Podcasts about google deepmind

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

Ali is VP of AI Product at SandboxAQ and was Product lead at Google DeepMind. Previously at Google Research. Before that: Meta (including Facebook AI - FAIR, Integrity and News Feed), LinkedIn, Yahoo, Microsoft and a startup. PHD in computer science.In this episode we talk about the current climate in silicon valley. To reach Ali go to :https://www.instagram.com/alikh1980 Hosted on Acast. See acast.com/privacy for more information.

(0:00) Introducing Sir Demis Hassabis, reflecting on his Nobel Prize win (2:39) What is Google DeepMind? How does it interact with Google and Alphabet? (4:01) Genie 3 world model (9:21) State of robotics models, form factors, and more (14:42) AI science breakthroughs, measuring AGI (20:49) Nano-Banana and the future of creative tools, democratization of creativity (24:44) Isomorphic Labs, probabilistic vs deterministic, scaling compute, a golden age of science Thanks to our partners for making this happen! Solana: https://solana.com/ OKX: https://www.okx.com/ Google Cloud: https://cloud.google.com/ IREN: https://iren.com/ Oracle: https://www.oracle.com/ Circle: https://www.circle.com/ BVNK: https://www.bvnk.com/ Follow Demis: https://x.com/demishassabis Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect  

AI is here, and today is the worst it is ever going to be. But there are also over 8 billion human beings, so the biggest question of all is - how are we going to cooperate and even co-exist? Is AI here to take all the jobs or create economic and scientific super-abundance? And for human health, will we all carry a personal AI health agent in our pockets helping us live healthier and happier and prevent disease, and will AI cure every single cancer by 2030? At this stage, there are more questions than answers, which is why I invited the number one artificial intelligence futurist onto the show.Steve Brown is a leading voice in the field of artificial intelligence. A former executive at Google DeepMind and Intel, he has delivered hundreds of information-packed and entertaining keynotes across five continents, inspiring audiences to take action with AI. ‍As a thought leader on AI, generative AI, autonomous agents, digital transformation, and the future impact of AI on business, education, and society, Over his 25-year career, Steve has held senior leadership roles, including Senior Director and in-house Futurist at Google DeepMind in London and Intel's Chief Evangelist and Futurist. He is the co-founder of The Provenance Chain Network, a company providing supply chain transparency and security services for the U.S. Space Force, as well as a strategic advisor to two AI startups and a BCG Luminary. Steve's mission is to help organisations build a better future with AI by creating new customer experiences, streamlining operations, and elevating the workforce. Join us as we explore:What is AI, what are the different types, why use one type over the other, what AI can do today and why today is the worst AI will ever be.How to use AI right now to improve decision making, and specifically your personal health AI agent who is there with you 24/7 to make medicine, health and performance optimization choices.How to think of and deploy AI as an enhancer and augmenter or our lives and professions rather than fearing it is here to replace you.Prompt engineering your health and performance.AI hallucinations, AI risks, AI misuse, AI misalignment and AI blackmail. Contact:Website - https://www.stevebrown.aiMentions:Tools - NotebookLM, https://notebooklm.googleTools - Perplexity, https://www.perplexity.aiSupport the showFollow Steve's socials: Instagram | LinkedIn | YouTube | Facebook | Twitter | TikTokSupport the show on Patreon:As much as we love doing it, there are costs involved and any contribution will allow us to keep going and keep finding the best guests in the world to share their health expertise with you. I'd be grateful and feel so blessed by your support: https://www.patreon.com/MadeToThriveShowSend me a WhatsApp to +27 64 871 0308. Disclaimer: Please see the link for our disclaimer policy for all of our content: https://madetothrive.co.za/terms-and-conditions-and-privacy-policy/

In this episode of People of AI , we take you behind the scenes of "ANCESTRA," a groundbreaking film that integrates generative artificial intelligence into its core. Hear from the director Eliza McNitt and key collaborators from the Google DeepMind team about how they leveraged AI as a new creative tool, navigated its capabilities and limitations, and ultimately shaped a unique cinematic experience. Understand the future role of AI in filmmaking and its potential for developers and storytellers. Chapters: 0:00 - Introduction to Ancestra: AI in filmmaking 3:38 - The Origin Story of ANCESTRA 5:35 - Google DeepMind and Primordial Soup collaboration 11:47 - Veo and the creative process 20:21 - Behind the scenes: Making the film 28:47 - Generating videos: Gemini and Veo tools 38:11 - AI as a creative tool, not a replacement 47:41 - AI's impact and the future of the film industry 53:51 - Generative models: A new kind of camera 57:46 - Rapid fire & conclusion Resources: Ancestra → https://goo.gle/4mVScNW  Making of ANCESTRA → https://goo.gle/3JVJil1  Veo 3 → https://goo.gle/4mWn3Kz  Veo 3 Documentation → https://goo.gle/46qqFOV  Veo 3 Cookbook → https://goo.gle/3VMVFSZ  Google Flow → https://goo.gle/3VMVR4F  Watch more People of AI → https://goo.gle/PAI  Subscribe to Google for Developers → https://goo.gle/developers #PeopleofAI Speaker: Christina Warren, Ashley Oldacre,  Eliza McNitt, Ben Wiley, Corey Matthewson,  Products Mentioned: Google AI, Gemini, Veo 2, Veo 3

