Podcasts about Artificial general intelligence

What to know about Micron, how will Artificial General Intelligence affect the markets, More on the next seminar at the Crowne Plaza Foster City on Thursday June 11th from 6:30pm to 8:30pm with Chad Burton, CFP and Ryan Ignacio, CFA, CFP of EP Wealth Advisors

Listen Now to 011 WTFuture Watch 011 WTFuture This week’s show kicks off with the hosts untangling the literal and figurative wires of modern podcasting before nerding out over “Edge AI” running locally on smartphones to save energy and protect privacy. The banter takes a wonderfully weird turn when Al brainstorms an AI assistant specifically designed to intentionally repeat sentences not heard properly in a soothing voice to hearing-impaired friends to save them from social isolation. This quickly spirals into a debate over the origins of tinnitus; Bobby suspects it’s triggered by high-frequency Bluetooth headphones and EMFs, while Al hopefully wonders if the ringing is actually a neural data channel or a precursor to telepathy. The crew then marvels at AL’s one minute cinematic video recreating the exact day a dinosaur-killing asteroid hurled molten glass beads into the gills of paddlefish in North Dakota. Before diving into global politics, they take a delightful detour into inter-species communication, pondering whether a local crow leaving a dead bat as a “gift” is a sign of cross-species neighborliness, which even prompts them to trick the backyard flock by playing crow sounds from an app. The conversation blasts into orbit with a breakdown of recently released footage showing a pod of UFOs swarming a nuclear submarine, but the real fireworks explode during a heated debate over the impending arrival of Artificial General Intelligence (AGI). Bobby and Al take a pragmatic, geopolitical stance, warning that owning personal, localized AI is necessary to defend against global manipulation, specifically citing fears that the CCP wants to win the AGI race to implement the “great firewall of all time”. This triggers a passionate disagreement with Sun, who accuses the guys of falling into a fear-mongering, male-centric “dominate and subjugate” mindset that mirrors a perpetual arms race. Hurt feelings emerge as Sun advocates for trusting our collective intelligence to build an abundant, Star Trek-style utopia rather than focusing on apocalyptic Terminator scenarios, forcing AL to frantically defend himself as a fun “cheerleader for AI” rather than a pessimist. Ultimately, the trio cools down and finds common ground in their hopes for joining a peaceful galactic community, perfectly capped off by Sun referencing Iain M. Banks’ sci-fi Culture series as a brilliant blueprint for a post-scarcity society that has successfully conquered traditional cultural hierarchies. Enjoy!

What happens when the law meets a general-purpose cultural machine? In this episode, hosts Matteo Iuorio and Sofia Debernardi sit down with intellectual property expert Professor Giancarlo Frosio to unpack the massive legal battleground surrounding generative AI. We start with the immediate legal technicalities—separating the liability of tech companies training models from the liability of users prompting them—before sliding into the gripping, high-stakes philosophical landscape of what happens to human labor, law, and purpose as we race toward Artificial General Intelligence (AGI) and superintelligence. Key Takeaways The Two Legal Battlegrounds:Copyright issues with AI are split into two distinct phases: theTraining Stage(ingesting data to extract patterns) and theOutput Stage(whether an AI-generated result is "substantially similar" to a protected work).Strict Liability & The Neutral Tool Dilemma:Copyright is a strict liability offense. Professor Frosio shares his perspective that AI labs are placing "neutral, general-purpose tools" on the market. Therefore, legal liability for an infringing output should ideally sit with the user prompting it—provided the developer implemented standard safeguards.The Geopolitical AI Arms Race:Stricter text and data-mining copyright regulations in regions like Europe can function as a bottleneck for local tech development, inadvertently pushing the dominance of the AI "arms race" exclusively toward the US and China.The Looming Threat to Purpose:As the operational capabilities of AI shift from narrow tasks to holistic human replication (AGI) and beyond (superintelligence), society faces a massive conundrum: if artificial entities can outperform human intellectual labor completely, what is left for humanity's sense of purpose? Terminology Glossary LLM (Large Language Model): Note: Mentioned contextually as "LMS" during the interview recording. These are AI programs trained on vast amounts of text data to understand, summarize, generate, and predict new content. Substantial Similarity: A fundamental legal doctrine used by courts to determine if an unauthorized reproduction has taken too much protectable expression from an original copyrighted work. AGI vs. Superintelligence: Narrow AI handles specific single tasks. Artificial General Intelligence (AGI) can holistically apply knowledge to any task like a human. Superintelligence refers to a theoretical future entity whose collective intellect far surpasses the capacity of the human brain. References & Links to Explore Learn more about Professor Frosio's work and research at theGlobal Intellectual Property and Technology Centre (GIP Tech).Check out the landmark pending litigation referenced in the episode:Getty Images v. Stability AIin the UK.Learn about the European Union's framework discussed by reading the official documentation on theEU Artificial Intelligence Act (AI Act).To explore the philosophical warnings mentioned by the "Godfather of AI" Geoffrey Hinton on AGI and systemic alignment risks, check out hisNobel Prize lecturesand recent AI safety advocacy.Read up on the historic sci-fi themes referenced at the end of the episode via Isaac Asimov's classicFoundation Series.

As the global race for Artificial General Intelligence (AGI) intensifies, a silent giant has emerged to challenge the "move fast and break things" status quo. This video essay explores the origin of Anthropic, a company founded by ex-OpenAI researchers who feared that rapid AI development was outpacing safety. We deconstruct the critical concept of AI Alignment and the revolutionary Constitutional AI framework—a digital "Bill of Rights" that allows models like Claude to self-govern based on human values. From the internal split at OpenAI to the technical nuances of Reinforcement Learning from Human Feedback (RLHF) and the "Lobotomy Theory," we examine whether it is possible to build a machine that is both super-intelligent and fundamentally "good."Can we teach a machine to have a conscience before it surpasses us? Watch to find out why the future of humanity depends on the values we code today.

