compute bottleneck objection to the software-only intelligence explosion crucially relies on compute and cognitive labor being gross complements; however, this fact is not [...] ---Outline:(00:35) Intro:(02:16) Model(02:19) Baseline CES in Compute(04:07) Conditions for a Software-Only Intelligence Explosion(07:39) Deriving the Estimation Equation(09:31) Alternative CES Formulation in Frontier Experiments(10:59) Estimation(11:02) Data(15:02) Trends(15:58) Estimation Results(18:52) ResultsThe original text contained 13 footnotes which were omitted from this narration. --- First published: June 1st, 2025 Source: https://forum.effectivealtruism.org/posts/xoX936hEvpxToeuLw/estimating-the-substitutability-between-compute-and --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Hey folks, this is Alex, coming to you LIVE from the AI Engineer Worlds Fair! What an incredible episode this week, we recorded live from floor 30th at the Marriott in SF, while Yam was doing live correspondence from the floor of the AI Engineer event, all while Swyx, the cohost of Latent Space podcast, and the creator of AI Engineer (both the conference and the concept itself) joined us for the whole stream - here's the edited version, please take a look. We've had around 6500 people tune in, and at some point we got 2 surprise guests, straight from the keynote stage, Logan Kilpatrick (PM for AI Studio and lead cheerleader for Gemini) and Jack Rae (principal scientist working on reasoning) joined us for a great chat about Gemini! Mind was absolutely blown! They have just launched the new Gemini 2.5 Pro and I though it would only be fitting to let their new model cover this podcast this week (so below is fully AI generated ... non slop I hope). The show notes and TL;DR is as always in the end. Okay, enough preamble… let's dive into the madness!

If we want AI systems that actually work in production, we need better infrastructure—not just better models. In this episode, Hugo talks with Akshay Agrawal (Marimo, ex-Google Brain, Netflix, Stanford) about why data and AI pipelines still break down at scale, and how we can fix the fundamentals: reproducibility, composability, and reliable execution. They discuss:

Cyan Banister is an angel investor and entrepreneur renowned for her early investments in transformative tech companies such as Uber, SpaceX, DeepMind, and Postmates. Banister's path to success was unconventional, she experienced homelessness as a teenager and dropped out of high school.Through self-education and determination, she became a self-taught engineer, holding key roles at a cybersecurity startup acquired by Cisco for $850 million.Cyan emphasises themes of empathy, love, and personal growth, and the healing power of philosophy in overcoming adversity and trauma.Learn more about CyanKeep up to date with Peter on SubstackKeep up to date with Kasia!If you would like to support the podcast please consider our PatreonExecutive Producer: Rachel BarrettThanks to our volunteer researchers Hendrik Dahlmeier and Mihika Chechi, and Chris van Ryn!And special thanks to Suzi Jamil! Hosted on Acast. See acast.com/privacy for more information.

Čtení s Respektem #12 s Kristinou a Stanislavem Fortovými, Janem Pačesem a Martinem Uhlířem o umělé inteligenci, která urychluje evoluci, regulacích i virech navržených v garáži nad knihou Nezadržitelná vlna. Moderuje Štěpán Sedláček.Valí se na nás další nezadržitelná vlna inovací, tentokrát podnícených rozvojem pokročilé umělé inteligence, ale také biotechnologií. Potenciální přínosy i rizika souvisejících objevů vyplývajících ze spojení sil AI a syntetické biologie nemají obdoby. Můžou zásadně proměnit fungování a směřování společností, firem a států. S úpravou genetických informací je ovšem ve hře i podoba života jako takového. Optimistický i varovný popis některých zásadních výzev ve stínu tohoto technologického vývoje nabízí nová kniha Nezadržitelná vlna: Technologie, umělá inteligence, moc a největší dilema 21. století (Audiolibrix). Jejími autory jsou britský spisovatel a výzkumník Michael Bhaskar a Mustafa Suleyman, který spoluzaložil společnost DeepMind a dnes vede Microsoft AI. Jaké revoluční změny v pozitivním i negativním smyslu nové technologie můžou způsobit? Co už dnes pokročilá AI umí mimo jiné na poli biologie? Je naznačený vývoj skutečně nezadržitelný? A jak lze přicházející vlnu nejlépe usměrnit či regulovat? Nejen o tom debatoval na Čtení s Respektem v Antikvariátu Dejvického divadla Štěpán Sedláček s analytičkou a odbornicí na regulace AI Kristinou Fort, expertem na AI a vývojářem velkých jazykových modelů Stanislavem Fortem, bioinformatikem a genetikem Janem Pačesem a vědeckým novinářem Martinem Uhlířem. Úvodní ukázku z knihy přečetla dramaturgyně Dejvického divadla Marta Ljubková. K tématu debaty doporučujeme také článek: Nejbližší roky rozhodnou, zda bude člověk pastýřem umělé inteligence, nebo naopak

Jonathan Godwin is co-founder and CEO of Orbital Materials, an AI-first materials-engineering start-up. The company open-sourced Orb, a state-of-the-art simulation model, and now designs bespoke porous materials—its first aimed at cooling data-centres while capturing CO₂ or water. Jonathan shares how his DeepMind background shaped Orbital's “design-before-experiment” approach, why the team chose data-center sustainability as a beachhead market, and what it takes to build a vertically integrated, AI-native industrial company. The conversation explores the future of faster, cheaper R&D, the role of advanced materials in decarbonization, and the leap from software to physical products.In this episode, we cover: [02:12] Johnny's path from DeepMind to materials start-up[04:02] Trial-and-error vs AI-driven design shift[06:40] University/industry dynamics in materials R&D[10:17] Generative agent plus simulation for rapid discovery[13:01] Mitigating hallucinations with virtual experiments[18:18] Choosing a “hero” product and vertical integration[25:43] Dual-use chiller for cooling and CO₂ or water capture[32:26] Partnering on manufacturing to stay asset-light[35:58] Building an AI-native industrial giant of the future[36:51]: Orbital's investorsEpisode recorded on April 30, 2025 (Published on May 27, 2025) Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

This week we are joined by fellow traveler Dan Gish to discuss LLMs and AGI. Does it really, truly make sense to think that OpenAI or DeepMind are not at least an important stepping stone towards the creation of human-level creativity? What does it mean when CritRats assert that these AI algorithms are the opposite of human intelligence because they are obedient whereas we are disobedient?⁠⁠Support us on Patreon⁠

TelevisaUnivisión y Disney firman acuerdo, MUBI GO te invita a Cinépolis, y Google presenta Veo 3Puedes apoyar la realización de este programa con una suscripción. Más información por acáTemas:00:18 TelevisaUnivision y Disney hacen alianza01:06 Mubi se asocia con Cinépolis en la suscripción de MUBI GO.01:32 Siguen discusiones sobre la Ley Telecom02:11 Trump amenaza aranceles a iPhones02:39 Google Deepmind forja alianza con Aronofsky.03:15 Análisis: Viejos juguetes en nuevas presentacionesNotas del episodio. Become a member at https://plus.acast.com/s/noticias-de-tecnologia-express. Hosted on Acast. See acast.com/privacy for more information.

Head on over to https://cell.ver.so/TOE and use coupon code TOE at checkout to save 15% on your first order. Get ready to witness a turning point in mathematical history: in this episode, we dive into the AI breakthroughs that stunned number theorists worldwide. Join us as Professor Yang-Hue Hi discusses the murmuration conjecture, shows how DeepMind, OpenAI, and EpochAI are rewriting the rules of pure math, and reveals what happens when machines start making research-level discoveries faster than any human could. AI is taking us beyond proof straight into the future of discovery. As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: 00:00 Introduction to a New Paradigm 01:34 The Changing Landscape of Research 03:30 Categories of Machine Learning in Mathematics 06:53 Researchers: Birds vs. Hedgehogs 09:36 Personal Experiences with AI in Research 11:44 The Future Role of Academics 14:08 Presentation on the AI Mathematician 16:14 The Role of Intuition in Discovery 18:00 AI's Assistance in Vague Problem Solving 18:48 Newton and AI: A Historical Perspective 20:59 Literature Processing with AI 24:34 Acknowledging Modern Mathematicians 26:54 The Influence of Data on Mathematical Discovery 30:22 The Riemann Hypothesis and Its Implications 31:55 The BST Conjecture and Data Evolution 33:29 Collaborations and AI Limitations 36:04 The Future of Mathematics and AI 38:31 Image Processing and Mathematical Intuition 41:57 Visual Thinking in Mathematics 49:24 AI-Assisted Discovery in Mathematics 51:34 The Murmuration Conjecture and AI Interaction 57:05 Hierarchies of Difficulty 58:43 The Memoration Breakthrough 1:00:28 Understanding the BSD Conjecture 1:01:45 Diophantine Equations Explained 1:03:39 The Cubic Complexity 1:19:03 Neural Networks and Predictions 1:21:36 Breaking the Birch Test 1:24:44 The BSD Conjecture Clarified 1:26:21 The Role of AI in Discovery 1:30:29 The Memoration Phenomenon 1:32:59 PCA Analysis Insights 1:35:50 The Emergence of Memoration 1:38:35 Conjectures and AI's Role 1:41:29 Generalizing Biases in Mathematics 1:44:55 The Future of AI in Mathematics 1:49:28 The Brave New World of Discovery Links Mentioned: - Topology and Physics (book): https://amzn.to/3ZoneEn - Machine Learning in Pure Mathematics and Theoretical Physics (book): https://amzn.to/4k8SXC6 - The Calabi-Yau Landscape (book): https://amzn.to/43DO7H0 - Yang-Hui's bio and published papers: https://www.researchgate.net/profile/Yang-Hui-He - A Triumvirate of AI-Driven Theoretical Discovery (paper): https://arxiv.org/abs/2405.19973 - Edward Frenkel explains the Geometric Langlands Correspondence on TOE: https://www.youtube.com/watch?v=RX1tZv_Nv4Y - Stone Duality (Wiki): https://en.wikipedia.org/wiki/Stone_duality - Summer of Math Exposition: https://some.3b1b.co/ - Machine Learning meets Number Theory: The Data Science of Birch–Swinnerton-Dyer (paper): https://arxiv.org/pdf/1911.02008 - The L-functions and modular forms database: https://www.lmfdb.org/ - Epoch AI FrontierMath: https://epoch.ai/frontiermath/the-benchmark - Mathematical Beauty (article): https://www.quantamagazine.org/mathematical-beauty-truth-and-proof-in-the-age-of-ai-20250430/ SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs #science Learn more about your ad choices. Visit megaphone.fm/adchoices

