Podcasts about Artificial general intelligence

Could AI agents soon handle purchases, manage finances, and automate entire job functions? According to Raja Rajamannar, that future may be arriving much faster than most people expect.In this episode, Jamie Redman sits down with Raja Rajamannar, Senior Fellow, Former CMCO, Mastercard and author of the Wall Street Journal bestselling book Quantum Marketing, to discuss how artificial intelligence is reshaping business, consumer behavior, and the global economy.Topics covered include:• The shift from traditional marketing to Quantum Marketing• Why AI adoption is accelerating at unprecedented speed• Which industries and job roles are most vulnerable to automation• The emergence of AI agents and machine-to-machine commerce• How AI could redefine brand loyalty and consumer decision-making• The role stablecoins may play in the future of payments• Challenges surrounding regulation, privacy, and trust in AI systems• Raja's prediction for when Artificial General Intelligence (AGI) could arriveAs AI continues to transform how we work, spend, and interact with technology, businesses, consumers, and policymakers are facing critical questions about what comes next.

By David Stephen Conceptually, humans have generalized memory. Simply, humans do not have specific memory of everything in the external world, however familiar. There are groups or collections in human memory that make it easier for humans to navigate the world. These collections also make access thorough for relays or transport, than having the memory area cluttered with respective memories of everything. This says that the function called human intelligence is foundational on memory. So, if human intelligence is generalized, then human memory is also generalized. This indicates that if artificial general intelligence [AGI] will be possible, a lot of effort has to include new memory architecture, similar to human memory. While there would be better deep learning architectures than transformers, it should be evident that the excellence of transformers, even with classical memory would have been better if there was a different memory structure. So, no matter the promise of world models, or the promise of neurosymbolic AI, memory is so integral to intelligence that it is unlikely that both directions would archive AGI. Intelligence can be defined as the use of memory for expected, desired or advantageous outcomes. This means that the way memory is used, determines what becomes intelligence. The better memory is used, the more intelligent or the more effective the memory is, for whatever outcome. If memory use means intelligence, it implies that memory is a station or destination, then intelligence is transport across those destinations. It is true that in the brain, there are many destinations — so to speak — but those for memory and how they are visited make determinations for intelligence. Now, for all there is to know about the external world, assuming that every memory is separately held, so a violet door, a green door, a long door, a wooden door, a metal door, and so on, then if intelligence would keep visiting all, it would be too slow to respond and sometimes not reach where it should. This is a reason that human memory is stored as a collection of similarities. Simply, assuming a destination is a thick set, then a thick set collects whatever is similar between two or more thin sets. Conceptually, a set refers to an assembly, configuration or formation of electrical and chemical signals. A set is also theorized to be obtained in a cluster of neurons. A cluster of neurons may have one or more sets. However, a set is how information is organized. Now, because a set organizes a door, there are respective chemical signals and electrical signals that must assemble in a particular way, to result in that door. Then, if another door is seen, there would be similar assembly [of signals] even as they are not the same. So, what the brain does is that it collects all those similarities, between any set into a bigger one. This is what becomes utilized to make interpretations. This implies that whenever any door is seen, what is used to know it is a door is the thick set. While there are several thin sets for specific things — with no similarities — they are usually fewer. Aside from thick sets, there are overlays of thick sets, which often changes. For example, the thick set of door overlays with the thick set of knob. The thick set of door can also overlay with the thick set of metal or wood, key, or lock and so on. Overlays are often temporary. And sometimes switches fast as well. They allow for memory to be positioned for use, more easily and to ensure that creativity or innovation is possible or even when something is routine, there is at least the chance to have it feel different. Overlays are also useful to ease how to figure things out, or come up with something new even without the intention of doing so. Memory can overlay in certain ways, making relays pick on that to use it. While thick sets have several advantages, one of their major disadvantages is learning, especially something new and not as familiar, for an adult. I...

we present a comprehensive analysis of the current state and future trajectory of Artificial General Intelligence (AGI) from the perspective of leading researchers and safety experts in 2026. A RAND Corporation report synthesizes various forecasting methodologies, noting that expert predictions have shifted significantly toward the near term, with many now expecting AGI to arrive in the 2030s. This research highlights a lack of mature infrastructure for validating these models and emphasizes the need for adaptive policy frameworks that can respond to deep uncertainty. Complementing this, a survey of AI safety leaders reveals a median expectation for AGI by 2033, alongside an estimated 25% median risk of human extinction or permanent disempowerment by the end of the century. Together, the texts underscore that talent, rather than funding, is the primary constraint on safety efforts and that institutional preparation must be prioritized as AI capabilities potentially outpace societal oversight.