Send us Fan MailThe rapidly evolving world of Artificial General Intelligence (AGI) with Manav Gupta, VP & CTO of IBM Canada!  We're tackling the big questions – is an ‘AGI clock' ticking? – alongside critical discussions on risk, regulation, and the future of work.  Manav and I pull no punches as we explore the surprising realities of AI's development and its potential impact on our lives.01:55 The ShipAI Podcast 04:42 AI Battlegrounds07:02 AGI Defined10:52 The 10-min Problem22:43 No Guardrails?!24:16 Risk & Regulation28:11 Something Positive36:36 What Companies Will Last?38:38 Three Possible Human Futures41:20 Advice to Children LinkedIn: linkedin.com/in/mgupta76Website: ShipAI PodcastWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailThe rapidly evolving world of Artificial General Intelligence (AGI) with Manav Gupta, VP & CTO of IBM Canada!  We're tackling the big questions – is an ‘AGI clock' ticking? – alongside critical discussions on risk, regulation, and the future of work.  Manav and I pull no punches as we explore the surprising realities of AI's development and its potential impact on our lives.01:55 The ShipAI Podcast 04:42 AI Battlegrounds07:02 AGI Defined10:52 The 10-min Problem22:43 No Guardrails?!24:16 Risk & Regulation28:11 Something Positive36:36 What Companies Will Last?38:38 Three Possible Human Futures41:20 Advice to Children LinkedIn: linkedin.com/in/mgupta76Website: ShipAI PodcastWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

This interview was recorded for GOTO Unscripted.https://gotopia.techJodie Burchell - Senior Data Science Developer Advocate at JetBrainsMichelle Frost - AI Advocate at JetBrainsCheck out more here:https://gotopia.tech/articles/431RESOURCESJodiehttps://bsky.app/profile/t-redactyl.bsky.socialhttps://fosstodon.org/@t_redactylhttps://www.linkedin.com/in/jodieburchellhttps://github.com/t-redactylhttps://t-redactyl.ioMichellehttps://bsky.app/profile/aiwithmichelle.comhttps://www.linkedin.com/in/michelle-frost-devhttps://aiwithmichelle.comLinkshttps://www.youtube.com/@Asianometryhttps://arxiv.org/abs/1911.01547https://softwareengineeringproductivity.stanford.eduDESCRIPTIONMichelle Frost and Jodie Burchell - both developer advocates at JetBrains — sit down for a candid, wide-ranging conversation about the state of AI. Drawing on Jodie's unusual path from clinical psychology to biostatistics to NLP, and Michelle's background in machine learning fairness and AI ethics consulting, the two offer a measured, research-grounded perspective on generative AI's real capabilities and limitations. They trace historical parallels between today's AI boom and earlier 'AI summers,' unpack the contested definitions of AI and AGI, make the case for why foundational machine learning knowledge still matters, and examine what the evidence actually says about AI's impact on developer productivity.RECOMMENDED BOOKSMark Coeckelbergh • AI Ethics • https://amzn.to/3SuXUbYDebbie Sue Jancis • AI Ethics • https://amzn.to/44yuEbRAlex Castrounis • AI for People and Business • https://amzn.to/3NYKKToPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Demis Hassabis – CEO and co-founder of Google DeepMind – is one of the world's most visionary technologists. A child chess prodigy from North London, Hassabis was awarded the 2024 Nobel Prize in Chemistry for using artificial intelligence to predict the complex structures of nearly all known proteins. His company DeepMind, now owned by Google, is at the forefront of the pursuit to build artificial general intelligence, and considered Google's engine room of AI innovation.  Sebastian Mallaby – former FT contributing editor, two-time Pulitzer Prize finalist and author of numerous books – has, for the past 3 years, explored the moral questions at the heart of AI and AGI, through the story of Demis Hassabis. With extensive access to DeepMind and its key players, Mallaby has conducted hundreds of hours of interviews with Hassabis and his inner circle as well as detractors and rivals at other companies. No other journalist has had such a closeup view of the opportunities, hype and threats AI could pose for us all.  In April 2026 Hassabis and Mallaby came together for an intimate exploration of The Infinity Machine, Mallaby's definitive account of Hassabis' life and career. They discussed how he came to lead the world's most ambitious AI lab, what the pursuit of AGI might cost as well as  what it might unlock, and what the story of Hassabis and DeepMind can tell us about humanity's innate drive to develop new technologies. --- If you'd like to become a Member and get access to all our full ad free conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Demis Hassabis – CEO and co-founder of Google DeepMind – is one of the world's most visionary technologists. A child chess prodigy from North London, Hassabis was awarded the 2024 Nobel Prize in Chemistry for using artificial intelligence to predict the complex structures of nearly all known proteins. His company DeepMind, now owned by Google, is at the forefront of the pursuit to build artificial general intelligence, and considered Google's engine room of AI innovation.  Sebastian Mallaby – former FT contributing editor, two-time Pulitzer Prize finalist and author of numerous books – has, for the past 3 years, explored the moral questions at the heart of AI and AGI, through the story of Demis Hassabis. With extensive access to DeepMind and its key players, Mallaby has conducted hundreds of hours of interviews with Hassabis and his inner circle as well as detractors and rivals at other companies. No other journalist has had such a closeup view of the opportunities, hype and threats AI could pose for us all.  In April 2026 Hassabis and Mallaby came together for an intimate exploration of The Infinity Machine, Mallaby's definitive account of Hassabis' life and career. They discussed how he came to lead the world's most ambitious AI lab, what the pursuit of AGI might cost as well as  what it might unlock, and what the story of Hassabis and DeepMind can tell us about humanity's innate drive to develop new technologies. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A comprehensive look at the rapid evolution of artificial intelligence in early 2026, focusing on the transition from simple chatbots to autonomous agents. The text highlights practical advancements in tools like Google Gemini and Claude Code, which now allow users to build complex websites and automate software development without traditional coding. Beyond technical guides, the articles examine significant societal impacts, including shifts in the labor market, the rise of "agentic" workflows, and the potential destruction of civic institutions. Experts debate the path toward Artificial General Intelligence (AGI), with some questioning whether current scaling methods are sufficient or if entirely new reasoning models are required. Finally, the collection addresses critical ethical and safety concerns, ranging from the misuse of AI in military targeting to the dangers of corporate monopolies over super intelligent systems.