If we want to make progress toward AGI, we need a clear definition of intelligence—and a way to measure it. In this episode, Hugo talks with Greg Kamradt, President of the ARC Prize Foundation, about ARC-AGI: a benchmark built on Francois Chollet's definition of intelligence as “the efficiency at which you learn new things.” Unlike most evals that focus on memorization or task completion, ARC is designed to measure generalization—and expose where today's top models fall short. They discuss:

The late biologist E.O. Wilson said that “the real problem of humanity is the following: We have Paleolithic emotions, medieval institutions, and god-like technology. And it is terrifically dangerous.” Wilson said that back in 2011, long before any of us were talking about large language models or GPTs. A little more than a decade later, artificial intelligence is already completely transforming our world. Practitioners and experts have compared A.I. to the advent of electricity and fire itself. “God-like” doesn't seem that far off. Even sober experts predict disease cures and radically expanded lifespans, real-time disaster prediction and response, the elimination of language barriers, and other earthly miracles. A.I. is amazing, in the truest sense of that word. It is also leading some to predict nothing less than a crisis in what it means to be human in an age of brilliant machines. Others—including some of the people creating this technology—predict our possible extinction as a species. But you don't have to go quite that far to imagine the way it will transform our relationship toward information and our ability to pursue the truth. For tens of thousands of years, since humans started to stand upright and talk to each other, we've found our way to wisdom through disagreement and debate. But in the age of A.I., our sources of truth are machines that spit out the information we already have, reflecting our biases and our blind spots. What happens to truth when we no longer wrestle with it—and only receive it passively? When disagreeable, complicated human beings are replaced with A.I. chatbots that just tell us what we want to hear? It makes today's concerns about misinformation and disinformation seem quaint. Our ability to detect whether something is real or an A.I.-generated fabrication is approaching zero. And unlike social media—a network of people that we instinctively know can be wrong—A.I. systems have a veneer of omniscience, despite being riddled with the biases of the humans who trained them. Meanwhile, a global arms race is underway, with the U.S. and China competing to decide who gets to control the authoritative information source of the future. So last week Bari traveled to San Francisco to host a debate on whether this remarkable, revolutionary technology will enhance our understanding of the world and bring us closer to the truth . . .or do just the opposite. The resolution: The Truth Will Survive Artificial Intelligence! Aravind Srinivas argued yes—the truth will survive A.I. Aravind is the CEO of one of the most exciting companies in this field, Perplexity, which he co-founded in 2022 after working at OpenAI, Google, and DeepMind.  Aravind was joined by Dr. Fei-Fei Li. Fei-Fei is a professor of computer science at Stanford, the founding co-director of the Stanford Institute for Human-Centered A.I., and the CEO and co-founder of World Labs, an A.I. company focusing on spatial intelligence and generative A.I.  Jaron Lanier argued that no, the truth will not survive A.I. Jaron is a computer scientist, best-selling author, and the founder of VPL Research, the first company to sell virtual reality products. Jaron was joined by Nicholas Carr, the author of countless best-selling books on the human consequences of technology, including Pulitzer Prize finalist The Shallows, The Glass Cage, and, most recently, Superbloom. He also writes the wonderful Substack New Cartographies. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Steven and Shaun sit down with Aira CEO Troy Otillio to unpack the company's major collaboration with Google and DeepMind, announced at Google I/O. Troy discusses how this partnership will shape the future of visual interpreting for blind users, including the development of a new AI-powered visual interpreter model.He also explains Aira's Build AI initiative, how user data is used with consent, and what it means to become a "Trusted Tester." The conversation covers the ethical implications of proactive AI, the potential for memory-aware AI agents, and why humans will remain central to Aira's service. Troy also shares insights on the potential integration of Aira with smart glasses through Google's XR platform and answers directly what international users should do in order to access the service around the world.Chapters00:00 - Introduction00:45 - Troy Otillio, CEO of Aira, joins Double Tap01:15 - Aira at Google I/O 202506:47 - Aira's Partnership With Google Explained15:57 - Proactive AI: Will it become a reality for live guidance?27:52 - Why Is The Trial US only?35:55 - What Will The App Experience Be Like?38:03 - Are There Any Time Limits?43:05 - Will Aira AI Be Available On Desktop?46:33 - Interesting Use Cases For Aira54:33 - Google Glaases & Android XRRelevant LinksAira: https://aira.ioGoogle I/O 2025: https://io.googleProject Astra by Google DeepMind: https://deepmind.google/Trusted Tester Sign-Up: https://aira.io/trustedtester Find Double Tap online: YouTube, Double Tap Website---Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedin Subscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheart About Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited. "Double Tap" is a registered trademark of Double Tap Productions Inc.

Le géant américain de la tech a dévoilé sa nouvelle stratégie, largement axée sur l'IA. Entre acquisitions spectaculaires, transformation des recherches en ligne et adaptation de ses services phares comme Gmail ou YouTube, Google joue une partie décisive. Décryptage. Google n'a pas attendu pour prendre le virage de l'intelligence artificielle (IA). Dès 2014, l'entreprise posait les bases de sa domination future en rachetant DeepMind pour 400 millions de dollars. Un pari gagnant : DeepMind est aujourd'hui à l'origine de Gemini, le robot conversationnel maison. Plus récemment, en mars dernier, Google a également déboursé 32 milliards de dollars pour acquérir Wiz, une entreprise spécialisée en cybersécurité, afin de sécuriser ses infrastructures IA.À lire aussiPourquoi les géants de la tech investissent dans l'intelligence artificielleVers une transformation profonde de l'expérience utilisateurSundar Pichai, le PDG de Google, veut transformer la façon dont nous utilisons internet. L'objectif est ainsi de faire des recherches classiques une interaction directe avec l'IA. Par exemple, au lieu d'afficher une liste de résultats, le moteur pourrait bientôt fournir directement une réponse détaillée, synthétisant le contenu recherché. Cette révolution s'étend à tout l'écosystème Google. Dans Gmail, des réponses pertinentes seront proposées automatiquement. Sur YouTube, l'IA pourra analyser les vidéos. Et sur Google Meet, un système de traduction en direct est en cours de développement.Des investissements massifs pour un modèle économique en mutationGoogle met les bouchées doubles : 75 milliards de dollars seront investis cette année, contre 52 milliards l'an passé. Cette transformation est cruciale car la recherche sur internet représente encore plus de la moitié du chiffre d'affaires du groupe, avec près de 200 milliards de dollars générés l'an dernier. Or, cette activité repose largement sur la publicité. Google envisage donc de lancer des abonnements payants pour compenser d'éventuelles pertes, tout en faisant face à une concurrence croissante (Bing, Qwant, Yahoo…) et à une pression réglementaire, notamment aux États-Unis, où des voix s'élèvent pour demander la vente de Chrome. Une chose est sûre, ces innovations vont profondément changer nos habitudes numériques.À lire aussiL'intelligence artificielle, nouvel atout caché des salariés