We don't know how AIs think or why they do what they do. Or at least, we don't know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultural influence, directly advise on major government decisions, and even operate military equipment autonomously. We simply can't tell what models, if any, should be trusted with such authority.Neel Nanda of Google DeepMind is one of the founding figures of the field of machine learning trying to fix this situation — mechanistic interpretability (or “mech interp”). The project has generated enormous hype, exploding from a handful of researchers five years ago to hundreds today — all working to make sense of the jumble of tens of thousands of numbers that frontier AIs use to process information and decide what to say or do.Full transcript, video, and links to learn more: https://80k.info/nn1Neel now has a warning for us: the most ambitious vision of mech interp he once dreamed of is probably dead. He doesn't see a path to deeply and reliably understanding what AIs are thinking. The technical and practical barriers are simply too great to get us there in time, before competitive pressures push us to deploy human-level or superhuman AIs. Indeed, Neel argues no one approach will guarantee alignment, and our only choice is the “Swiss cheese” model of accident prevention, layering multiple safeguards on top of one another.But while mech interp won't be a silver bullet for AI safety, it has nevertheless had some major successes and will be one of the best tools in our arsenal.For instance: by inspecting the neural activations in the middle of an AI's thoughts, we can pick up many of the concepts the model is thinking about — from the Golden Gate Bridge, to refusing to answer a question, to the option of deceiving the user. While we can't know all the thoughts a model is having all the time, picking up 90% of the concepts it is using 90% of the time should help us muddle through, so long as mech interp is paired with other techniques to fill in the gaps.This episode was recorded on July 17 and 21, 2025.Interested in mech interp? Apply by September 12 to be a MATS scholar with Neel as your mentor! http://tinyurl.com/neel-mats-appWhat did you think? https://forms.gle/xKyUrGyYpYenp8N4AChapters:Cold open (00:00)Who's Neel Nanda? (01:02)How would mechanistic interpretability help with AGI (01:59)What's mech interp? (05:09)How Neel changed his take on mech interp (09:47)Top successes in interpretability (15:53)Probes can cheaply detect harmful intentions in AIs (20:06)In some ways we understand AIs better than human minds (26:49)Mech interp won't solve all our AI alignment problems (29:21)Why mech interp is the 'biology' of neural networks (38:07)Interpretability can't reliably find deceptive AI – nothing can (40:28)'Black box' interpretability — reading the chain of thought (49:39)'Self-preservation' isn't always what it seems (53:06)For how long can we trust the chain of thought (01:02:09)We could accidentally destroy chain of thought's usefulness (01:11:39)Models can tell when they're being tested and act differently (01:16:56)Top complaints about mech interp (01:23:50)Why everyone's excited about sparse autoencoders (SAEs) (01:37:52)Limitations of SAEs (01:47:16)SAEs performance on real-world tasks (01:54:49)Best arguments in favour of mech interp (02:08:10)Lessons from the hype around mech interp (02:12:03)Where mech interp will shine in coming years (02:17:50)Why focus on understanding over control (02:21:02)If AI models are conscious, will mech interp help us figure it out (02:24:09)Neel's new research philosophy (02:26:19)Who should join the mech interp field (02:38:31)Advice for getting started in mech interp (02:46:55)Keeping up to date with mech interp results (02:54:41)Who's hiring and where to work? (02:57:43)Host: Rob WiblinVideo editing: Simon Monsour, Luke Monsour, Dominic Armstrong, and Milo McGuireAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellCamera operator: Jeremy ChevillotteCoordination, transcriptions, and web: Katy Moore

To answer this question, we speak with Dr. Alan Karthikesalingam and Vivek Natarajan from Google DeepMind about their groundbreaking AI co-scientist project. Beyond their work at Google, Alan is an honorary lecturer in vascular surgery at Imperial College London, and Vivek teaches at Harvard's T.H. Chan School of Public Health. Together, we discuss how their system has evolved to mirror parts of human hypothesis generation while also diverging in fascinating ways. We talk about its internal “tournaments” of ideas, its ability to be prompted to “think out of the box,” and whether it becomes too constrained by the need to align with every published “fact”. And we discuss how we still seem far away from a time when AI can not only answer our questions, but can ask new and exciting research questions itself.The Night Science Podcast is produced by the Night Science Institute – for more information on Night Science, visit night-science.org .

Highlights00:03 — Microsoft AI CEO Mustafa Suleyman has published a blog post that criticizes the notion of seemingly conscious AI. He argues that the pursuit of this idea, particularly regarding AI model welfare, is misguided.00:19 — Suleyman explains that these concepts are already causing mental health issues among users. He is growing: “more and more concerned about what is becoming known as the psychosis risk and a bunch of related issues. I don't think this will be limited to those who are already at risk of mental health issues.”00:56 — Suleyman argues that we should “build AI for people not to be a person.” He is adamant in his neglect of this previous approach, saying that: “The arrival of seemingly conscious AI is inevitable and unwelcome. Instead, we need a vision for AI that can fulfill its potential as a helpful companion without falling prey to its illusions.”AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details. 01:18 — Meanwhile, companies like Anthropic, OpenAI, and Google DeepMind are actively pursuing AI consciousness or welfare research. Now, while there are complications and not everyone is on the same page, here, it is clear that the evolving scenarios and possibilities presented by AI are increasingly reaching into the realm of the surreal and in some cases, they're fantastical.01:42 — This is largely because, for the first time in human history, we have a tool that is evolving at a pace beyond which we can conceive. While some of these ideas may sound far-fetched, the warnings accompanying them are serious based on real concerns coming from leaders in the AI space, the ones leading this new AI revolution.02:04 — What everyone must do, and though it will be challenging, is to start imagining the unimaginable. Once you accept the vast possibilities of AI, both good and bad, you can begin to take the warnings that come with them seriously. Visit Cloud Wars for more.

It sounds promising: AI chatbots acting as scientists, condensing the work of weeks, months, or even years of reading, debate, and hour-long lab meetings into minutes. Researchers at Stanford University and Google DeepMind have released multi-agent AI “scientist” systems. But how good are they, really, and will they overcome current limitations of large language models like OpenAI's GPT or Google's Gemini—such as the lack of robust reasoning capabilities, which are crucial for scientific discovery? In the 38th episode of the BioRevolution Podcast, Andreas Horchler and Louise von Stechow discuss the promise and the reality of AI scientists. Learn more about the future of biotech in our podcasts and keynotes. Contact us here: scientific communication: https://science-tales.com/ Podcasts: https://www.podcon.de/ Keynotes: https://www.zukunftsinstitut.de/louise-von-stechow Image: Igor Saikin via Unsplash

Nano Banana is no longer a mystery.Google officially released Gemini 2.5 Flash Image on Tuesday (AKA Nano Banana), revealing it was the company behind the buzzy AI image model that had the internet talking. But... what does it actually do? And how can you put it to work for you? Find out in our newish weekly segment, AI at Work on Wednesdays.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini 2.5 Flash Image (Nano Banana) RevealBenchmark Scores: Gemini 2.5 Flash Image vs. CompetitionMultimodal Model Capabilities ExplainedCharacter Consistency in AI Image GenerationAdvanced Image Editing: Removal and Object ControlIntegration with Google AI Studio and APIReal-World Business Use Cases for Gemini 2.5Live Demos: Headshots, Mockups, and InfographicsGemini 2.5 Flash Image Pricing and LimitsIterative Prompting for AI Image CreationTimestamps:00:00 "AI Highlights: Google's Gemini 2.5"06:17 "Nano Banana AI Features"09:58 "Revolutionizing Photo Editing Tools"12:31 "Nano Banana: Effortless Video Updating"14:39 "Impressions on Nano Banana"19:24 AI Growth Strategies Unlocked20:58 Turning Selfie into Professional Headshot24:48 AI-Enhanced Headshots and Team Photos29:51 "3D AI Logo Mockups"32:22 Improved Logo Design Review35:41 Photoshop Shortcut Critique38:50 Deconstructive Design with Logos44:01 "Transform Diagrams Into Presentations"46:12 "Refining AI for Jaw-Dropping Results"Keywords:Gemini 2.5, Gemini 2.5 Flash Image, Nano Banana, Google AI, Google DeepMind, AI image generation, multimodal model, AI photo editing, image manipulation, text-to-image model, image editing AI, large language model, character consistency, AI headshot generator, real estate image editing, product mockup generator, smart image blending, style transfer AI, Google AI Studio, LM Arena, Elo score, AI watermarks, synthID fingerprint, Photoshop alternative, AI-powered design, generative AI, API integration, Adobe integration, AI for business, visual content creation, creative AI tools, professional image editing, iterative prompting, interior design AI, infographic generator, training material visuals, A/B test variations, marketing asset creation, production scaling, image benchmark, AI output watermark, cost-effective AI images, scalable AI infrastructure, prompt-based editing, natural language image editing, OpenAI GPT-4o image, benchmarking leader, visSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