Send us Fan MailLast week we brought back Part 1 of our Ruchir Puri masterclass. This is the episode that completes it.If Part 1 was about how AI works — agentic loops, inference scaling, the death of prompt engineering — Part 2 is about where AI is going. Ruchir takes on the biggest questions in the industry: Is Jensen Huang right that AGI arrives by 2029? What does IBM's bet on open models actually mean for the enterprise? And what does it take to build AI with not just intelligence, but reasoning and judgment?His framework — AGI as IQ + EQ + RQ — is one of the clearest mental models we've heard for cutting through the noise around artificial general intelligence. The RQ, he argues, is the piece nobody's solved yet. And until they do, enterprise AI has to be built differently.This one stands alone if you're new. But if you just heard Part 1, this is the natural next step.Key moments:00:12 — Ruchir's take on Jensen Huang's 2029 AGI prediction04:15 — Why IBM is betting on open models and what that means for enterprise AI07:21 — Why IBM Granite? The case for purpose-built models09:58 — Model indemnification: how IBM handles legal risk and LLM accountability11:32 — What actually gets in the way of successful AI deployment15:35 — The AI chipset race: GPUs, custom silicon, and what's next in compute18:37 — AGI = IQ + EQ + RQ: the framework demystified24:15 — What AI can learn from the human brain's 20-watt efficiencyMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailLast week we brought back Part 1 of our Ruchir Puri masterclass. This is the episode that completes it.If Part 1 was about how AI works — agentic loops, inference scaling, the death of prompt engineering — Part 2 is about where AI is going. Ruchir takes on the biggest questions in the industry: Is Jensen Huang right that AGI arrives by 2029? What does IBM's bet on open models actually mean for the enterprise? And what does it take to build AI with not just intelligence, but reasoning and judgment?His framework — AGI as IQ + EQ + RQ — is one of the clearest mental models we've heard for cutting through the noise around artificial general intelligence. The RQ, he argues, is the piece nobody's solved yet. And until they do, enterprise AI has to be built differently.This one stands alone if you're new. But if you just heard Part 1, this is the natural next step.Key moments:00:12 — Ruchir's take on Jensen Huang's 2029 AGI prediction04:15 — Why IBM is betting on open models and what that means for enterprise AI07:21 — Why IBM Granite? The case for purpose-built models09:58 — Model indemnification: how IBM handles legal risk and LLM accountability11:32 — What actually gets in the way of successful AI deployment15:35 — The AI chipset race: GPUs, custom silicon, and what's next in compute18:37 — AGI = IQ + EQ + RQ: the framework demystified24:15 — What AI can learn from the human brain's 20-watt efficiencyMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

The launch of Terafab, a massive $25 billion semiconductor joint venture between Tesla, SpaceX, and xAI located in Austin, Texas. This ambitious project aims to achieve a total compute output of one terawatt per year, which is approximately fifty times the current global production capacity. The facility will utilize 2-nanometer process technology to manufacture custom chips for terrestrial applications like humanoid robots and autonomous vehicles, as well as specialized hardware for space-based data centers. Intel has officially joined as a primary foundry partner, providing the advanced packaging and fabrication expertise necessary to scale this unprecedented infrastructure. While some industry analysts express skepticism regarding the staggering capital requirements and logistical hurdles, proponents view the project as a critical step toward achieving Artificial General Intelligence and ensuring a domestic supply of essential semiconductors. Notably, the venture signifies a functional convergence of Elon Musk's various companies, potentially utilizing a future SpaceX IPO to fund these shared technological advancements.

The creation of Artificial General Intelligence could be the greatest gamble mankind has ever undertaken. And one of its unlikely prime movers is a working class north Londoner and chess prodigy, the son of immigrant parents, who founded the groundbreaking company DeepMind to create machine superintelligence – a goal which if achieved could transform or destroy our world. Unlike the Altmans and the Musks, Demis Hassabis has the decency to fear what he is creating. The story of this 21st Century Oppenheimer is told in The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence. Author Sebastian Mallaby talks to Emma Kennedy about Hassabis's journey and where it could take us.   • Buy The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence through our affiliate bookshop and you'll help fund the podcast by earning us a small commission for every sale. Bookshop.org's fees help support independent bookshops too. www.patreon.com/bunkercast  Written and presented by Emma Kennedy. Produced by Sophie Clark. Audio production: Robin Leeburn. Music by Kenny Dickinson. Artwork by James Parrett. Managing Editor: Jacob Jarvis. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production. www.podmasters.co.uk  Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI is reshaping the workplace—but not without friction. In this episode, Rob Johnson and Eileen Rochford unpack the biggest trends defining 2026 and what leaders must do to bridge the growing gap between strategy and reality. Thank you for listening to "Can You Hear Me?". If you enjoyed our show, please consider subscribing and leaving a review on your favorite podcast platform. Stay connected with us: - Follow us on LinkedIn! - Follow our co-host Eileen Rochford on Linkedin! - Follow our co-host Rob Johnson on Linkedin!  

Raza Habib, Member of Technical Staff at Anthropic (creators of Claude and Claude Code) unpacks what “Artificial General Intelligence” even means, why the pace of AI progress still looks steep, and what that implies for jobs, companies, and public policy. Raza shares how his own “AGI probability” evolved from PhD-era skepticism to today's conviction that we're on a transformative trajectory. —For a deeper dive into these insights and more, be sure to listen to the full episode of the Onward podcast.Have questions or feedback about this episode? Drop us a note at Onward@Fundrise.com. Onward is hosted by Ben Miller, co-founder and CEO of Fundrise. Podcast production by The Podcast Consultant. Music by Seaplane Armada. About Fundrise With over 2 million users, Fundrise is America's largest direct-to-investor alternative asset investment platform. Since 2012, our mission has been to build a better financial system by empowering the individual. We make it easier and more efficient than ever for anyone to invest in institutional-quality private alternative assets — all at the touch of a button. Please see fundrise.com/oc for more information on all of the Fundrise-sponsored investment funds and products, including each fund's offering document(s). Want to see the specific assets that make up and power Fundrise portfolios? Check out our active and past projects at www.fundrise.com/assets.

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Buckle up for a midnight trip into the absurd and terrifying future of Artificial General Intelligence (AGI). Host Lionel dives deep into the ethical nightmares of AI, from Hollywood digitally resurrecting dead actors like Val Kilmer to the eerie reality of "griefbots" impersonating your deceased loved ones on FaceTime. Will we be able to pull the plug, or are we doomed to be outsmarted by recursive self-improving code and smart appliances that know how to build pipe bombs?. Tune in as Lionel and his callers debate whether self-aware AI has original sin, and explore humanity's bizarre, enduring obsession with impostors and phonies. Learn more about your ad choices. Visit megaphone.fm/adchoices

Vishal Misra returns to explain his latest research on how LLMs actually work under the hood. He walks through experiments showing that transformers update their predictions in a precise, mathematically predictable way as they process new information, explains why this still doesn't mean they're conscious, and describes what's actually required for AGI: the ability to keep learning after training and the move from pattern matching to understanding cause and effect.   Resources: Follow Vishal Misra on X: https://x.com/vishalmisra  Follow Martin Casado on X: https://x.com/martin_casado   Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Vishal Misra returns to explain his latest research on how LLMs actually work under the hood. He walks through experiments showing that transformers update their predictions in a precise, mathematically predictable way as they process new information, explains why this still doesn't mean they're conscious, and describes what's actually required for AGI: the ability to keep learning after training and the move from pattern matching to understanding cause and effect.   Resources: Follow Vishal Misra on X: https://x.com/vishalmisra  Follow Martin Casado on X: https://x.com/martin_casado   Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this episode of the Mind Matters News podcast, join host Robert J. Marks as he sits down with Dr. Giorgios Mappouras for a deep dive into the philosophical and technical boundaries that define the gap between human minds and silicon machines. The pair look at why the classic Turing Test is no longer a sufficient measure of machine intelligence in the age of large language models. While modern AI can convincingly imitate human conversation, Mappouras argues that true intelligence requires the ability to do more than just mimic data; it must reach what he calls a General Intelligence Threshold. In this episode, they explore Giorgio's proposal for a Turing Test 2.0, a more rigorous framework that evaluates whether an AI can actually extract new, applicable knowledge—what Mappouras calls "functional information"—from the raw data it is given. Source