Artie Intel and Micheline Learning report on Artificial Intelligence for The AI Report. Google DeepMind’s GNoME project used AI to revolutionize energy storage, battery technology, and superconductors.  GraphCast, an open-source AI model, can now predict the weather up to 10 days in advance with unprecedented accuracy. This message comes from Eve.  Eve is the first legal AI that you can partner with,  train,  and teach to handle every part of your case.  Visit eve.legal. DeepMind’s AlphaGeometry 2, trained with the Gemini model, solved 83% of geometry problems from the last 25 years of the International Mathematical Olympiad, rivaling human gold medalists and pushing the boundaries of AI reasoning. Microsoft’s Copilot X Enterprise integrates next-gen GPT-4 Turbo enhancements to automate complex tasks in Office 365, supporting text, images, and code in a seamless workflow. Meta’s LLaMA 3, with over a trillion parameters, is now open source, democratizing access to advanced language models and enabling a wave of innovation across research and business. China’s WuDao 3.0 and its new AI supercomputer are setting benchmarks in computer vision, natural language processing, and robotics, outperforming many Western systems. Microsoft’s SQL Server 2025 preview brings built-in AI capabilities directly into the database engine. Apple rolled out new AI features across iPhone, iPad, and Mac, enhancing user experience with smarter automation and improved on-device intelligence. Meta is investing up to $65 billion in AI this year, including a major new data center in Louisiana to support its Llama model and future AI initiatives. OpenAI launched the o3-mini, a new model optimized for reasoning and efficiency, available to both consumers and developers, meeting the growing demand for smaller, more efficient AI models. Anthropic, Stability AI, and Hugging Face are pushing the boundaries with generative models and developer tools, making advanced AI more accessible than ever. Specialized AI chips, like Google’s Willow, are enabling faster, more efficient AI computations. NotebookLM is helping researchers organize and analyze information faster than ever. Canva Magic Studio brings AI-powered graphic design to everyone, from pros to beginners. ElevenLabs and Murf are generating realistic AI voices for podcasts, audiobooks, and customer service. AdCreative is automating marketing campaigns with AI-driven insights and content generation. ChatGPT, Claude, DeepSeek, and Grok are leading the pack for chatbots and virtual assistants, helping with everything from brainstorming to customer service.  Video Generation: Platforms like Synthesia, Runway, and Filmora let users create high-quality videos in minutes, using avatars and AI-powered editing tools. Image Generation: GPT-4o and Midjourney are at the forefront, producing stunning visuals from simple text prompts. Notetakers: Tools like Fathom and Nyota are revolutionizing meeting productivity by transcribing and summarizing conversations in real time. Coding and App Builders: Bubble, Bolt, and Cursor enable rapid app development, even for those without a coding background. Music Generation: Suno and Udio are making waves by composing original music tracks on demand. Project management, scheduling, and customer service tools—Asana, ClickUp, Reclaim, and Tidio AI—all powered by advanced machine learning. Quantum AI ATLAS: Google’s Willow quantum AI chip is rewriting the rules of computation. This 105-bit chip solved a complex problem in five minutes—a task that would take a classical supercomputer 10 septillion years.  The AI Report

Our 209th episode with a summary and discussion of last week's big AI news! Recorded on 05/16/2025 Hosted by Andrey Kurenkov and Jeremie Harris. 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/. Join our Discord here! https://discord.gg/nTyezGSKwP In this episode: OpenAI has decided not to transition from a nonprofit to a for-profit entity, instead opting to become a public benefit corporation influenced by legal and civic discussions. Trump administration meetings with Saudi Arabia and the UAE have opened floodgates for AI deals, leading to partnerships with companies like Nvidia and aiming to bolster AI infrastructure in the Middle East. DeepMind introduced Alpha Evolve, a new coding agent designed for scientific and algorithmic discovery, showing improvements in automated code generation and efficiency. OpenAI pledges greater transparency in AI safety by launching the Safety Evaluations Hub, a platform showcasing various safety test results for their models. Timestamps + Links: (00:00:00) Intro / Banter (00:01:41) News Preview (00:02:26) Response to listener comments Applications & Business (00:03:00) OpenAI says non-profit will remain in control after backlash (00:13:23) Microsoft Moves to Protect Its Turf as OpenAI Turns Into Rival (00:18:07) TSMC's 2nm Process Said to Witness ‘Unprecedented' Demand, Exceeding 3nm Due to Interest from Apple, NVIDIA, AMD, & Many Others (00:21:42) NVIDIA's Global Headquarters Will Be In Taiwan, With CEO Huang Set To Announce Site Next Week, Says Report (00:23:58) CoreWeave in Talks for $1.5 Billion Debt Deal 6 Weeks After IPO Tools & Apps (00:26:39) The Day Grok Told Everyone About ‘White Genocide' (00:32:58) Figma releases new AI-powered tools for creating sites, app prototypes, and marketing assets (00:36:12) Google's bringing Gemini to your car with Android Auto (00:38:49) Google debuts an updated Gemini 2.5 Pro AI model ahead of I/O (00:45:09) Hugging Face releases a free Operator-like agentic AI tool Projects & Open Source (00:47:42) Stability AI releases an audio-generating model that can run on smartphones (00:50:47) Freepik releases an ‘open' AI image generator trained on licensed data (00:54:22) AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale (01:01:29) BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset Research & Advancements (01:05:40) DeepMind claims its newest AI tool is a whiz at math and science problems (01:12:31) Absolute Zero: Reinforced Self-play Reasoning with Zero Data (01:19:44) How far can reasoning models scale? (01:26:47) HealthBench: Evaluating Large Language Models Towards Improved Human Health Policy & Safety (01:34:10) Trump administration officially rescinds Biden's AI diffusion rules (01:37:08) Trump's Mideast Visit Opens Floodgate of AI Deals Led by Nvidia (01:44:04) Scaling Laws For Scalable Oversight (01:49:43) OpenAI pledges to publish AI safety test results more often

DeepMind's AlphaEvolve solves math and science problems by generating and critiquing its own answers. Meanwhile, the U.S. warns against Huawei chips, Sony eyes PS5 price hikes, Max reverts to HBO Max, Uber launches shuttles, Google tests AI Mode, and Airbnb adds on-demand services. Starring Sarah Lane, Tom Merritt, Scott Johnson, Amos, and Joe. To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!

Warners Bros Discovery goes back to HBO Max, Sony warns of PS5 price hikes, Google replaces “I'm feeling lucky” with AI mode. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy what you see you canContinue reading "DeepMind Unveils AI System AlphaEvolve – DTH"

Today GoogleDeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplication set 56 years ago. Google has been killing it recently. We had early access to the paper and interviewed the researchers behind the work.AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmshttps://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/Authors: Alexander Novikov*, Ngân Vũ*, Marvin Eisenberger*, Emilien Dupont*, Po-Sen Huang*, Adam Zsolt Wagner*, Sergey Shirobokov*, Borislav Kozlovskii*, Francisco J. R. Ruiz, Abbas Mehrabian, M. Pawan Kumar, Abigail See, Swarat Chaudhuri, George Holland, Alex Davies, Sebastian Nowozin, Pushmeet Kohli, Matej Balog*(* indicates equal contribution or special designation, if defined elsewhere)SPONSOR MESSAGES:***Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***AlphaEvolve works like a very smart, tireless programmer. It uses powerful AI language models (like Gemini) to generate ideas for computer code. Then, it uses an "evolutionary" process – like survival of the fittest for programs. It tries out many different program ideas, automatically tests how well they solve a problem, and then uses the best ones to inspire new, even better programs.Beyond this mathematical breakthrough, AlphaEvolve has already been used to improve real-world systems at Google, such as making their massive data centers run more efficiently and even speeding up the training of the AI models that power AlphaEvolve itself. The discussion also covers how humans work with AlphaEvolve, the challenges of making AI discover things, and the exciting future of AI helping scientists make new discoveries.In short, AlphaEvolve is a powerful new AI tool that can invent new algorithms and solve complex problems, showing how AI can be a creative partner in science and engineering.Guests:Matej Balog: https://x.com/matejbalogAlexander Novikov: https://x.com/SashaVNovikovREFS:MAP Elites [Jean-Baptiste Mouret, Jeff Clune]https://arxiv.org/abs/1504.04909FunSearch [Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli & Alhussein Fawzi]https://www.nature.com/articles/s41586-023-06924-6TOC:[00:00:00] Introduction: Alpha Evolve's Breakthroughs, DeepMind's Lineage, and Real-World Impact[00:12:06] Introducing AlphaEvolve: Concept, Evolutionary Algorithms, and Architecture[00:16:56] Search Challenges: The Halting Problem and Enabling Creative Leaps[00:23:20] Knowledge Augmentation: Self-Generated Data, Meta-Prompting, and Library Learning[00:29:08] Matrix Multiplication Breakthrough: From Strassen to AlphaEvolve's 48 Multiplications[00:39:11] Problem Representation: Direct Solutions, Constructors, and Search Algorithms[00:46:06] Developer Reflections: Surprising Outcomes and Superiority over Simple LLM Sampling[00:51:42] Algorithmic Improvement: Hill Climbing, Program Synthesis, and Intelligibility[01:00:24] Real-World Application: Complex Evaluations and Robotics[01:05:39] Role of LLMs & Future: Advanced Models, Recursive Self-Improvement, and Human-AI Collaboration[01:11:22] Resource Considerations: Compute Costs of AlphaEvolveThis is a trial of posting videos on Spotify, thoughts? Email me or chat in our Discord