pWotD Episode 3038: Google Welcome to popular Wiki of the Day, spotlighting Wikipedia's most visited pages, giving you a peek into what the world is curious about today.With 1,467,444 views on Tuesday, 26 August 2025 our article of the day is Google.Google LLC ( , GOO-gəl) is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as "the most powerful company in the world" by the BBC and is one of the world's most valuable brands. Google's parent company, Alphabet Inc., is one of the five Big Tech companies alongside Amazon, Apple, Meta, and Microsoft.Google was founded on September 4, 1998, by American computer scientists Larry Page and Sergey Brin. Together, they own about 14% of its publicly listed shares and control 56% of its stockholder voting power through super-voting stock. The company went public via an initial public offering (IPO) in 2004. In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Google is Alphabet's largest subsidiary and is a holding company for Alphabet's internet properties and interests. Sundar Pichai was appointed CEO of Google on October 24, 2015, replacing Larry Page, who became the CEO of Alphabet. On December 3, 2019, Pichai also became the CEO of Alphabet.After the success of its original service, Google Search (often known simply as "Google"), the company has rapidly grown to offer a multitude of products and services. These products address a wide range of use cases, including email (Gmail), navigation and mapping (Waze, Maps, and Earth), cloud computing (Cloud), web navigation (Chrome), video sharing (YouTube), productivity (Workspace), operating systems (Android and ChromeOS), cloud storage (Drive), language translation (Translate), photo storage (Photos), videotelephony (Meet), smart home (Nest), smartphones (Pixel), wearable technology (Pixel Watch and Fitbit), music streaming (YouTube Music), video on demand (YouTube TV), AI (Google Assistant and Gemini), machine learning APIs (TensorFlow), AI chips (TPU), and more. Many of these products and services are dominant in their respective industries, as is Google Search. Discontinued Google products include gaming (Stadia), Glass, Google+, Reader, Play Music, Nexus, Hangouts, and Inbox by Gmail. Google's other ventures outside of internet services and consumer electronics include quantum computing (Sycamore), self-driving cars (Waymo), smart cities (Sidewalk Labs), and transformer models (Google DeepMind).Google Search and YouTube are the two most-visited websites worldwide, followed by Facebook and Twitter (now known as X). Google is also the largest search engine, mapping and navigation application, email provider, office suite, online video platform, photo and cloud storage provider, mobile operating system, web browser, machine learning framework, and AI virtual assistant provider in the world as measured by market share. On the list of most valuable brands, Google is ranked second by Forbes as of January 2022 and fourth by Interbrand as of February 2022. The company has received significant criticism involving issues such as privacy concerns, tax avoidance, censorship, search neutrality, antitrust, and abuse of its monopoly position.This recording reflects the Wikipedia text as of 01:55 UTC on Wednesday, 27 August 2025.For the full current version of the article, see Google on Wikipedia.This podcast uses content from Wikipedia under the Creative Commons Attribution-ShareAlike License.Visit our archives at wikioftheday.com and subscribe to stay updated on new episodes.Follow us on Mastodon at @wikioftheday@masto.ai.Also check out Curmudgeon's Corner, a current events podcast.Until next time, I'm neural Niamh.

This week on “Paul, Weiss Waking Up With AI,” Katherine Forrest and Anna Gressel explore the rapid advancements and real-world applications of AI world models, highlighting cutting-edge developments like Google DeepMind's Genie 3, Fei-Fei Li's World Labs and Microsoft Muse. ## Learn More About Paul, Weiss's Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

In this episode of ACM ByteCast, Bruke Kifle hosts 2024 ACM Athena Lecturer and ACM Eugene L. Lawler Award recipient Maja Matarić, the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science, Neuroscience, and Pediatrics at the University of Southern California (USC), and a Principal Scientist at Google DeepMind. Maja is a roboticist and AI researcher known for her work in human-robot interaction for socially assistive robotics, a field she pioneered. She is the founding director of the USC Robotics and Autonomous Systems Center and co-director of the USC Robotics Research Lab. Maja is a member of the American Academy of Arts and Sciences (AMACAD), Fellow of the American Association for the Advancement of Science (AAAS), IEEE, AAAI, and ACM. She received the US Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring (PAESMEM) from President Obama in 2011. She also received the Okawa Foundation, NSF Career, the MIT TR35 Innovation, the IEEE Robotics and Automation Society Early Career, and the Anita Borg Institute Women of Vision Innovation Awards, among others, and is an ACM Distinguished Lecturer. She is featured in the documentary movie Me & Isaac Newton. In the interview, Maja talks about moving to the U.S. from Belgrade, Serbia and how her early interest in both computer and behavioral sciences led her to socially assistive robotics, a field she saw as measurably helpful. She discusses the challenges of social assistance as compared to physical assistance and why progress in the field is slow. Maja explains why Generative AI is conducive to creating socially engaging robots, and touches on the issues of privacy, bias, ethics, and personalization in the context of assistive robotics. She also shares some concerns about the future, such as the dehumanization of AI interactions, and also what she's looking forward to in the field. We want to hear from you!

Today, we're joined by Jack Parker-Holder and Shlomi Fruchter, researchers at Google DeepMind, to discuss the recent release of Genie 3, a model capable of generating “playable” virtual worlds. We dig into the evolution of the Genie project and review the current model's scaled-up capabilities, including creating real-time, interactive, and high-resolution environments. Jack and Shlomi share their perspectives on what defines a world model, the model's architecture, and key technical challenges and breakthroughs, including Genie 3's visual memory and ability to handle “promptable world events.” Jack, Shlomi, and Sam share their favorite Genie 3 demos, and discuss its potential as a dynamic training environment for embodied AI agents. Finally, we will explore future directions for Genie research. The complete show notes for this episode can be found at https://twimlai.com/go/743.