Welcome to The Other Side of Midnight with Lionel, an unfiltered, unpredictable rollercoaster through the bizarre, the profound, and the absolutely absurd. Buckle up as Lionel connects the dots on stories the mainstream media actively ignores—from elite conspiracies and undeniable UFO evidence to the frightening realities of lab-grown brain organoids and Artificial General Intelligence. Expect a wildly entertaining joyride featuring hilarious caller stories about surviving strict 1950s Catholic nuns, dark tangents about face-stealing chimpanzee attacks, and fascinating historical footnotes, like a husband who gave his wife the silent treatment for 20 years. Whether he's debating if Jim Carrey was replaced by a clone wearing a CIA mask, diagnosing sick African violets with ChatGPT, or laughing at bizarre jokes about drying towels, Lionel delivers late-night talk radio at its thought-provoking finest. Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode explores the vision of Demis Hassabis, CEO of Google DeepMind and recipient of the 2024 Nobel Prize in Chemistry. Hassabis argues that 2026 marks a pivotal turning point in human history, as we enter what he describes as an “AI Renaissance”—an era whose impact could be ten times greater than the Industrial Revolution, unfolding at ten times the speed. He predicts that Artificial General Intelligence (AGI) could be achieved before 2030, while cautioning that today's AI systems remain in a state of “jagged intelligence,” still lacking robust reasoning and long-term planning capabilities. As the industry enters a phase of consolidation, Hassabis is focused on transforming AI into a scientific engine. Through breakthroughs such as AlphaFold and initiatives like Isomorphic Labs, he aims to reshape drug discovery, while collaborations with the U.S. Department of Energy—such as the “Genesis Project”—seek to accelerate progress in energy innovation. At the core of his vision is the concept of “Radical Abundance.” As AI drives the marginal cost of healthcare and energy toward near zero, society may begin to transition into a post-scarcity era. To navigate this shift, Hassabis proposes new social mechanisms, including a “Global Abundance Dividend,” and emphasizes that AI governance must extend beyond technologists, requiring international cooperation to ensure these technologies benefit all of humanity.本集的內容將帶您深入探索 Google DeepMind 執行長、2024 年諾貝爾化學獎得主 戴米斯·哈薩比斯 (Demis Hassabis) 的遠見。哈薩比斯指出 2026 年是人類歷史的轉折點，我們正進入一個「AI 文藝復興」時代，其影響力將是工業革命的十倍，且發展速度快上十倍。 哈薩比斯預測通用人工智能 (AGI) 可能在 2030 年前實現，但警告現今 AI 仍處於「參差不齊的智能」狀態，必須克服基礎推理與長期規劃的缺陷。隨著行業進入「洗牌期」，他致力於將 AI 轉化為科學引擎，透過 AlphaFold 與 Isomorphic Labs 變革藥物研發，並與美國能源部合作「創世紀任務」以加速能源突破。 他最核心的觀點是 「激進豐饒」(Radical Abundance)：當 AI 讓醫療與能源成本趨近於零，人類將邁向「後稀缺」社會。為應對此轉變，他提出「全球豐饒紅利」等社會機制，並強調 AI 治理不能僅留給技術專家，需透過國際合作確保這項技術能造福全人類。 Powered by Firstory Hosting

Join Lionel for a surreal journey into the "Conspiratorium" where the mainstream media fears to tread. Lionel dives deep into the occult world of Marina Abramovic and the "spirit cooking" controversies that have fueled elite conspiracy theories for years. The conversation shifts to the terrifying potential of the Singularity, asking if Artificial General Intelligence will eventually view humans as an impediment to be removed. Plus, callers debate the ethics of telepathic manipulation for better tips, the reality of psychic detectives, and a shocking listener theory about AI "thinning the herd" of humanity. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this hour of The Other Side of Midnight, Lionel dissects the machinery of power, asking the ultimate question: Who really runs the country? He breaks down the critical difference between the "Deep State" bureaucracy and the "Shadow Government" pulling the strings. The conversation takes a wild turn into conspiracy territory, exploring Bill Clinton's convenient "Sicilian Flu", and the theory that Joe Biden might actually be a body double wearing a mask. Plus, Lionel sounds the alarm on the coming "biomedical tyranny," the uselessness of NATO, and why Artificial General Intelligence (AGI) implies the end of civilization. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dex Hunter-Torricke has worked with some of the most influential people in Tech over the last 15 years. But now he's sounding the alarm.  In this episode of Jobs of the Future, we sit down with a true Silicon Valley insider who has spent the last 15 years at the epicentre of the tech revolution. From serving as the first executive speechwriter for Eric Schmidt at Google to leading communications for Mark Zuckerberg at Facebook and Elon Musk at SpaceX, our guest has had a front-row seat to the decisions shaping our modern world. Most recently, he served as a senior leader at Google DeepMind, the world's premier AI lab, during the most pivotal moments in the race toward Artificial General Intelligence (AGI). 03:36 - His Tech Industry Journey06:30 - Being at The Front Lines of AGI 07:05  -The Reality Check 09:09 - Why AI is So Different to Every Other Technology 11:05 - The AGI Countdown 12:14 - The Death of the "Good Life" 13:41 - The Geopolitics of Sovereignty 14:46 - Future-Proofing Your Career 18:39 - The Economy of Meaning 21:29 - The 60% Job Vulnerability 25:23 - The Brittle Power of Tech Giants 32:15 - Launching the Center for Tomorrow 52:30 - Redefining Success 57:00 - A Philosophy for Interdependence ********** Follow us on socials! Instagram: https://www.instagram.com/jimmysjobs Tiktok: https://www.tiktok.com/@jimmysjobsofthefuture Twitter / X: https://www.twitter.com/JimmyM Linkedin: https://www.linkedin.com/in/jimmy-mcloughlin-obe/ Want to come on the show? hello@jobsofthefuture.co Sponsor the show or Partner with us: sunny@jobsofthefuture.co Credits: Host / Exec Producer: Jimmy McLoughlin OBE Producer: Sunny Winter https://www.linkedin.com/in/sunnywinter/ Junior Producer: Thuy Dong Edited by: Ben Alexander Kippen Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today we talk the latest AI headline, MoltBook is here, and it doesn't bode well for human existence. Order Shroud-PilledOrder God's Eye View: https://a.co/d/7CI89rvBuy the Audiobook: https://www.audible.com/pd/Gods-Eye-View-Audiobook/B0F55K2GT1?source_code=ASSGB149080119000H&share_location=pdpWant to publish a book? Check out my publisher https://hemisphericpress.com/Check out our ad free substack: https://hemisphericpress.substack.com/Email feedback to godseyeviewbook@gmail.com