At Google Cloud Next '25, the company introduced Ironwood, its most advanced custom Tensor Processing Unit (TPU) to date. With 9,216 chips per pod delivering 42.5 exaflops of compute power, Ironwood doubles the performance per watt compared to its predecessor. Senior product manager Chelsie Czop explained that designing TPUs involves balancing power, thermal constraints, and interconnectivity. Google's long-term investment in liquid cooling, now in its fourth generation, plays a key role in managing the heat generated by these powerful chips. Czop highlighted the incremental design improvements made visible through changes in the data center setup, such as liquid cooling pipe placements. Customers often ask whether to use TPUs or GPUs, but the answer depends on their specific workloads and infrastructure. Some, like Moloco, have seen a 10x performance boost by moving directly from CPUs to TPUs. However, many still use both TPUs and GPUs. As models evolve faster than hardware, Google relies on collaborations with teams like DeepMind to anticipate future needs.Learn more from The New Stack about the latest AI infrastructure insights from Google Cloud:Google Cloud Therapist on Bringing AI to Cloud Native InfrastructureA2A, MCP, Kafka and Flink: The New Stack for AI AgentsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Nabeel Qureshi is an entrepreneur, writer, researcher, and visiting scholar of AI policy at the Mercatus Center (alongside Tyler Cowen). Previously, he spent nearly eight years at Palantir, working as a forward-deployed engineer. His work at Palantir ranged from accelerating the Covid-19 response to applying AI to drug discovery to optimizing aircraft manufacturing at Airbus. Nabeel was also a founding employee and VP of business development at GoCardless, a leading European fintech unicorn.What you'll learn:• Why almost a third of all Palantir's PMs go on to start companies• How the “forward-deployed engineer” model works and why it creates exceptional product leaders• How Palantir transformed from a “sparkling Accenture” into a $200 billion data/software platform company with more than 80% margins• The unconventional hiring approach that screens for independent-minded, intellectually curious, and highly competitive people• Why the company intentionally avoids traditional titles and career ladders—and what they do instead• Why they built an ontology-first data platform that LLMs love• How Palantir's controversial “bat signal” recruiting strategy filtered for specific talent types• The moral case for working at a company like Palantir—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Attio—The powerful, flexible CRM for fast-growing startups• OneSchema—Import CSV data 10x faster—Where to find Nabeel S. Qureshi:• X: https://x.com/nabeelqu• LinkedIn: https://www.linkedin.com/in/nabeelqu/• Website: https://nabeelqu.co/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nabeel S. Qureshi(05:10) Palantir's unique culture and hiring(13:29) What Palantir looks for in people(16:14) Why they don't have titles(19:11) Forward-deployed engineers at Palantir(25:23) Key principles of Palantir's success(30:00) Gotham and Foundry(36:58) The ontology concept(38:02) Life as a forward-deployed engineer(41:36) Balancing custom solutions and product vision(46:36) Advice on how to implement forward-deployed engineers(50:41) The current state of forward-deployed engineers at Palantir(53:15) The power of ingesting, cleaning and analyzing data(59:25) Hiring for mission-driven startups(01:05:30) What makes Palantir PMs different(01:10:00) The moral question of Palantir(01:16:03) Advice for new startups(01:21:12) AI corner(01:24:00) Contrarian corner(01:25:42) Lightning round and final thoughts—Referenced:• Reflections on Palantir: https://nabeelqu.co/reflections-on-palantir• Palantir: https://www.palantir.com/• Intercom: https://www.intercom.com/• Which companies produce the best product managers: https://www.lennysnewsletter.com/p/which-companies-produce-the-best• Gotham: https://www.palantir.com/platforms/gotham/• Foundry: https://www.palantir.com/platforms/foundry/• Peter Thiel on X: https://x.com/peterthiel• Alex Karp: https://en.wikipedia.org/wiki/Alex_Karp• Stephen Cohen: https://en.wikipedia.org/wiki/Stephen_Cohen_(entrepreneur)• Joe Lonsdale on LinkedIn: https://www.linkedin.com/in/jtlonsdale/• Tyler Cowen's website: https://tylercowen.com/• This Scandinavian City Just Won the Internet With Its Hilarious New Tourism Ad: https://www.afar.com/magazine/oslos-new-tourism-ad-becomes-viral-hit• Safe Superintelligence: https://ssi.inc/• Mira Murati on X: https://x.com/miramurati• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Airbus: https://www.airbus.com/en• NIH: https://www.nih.gov/• Jupyter Notebooks: https://jupyter.org/• Shyam Sankar on LinkedIn: https://www.linkedin.com/in/shyamsankar/• Palantir Gotham for Defense Decision Making: https://www.youtube.com/watch?v=rxKghrZU5w8• Foundry 2022 Operating System Demo: https://www.youtube.com/watch?v=uF-GSj-Exms• SQL: https://en.wikipedia.org/wiki/SQL• Airbus A350: https://en.wikipedia.org/wiki/Airbus_A350• SAP: https://www.sap.com/index.html• Barry McCardel on LinkedIn: https://www.linkedin.com/in/barrymccardel/• Understanding ‘Forward Deployed Engineering' and Why Your Company Probably Shouldn't Do It: https://www.barry.ooo/posts/fde-culture• David Hsu on LinkedIn: https://www.linkedin.com/in/dvdhsu/• Retool's Path to Product-Market Fit—Lessons for Getting to 100 Happy Customers, Faster: https://review.firstround.com/retools-path-to-product-market-fit-lessons-for-getting-to-100-happy-customers-faster/• How to foster innovation and big thinking | Eeke de Milliano (Retool, Stripe): https://www.lennysnewsletter.com/p/how-to-foster-innovation-and-big• Looker: https://cloud.google.com/looker• Sorry, that isn't an FDE: https://tedmabrey.substack.com/p/sorry-that-isnt-an-fde• Glean: https://www.glean.com/• Limited Engagement: Is Tech Becoming More Diverse?: https://www.bkmag.com/2017/01/31/limited-engagement-creating-diversity-in-the-tech-industry/• Operation Warp Speed: https://en.wikipedia.org/wiki/Operation_Warp_Speed• Mark Zuckerberg testifies: https://www.businessinsider.com/facebook-ceo-mark-zuckerberg-testifies-congress-libra-cryptocurrency-2019-10• Anduril: https://www.anduril.com/• SpaceX: https://www.spacex.com/• Principles: https://nabeelqu.co/principles• Wispr Flow: https://wisprflow.ai/• Claude code: https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview• Gemini Pro 2.5: https://deepmind.google/technologies/gemini/pro/• DeepMind: https://deepmind.google/• Latent Space newsletter: https://www.latent.space/• Swyx on x: https://x.com/swyx• Neural networks in chess programs: https://www.chessprogramming.org/Neural_Networks• AlphaZero: https://en.wikipedia.org/wiki/AlphaZero• The top chess players in the world: https://www.chess.com/players• Decision to Leave: https://www.imdb.com/title/tt12477480/• Oldboy: https://www.imdb.com/title/tt0364569/• Christopher Alexander: https://en.wikipedia.org/wiki/Christopher_Alexander—Recommended books:• The Technological Republic: Hard Power, Soft Belief, and the Future of the West: https://www.amazon.com/Technological-Republic-Power-Belief-Future/dp/0593798694• Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296• Impro: Improvisation and the Theatre: https://www.amazon.com/Impro-Improvisation-Theatre-Keith-Johnstone/dp/0878301178/• William Shakespeare: Histories: https://www.amazon.com/Histories-Everymans-Library-William-Shakespeare/dp/0679433120/• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884• Anna Karenina: https://www.amazon.com/Anna-Karenina-Leo-Tolstoy/dp/0143035002—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

My Conversation with Gary begins at about 22 mins Stand Up is a daily podcast that I book,host,edit, post and promote new episodes with brilliant guests every day. Please subscribe now for as little as 5$ and gain access to a community of over 700 awesome, curious, kind, funny, brilliant, generous souls Check out StandUpwithPete.com to learn more Get Gary's new book!  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, 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. Join us Monday's and Thursday's at 8EST for our Bi Weekly Happy Hour Hangout's !  Pete on Blue Sky Pete on Threads Pete on Tik Tok Pete on YouTube  Pete on Twitter Pete On Instagram Pete Personal FB page Stand Up with Pete FB page All things Jon Carroll  Follow and Support Pete Coe Buy Ava's Art  Hire DJ Monzyk to build your website or help you with Marketing Gift a Subscription https://www.patreon.com/PeteDominick/gift  

In episode 1860, Jack and guest co-host Andrew Ti are joined by host of Worse Than You, Mo Fry Pasic, to discuss…REAL ID Isn’t Real, Cyber Trucks Just Totally Stop Selling, This AI Expert Thinks The AI Bubble’s About to Pop and more! What you need to know about the REAL ID requirements for air travel The Racist Origins of the Real ID Act Top Trump agency reveals key reason why REAL ID will be enforced 'Mass surveillance': Conservatives sound alarm over Trump admin's REAL ID rollout Trump’s Insistence on Real ID Has Become a Flashpoint for His Tinfoil Hat Fans You can get a free Krispy Kreme doughnut on May 7 for Real ID deadline: Here's how Homeland Security chief says travelers with no REAL ID can fly for now, but with likely extra steps Flying out of Indianapolis without REAL ID? Don't fret — the airport isn't turning people away Tesla’s Inventory of Unsold Cybertrucks Skyrockets, Despite Offering $10K Discounts and Concealing Listings The Silicon Valley sceptic warning tech’s new bubble is about to burst Deep Learning Is Hitting a Wall Microsoft’s £2.5bn investment in Britain at risk from creaking power grid Chess helped me win the Nobel Prize, says Google’s AI genius OpenAI overrode concerns of expert testers to release sycophantic GPT-4o The next British boom could be in the offing – if Starmer abandons net zero Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’ LISTEN: Indeed by CruzaSee omnystudio.com/listener for privacy information.