Tonight's Guest WeatherBrain is a professor of mechanical engineering and applied mathematics at the University of Pennsylvania.  He previously served as a principal scientist at Microsoft Research, where he led the development of Aurora.  This was the groundbreaking AI foundation model for earth system forecasting.  Dr. Paris Perdikaris, welcome to WeatherBrains! Our email officer Jen is continuing to handle the incoming messages from our listeners. Reach us here: email@weatherbrains.com. What is Aurora and the motivation for the program? (08:15) Practical experience and forecasting with tropical forecasting with Aurora (12:30) Success stories with Aurora (14:00) Convection-allowing models (CAMS) (17:15) Convective feedback problems with models (18:45) Emergence of the Google DeepMind ensemble and other AI models (20:00) Aurora's hardware architecture and its importance (23:30) Continuing need of physics-based models in the age of AI (28:00) Ethical considerations and biases in model training data (33:30) Role of US agencies and potential loss of funding (37:55) Communicating AI forecasts to the public and the ensuing ethical issues (42:30) Broad risks of using AI (44:30) Aurora business model (58:45) The Astronomy Outlook with Tony Rice (01:05:25) This Week in Tornado History With Jen (01:07:25) E-Mail Segment (01:09:30) and more! Web Sites from Episode 1022: Penn's Predictive Intelligence Lab Alabama Weather Network on Facebook Picks of the Week: James Aydelott - Dr. Cameron Nixon on YouTube: Cell Mergers and Nudgers Jen Narramore - "Significant Tornadoes 1680-1991" by Thomas Grazulis Rick Smith - USA Jobs Troy Kimmel - Foghorn Kim Klockow-McClain - Out John Gordon - Live Recon in the Atlantic Basin Bill Murray - Foghorn James Spann - Weather Lab: Cyclones The WeatherBrains crew includes your host, James Spann, plus other notable geeks like Troy Kimmel, Bill Murray, Rick Smith, James Aydelott, Jen Narramore, John Gordon, and Dr. Kim Klockow-McClain. They bring together a wealth of weather knowledge and experience for another fascinating podcast about weather.

Perch, l'outil de bioacoustique développé par Google DeepMind, permet aux chercheurs et écologistes de créer leurs propres détecteurs sonores pour analyser la nature, sur terre comme sous l'eau. La nouvelle version élargit sa base de données à environ 14 000 espèces et reste suffisamment légère pour fonctionner sur un ordinateur portable, rendant l'outil accessible à travers le monde. Déjà utilisé pour protéger des habitats menacés, comme en Australie, Perch a aussi servi à évaluer la santé de récifs coralliens uniquement grâce à l'audio. Le projet, porté notamment par l'équipe de Montréal, vise à transformer ces détections en véritables connaissances écologiques et pourrait, à terme, réduire les méthodes invasives d'étude animale. Entrevue avec Vincent Dumoulin, chercheur scientifique chez Google DeepMind.

Genie 3 can generate fully interactive, persistent worlds from just text, in real time.In this episode, Google DeepMind's Jack Parker-Holder (Research Scientist) and Shlomi Fruchter (Research Director) join Anjney Midha, Marco Mascorro, and Justine Moore of a16z, with host Erik Torenberg, to discuss how they built it, the breakthrough “special memory” feature, and the future of AI-powered gaming, robotics, and world models.They share:How Genie 3 generates interactive environments in real timeWhy its “special memory” feature is such a breakthroughThe evolution of generative models and emergent behaviorsInstruction following, text adherence, and model comparisonsPotential applications in gaming, robotics, simulation, and moreWhat's next: Genie 4, Genie 5, and the future of world models This conversation offers a first-hand look at one of the most advanced world models ever created. Timecodes: 0:00 Introduction & The Magic of Genie 30:41 Real-Time World Generation Breakthroughs1:22 The Team's Journey: From Genie 1 to Genie 35:03 Interactive Applications & Use Cases8:03 Special Memory and World Consistency12:29 Emergent Behaviors and Model Surprises18:37 Instruction Following and Text Adherence19:53 Comparing Genie 3 and Other Models21:25 The Future of World Models & Modality Convergence27:35 Downstream Applications and Open Questions31:42 Robotics, Simulation, and Real-World Impact39:33 Closing Thoughts & Philosophical Reflections Resources:Find Shlomi on X: https://x.com/shlomifruchterFind Jack on X: https://x.com/jparkerholderFind Anjney on X: https://x.com/anjneymidhaFind Justine on X: https://x.com/venturetwinsFind Marco on X: https://x.com/Mascobot Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Would you sell Chrome for USD 34.5 billion dollars? In episode 68 of Mixture of Experts, host Tim Hwang is joined by Abraham Daniels, Sophie Kuijt and Shobhit Varshney for another packed week in AI. First, AI startup Perplexity puts out a bid for Google Chrome at over double their valuation. Why? Next, xAI released Grok Imagine and claims it will be the next Vine. Our experts analyze the future of AI video generation. Finally, one week after the GPT-5 release and skeptics are saying it did not live up to the hype. Is AI development plateauing? All that and more on Mixture of Experts! 00:00 – Intro 01:17 – MoE News: NVIDIA H20s, Apple AI devices, AI people pleasers and Google DeepMind's bioacoustics model 02:40 – Perplexity's USD 34.5B bid 12:10 – Grok Imagine 24:23 – GPT-5 check-in The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe to the Think Newsletter → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligence Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

GPT-5 finally landed, and the hype was matched with backlash. In this episode, Paul and Mike share their takeaways from the new model, provide insights into the gravity of DeepMind's photorealistic Genie 3 world-model, unravel Perplexity's stealth crawling controversy, touch on OpenAI's open-weight release and rumored $500 billion valuation, and more in our rapid-fire section.  Show Notes: Access the show notes and show links here Timestamps:  00:00:00 — Intro 00:04:57 — GPT-5 Launch and First Reactions 00:25:29 — DeepMind's Genie 3 World Model 00:32:20 — Perplexity vs. Cloudflare Crawling Dispute 00:37:37 — OpenAI Returns to Open Weights 00:41:21 — OpenAI $500B Secondary Talks 00:44:26 — Anthropic Claude Opus 4.1 and System Prompt Update 00:49:57 — AI and the Future of Work  00:56:02 — OpenAI “universal verifiers” 01:00:42 — OpenAI Offers ChatGPT to the Federal Workforce 01:02:59 — ElevenLabs Launches AI Music 01:05:32 — Meta Buys AI Audio Startup 01:09:46 — Google AI Pro for Students This episode is brought to you by our Academy 3.0 Launch Event. Join Paul Roetzer and the SmarterX team on August 19 at 12pm ET for the launch of AI Academy 3.0 by SmarterX —your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Register here. This week's episode is also brought to you by Intro to AI, our free, virtual monthly class, streaming live on Aug. 14 at 12 p.m. ET. Reserve your seat AND attend for a chance to win a 12-month AI Mastery Membership.  For more information on Intro to AI and to register for this month's class, visit www.marketingaiinstitute.com/intro-to-ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