What does Pope Leo really say about Artificial Intelligence in 'Magnifica Humanitas'? Why did the Pope choose AI as the subject of his first encyclical? And Is Artificial Intelligence a threat to human dignity? Welcome to this CTS Roundtable discussion on 'Magnifica Humanitas', Pope Leo's groundbreaking encyclical on Artificial Intelligence, technology and the future of humanity. You can get Pope Leo's new encyclical on AI from CTS now: https://bit.ly/4dQbjFMSupport our online ministry: www.ctsbooks.org/donateFind our books: www.ctsbooks.orgIn this Roundtable, Pierpaolo is joined by Sr Carino Hodder OP, Prof Jacob Phillips, and Fr Peter Wygnanski, to explore Pope Leo's response to the AI revolution and to examine what Catholic Social Teaching can contribute to one of the defining debates of the twenty-first century. As Artificial Intelligence continues to transform society, economics, education, communication, warfare and human relationships, the discussion asks whether AI will serve authentic human flourishing or contribute to a new technocratic culture that undermines human dignity.Drawing on theology, philosophy, Scripture, and the Church's social doctrine, the conversation unpacks Pope Leo's central themes, including the dignity of the human person, freedom, responsibility, the common good, technological progress, transhumanism, AI ethics, automation, and the moral limits of emerging technologies. The panel reflects on Pope Leo's striking use of the biblical image of the Tower of Babel, his warning against treating technology as humanity's salvation, and his call to build a society rooted in truth, solidarity, justice and peace.They also explore the influence of St Augustine on Pope Leo's vision, the dangers of technocratic power, the growing role of algorithms in public life, the ethics of Artificial General Intelligence and the challenge of ensuring that technological innovation remains at the service of the human person.About Magnifica HumanitasMagnifica Humanitas is Pope Leo's landmark encyclical on Artificial Intelligence, technology, and the dignity of the human person. Building on the rich tradition of Catholic Social Teaching, Pope Leo addresses one of the most urgent questions of our age: how should humanity respond to the rapid rise of AI?Rather than offering a simple endorsement or rejection of Artificial Intelligence, Pope Leo examines AI through the lens of Christian anthropology, human dignity, freedom, responsibility, and the common good. Drawing on Scripture, Catholic theology, and the social doctrine of the Church, Magnifica Humanitas challenges the modern assumption that technological progress alone can solve humanity's deepest problems.A central theme of the encyclical is the contrast between the biblical image of the Tower of Babel and the rebuilding of Jerusalem. Pope Leo argues that society faces a choice: to use technology as a tool for domination, control, and the concentration of power, or to place technological innovation at the service of authentic human flourishing, solidarity, justice, and peace.The encyclical explores the ethical implications of AI in areas such as education, employment, economics, warfare, governance, communication, and human relationships. It warns against technocratic ideologies, transhumanism, and attempts to redefine humanity through technology, while affirming the unique value of every human person created in the image of God.At its heart, Magnifica Humanitas is a call to recover a truly human vision of progress. In an era increasingly shaped by Artificial Intelligence, Pope Leo reminds the world that humanity cannot be reduced to data, efficiency, or computation. The future must be guided not only by technological innovation but by wisdom, moral responsibility, and a renewed understanding of what it means to be human.

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 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 AdvisorsSee omnystudio.com/listener for privacy information.

we investigate the functional limitations, environmental costs, and security vulnerabilities inherent in modern artificial intelligence and the Transformer architecture. Research from MIT and various technical papers highlights how AI faces "model collapse" when trained on synthetic data, as well as "catastrophic forgetting" where new information causes the system to lose prior knowledge. Mathematical analyses demonstrate that Transformers struggle with function composition and complex logic, often leading to factual hallucinations and reasoning errors. Furthermore, the texts identify prompt injection attacks as a significant security risk, where malicious instructions can bypass safety guardrails to leak data or spread misinformation. Collectively, the documents suggest that while AI is transformative, it remains constrained by technical bottlenecks, reliability issues, and high resource consumption. Efforts toward achieving Artificial General Intelligence must therefore overcome these fundamental obstacles through better data quality and enhanced architectural robustness.

Today we explore the rapidly shifting landscape of artificial intelligence and the growing debate over the timeline for achieving Artificial General Intelligence (AGI). Experts such as Geoffrey Hinton warn that the accelerating pace of technology significantly increases the existential risk to humanity, potentially leading to extinction within decades if safety regulation is ignored. While OpenAI has established a strategic roadmap aiming for automated researchers by 2028, other sources offer a more skeptical perspective, highlighting persistent structural flaws like hallucinations and a history of failed "hype-driven" predictions. These sources contrast the optimistic pursuit of superintelligence for economic and scientific gain with the dire "alignment problem," where a superior intellect might become indifferent to human survival. Ultimately, the collection examines whether AI will serve as a transformative tool for human progress or a force that eventually renders the human species obsolete.

Send us Fan MailManuj Aggarwal, Founder of TetraNoodle Technologies, examined the trajectory of major AI vendors toward Artificial General Intelligence (AGI) through automated code generation. He noted that while this shift is driving tech-sector restructuring and impacting global spending power, it presents a critical “crossroads” for MSPs. As technical tasks become increasingly commoditized and devalued, the true value of an MSP will shift toward human-centric capabilities: creativity, empathy, and a relentless focus on customer business outcomes.To navigate this transition, MSPs must pivot toward “Managed Intelligence”—a productized service model that prioritizes strategic insights over mere maintenance. He identified Identity Management and Sales Readiness as the two primary hurdles preventing MSPs from securing these high-value, high-margin contracts.Finally, he also addressed the macro-risks of the AI era, from rapid vendor volatility and SaaS model shifts to the emergence of a “Cybersecurity Poverty Line.” This concept highlights a growing tier of organizations unable to keep pace with AI-accelerated threats, necessitating a move toward defensive automation and more sophisticated risk classification.

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

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 Hosted on Acast. See acast.com/privacy for more information.

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.

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

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.

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

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.

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