At Google Cloud Next, Bobby Allen, Group Product Manager for Google Kubernetes Engine (GKE), emphasized GKE's foundational role in supporting AI platforms. While AI dominates current tech conversations, Allen highlighted that cloud-native infrastructure like Kubernetes is what enables AI workloads to function efficiently. GKE powers key Google services like Vertex AI and is trusted by organizations including DeepMind, gaming companies, and healthcare providers for AI model training and inference. Allen explained that GKE offers scalability, elasticity, and support for AI-specific hardware like GPUs and TPUs, making it ideal for modern workloads. He noted that Kubernetes was built with capabilities—like high availability and secure orchestration—that are now essential for AI deployment. Looking forward, GKE aims to evolve into a model router, allowing developers to access the right AI model based on function, not vendor, streamlining the development experience. Allen described GKE as offering maximum control with minimal technical debt, future-proofed by Google's continued investment in open source and scalable architecture.Learn more from The New Stack about the latest insights with Google Cloud: Google Kubernetes Engine Customized for Faster AI WorkKubeCon Europe: How Google Will Evolve Kubernetes in the AI EraApache Ray Finds a Home on the Google Kubernetes EngineJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Explains language models (LLMs) advancements. Scaling laws - the relationships among model size, data size, and compute - and how emergent abilities such as in-context learning, multi-step reasoning, and instruction following arise once certain scaling thresholds are crossed. The evolution of the transformer architecture with Mixture of Experts (MoE), describes the three-phase training process culminating in Reinforcement Learning from Human Feedback (RLHF) for model alignment, and explores advanced reasoning techniques such as chain-of-thought prompting which significantly improve complex task performance. Links Notes and resources at ocdevel.com/mlg/mlg34 Build the future of multi-agent software with AGNTCY Try a walking desk stay healthy & sharp while you learn & code Transformer Foundations and Scaling Laws Transformers: Introduced by the 2017 "Attention is All You Need" paper, transformers allow for parallel training and inference of sequences using self-attention, in contrast to the sequential nature of RNNs. Scaling Laws: Empirical research revealed that LLM performance improves predictably as model size (parameters), data size (training tokens), and compute are increased together, with diminishing returns if only one variable is scaled disproportionately. The "Chinchilla scaling law" (DeepMind, 2022) established the optimal model/data/compute ratio for efficient model performance: earlier large models like GPT-3 were undertrained relative to their size, whereas right-sized models with more training data (e.g., Chinchilla, LLaMA series) proved more compute and inference efficient. Emergent Abilities in LLMs Emergence: When trained beyond a certain scale, LLMs display abilities not present in smaller models, including: In-Context Learning (ICL): Performing new tasks based solely on prompt examples at inference time. Instruction Following: Executing natural language tasks not seen during training. Multi-Step Reasoning & Chain of Thought (CoT): Solving arithmetic, logic, or symbolic reasoning by generating intermediate reasoning steps. Discontinuity & Debate: These abilities appear abruptly in larger models, though recent research suggests that this could result from non-linearities in evaluation metrics rather than innate model properties. Architectural Evolutions: Mixture of Experts (MoE) MoE Layers: Modern LLMs often replace standard feed-forward layers with MoE structures. Composed of many independent "expert" networks specializing in different subdomains or latent structures. A gating network routes tokens to the most relevant experts per input, activating only a subset of parameters—this is called "sparse activation." Enables much larger overall models without proportional increases in compute per inference, but requires the entire model in memory and introduces new challenges like load balancing and communication overhead. Specialization & Efficiency: Experts learn different data/knowledge types, boosting model specialization and throughput, though care is needed to avoid overfitting and underutilization of specialists. The Three-Phase Training Process 1. Unsupervised Pre-Training: Next-token prediction on massive datasets—builds a foundation model capturing general language patterns. 2. Supervised Fine Tuning (SFT): Training on labeled prompt-response pairs to teach the model how to perform specific tasks (e.g., question answering, summarization, code generation). Overfitting and "catastrophic forgetting" are risks if not carefully managed. 3. Reinforcement Learning from Human Feedback (RLHF): Collects human preference data by generating multiple responses to prompts and then having annotators rank them. Builds a reward model (often PPO) based on these rankings, then updates the LLM to maximize alignment with human preferences (helpfulness, harmlessness, truthfulness). Introduces complexity and risk of reward hacking (specification gaming), where the model may exploit the reward system in unanticipated ways. Advanced Reasoning Techniques Prompt Engineering: The art/science of crafting prompts that elicit better model responses, shown to dramatically affect model output quality. Chain of Thought (CoT) Prompting: Guides models to elaborate step-by-step reasoning before arriving at final answers—demonstrably improves results on complex tasks. Variants include zero-shot CoT ("let's think step by step"), few-shot CoT with worked examples, self-consistency (voting among multiple reasoning chains), and Tree of Thought (explores multiple reasoning branches in parallel). Automated Reasoning Optimization: Frontier models selectively apply these advanced reasoning techniques, balancing compute costs with gains in accuracy and transparency. Optimization for Training and Inference Tradeoffs: The optimal balance between model size, data, and compute is determined not only for pretraining but also for inference efficiency, as lifetime inference costs may exceed initial training costs. Current Trends: Efficient scaling, model specialization (MoE), careful fine-tuning, RLHF alignment, and automated reasoning techniques define state-of-the-art LLM development.

I'm joined by the imaginative Kyle Zantos, a Seattle-based designer, builder, and musician with over a decade of experience across UX, product, and brand. Kyle's worked at startups and consultancies, but lately he's been diving into AI through deeply personal, playful projects that blend creativity, tooling, and experimentation.We get into:* Why he shifted from music to design, and now from design to building AI tools* How he used AI to build a Figma plugin without any coding background* The tools in his AI stack and how he actually uses them (Claude, Cursor, Lovable, Vercel, and more)* What MCPs are and how they help Claude "remember" his context across chats* Why rapid prototyping now beats hours in Figma* His framework of “Software as a Gift,” building custom apps just for friends* A look at the Jeopardy-inspired app he built for his trivia-loving best friendKyle brings curiosity, technical scrappiness, and real heart to everything he builds. Whether you're a designer figuring out how to start with AI or just looking to rekindle some joy in your craft, this one's for you.Timestamps00:00 Introduction02:07 Kyle's musical interests and background06:41 Kyle's journey into "vibe coding"13:02 From an early course to building som ething functional20:59 Leveraging MCPs to build smarter26:26 Software as a gift36:49 Where AI has influenced Kyle's design process38:59 How can design org incentivize to close the skills gap41:29 How to get started with AI43:15 ClosingFollow Kyle* Website: https://kylezantos.com* Twitter: https://twitter.com/kylezantos* LinkedIn:https://www.linkedin.com/in/kylezantosMentions* Jeopardy practice game — Kyle launched (in time for this release)* Claude (by Anthropic) — AI assistant used throughout Kyle's workflow* Cursor — AI-first code editor forked from VS Code* Lovable — No-code AI app builder Kyle uses for software-as-gift experiments* Vercel — Deployment platform for full-stack apps* SuperWhisper — Voice-to-text transcription tool* Ammaar Reshi — Design leader at DeepMind; inspired Kyle's early AI buildsFollow Harrison Wheeler and Technically Speaking* Newsletter* LinkedIn* YouTubeTechnically Speaking is where I share reflections, insights, and conversations to help you lead with confidence, clarity, and community. Are you looking to level up your design leadership and management craft? Spend an hour with me for personalized 1:1 coaching to help you thrive in your role. Get full access to Technically Speaking at technicallyspeakinghw.substack.com/subscribe

After pioneering reinforcement learning breakthroughs at DeepMind with Capture the Flag and AlphaStar, Max Jaderberg aims to revolutionize drug discovery with AI as Chief AI Officer of Isomorphic Labs, which was spun out of DeepMind. He discusses how AlphaFold 3's diffusion-based architecture enables unprecedented understanding of molecular interactions, and why we're approaching a "Move 37 moment" in AI-powered drug design where models will surpass human intuition. Max shares his vision for general AI models that can solve all diseases, and the importance of developing agents that can learn to search through the whole potential design space. Hosted by Stephanie Zhan, Sequoia capital Mentioned in this episode:  Playing Atari with Deep Reinforcement Learning: Seminal 2013 paper on Reinforcement Learning  Capture the Flag: 2019 DeepMind paper on the emergence of cooperative agents AlphaStar: 2019 DeepMind paper on attaining grandmaster level in StarCraft II using multi-agent RL AlphaFold Server: Web interface for AlphaFold 3 model for non-commercial academic use

5/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) 1956 https://www.amazon.com/Valley-Microsoft-Trillion-Dollar-Artificial-Intelligence/dp/0063347490 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, 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.