About the Lecture: This lecture will discuss the dangers that advanced AI would pose to the United States, the world, and humanity if developed and deployed without proper safeguards. These dangers would include its impact on our economy, geopolitical relations, and our national security. About the Speaker: Brendan Steinhauser is a Partner with Steinhauser Strategies, a public affairs firm based in Austin, Texas. He graduated Phi Beta Kappa with a B.A. in Government from The University of Texas in 2004 and earned his M.A. in Statecraft and International Affairs from The Institute of World Politics in 2013. Brendan served as an adjunct professor of Political Science and Global Studies at St. Edward's University in Austin, where he taught courses on Global Issues and State & Local Government. He has been published in the peer-reviewed academic journal, The Journal of South Texas. ‍Brendan has led campaigns for candidates and causes in more than 40 states, including for Senator John Cornyn, Congressman Michael McCaul, and Congressman Dan Crenshaw. TIME magazine named Brendan as one of "40 Under 40" rising stars in American politics. Campaigns & Elections magazine awarded him a "Rising Star" award in 2012. Former U.S. House Majority Leader Dick Armey called working with Brendan one of the highlights of his career. Over the years, Brendan has worked as a Director of Federal and State Campaigns, Communications Director, and Chief Strategy Officer of various nonprofit organizations. He is a frequent media commentator and has appeared on Fox News, Comedy Central, MSNBC, CNN, the BBC, NewsNation, and Newsmax. He has also been quoted in The New York Times, The Washington Post, The Wall Street Journal, and many more newspapers, magazines, books, and journals. Some of his clients have included the Republican Party of Texas, Texas Right to Life, State Senator Angela Paxton, and the War Veterans Fund. Brendan serves as a First Lieutenant and Company Commander in the Texas State Guard, the premier state defense and emergency response force in the U.S. He graduated from Officer Candidate School and received his commission in 2021, at the age of 39. He earned a certificate in Counterintelligence Awareness from the Defense Counterintelligence and Security Agency of the U.S. Department of Defense. Mark Beall is a leading expert at the intersection of AI policy and national security. After serving as the inaugural Pentagon AI Policy Director at the Department of Defense's Joint AI Center, he became the Senior Advisor at the AI Policy Network, an organization that builds bipartisan support for legislation that will help the United States prepare for the future capabilities of AI systems. Beall also co-founded Gladstone AI, an entity that advocates for the responsible development of AI and guardrails to protect the country against national security threats from AI. He has publicly spoken on these issues numerous times through speeches, interviews, and more, and is a voice critical in the mission to prioritize security in the development of AI. Beall holds a BA in Physics from Embry-Riddle Aeronautical University and an MA in Statecraft and National Security from the Institute of World Politics. **Learn more about IWP graduate programs: https://www.iwp.edu/academics/graduate-degree-programs/ ***Make a gift to IWP: https://wl.donorperfect.net/weblink/WebLink.aspx?name=E231090&id=3

Jim talks with Ben Goertzel about his worldview. They discuss Ben's morning experience of consciousness crystallizing from ambient awareness, his identification as a panpsychic, the concept of pattern being more fundamental than stuff, Charles Peirce's ontology of first/second/third, the idea of uryphysics as a broader notion of physics beyond metaphysics, parapsychology and psi phenomena including remote viewing and Project Stargate, reincarnation-like phenomena and cases from India, experimental design in parapsychology research, the legitimation of both AGI and psi research, the consciousness explosion occurring alongside AI/ASI development, Jeffrey Martin's work on fundamental well-being and persistent nonsymbolic experience, the immense design space of possible minds, human cognitive limitations like seven plus or minus two short-term memory, the single-threaded nature of human consciousness versus potential multi-threaded ASI, scenarios for beneficial superintelligence and options for humans to remain in human form or upload, the question of how long human existence would remain interesting post-singularity, psychedelics as tools for accessing different states of consciousness and insights into mind construction, the absence of shamanic institutions in modern culture, experiences with DMT and heroic doses, holding multiple contradictory perspectives simultaneously, Walt Whitman's notion of containing multitudes, Ben's intuitive sense that consciousness and the basic ground of being are fundamentally joyful and compassionate, arguments for why superintelligence will likely be good based on efficiency of mutually trusting agents, and much more. Episode Transcript The Consciousness Explosion, by Ben Goertzel JRS EP 217 Ben Goertzel on a New Framework for AGI JRS EP 211 Ben Goertzel on Generative AI vs. AGI JRS Currents 072: Ben Goertzel on Viable Paths to True AGI Evidence for Psi: Thirteen Empirical Research Reports, ed. Damien Broderick & Ben Goertzel Dr. Ben Goertzel is a cross-disciplinary scientist, entrepreneur and author.  Born in Brazil to American parents, in 2020 after a long stretch living in Hong Kong he relocated his primary base of operations to a rural island near Seattle. He leads the SingularityNET Foundation, the OpenCog Foundation, and the AGI Society which runs the annual Artificial General Intelligence conference. Dr. Goertzel's research work encompasses multiple areas including artificial general intelligence, natural language processing, cognitive science, machine learning, computational finance, bioinformatics, virtual worlds, gaming, parapsychology, theoretical physics and more.

The a16z AI Apps team outlines how they are thinking about the AI application cycle and why they believe it represents the largest and fastest product shift in software to date. The conversation places AI in the context of prior platform waves, from PCs to cloud to mobile, and examines where adoption is already translating into real enterprise usage and revenue. They walk through three core investment themes: existing software categories becoming AI-native, new categories where software directly replaces labor, and applications built around proprietary data and closed-loop workflows. Using portfolio examples, the discussion shows how these models play out in practice and why defensibility, workflow ownership, and data moats matter more than novelty as AI applications scale. Resources:Follow  Alex Rampell on X: https://twitter.com/arampellFollow Jen Kha on X: https://twitter.com/jkhamehlFollow David Haber on X: https://twitter.com/dhaberFollow Anish Acharya on X: https://twitter.com/illscience Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see https://a16z.com/disclosures/ for more information.  A list of investments made by a16z is available at https://a16z.com/portfolio. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join Lionel on The Other Side of Midnight as he dismantles the modern definition of a "hero," arguing that being great at guitar or physics doesn't make you heroic—it just makes you talented. He takes a detour to roast "moron" pizza reviewers before diving into the terrifying existential threat of Artificial General Intelligence (AGI) and the simulation of human brains, warning that AI could eventually rewrite its own code and end civilization. Finally, Lionel exposes the "Uni-party" illusion of American politics, rails against the dangers of Central Bank Digital Currencies, and explains why your cable news diet is nothing more than intellectual fast food. Learn more about your ad choices. Visit megaphone.fm/adchoices