AI-generated “brain rot” videos are popping up all over the internet and getting a lot of attention. Currently gaining traction among younger users, these clips feature wild characters, like a shark wearing sneakers and a ballerina with a cappuccino for a head. One startup driving this trend is OpenArt, founded by two former Google employees in 2022. It touts around 3 million monthly active users. In other news, OpenAI astounded the tech industry for the second time this week by launching its newest flagship model, GPT-5, just days after releasing two new freely available models under an open source license. OpenAI CEO Sam Altman went so far as to call GPT-5 “the best model in the world.” That may be pride or hyperbole, as TechCrunch's Maxwell Zeff reports that GPT-5 only slightly outperforms other leading AI models from Anthropic, Google DeepMind, and xAI on some key benchmarks, and slightly lags on others. Learn more about your ad choices. Visit podcastchoices.com/adchoices

First, a collection of first reactions to GPT-5. This week saw major AI shifts — from web-scraping battles to the brutal economics of AI coding startups. Cloudflare took aim at Perplexity over “stealth crawling,” Google defended AI overviews against claims they hurt web traffic, and reports revealed that coding firms like Windsurf and Replit face severe negative margins despite rapid growth. Also in the mix: Google's Jules coding agent launch, N8N's potential $2.3B valuation as the first pure-play agentic company, Microsoft's talent raids on Google DeepMind, and OpenAI's $500B secondary talks with $1.5M employee bonuses and $1 government-agency deals. Together, these stories show the fierce power struggles and harsh economics shaping AI's next era.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Google DeepMind's Genie 3 stole the show this week with its persistent world generation, outshining OpenAI's underwhelming GPT-5 release. Join Joey and Addy as they break down how Genie 3 creates navigable AI worlds with accurate physics and memory—allowing users to paint a wall, walk away, and return to find their changes intact. Plus: ElevenLabs' music generator, Houdini 21's VFX updates, Lightcraft's new tools for indie filmmakers, and the ongoing ethics debate around Grok Imagine's controversial NSFW capabilities.---The views and opinions expressed in this podcast are the personal views of the hosts and do not necessarily reflect the views or positions of their respective employers or organizations. This show is independently produced by VP Land without the use of any outside company resources, confidential information, or affiliations.

OpenAI's GPT-5 is out & it's the best AI model! For now. Overall, the benchmarks are good-not-great but the vibes are off-the-charts. We dive into the DEEP end. Sam Altman brought the whole team out for a long demo of GPT-5. It's great at coding! It's better at writing! It has new AI personalities! It will not hallucinate nearly as much! Which is more than we can say for the OpenAI graphics department.  Then, Google Deepmind's Genie 3 shows us what the next generation of AI *might* look like with its new world model. Anthropic isn't left out with a 4.1 update to its Claude Opus model. Eleven Labs drops an new AI music model, also great. And finally xAI drops Imagine AI Image & Video generation which, lets just say, can get a little *too* spicy.  And, finally, Unitree's Hunter Stellar Hunter robot scares the hell out of us. NEW MODELS FOR EVERYONE! SCARY ROBOTS AT THE END FOR JUST YOU! #ai #ainews #openai 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 // OpenAI's GPT-5 Announcement Live Stream https://www.youtube.com/live/0Uu_VJeVVfo?si=PzayOarIJqw1AUTA ChatGPT-5 Promo Video https://x.com/OpenAI/status/1953504357821165774 Ethan Mollick “it's very good and it just does stuff…” https://x.com/emollick/status/1953502029126549597 Benchmarks Are…Fine? https://x.com/ArtificialAnlys/status/1953504796549558527 OpenAI Chart Crime https://x.com/EMostaque/status/1953503036501877053 Theo T3-GG's Tweet https://x.com/theo/status/1953514692439347419 New OpenAI ChatGPT Personalities https://x.com/OpenAI/status/1953534071772262511 OpenAI Open Weight Models https://openai.com/open-models/ OSS Minecraft Test https://x.com/adonis_singh/status/1952806201617510759 Google DeepMind's Genie 3: World Model https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/ Good Information Dense hands on from Google Scientist https://x.com/tejasdkulkarni/status/1952737669894574264 Good Knight Example https://x.com/philipjohnball/status/1952767070623437063 Emergent Behavior of Video T-Rex https://x.com/jkbr_ai/status/1953154961988305384 Claude Opus 4.1 https://www.anthropic.com/news/claude-opus-4-1 Eleven Labs Music https://x.com/elevenlabsio/status/1952754097976721737 Musician Using It: https://x.com/elevenlabsio/status/1953424556246384814 Grok Imagine https://techcrunch.com/2025/08/04/grok-imagine-xais-new-ai-image-and-video-generator-lets-you-make-nsfw-content/ Our Grok Imagine Examples https://x.com/AIForHumansShow/status/1952067002488779102 Mesh-Blend 3D AI for Unreal Engine https://x.com/EHuanglu/status/1952017300946911368 Kitten TTS Tiny Model Runs On Devices https://x.com/divamgupta/status/1952762876504187065 Unitree Stellar Hunter Robot (good lord) https://x.com/UnitreeRobotics/status/1952672597558309136 Kwindla's Voice Game Demo https://x.com/kwindla/status/1952947685012717659 Neural Viz Sydney Sweeney Parody https://x.com/NeuralViz/status/1952531202482856053  

Logan Kilpatrick shares how DeepMind's organizational changes helped their resurgance in AI. What needs to happen to reach 100m developers. And why the next six months are more exciting than ever.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs. Links:Google DeepMind  Logan Kilpatrick Logan Kilpatrick podcast NotebookLM Gemini CLI Veo 

What is Ryan Yapping on about todayOpenAI releases new "open" models: OpenAI launched two new open-weight reasoning models, GPT-OSS-120B and GPT-OSS-20B, which can run locally on devices like laptops and even phones.Shifting business model: The new OpenAI models signal a move away from a subscription-based, pay-per-API model to a one-time hardware investment, offering more privacy since data stays on the device.Google DeepMind's "Genie 3": Google DeepMind unveiled Genie 3, a highly advanced world simulator that can generate entire game worlds from natural language prompts, featuring high-fidelity visuals and in-world memory.New coding benchmark: Claude upgraded its Opus model to version 4.1, which is being praised as the new top-tier model for coding and advanced agentic tasks—at least until the next major release from a competitor.Amazon backs "Netflix of AI": Amazon is supporting an AI-generated streaming service that allows users to type prompts to create scenes or full episodes, with Disney and other major studios reportedly in talks to license their IPs.AI for job interviews: A growing number of major companies, including Unilever, Delta, and Vodafone, are using AI to score job interviews by analyzing a candidate's facial expressions, eye movements, and voice for "confidence" and "trustworthiness."Potential privacy concerns: With the new local-run models and AI-driven interview tools, there's a growing conversation about user privacy and data security, especially with the news that OpenAI is providing ChatGPT to the government for just $1.Publicity vs. practical use: While the new OpenAI models are generating buzz, some observers are questioning their real-world utility, suggesting the release may be more of a publicity stunt without clear use cases or examples.