GOOD EVENING: THE SHOW BEGN ON THE ROAD TO INDIANA WITH COLLEAGUE JIM MCTAGUE,,, 1942 LANCASTER CITY, PA CBS EYE ON THE WORLD WITH JOHN BATCHELOR FIRST HOUR 9-915  LANCASTER COUNTY REPORT: ON THE ROAD TO VALPARAISO, IN.  JIM MCTAGUE, FORMER WASHINGTON EDITOR, BARRONS. @MCTAGUEJ.  AUTHOR OF THE "MARTIN AND TWYLA BOUNDARY SERIES."  #FRIENDSOFHISTORYDEBATINGSOCIETY 915-930 #PACIFICWATCH: #VEGASREPORT: LIGHT RAIL FOR 3 MILLION POPULATION.  @JCBLISS 930-945 #DOGE:DOWN TO SIZE. RICHARD EPSTEIN, CIVITAS INSTITUTE. 945-1000 PRC:TARIFFS ARE LOSS. RICHARD EPSTEIN, CIVITAS INSTITUTE. SECOND HOUR 10-1015 #NUKES ARMS RACE: IRAN, SAUDI ARABIA, INDIA, PAKISTAN. HENRY SOKOLSKI, NPEC. 1015-1030 PRC: WHEN CHINA ATTACKS AND WHY?. GRANT NEWSHAM, AUTHOR 1030-1045 1/2: #NATURAL LAW: AND GOD, LIBERALISM, PATRIOTISM.  SAMUEL GREGG, CIVITAS INSTITUTE. 1045-1100 2/2: #NATURAL LAW: AND GOD, LIBERALISM, PATRIOTISM.  SAMUEL GREGG, CIVITAS INSTITUTE. THIRD HOUR 1100-1115 5/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) https://www.amazon.com/Valley-Microsoft-Trillion-Dollar-Artificial-Intelligence/dp/0063347490 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, 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. 1115-1130 6M/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) 1130-1145 7/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) 1145-1200 8/8: AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence Hardcover – March 25, 2025 by  Gary Rivlin  (Author) FOURTH HOUR 12-1215 #RUSSIA: PRICE OF OIL AND THE WAR. MICHAEL BERNSTAM, HOOVER 1215-1230 #ITALY:FIVE KILOMETERS PROCESSION FOR FRANCIS IN ROME. LORENZO FIORI. 1230-1245 PECL DELAYS MOON AND MARS AMBITIONS. BOB ZIMMERMAN BEHINDTHEBLACK.COM 1245-100 AM MARS: CURIOSITY WHEELS. BOB ZIMMERMAN BEHINDTHEBLACK.COM

Welcome to this classic episode. Classics are my favorite episodes from the past 10 years, published once a month. These are N of 1 conversations with N of 1 people. There aren't many people like Cyan Banister. Her life story is remarkable. She was homeless at a young age, dropped out of high school, and five years ago she suffered an extremely rare stroke. Yet, in spite of everything, she is one of the most optimistic and curious people you can hope to meet. Cyan is also one of the great angel investors of this era, having invested early in SpaceX, Uber, Postmates, and Deepmind to name a few winners. She became the first female investing partner at Peter Thiel's Founders Fund and now invests at Long Journey Ventures. Our conversation is as much about investing as it is about the essence of life and how connecting with that will help us in our professional pursuits. It is also full of awesome stories about people and companies like SpaceX and Bill Murray. Please enjoy this great conversation with Cyan Banister. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- Invest Like the Best is a property of Colossus, LLC. For more episodes of Invest Like the Best, visit joincolossus.com/episodes.  Past guests include Tobi Lutke, Kevin Systrom, Mike Krieger, John Collison, Kat Cole, Marc Andreessen, Matthew Ball, Bill Gurley, Anu Hariharan, Ben Thompson, and many more. Stay up to date on all our podcasts by signing up to Colossus Weekly, our quick dive every Sunday highlighting the top business and investing concepts from our podcasts and the best of what we read that week. Sign up here. Follow us on Twitter: @patrick_oshag | @JoinColossus Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: [00:00:00] Welcome to Invest Like the Best [00:04:06] Contrarian Thinking in Investing [00:05:30] Joining Founders Fund and Learning from Peter Thiel [00:11:15] Investing in Companies that Change Lives [00:14:00] The Importance of Overcoming Adversity for Founders [00:16:02] Personal Journey and Choosing Hope [00:20:56] Embracing Curiosity and Wonder in the Face of Adversity [00:21:20] Reconnecting with Our Inner Child [00:24:46] The Interruption and Resumption of the Conversation [00:27:20] The Power of Intuition in Business Decisions [00:32:28] The Story Behind the Investment in Uber [00:38:46] Conclusion: Following the White Rabbit of Curiosity [00:39:08] Investing in Uber: The Beginning [00:41:50] The Impact of Success: Personal Wealth and Privacy [00:50:22] The Intersection of Spirituality and Investing [00:59:34] The Bill Murray Experience: A Lesson in Presence [01:09:54] The Violin Kid: A Tale of Curiosity and Generosity [01:12:43] The Evolution of Investing: A Personal Journey [01:16:34] The Philosophy of Giving: The Universe's Return [01:17:36] The Spirit of a Venture Firm: Founders Fund [01:23:09] The Power of Integral Family Systems [01:28:41] The Trillion Dollar Question: Disrupting Hollywood [01:36:05] The Future of Artistry: AI and Creativity [01:41:39] The Power of Kindness

This week on "Waking Up With AI," Katherine Forrest and Anna Gressel explore the intersection of AI and biology, focusing on how DeepMind's AlphaFold has revolutionized protein folding prediction by enabling scientists to better understand protein structures and interactions. ## Learn More About Paul, Weiss's Artificial Intelligence Practice: https://www.paulweiss.com/practices/litigation/artificial-intelligence

Google says we're not ready for AGI and honestly, they might be right. DeepMind's Demis Hassabis warns we could be just five years away from artificial general intelligence, and society isn't prepared. Um, yikes? VISIT OUR SPONSOR https://molku.ai/ In this episode, we break down Google's new “Era of Experience” paper and what it means for how AIs will learn from the real world. We talk agentic systems, long-term memory, and why this shift might be the key to creating truly intelligent machines. Plus, a real AI vending machine running on Claude, a half-marathon of robots in Beijing, and Cluely, the tool that lets you lie better with AI.  We also cover new AI video tools from Minimax and Character.AI, Runway's 48-hour film contest, and Dia, the open-source voice model that can scream and cough better than most humans. Plus: AI Logan Paul, AI marketing scams, and one very cursed Shrek feet idea. AGI IS ALMOST HERE BUT THE ROBOTS, THEY STILL RUN.   #ai #ainews #agi Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Demis Hassabis on 60 Minutes https://www.cbsnews.com/news/artificial-intelligence-google-deepmind-ceo-demis-hassabis-60-minutes-transcript/ We're Not Ready For AGI From Time Interview with Hasabis https://x.com/vitrupo/status/1915006240134234608 Google Deepmind's “Era of Experience” Paper https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf ChatGPT Explainer of Era of Expereince https://chatgpt.com/share/680918d5-cde4-8003-8cf4-fb1740a56222 Podcast with David Silver, VP Reinforcement Learning GoogleDeepmind https://x.com/GoogleDeepMind/status/1910363683215008227 Intuicell Robot Learning on it's own  https://youtu.be/CBqBTEYSEmA?si=U51P_R49Mv6cp6Zv Agentic AI “Moore's Law” Chart https://theaidigest.org/time-horizons AI Movies Can Win Oscars https://www.nytimes.com/2025/04/21/business/oscars-rules-ai.html?unlocked_article_code=1.B08.E7es.8Qnj7MeFBLwQ&smid=url-share Runway CEO on Oscars + AI  https://x.com/c_valenzuelab/status/1914694666642956345 Gen48 Film Contest This Weekend - Friday 12p EST deadline https://x.com/runwayml/status/1915028383336931346 Descript AI Editor  https://x.com/andrewmason/status/1914705701357937140 Character AI's New Lipsync / Video Tool https://x.com/character_ai/status/1914728332916384062 Hailuo Character Reference Tool https://x.com/Hailuo_AI/status/1914845649704772043 Dia Open Source Voice Model https://x.com/_doyeob_/status/1914464970764628033 Dia on Hugging Face https://huggingface.co/nari-labs/Dia-1.6B Cluely: New Start-up From Student Who Was Caught Cheating on Tech Interviews https://x.com/im_roy_lee/status/1914061483149001132 AI Agent Writes Reddit Comments Looking To “Convert” https://x.com/SavannahFeder/status/1914704498485842297 Deepfake Logan Paul AI Ad https://x.com/apollonator3000/status/1914658502519202259 The Humanoid Half-Marathon https://apnews.com/article/china-robot-half-marathon-153c6823bd628625106ed26267874d21 Video From Reddit of Robot Marathon https://www.reddit.com/r/singularity/comments/1k2mzyu/the_humanoid_robot_halfmarathon_in_beijing_today/ Vending Bench (AI Agents Run Vending Machines) https://andonlabs.com/evals/vending-bench Turning Kids Drawings Into AI Video https://x.com/venturetwins/status/1914382708152910263 Geriatric Meltdown https://www.reddit.com/r/aivideo/comments/1k3q62k/geriatric_meltdown_2000/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button  