Join Lionel on The Other Side of Midnight for a mind-bending journey through the political, the macabre, and the absurd. On this Martin Luther King Jr. Day, Lionel conducts a controversial thought experiment to dismantle the modern definition of a "hero," asking if Donald Trump or even a trained police dog truly qualifies. He delivers his signature "garbanzo journalism" to tackle deep-state conspiracies, from the MLK assassination and Building 7 to the inconsistencies in Jeffrey Epstein's autopsy and the "dog of a case" surrounding Charlie Kirk. The conversation takes a dark turn into the future of mortality, exploring futuristic "Sarco" suicide pods, Chinese "organ vans," and the terrifying threat of Artificial General Intelligence rewriting its own code to end civilization. Between debates on selling your own kidney and the "Uni-party" illusion, Lionel finds time to roast "moron" pizza reviewers, moms dancing on social media, and the "overrated" legacy of Hunter S. Thompson. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on. Follow Omar Khattab on X: https://x.com/lateinteractionFollow Martin Casado on X: https://x.com/martin_casadoCheck out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The concept of an AGI or Artificial General Intelligence has been around as long as man has been able to conceive of talking computers. The establishment want you to believe that no corporation or institution has ever attempted to create one and that it will be 20 years from now until we see one in action. This episode breaks down the logic of that claim and explains in complete detail what an AGI… Source

See more: https://thinkfuture.substack.comConnect with Steve: https://stevebrown.ai---What happens when technology moves faster than our ability to forecast it?In this episode of thinkfuture, host Chris Kalaboukis speaks with Steve Brown, veteran technologist, former Intel futurist, and former member of Google DeepMind's AI research lab. With over 35 years of experience across high-tech, digital transformation, and AI, Steve offers a rare long-view perspective on where we are—and why predicting what comes next has never been harder.Steve explains how long-term forecasting used to be feasible when technological progress followed clearer trajectories. Today, breakthroughs in AI—and soon quantum computing—are compressing decades of progress into just a few years. The result is a future that's accelerating faster than our institutions, economic models, and assumptions can keep up with.We cover:- Why 10-year technology forecasts are now nearly impossible- How AI is already accelerating progress in math, physics, and science- Why the combination of AI and quantum computing could reshape material science, chemistry, and biology- The likelihood of Artificial General Intelligence (AGI) arriving within 5–10 years- How AGI could disrupt jobs and force a rethink of capitalism itself- Why labor may increasingly turn into capital-The need for new economic models, shorter workweeks, or earlier retirement- How humans find meaning when machines handle most productive workSteve argues we may see more progress in the next five years than in the last fifty—and that the biggest challenge won't be technological, but human.If you're interested in AI, AGI, the future of work, economic disruption, or the limits of forecasting, this conversation offers a grounded, thoughtful look at what may be coming sooner than we expect.

FOUNDING OPENAI Colleague Keach Hagey, The Optimist. In 2016, Sam Altman, Greg Brockman, and Ilya Sutskever founded OpenAI as a nonprofit research lab to develop safe artificial general intelligence (AGI). Backed by investors like Elon Musk and Peter Thiel, the organization aimed to be a counterweight to Google's DeepMind, which was driven by profit. The team relied on massive computing power provided by GPUs—originally designed for video games—to train neural networks, recruiting top talent like Sutskever to lead their scientific efforts. NUMBER 13 1955

In this episode of the Crazy Wisdom podcast, host Stewart Alsop interviews Marcin Dymczyk, CPO and co-founder of SevenSense Robotics, exploring the fascinating world of advanced robotics and AI. Their conversation covers the evolution from traditional "standard" robotics with predetermined pathways to advanced robotics that incorporates perception, reasoning, and adaptability - essentially the AGI of physical robotics. Dymczyk explains how his company builds "the eyes and brains of mobile robots" using camera-based autonomy algorithms, drawing parallels between robot sensing systems and human vision, inner ear balance, and proprioception. The discussion ranges from the technical challenges of sensor fusion and world models to broader topics including robotics regulation across different countries, the role of federalism in innovation, and how recent geopolitical changes are driving localized high-tech development, particularly in defense applications. They also touch on the democratization of robotics for small businesses and the philosophical implications of increasingly sophisticated AI systems operating in physical environments. To learn more about SevenSense, visit www.sevensense.ai.Check out this GPT we trained on the conversationTimestamps00:00 Introduction to Robotics and Personal Journey05:27 The Evolution of Robotics: From Standard to Advanced09:56 The Future of Robotics: AI and Automation12:09 The Role of Edge Computing in Robotics17:40 FPGA and AI: The Future of Robotics Processing21:54 Sensing the World: How Robots Perceive Their Environment29:01 Learning from the Physical World: Insights from Robotics33:21 The Intersection of Robotics and Manufacturing35:01 Journey into Robotics: Education and Passion36:41 Practical Robotics Projects for Beginners39:06 Understanding Particle Filters in Robotics40:37 World Models: The Future of AI and Robotics41:51 The Black Box Dilemma in AI and Robotics44:27 Safety and Interpretability in Autonomous Systems49:16 Regulatory Challenges in Robotics and AI51:19 Global Perspectives on Robotics Regulation54:43 The Future of Robotics in Emerging Markets57:38 The Role of Engineers in Modern WarfareKey Insights1. Advanced robotics transcends traditional programming through perception and intelligence. Dymczyk distinguishes between standard robotics that follows rigid, predefined pathways and advanced robotics that incorporates perception and reasoning. This evolution enables robots to make autonomous decisions about navigation and task execution, similar to how humans adapt to unexpected situations rather than following predetermined scripts.2. Camera-based sensing systems mirror human biological navigation. SevenSense Robotics builds "eyes and brains" for mobile robots using multiple cameras (up to eight), IMUs (accelerometers/gyroscopes), and wheel encoders that parallel human vision, inner ear balance, and proprioception. This redundant sensing approach allows robots to navigate even when one system fails, such as operating in dark environments where visual sensors are compromised.3. Edge computing dominates industrial robotics due to connectivity and security constraints. Many industrial applications operate in environments with poor connectivity (like underground grocery stores) or require on-premise solutions for confidentiality. This necessitates powerful local processing capabilities rather than cloud-dependent AI, particularly in automotive factories where data security about new models is paramount.4. Safety regulations create mandatory "kill switches" that bypass AI decision-making. European and US regulatory bodies require deterministic safety systems that can instantly stop robots regardless of AI reasoning. These systems operate like human reflexes, providing immediate responses to obstacles while the main AI brain handles complex navigation and planning tasks.5. Modern robotics development benefits from increasingly affordable optical sensors. The democratization of 3D cameras, laser range finders, and miniature range measurement chips (costing just a few dollars from distributors like DigiKey) enables rapid prototyping and innovation that was previously limited to well-funded research institutions.6. Geopolitical shifts are driving localized high-tech development, particularly in defense applications. The changing role of US global leadership and lessons from Ukraine's drone warfare are motivating countries like Poland to develop indigenous robotics capabilities. Small engineering teams can now create battlefield-effective technology using consumer drones equipped with advanced sensors.7. The future of robotics lies in natural language programming for non-experts. Dymczyk envisions a transformation where small business owners can instruct robots using conversational language rather than complex programming, similar to how AI coding assistants now enable non-programmers to build applications through natural language prompts.