O carioca João Gabriel cresceu com o computador da família e, por isso, não foi difícil optar por Engenharia da Computação na hora de escolher um curso superior. Quando surgiu a oportunidade de fazer parte da graduação na França, ele tentou, depois tentou de novo, acabou conseguindo.Por lá, depois de uma pandemia, de uma fusão entre faculdades e de alguns malabarismos burocráticos, ele acabou ficando. Certo dia, depois de ajudar um amigo com um problema de trabalho, ele recebeu uma oferta de emprego que, apesar de não ter dado certo (de novo, por burocracia), acabou lhe levando à DeepMind em Londres.Neste episódio, o João conta como tem sido acompanhar (e contribuir) de dentro do Google toda a revolução das IAs generativas, além do dia a dia de se morar na terra onde há mais estrangeiros no mundo.Fabrício Carraro, o seu viajante poliglotaJoão Oliveira, Engenheiro Pesquisador de IA na Google Deepmind em Londres, InglaterraLinks:IA Sob Controle com o JoãoScikit LearnLeetCodeDocumentário do AlphaGoEstudo original do GPT de 2017Projeto LookoutConheça a Escola de Inteligência Artificial da Alura, mergulhe com profundidade no universo da IA aplicada a diferentes áreas de atuação, e domine as principais ferramentas que estão moldando o agora.TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões.#7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/Ouvintes do podcast Dev Sem Fronteiras têm 10% de desconto em todos os planos da Alura Língua. Basta ir a https://www.aluralingua.com.br/promocao/devsemfronteiras/e começar a aprender inglês e espanhol hoje mesmo! Produção e conteúdo:Alura Língua Cursos online de Idiomas – https://www.aluralingua.com.br/Alura Cursos online de Tecnologia – https://www.alura.com.br/Edição e sonorização: Rede Gigahertz de Podcasts

Episode Notes In our second convention special we go to New Orleans with our presentation to the National Federation of the Blind. Staff from Service Delivery, Marketing and Sales, and Engineering talk about their roles and this year's updates. Then CEO Troy Otillio talks AI and Aira's involvement with Google Deep Mind's Project Astra.  Sign up to become a trusted tester at https://aira.io/projectastra. Learn more about visual interpreting at https://aira.io. Call our Customer Care Team at 1-800-835-1934 or email support@aira.io. Email us: airacast@aira.io Find out more at https://airacast.pinecast.co This podcast is powered by Pinecast.

OpenAI goes open-weight? In episode 67 of Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Chris Hay and Bruno Aziza to debrief OpenAI's release of gpt-oss, their new open-source models. Next, the model releases continue as Google DeepMind dropped Genie 3. Our experts analyze the various AI model performance. Then, there's been some drama surrounding the pricing of Claude Code. We'll discuss where Anthropic landed and what it means. Finally, Mark Zuckerberg shared a new essay on Personal Superintelligence. Our experts take us through what superintelligence looks like across the major AI players. All that and more on today's episode of Mixture of Experts. 00:00 -- Intro 01:20 -- Gpt-oss 12:26 -- Genie 3 22:12 -- Claude pricing 33:04 -- Zuckerberg on Personal Superintelligence The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updates → https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120 Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligence Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

Google DeepMind has revealed Genie 3, and it's hoped this is the next step to artificial general intelligence for them, as well as further enhancing interactive experiences.A FOI request reveals a phone stolen every 15 minutes a day in Westminster, London. We join Ed Connolly, Chief Commercial Officer at Currys on a new pilot which aims to curb pavement thefts.The US announced on Tuesday that it will cancel funding for the production and research of the mRNA vaccine. The vaccine works by fighting viruses like the flu and covid-19.Plus, scientists reveal that unlike T. rex, giant predatory dinosaurs that walked on two legs had much weaker bites.Also in this episode:-North Korean's posing as remote IT workers to fund sanctioned nuclear regime-How WhatsApp is protecting you from scam messages-Why a zoo in Denmark is asking owners to donate their pets-UK content creator tackles 100 rides in a year despite fear of heights Hosted on Acast. See acast.com/privacy for more information.

Cloudflare calls out Perplexity for evading no-crawl directives, and Windows XP and Clippy are coming for your feet!Starring Jason Howell, Tom Merritt, and Ryan Whitwam.Links to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.

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

Google DeepMind has revealed Genie 3, its latest foundation world model that the AI lab says presents a crucial stepping stone on the path to artificial general intelligence, or human-like intelligence.  Also, enterprise security company SonicWall is urging its customers to disable a core feature of its most recent line-up of firewall devices after security researchers reported an uptick in ransomware incidents targeting SonicWall customers.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

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

Episode Notes In the first of our convention specials we feature our presentation at the American Council of the Blind's 2025 Conference and Convention in Dallas, Texas. Our Learning and Development Team take the spotlight to talk about how they craft training for visual interpreters and what's in store for the future. Then CEO Troy Otillio talks AI and Aira's involvement with Google Deep Mind's Project Astra.  Sign up to become a trusted tester at https://aira.io/projectastra. Learn more about visual interpreting at https://aira.io. Email us: airacast@aira.io Find out more at https://airacast.pinecast.co This podcast is powered by Pinecast.

We talk with Tom Andersson, research engineer at Google Deep Mind about weather and AI.6Support the showSuggest a topic or ask a question: alex@wxguide.comVisit our conference site: www.hurricanecenterlive.comThanks for listening and please share with your friends and co-workers.

Firstly, The Indian Express' Deputy Editor Liz Mathew discusses Vice-President Jagdeep Dhankhar's sudden resignation during the first day of the Monsoon Session.Next, The Indian Express' Karan Mahadik talks about two AI models from OpenAI and Google DeepMind having solved problems from the International Mathematical Olympiad with near-perfect scores. (12:09)And in the end, we talk to The Indian Express' Saman Hussain about a scam involving a fictional country named Westarctica. (21:23)Hosted, produced and written by Shashank BhargavaEdited and Mixed by Suresh Pawar

The vibe gut check is a low 2/10, with significant AI talent poaching among major companies.Delta Airlines is reportedly testing AI for personalized ticket prices, which Ryan thinks is a "horrible idea" and hopes fails. @flavioAdLinkedIn sees 11,000 job applications per minute due to AI resume spam, creating a tough job market.Nodes launched "Anti-Clueless," an AI platform for talent acquisition, deemed a "bad idea."Leading AI researchers from OpenAI, Google DeepMind, Anthropic, and Meta issued a joint warning about AI safety.Google's Gemini shows rapid user growth in both new and returning users.Pine AI's service allows AI to handle phone calls for users, seen as a "good idea" for now.OpenAI and SoftBank are struggling with the "Stargate" project, facing delays and scaled-back plans.Oracle will supply OpenAI with 2 million AI chips for its new data center, costing $30 billion per year.Microsoft and Meta are aggressively poaching top AI researchers from rivals. @scaling01