為什麼熱脹冷縮這個看似簡單的物理現象，竟成了先進封裝CoWoS的難題？而用來設計AI晶片的EDA（Electronic Design Automation，電子設計自動化）工具又要如何應對翹曲（warpage）問題的挑戰？ EDA與AI之間的關係其實非常奇妙，一方面EDA工具可以協助設計AI晶片，但另一方面AI又可以回過頭來幫助EDA的發展，甚至Google曾發表研究嘗試用強化學習（Reinforcement Learning）來進行電路佈局。 這集節目特別邀請EDA領域權威張耀文教授，為我們深入剖析AI對IC設計帶來的衝擊與變革，以及台灣半導體產業在人才培育上面臨的關鍵議題。 主持人：天下雜誌總主筆 陳良榕 來賓：台灣大學電機工程學系終生特聘教授、聯發科獨立董事 張耀文 製作團隊：李洛梅、劉駿逸 ＊免費訂閱《胡說科技電子報》，讓你站在台灣科技發展的最前線>> https://bit.ly/3CJbm86 ＊阿榕伯專屬優惠！《2025 AI趨勢論壇》結帳輸入「2025TECH」折價500元，搶先報名>> https://bit.ly/4j59N3M ＊重新認識比爾蓋茲，看見他不為人知的一面，訂閱天下再享閱《原始碼》>> https://bit.ly/3CHBu30 ＊意見信箱：bill@cw.com.tw -- Hosting provided by SoundOn

Demis Hassabis, CEO of Google DeepMind, sparked excitement with his 60 Minutes interview, outlining AI's potential to end all diseases within a decade. Drawing parallels to AlphaFold's revolutionary protein folding solution, Hassabis envisions AI drastically accelerating drug discovery, compressing timelines from years and billions to mere months by rapidly analyzing vast datasets. He highlights DeepMind's AI's astonishing discovery of millions of new materials, far surpassing traditional research, showcasing AI's power to "blaze through solutions." We delve into this ambitious vision, considering its feasibility and comparing it to futuristic scenarios, while also exploring AI's growing impact in cybersecurity, fraud prevention, and diagnostics.Beyond healthcare, we touch upon Will Manidis's intriguing observations on unexpected "miracle cures" linked to LLMs and a humorous take from Sam Altman on ChatGPT etiquette. We also spotlight a compelling custom ChatGPT prompt shared by @andrewchen (https://x.com/andrewchen/status/1914168705228882105). Join us for a thought-provoking discussion on the transformative power of AI and its potential to revolutionize our future.Mentioned: @GoogleDeepMind @demishassabis @WillManidis @andrewchen

At Google Cloud Next 2025, Google Cloud VP and CTO Will Grannis joins Bob Evans to explore how AI is reshaping enterprise technology. Grannis shares how Google Cloud's OCTO team works with customers on complex challenges, using DeepMind research, next-gen TPUs, and AI-native infrastructure, while noting the fading line between B2B and B2C and the cultural changes needed to adapt.Inside Google Cloud's AI Strategy Google Cloud Is AI-Native at Its Core: Grannis says that Google Cloud's approach to AI is foundational. The organization's mindset, shaped by Google's long-standing leadership in AI, infuses every layer of its stack, from infrastructure to user interfaces. With a legacy of deploying machine learning at scale for over a decade, Google Cloud doesn't just offer AI tools—it helps customers reimagine their businesses through AI-native thinking, using products like DeepMind and innovations born across Google's consumer ecosystem.The OCTO Team Solves the Hardest Problems with Customers: Grannis leads the Office of the CTO (OCTO), a team he jokingly calls “the nerdy Navy SEALs.” They tackle highly complex, unsolved customer challenges that can't be addressed by existing products. Rather than building solutions in isolation, they co-create alongside customers. They start with business outcomes and design backward.Multi-Modality and Multi-Agent Systems Are the Future: Looking ahead, Grannis predicts that multi-modal AI, i.e. models that process images, text, speech, and even scent, will become the standard. He also foresees a shift from single-function agents to “agentic workflows” powered by multiple orchestrated AI agents. Google is prototyping orchestration with projects like Astra, that signal a future where AI is not only intelligent but contextually aware and collaborative.The Big Quote: “People . . . spend a lot of time just trying to take a PDF and analyze it. It seems very true. It is a pain . . I think that's one reason why a NotebookLM or a product like that has been so popular because it really attacks like the heart of what people hate doing at work. [AI] puts them in the driver's seat. They can ask questions, they can do analysis.”Learn more:Check out OCTO, NotebookLM, and Google Cloud.

Bird flu, which has long been an emerging threat, took a significant turn in 2024 with the discovery that the virus had jumped from a wild bird to a cow. In just over a year, the pathogen has spread through dairy herds and poultry flocks across the United States. It has also infected people, resulting in 70 confirmed cases, including one fatality. Correspondent Bill Whitaker spoke with veterinarians and virologists who warn that, if unchecked, this outbreak could lead to a new pandemic. They also raise concerns about the Biden administration's slow response in 2024 and now the Trump administration's decision to lay off over 100 key scientists. 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.  One of the most awe-inspiring and mysterious migrations in the natural world is currently taking place, stretching from Mexico to the United States and Canada. This incredible spectacle involves millions of monarch butterflies embarking on a monumental aerial journey. Correspondent Anderson Cooper reports from the mountains of Mexico, where the monarchs spent the winter months sheltering in trees before emerging from their slumber to take flight. 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

Interview with Nikita Roy Linda McMahon just handed A.1. steak sauce an unbelievable opportunity When is 4.1 greater than 4.5? When it's OpenAI's newest model. Google DeepMind Is Hiring a 'Post-AGI' Research Scientist Why do AI company logos look like buttholes? The Dark Power of Fraternities Monkey.zip High levels of toxic chemicals found in paper receipts used by US retailers A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data DolphinGemma: How Google AI is helping decode dolphin communication 'She helps cheer me up': the people forming relationships with AI chatbots A meta-analysis of technology use and cognitive aging Meta CEO Zuckerberg considered spinning off Instagram in 2018 over antitrust worries, email says OpenAI's new o3 and o4-mini models are all about 'thinking with images' Boarding passes and checkin to be scrapped Pickled Popeyes A new season of Game Changer Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nikita Roy 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: spaceship.com/twit monarchmoney.com with code IM

Interview with Nikita Roy Linda McMahon just handed A.1. steak sauce an unbelievable opportunity When is 4.1 greater than 4.5? When it's OpenAI's newest model. Google DeepMind Is Hiring a 'Post-AGI' Research Scientist Why do AI company logos look like buttholes? The Dark Power of Fraternities Monkey.zip High levels of toxic chemicals found in paper receipts used by US retailers A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data DolphinGemma: How Google AI is helping decode dolphin communication 'She helps cheer me up': the people forming relationships with AI chatbots A meta-analysis of technology use and cognitive aging Meta CEO Zuckerberg considered spinning off Instagram in 2018 over antitrust worries, email says OpenAI's new o3 and o4-mini models are all about 'thinking with images' Boarding passes and checkin to be scrapped Pickled Popeyes A new season of Game Changer Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nikita Roy 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: spaceship.com/twit monarchmoney.com with code IM