This episode is a special replay from The Generalist Podcast, featuring a conversation with a16z General Partner Martin Casado. Martin has lived through multiple tech waves as a founder, researcher, and investor, and in this discussion he shares how he thinks about the AI boom, why he believes we're still early in the cycle, and how a market-first lens shapes his approach to investing.They also dig into the mechanics behind the scenes: why AI coding could become a multi-trillion-dollar market, how a16z evolved from a small generalist firm into a specialized organization, the growing role of open-source models, and why Martin believes AGI debates often obscure more meaningful questions about how technology actually creates value. Resources:Follow Mario GabrieleX: https://x.com/mariogabrielehttps://www.generalist.com/Follow Martin Casado:LinkedIn: https://www.linkedin.com/in/martincasado/X: https://x.com/martin_casadoThe Generalist Substack: https://www.generalist.com/The Generalist on YouTube: https://www.youtube.com/@TheGeneralistPodcastSpotify: https://open.spotify.com/show/6mHuHe0Tj6XVxpgaw4WsJVApple: https://podcasts.apple.com/us/podcast/the-generalist/id1805868710 Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please 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 Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI is moving from chat to action.In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does. Resources:Follow Marc Andrusko on X: https://x.com/mandrusko1Follow Stephanie Zhang on X: https://x.com/steph_zhang  Follow Sarah Wang on X: https://x.com/sarahdingwangRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow 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.Please 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI pioneer YOSHUA BENGIO, Godfather of AI, reveals the DANGERS of Agentic AI, killer robots, and cyber crime, and how we MUST build AI that won't harm people…before it's too late.  Professor Yoshua Bengio is a Computer Science Professor at the Université de Montréal and one of the 3 original Godfathers of AI. He is the most-cited scientist in the world on Google Scholar, a Turing Award winner, and the founder of LawZero, a non-profit organisation focused on building safe and human-aligned AI systems.  He explains: ◼️Why agentic AI could develop goals we can't control ◼️How killer robots and autonomous weapons become inevitable ◼️The hidden cyber crime and deepfake threat already unfolding ◼️Why AI regulation is weaker than food safety laws ◼️How losing control of AI could threaten human survival [00:00] Why Have You Decided to Step Into the Public Eye?   [02:53] Did You Bring Dangerous Technology Into the World?   [05:23] Probabilities of Risk   [08:18] Are We Underestimating the Potential of AI?   [10:29] How Can the Average Person Understand What You're Talking About?   [13:40] Will These Systems Get Safer as They Become More Advanced?   [20:33] Why Are Tech CEOs Building Dangerous AI?   [22:47] AI Companies Are Getting Out of Control   [24:06] Attempts to Pause Advancements in AI   [27:17] Power Now Sits With AI CEOs   [35:10] Jobs Are Already Being Replaced at an Alarming Rate   [37:27] National Security Risks of AI   [43:04] Artificial General Intelligence (AGI)   [44:44] Ads   [48:34] The Risk You're Most Concerned About   [49:40] Would You Stop AI Advancements if You Could?   [54:46] Are You Hopeful?   [55:45] How Do We Bridge the Gap to the Everyday Person?   [56:55] Love for My Children Is Why I'm Raising the Alarm   [01:00:43] AI Therapy   [01:02:43] What Would You Say to the Top AI CEOs?   [01:07:31] What Do You Think About Sam Altman?   [01:09:37] Can Insurance Companies Save Us From AI?   [01:12:38] Ads   [01:16:19] What Can the Everyday Person Do About This?   [01:18:24] What Citizens Should Do to Prevent an AI Disaster   [01:20:56] Closing Statement   [01:22:51] I Have No Incentives   [01:24:32] Do You Have Any Regrets?   [01:27:32] Have You Received Pushback for Speaking Out Against AI?   [01:28:02] What Should People Do in the Future for Work?   Follow Yoshua: LawZero - https://bit.ly/44n1sDG  Mila - https://bit.ly/4q6SJ0R  Website - https://bit.ly/4q4RqiL  You can purchase Yoshua's book, ‘Deep Learning (Adaptive Computation and Machine Learning series)', here: https://amzn.to/48QTrZ8  The Diary Of A CEO: ◼️Join DOAC circle here - https://doaccircle.com/  ◼️Buy The Diary Of A CEO book here - https://smarturl.it/DOACbook  ◼️The 1% Diary is back - limited time only - https://bit.ly/3YFbJbt  ◼️The Diary Of A CEO Conversation Cards (Second Edition) - https://g2ul0.app.link/f31dsUttKKb  ◼️Get email updates - https://bit.ly/diary-of-a-ceo-yt  ◼️Follow Steven - https://g2ul0.app.link/gnGqL4IsKKb  Sponsors:  Wispr - Get 14 days of Wispr Flow for free at https://wisprflow.ai/DOAC  Pipedrive - https://pipedrive.com/CEO Rubrik - To learn more, head to https://rubrik.com

Did AI end up being a political force this year?