Join hosts Ashley Oldacre and Christinia Warren as they kick off Season 5 of the People of AI podcast with their first guest, Clement Farabet, VP of Research at Google DeepMind. They discuss the evolution of AI, from early neural networks to the latest advancements in large language models and AI agents. Learn how research and product teams work together to bring developers the best tools to build with and are setting the stage for an agentic future.   Resources: Clement Farabet → https://goo.gle/3UrbHkO  “Attention is all you need” Paper → https://goo.gle/4kTmrmM  Google DeepMind Models →https://goo.gle/4f1doPq  AI Studio → https://goo.gle/4kSvjJu  Agentic systems → https://goo.gle/41aqOmq   Watch more People of AI → https://goo.gle/PAI 

Demis Hassabis is the CEO of Google DeepMind and Nobel Prize winner for his groundbreaking work in protein structure prediction using AI. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep475-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/demis-hassabis-2-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: Demis's X: https://x.com/demishassabis DeepMind's X: https://x.com/GoogleDeepMind DeepMind's Instagram: https://instagram.com/GoogleDeepMind DeepMind's Website: https://deepmind.google/ Gemini's Website: https://gemini.google.com/ Isomorphic Labs: https://isomorphiclabs.com/ The MANIAC (book): https://amzn.to/4lOXJ81 Life Ascending (book): https://amzn.to/3AhUP7z SPONSORS: To support this podcast, check out our sponsors & get discounts: Hampton: Community for high-growth founders and CEOs. Go to https://joinhampton.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.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 (00:29) - Sponsors, Comments, and Reflections (08:40) - Learnable patterns in nature (12:22) - Computation and P vs NP (21:00) - Veo 3 and understanding reality (25:24) - Video games (37:26) - AlphaEvolve (43:27) - AI research (47:51) - Simulating a biological organism (52:34) - Origin of life (58:49) - Path to AGI (1:09:35) - Scaling laws (1:12:51) - Compute (1:15:38) - Future of energy (1:19:34) - Human nature (1:24:28) - Google and the race to AGI (1:42:27) - Competition and AI talent (1:49:01) - Future of programming (1:55:27) - John von Neumann (2:04:41) - p(doom) (2:09:24) - Humanity (2:12:30) - Consciousness and quantum computation (2:18:40) - David Foster Wallace (2:25:54) - Education and research 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

Send us a textWith the development of artificial intelligence on the rise, we are at a crossroads. How will we continue our innovations and regulations of this new technology? But, this is more than a technological question. As my guest, Verity Harding states, “AI needs you.”In this episode, I sit down with Verity Harding to discuss her book, AI Needs You: How We Can Change AI's Future and Save Our Own. How we apply AI is a multi-disciplinary issue. We need everyone, from tech people to teachers, to students, to nurses and doctors, and to everyone else.  Topics:Why AI Needs EveryoneTechnology's Shadow SelfThe Socio-Technical Approach to AI"What books have had an impact on you?""What advice do you have for teenagers?Bio:One of TIME's 100 Most Influential People in AI, Verity Harding is director of the AI & Geopolitics Project at the Bennett Institute for Public Policy at the University of Cambridge and founder of Formation Advisory, a consultancy firm that advises on the future of technology and society. She worked for many years as Global Head of Policy for Google DeepMind and as a political adviser to Britain's deputy prime minister.Socials -Lessons from Interesting People substack: https://taylorbledsoe.substack.com/Website: https://www.aimingforthemoon.com/Instagram: https://www.instagram.com/aiming4moon/Twitter: https://twitter.com/Aiming4Moon

A groundbreaking Harvard study trained AI on 10 million solar systems and found it perfectly predicted orbits but completely failed to understand gravity, raising questions about whether LLMs can develop true world models. While companies pour billions into scaling, Meta's Yann LeCun believes current systems will be "obsolete within 3-5 years" and argues that world models could revolutionize AI by giving machines genuine understanding of physical reality. This explores three competing paths to AGI, why Google DeepMind is hiring world model teams, and whether we're looking at the missing piece for human-level AI.Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Want the ultimate guide to Google's Gemini? Get it here: https://clickhubspot.com/evt Episode 68: How is Google DeepMind pushing the boundaries of AI to tackle drug discovery, robotics, and even autonomous AI agents? Matt Wolfe (https://x.com/mreflow) sits down with DeepMind CEO Sir Demis Hassabis (https://x.com/demishassabis), a neuroscientist, AI pioneer, Nobel laureate, and knight, to peel back the curtain on Google's latest advances—and the ethical challenges that come with them. In this episode, Matt and Demis go deep on what's powering the newest generation of AI agents, how models like AlphaFold and AlphaEvolve are accelerating scientific breakthroughs, and why world models are so important for the future of robotics. Demis shares why he believes AI is poised to reshape society—for better and for worse—and what Google is doing to build public trust in its systems. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Revolutionizing Drug Discovery (03:35) Advanced Model Training Methods (07:06) Accelerating Drug Discovery with AI (11:12) AI's Responsible Role in Society (13:56) AI Revolutionizing Science & Life — Mentions: Sir Demis Hassabis: https://www.linkedin.com/in/demishassabis/ Google DeepMind: https://deepmind.google/ AlphaFold: https://alphafold.ebi.ac.uk/ AlphaEvolve: https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/ Isomorphic Labs: https://www.isomorphiclabs.com/ Android XR glasses: http://blog.google/products/android/android-xr-gemini-glasses-headsets/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In this episode, Jaeden discusses the 2025 International Math Olympiad (IMO) and the participation of OpenAI along with Google DeepMind. While OpenAI seemingly "finished faster" than Google DeepMind because of their early announcement. They actually received their scores and released faster because of some tricky under the table maneuvering. Should this behavior be allowed?Does it undermine the efforts of real human students who take these tests to release info on completion early?Let us know what you think in the comments! Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/aQifR7TKoasChapters00:00 Introduction to the International Math Olympiad02:18 The Competition Between OpenAI & Google06:30 The Drama Unfolds: OpenAI's Early Announcement10:24 Industry Landscape: AI Models & Their Progress

Google DeepMind's advanced Gemini Deep Think AI has reached a milestone by solving five out of six problems at the 2025 International Mathematical Olympiad, achieving gold-medal status. Unlike previous models, Gemini operated entirely in natural language and within official time limits, highlighting substantial progress in AI mathematical reasoning and proof-generation capabilities. -Thinking of buying a … Continue reading Google's Gemini Deep Think AI Achieves Gold Medal at 2025 International Mathematical Olympiad #1834 → The post Google's Gemini Deep Think AI Achieves Gold Medal at 2025 International Mathematical Olympiad #1834 appeared first on Geek News Central.