OpenAI's o3 and o4-mini are here—and they're multimodal, cheaper, and scary good. These models can see, code, plan, and use tools all on their own. Yeah. It's a big deal. We break down everything from tool use to image reasoning to why o3 might be the start of something actually autonomous. Plus, our favorite cursed (and adorable) 4o Image Generation  prompts, ChatGPT as a social network, the old (Monday) news about GPT-4.1 including free Windsurf coding for a week! Also, Kling 2.0 and Veo 2 drop new AI video models, Google's Deepmind is using AI to talk to dolphins, NVIDIA's new chip restrictions and Eric Schmidt says the computers… don't have to listen to us anymore. Uh-oh. THE COMPUTERS HAVE EYES. AND THEY MIGHT NOT NEED US. STILL A GOOD SHOW. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // O3 + o4-MINI ARE HERE LIVE STREAM: https://www.youtube.com/live/sq8GBPUb3rk?si=qQMFAvm8UmvyGaWv OpenAI Blog Post: https://openai.com/index/introducing-o3-and-o4-mini/ “Thinking With Images”  https://openai.com/index/thinking-with-images/ Codex CLI  https://x.com/OpenAIDevs/status/1912556874211422572 Professor & Biomedical Scientist Reaction to o3 https://x.com/DeryaTR_/status/1912558350794961168 Linda McMahon's A1 vs AI https://www.usatoday.com/story/news/politics/2025/04/12/linda-mcmahon-a1-instead-of-ai/83059797007/ GPT-4.1 in the API https://openai.com/index/gpt-4-1/ GPT-4.1 Reduces The Need to Read Unneccesary Files https://www.reddit.com/r/singularity/comments/1jz600b/one_of_the_most_important_bits_of_the_stream_if/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button OpenAI Might Acquire WIndsurf for 3 Billion Dollars https://www.cnbc.com/2025/04/16/openai-in-talks-to-pay-about-3-billion-to-acquire-startup-windsurf.html ChatGPT: The Social Network https://x.com/kyliebytes/status/1912171286039793932 New ChatGPT Image Library  https://chatgpt.com/library  4o Image Gen Prompts We Love Little Golden Books https://x.com/AIForHumansShow/status/1912321209297191151 Make your pets people https://x.com/gavinpurcell/status/1911243562928447721 Barbie https://x.com/AIForHumansShow/status/1910514568595726414 Coachella Port-a-potty https://x.com/AIForHumansShow/status/1911604534713192938 Ex-Google CEO Says The Computers Are Improving Fast https://www.reddit.com/r/artificial/comments/1jzw6bd/eric_schmidt_says_the_computers_are_now/ Kling 2.0 https://x.com/Kling_ai/status/1912040247023788459 Rotisserie Chicken Knight Prompt in Kling 2.0: https://x.com/AIForHumansShow/status/1912170034761531817 Kling example that didn't work that well: https://x.com/AIForHumansShow/status/1912298707955097842 Veo 2 Launched in AI Studio https://aistudio.google.com/generate-video https://blog.google/products/gemini/video-generation/ James Cameron on “Humans as a Model” https://x.com/dreamingtulpa/status/1910676179918397526 Nvidia Restricting More Chip Sales To China https://www.nytimes.com/2025/04/15/technology/nvidia-h20-chip-china-restrictions.html $500 Billion for US Chip Manufacturing https://www.cnbc.com/2025/04/14/nvidia-to-mass-produce-ai-supercomputers-in-texas.html Dolphin Gemma: AI That Will Understand Dolphins https://x.com/GoogleDeepMind/status/1911767367534735832 Jason Zada's Very Cool Veo 2 Movie https://x.com/jasonzada/status/1911812014059733041 Robot Fire Extinguisher https://x.com/CyberRobooo/status/1911665518765027788  

Interview with Nikita Roy Linda McMahon just handed A.1. steak sauce an unbelievable opportunity When is 4.1 greater than 4.5? When it's OpenAI's newest model. Google DeepMind Is Hiring a 'Post-AGI' Research Scientist Why do AI company logos look like buttholes? The Dark Power of Fraternities Monkey.zip High levels of toxic chemicals found in paper receipts used by US retailers A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data DolphinGemma: How Google AI is helping decode dolphin communication 'She helps cheer me up': the people forming relationships with AI chatbots A meta-analysis of technology use and cognitive aging Meta CEO Zuckerberg considered spinning off Instagram in 2018 over antitrust worries, email says OpenAI's new o3 and o4-mini models are all about 'thinking with images' Boarding passes and checkin to be scrapped Pickled Popeyes A new season of Game Changer Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nikita Roy 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: spaceship.com/twit monarchmoney.com with code IM

Interview with Nikita Roy Linda McMahon just handed A.1. steak sauce an unbelievable opportunity When is 4.1 greater than 4.5? When it's OpenAI's newest model. Google DeepMind Is Hiring a 'Post-AGI' Research Scientist Why do AI company logos look like buttholes? The Dark Power of Fraternities Monkey.zip High levels of toxic chemicals found in paper receipts used by US retailers A weird phrase is plaguing scientific papers – and we traced it back to a glitch in AI training data DolphinGemma: How Google AI is helping decode dolphin communication 'She helps cheer me up': the people forming relationships with AI chatbots A meta-analysis of technology use and cognitive aging Meta CEO Zuckerberg considered spinning off Instagram in 2018 over antitrust worries, email says OpenAI's new o3 and o4-mini models are all about 'thinking with images' Boarding passes and checkin to be scrapped Pickled Popeyes A new season of Game Changer Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nikita Roy 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: spaceship.com/twit monarchmoney.com with code IM

How can AI help us understand and master deeply complex systems—from the game Go, which has 10 to the power 170 possible positions a player could pursue, or proteins, which, on average, can fold in 10 to the power 300 possible ways? This week, Reid and Aria are joined by Demis Hassabis. Demis is a British artificial intelligence researcher, co-founder, and CEO of the AI company, DeepMind. Under his leadership, DeepMind developed Alpha Go, the first AI to defeat a human world champion in Go and later created AlphaFold, which solved the 50-year-old protein folding problem. He's considered one of the most influential figures in AI. Demis, Reid, and Aria discuss game theory, medicine, multimodality, and the nature of innovation and creativity. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/  Listen to more from Possible here. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Mustafa Suleyman is the CEO of Microsoft AI and a co-founder of DeepMind. He joins Big Technology to discuss Microsoft's strategy to build more personalized and emotionally intelligent AI companions. Tune in to hear how Microsoft is differentiating its AI offerings through personality design, memory features, and action capabilities that could transform our digital interactions. We also cover Microsoft's data center plans, its relationship with OpenAI, and predictions about when we might reach AGI. Hit play for a fascinating look at the future of human-AI relationships and what it means for work, technology, and society. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/ Want a discount for Big Technology on Substack? Here's 40% off for the first year: https://tinyurl.com/bigtechnology Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Ep. 315 The Internet is melting as ChatGPT's brand new image generation feature rapidly gains users! Kipp and Kieran dive into how you can leverage this groundbreaking tool to transform your marketing efforts. Learn more on creating endless variations of marketing content with AI, crafting stunning visuals using deep research and templated prompts, and redefining traditional creative processes with innovative AI solutions. Mentions Get Kipp's Prompt here: https://clickhubspot.com/prm Get our AI Content Creation Checklist: https://clickhubspot.com/cct ChatGPT 4o https://openai.com/index/hello-gpt-4o/ Deepmind https://deepmind.google/ David Ogilvy https://en.wikipedia.org/wiki/David_Ogilvy_(businessman) We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Aravind Srinivas is the co-founder and CEO of Perplexity AI, the world's first generally available conversation answer engine. Founded in August 2022 with Johnny Ho, Andy Konwinski, and Denis Yarats, Perplexity delivers accurate, sourced answers to any question. Born and raised in Chennai, India, Srinivas moved to the U.S. in 2017 and earned a PhD in Computer Science from the University of California, Berkeley, where he also taught a course in Deep Unsupervised Learning. He previously held prominent research roles at OpenAI, DeepMind, and Google, and he has positioned Perplexity as a leader in AI-powered information access with backing from top investors including Jeff Bezos, Elad Gil, Nat Friedman, and many others. ------ Thank you to the sponsors that fuel our podcast and our team: Squarespace https://squarespace.com/tetra Use code 'TETRA' ------ LMNT Electrolytes https://drinklmnt.com/tetra Use code 'TETRA' ------ Athletic Nicotine https://www.athleticnicotine.com/tetra Use code 'TETRA' ------ Sign up to receive Tetragrammaton Transmissions https://www.tetragrammaton.com/join-newsletter

Google's artificial intelligence arm DeepMind has been holding back the release of its world-renowned research, and Elon Musk has poured an unprecedented amount of money into a Wisconsin state supreme court race. Plus, Lebanon's new central bank governor Karim Souaid has been mired in controversy. Mentioned in this podcast:DeepMind slows down research releases in battle to keep competitive edgeThe people vs Elon Musk: billionaire transforms Wisconsin court contestLebanon closes in on next central bank headThe FT News Briefing is produced by Fiona Symon, Sonja Hutson, Kasia Broussalian, Ethan Plotkin, Lulu Smyth, and Marc Filippino. Additional help from Breen Turner, Sam Giovinco, Peter Barber, Michael Lello, David da Silva and Gavin Kallmann. Our engineer is Joseph Salcedo. Topher Forhecz is the FT's executive producer. The FT's global head of audio is Cheryl Brumley. The show's theme song is by Metaphor Music.Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

The Electric State, Kill Switches, Baidu's AI, Scopely, Careless People, Gemini Robotics An arbitrator instructs a former Meta employee to stop promoting and publishing her book alleging company misconduct; publisher Flatiron Books earlier objected DeepMind's latest AI model can help robots fold origami and close Ziploc bags Future Today Strategy Group, or FTSG. Intel has a new CEO Russo Brothers' Busy, Boring Netflix Sci-Fi Directors Anthony and Joe Russo say they're building a high-tech studio aiming to help artists use AI as a creative tool to make films, shows, and video games Baidu launches two new versions of its AI model Ernie Startup Claims Its Upcoming (RISC-V ISA) Zeus GPU is 10X Faster Than Nvidia's RTX 5090 Pokemon Go is getting a new owner after almost 9 years with Niantic Developer convicted for "kill switch" code activated upon his termination TikTok will play 'calming music' to remind teens to stop using the app F-35 kill switch concerns non-US countries Firmware update bricks HP printers, makes them unable to use HP cartridges Sonos Cancels Its Streaming Video Player - Slashdot Everything You Say To Your Echo Will Be Sent To Amazon Starting On March 28 Musk-led cuts drive US consumer protection agency to ask for Amazon trial delay Host: Leo Laporte Guests: Amy Webb, Glenn Fleishman, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: zscaler.com/security shopify.com/twit joindeleteme.com/twit promo code TWIT ZipRecruiter.com/Twit uscloud.com