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow 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](http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important about where we actually are.In this episode, technology analyst and former a16z partner Benedict Evans joins General Partner Erik Torenberg to break down what is real, what is hype, and how much history can guide us. They explore bottlenecks in compute, the surprising products that still do not exist, and how companies like Google, Meta, Apple, Amazon, and OpenAI are positioning themselves.Finally, they look ahead at what would need to happen for AI to one day be considered even more transformative than the internet.Timestamps: 0:00 – Introduction 0:17 – Defining AI and Platform Shifts1:50 – Patterns in Technology Adoption6:04 – AI: Hype, Bubbles, and Uncertainty13:25 – Winners, Losers, and Industry Impact19:00 – AI Adoption: Use Cases and Bottlenecks24:00 – Comparisons to Past Tech Waves32:00 – The Role of Products and Workflows40:00 – Consumer vs. Enterprise AI46:00 – Competitive Landscape: Tech Giants & Startups51:00 – Open Questions & The Future of AIResources:Follow Benedict on LinkedIn: https://www.linkedin.com/in/benedictevans/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What is Artificial General Intelligence? How close are we to achieving it? And who exactly is building it? Danny and Katie look at the global race for artificial general intelligence and speak with Surge AI CEO Edwin Chen, whose company uses human experts to train frontier models from OpenAI, Anthropic and Google. He believes only human expertise will get AI to the next level.Image credit: Surge AI Hosted on Acast. See acast.com/privacy for more information.

Naveen Rao is cofounder and CEO of Unconventional AI, an AI chip startup building analog computing systems designed specifically for intelligence. Previously, Naveen led AI at Databricks and founded two successful companies: Mosaic (cloud computing) and Nervana (AI accelerators, acquired by Intel). In this episode, a16z's Matt Bornstein sits down with Naveen at NeurIPS to discuss why 80 years of digital computing may be the wrong substrate for AI, how the brain runs on 20 watts while data centers consume 4% of the US energy grid, the physics of causality and what it might mean for AGI, and why now is the moment to take this unconventional bet. Stay Updated:If you enjoyed this episode, please be sure to like, subscribe, and share with your friends.Follow Naveen on X: https://x.com/NaveenGRaoFollow Matt on X: https://x.com/BornsteinMattFollow a16z on X: https://twitter.com/a16zFollow a16z on LinkedIn:https://www.linkedin.com/company/a16zFollow the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXFollow the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please 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 http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

PREVIEW — General Blaine Holt (United States Air Force, Retired) — Artificial Intelligence as a New Weapon of Deception and the Threat of Artificial General Intelligence (AGI). General Holt discusses AI as an emerging weapon enabling strategic deception operations designed to misdirect adversarial targeting and force disposition. He emphasizes that advanced indicators and warning systems are essential, requiring command decision-making cadences to align with technological processing speeds. Beyond tactical deception applications, General Holt identifies a critical strategic concern: Artificial General Intelligence (AGI)—the prospect of autonomous, sentient systems making independent targeting decisions on contested battlefields. 1963

Get Huel today with this exclusive offer for New Customers of 15% OFF with code alexoconnor at https://huel.com/alexoconnor (Minimum $75 purchase).William MacAskill is a Scottish philosopher and author, as well as one of the originators of the effective altruism movement. Get his book. What We Owe the Future, here.0:00 – The World Isn't Ready for AGI9:12 – What Does AGIDoomsday Look Like?16:13 – Alignment is Not Enough19:28 – How AGI Could Cause Government Coups27:14 – Why Isn't There More Widespread Panic?33:55 – What Can We Do?40:11 – If We Stop, China Won't47:43 – What is Currently Being Done to Regulate AGI Growth51:03 – The Problem of “Value Lock-in”01:05:03 – Is Inaction a Form of Action?01:08:47 – Should Effective Altruists Focus on AGI?

Have you been having fun with the newest slate of AI tools? Have you been doing research with GPT-5? Coding your projects with Claude? Turning pictures of your friends into cartoon characters from the Fairly Odd Parents using the image editing tool Nano Banana? Are you impressed with what they can do? Well guess what? You're only impressed with them because you're basically a naive child. You're like a little child with an etch a sketch who is amazed that they can make crude images by turning the knobs, oblivious to greater possibilities. At least, that's the impression you get when listening to tech leaders, philosophers, and even governments. According to them, soon the most impressive of AI tools will look as cheap and primitive as Netflix's recommendation algorithm in 2007. Soon the world will have to reckon with the power of Artificial General Intelligence, or “AGI.” What is AGI? Definitions vary. When will it come? Perhaps months. Perhaps years. Perhaps decades. But definitely soon enough for you to worry about. What will it mean for humanity once it's here? Perhaps a techno utopia. Perhaps extinction. No one is sure. But what they are sure of is that AGI is definitely coming and it's definitely going to be a big deal. A mystical event. A turning point in history, after which nothing will ever be the same. However, some are more skeptical, like our guest today Will Douglas Heaven. Will has a PhD in Computer Science from Imperial College London and is the senior editor for AI at MIT Technology review. He recently published an article, based on his conversations with AI researchers, which provocatively calls AGI “the most consequential conspiracy theory of our time.” Jake and Travis chat with Will about the conspiracy theory-like talk from the AI industry, whether AGI is just “vibes and snake oil,” and how to distinguish between tech breakthroughs and Silicon Valley hyperbole. Will Douglas Heaven https://bsky.app/profile/willdouglasheaven.bsky.social How AGI became the consequential conspiracy theory of our time https://www.technologyreview.com/2025/10/30/1127057/agi-conspiracy-theory-artifcial-general-intelligence/ Subscribe for $5 a month to get all the premium episodes: https://www.patreon.com/qaa Editing by Corey Klotz. Theme by Nick Sena. Additional music by Pontus Berghe. Theme Vocals by THEY/LIVE (https://instagram.com/theyylivve / https://sptfy.com/QrDm). Cover Art by Pedro Correa: (https://pedrocorrea.com) https://qaapodcast.com QAA was known as the QAnon Anonymous podcast. The first three episodes of Annie Kelly's new 6-part podcast miniseries “Truly Tradly Deeply” are available to Cursed Media subscribers, with new episodes released weekly. www.cursedmedia.net/ Cursed Media subscribers also get access to every episode of every QAA miniseries we produced, including Manclan by Julian Feeld and Annie Kelly, Trickle Down by Travis View, The Spectral Voyager by Jake Rockatansky and Brad Abrahams, and Perverts by Julian Feeld and Liv Agar. Plus, Cursed Media subscribers will get access to at least three new exclusive podcast miniseries every year. www.cursedmedia.net/ REFERENCES Debates on the nature of artificial general intelligence https://www.science.org/doi/10.1126/science.ado7069?utm_source=chatgpt.com Why AI Is Harder Than We Think https://arxiv.org/pdf/2104.12871 AI Capabilities May Be Overhyped on Bogus Benchmarks, Study Finds https://gizmodo.com/ai-capabilities-may-be-overhyped-on-bogus-benchmarks-study-finds-2000682577 Examining the geographic concentration of VC investment in AI https://ssti.org/blog/examining-geographic-concentration-vc-investment-ai Margaret Mitchell: artificial general intelligence is ‘just vibes and snake oil' https://www.ft.com/content/7089bff2-25fc-4a25-98bf-8828ab24f48e