Group Chat News is back with the hottest stories of the week including Scottie Scheffler crushes the compition again, an Epstein files update, Google Deepmind's alphageometry just did what most humans can't, 58% of students who graduated within the last year are still looking for their first job, there are at least ten employees at OpenAI who have turned down $300 million offers from Mark Zuckerberg, Ethereum Could Hit OVER $15k PER COIN in 2025, how Bessent made the case to Trump against firing fed chair Powell, Nvidia is now worth 4 trillion dollars, In-N-Out Burger Owner Teases Chain's Move Into South plus more

In this special live recording from our Lexington AI Meetup, we sit down with Steve Crossan, a founding member of Google DeepMind's AlphaFold team and former Google product leader. Steve helped launch groundbreaking AI research as part of the team that built AlphaFold, the model that cracked one of biology's grand challenges.AlphaFold can predict a protein's 3D structure using only its amino acid sequence - a task that once took scientists months or years now completed in minutes. With the release of AlphaFold 3, the model now maps not just proteins, but how they interact with DNA, RNA, drugs, and antibodies - a huge leap for drug discovery and synthetic biology.Steve breaks down the origin story of AlphaFold, the future of AI-powered science, and what's next for healthcare, drug development, and beyond. A special thank you to Brent Seales and Randall Stevens for helping us coordinate Steve's talk during his visit in Lexington!If you'd like to stay up to date about upcoming Middle Tech events, subscribe to our newsletter at middletech.beehiiv.com.

In this episode of the AIXR podcast, Charlie Fink, Ted Schilowitz, and Roni Abovitz engage in a deep conversation with Christopher Summerfield, a researcher from Google DeepMind and author of 'These Strange New Minds.' They discuss the latest developments in AI, ethical considerations, the role of AI in society, and the implications of AGI. The conversation also touches on the impact of AI on education, the need for government regulation, and the balance of power in AI development. Summerfield emphasizes the importance of guardrails for AI deployment and the potential benefits of AI in various sectors, while also acknowledging the risks and challenges that come with it.Thank you to our sponsor, Zappar!Don't forget to like, share, and follow for more! Follow us on all socials @TheAIXRPodcasthttps://linktr.ee/thisweekinxr Hosted on Acast. See acast.com/privacy for more information.

Just about every big tech company made splashes in AI this week.↳ Google acqui-hired a company that OpenAI failed to straight up acquire↳Microsoft is investing $4 billion into AI training↳ OpenAI is going after the AI browser space↳ and Meta reportedly spent more than $200 million on one employeeSheeeeesh. It's been a whirlwind. Don't get left behind. We'll help you be the smartest person in AI at your company.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's AI Browsers vs. Google ChromePerplexity's Comet Browser Launch StrategyXAI's Controversial Grok4 Alignment IssuesTeacher Union's AI Training PartnershipMicrosoft Elevate AI Training InitiativeNVIDIA's $4 Trillion Market Cap MilestoneGoogle Acqui-hires Windsurf for DeepMindMeta's $200M Apple AI Talent AcquisitionTimestamps:00:00 "Everyday AI: Weekly News Recap"05:36 Perplexity's Comet: Agentic Browser Shift06:49 AI-Powered Browsing with Perplexity's Comet10:44 "Grok 4: Aligns with Musk's Views"15:37 AI Workshops for Teachers Nationwide18:32 Microsoft's Elevate Program: AI Access & Trust19:51 AI Strategy and Training Partners23:13 Google Hires Wind Surf Executives29:04 AI Updates: Claude's MCP and Google Gemini31:36 AI Developments: Browsers, Training, Market MovesKeywords:Google acquihire, Windsurf, OpenAI browser, Perplexity, agentic browsers, Meta superintelligence, AI news, Google Chrome dominance, ChatGPT users, Chromium, computer vision, AI agents, reservation booking, AI services, market dominance, browser wars, anthropic, Claude, Perplexity's Comet, AI powered web, conversational interface, AI assistant, natural language, OpenAI's GPT, anthropic claw, Grok four, XAI, Elon Musk AI, AI benchmarks, content moderation, Grok controversy, AI alignment, TechCrunch, contentious questions, AI partnerships, educational AI, American Federation of Teachers, Microsoft Copilot, Microsoft funding, ethical AI, Elevate Academy, NVIDIA market cap, AI chips, Google DeepMind, AI coding, Apple AI executive, AI metrics, Anthropic, Microsoft layoffs.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Square keeps up so you don't have to slow down. Get everything you need to run and grow your business—without any long-term commitments. And why wait? Right now, you can get up to $200 off Square hardware at square.com/go/jordan. Run your business smarter with Square. Get started today.

Today's show:Grammarly is acquiring the beloved email app Superhuman! In today's extremely timely episode, @alex sits down with Grammarly CEO Shishir Mehrotra and Superhuman founder Rahul Vohra to unpack why they're merging, how they plan to combine apps and AI agents, and what it means for the future of email and work. PLUS they reveal how Grammarly's 40M+ daily users already rely on email—and why this deal is the key to building the ultimate communication assistant. Don't miss this deep dive into one of the most exciting AI acquisitions yet!#AI #Startups #Productivity #Grammarly #Superhuman #VentureCapital #MergersAndAcquisitionsTimestamps:(0:00) Introduction to the future of robotics and AI regulation(1:11) Introduction of hosts and overview of today's topics(4:19) Cloudflare's new pay per crawl product(09:37) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(10:41) Polymarket segment on Apple's acquisition prospects(14:29) Grammarly and Superhuman CEOs interviews(19:42) Retool - Visit https://www.retool.com/twist and try it out today.(24:09) AI in productivity tools and email agents discussion(29:23) AWS Activate - AWS Activate helps startups bring their ideas to life. Apply to AWS Activate today to learn more. Visit aws.amazon.com/startups/credits(30:46) Grammarly's AI platform and the acquisition of Superhuman(41:16) Introduction of Manu Sharma from Labelbox(41:47) The role of data labeling in AI and Labelbox's data factory(53:44) Labelbox's market position and capital efficiency post-ChatGPT(1:03:00) Advances in humanoid robotics with Jeff Cardenas from Apptronik(1:07:09) Market readiness and capabilities of Apollo 2 robots(1:13:27) Humanoid robotics: Google DeepMind partnership and international competition(1:20:54) US federal support for R&D in robotics(1:22:10) The evolution of humanoid robotics and Apptronik's growth in AustinSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(09:37) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(19:42) Retool - Visit https://www.retool.com/twist and try it out today.(29:23) AWS Activate - AWS Activate helps startups bring their ideas to life. Apply to AWS Activate today to learn more. Visit aws.amazon.com/startups/creditsGreat TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916