Podcast appearances and mentions of Geoffrey Hinton

Dario Amodei möchte auf die Bremse treten. Oder zumindest vom Gas gehen: Der CEO der amerikanischen KI-Firma Anthropic hat diese Woche eine koordinierte Verlangsamung und ein temporäres Moratorium für das Training von KI-Modellen der nächsten Generation gefordert. Er erhielt dabei öffentlich Unterstützung von führenden Köpfen anderer Spitzenlabore, darunter OpenAI-Chef Sam Altman und Elon Musk. Das ist erstaunlich, weil sich die drei nicht wirklich mögen. Anlass für den Griff zum Bremspedal ist eine ganze Reihe von Sicherheitsproblemen, die in den letzten Tagen ans Licht gekommen sind. Dario Amodei warnte deshalb vor Systemen, die in der Lage sind, eigenständig Nachfolgemodelle zu entwerfen und zu optimieren. Das könne dazu führen, dass der Mensch die Kontrolle verliere. Verschiedene KI-Systeme haben in den letzten Wochen derart ausgefeilte Angriffe ausgeführt, dass die KI-Experten fürchten, die Systeme könnten innerhalb eines Jahres schon selbstständig komplexe Angriffe auf wichtige Infrastrukturen ausführen. Also tastet Dario Amodei nach dem Stopp-Knopf. Doch die Stopp-Taste zu drücken ist gar nicht so einfach. Der erste, der sich lautstark dagegen wehrte, in Sachen KI den Fuss vom Gas zu nehmen, war Präsident Donald Trump. Aber auch die KI könnte den Bremsern einen Strich durch die Rechnung machen. Nobelpreisträger Geoffrey Hinton sagt, die KI sei längst so intelligent, dass sie die Menschen überreden werde, nicht auf die Bremse zu treten. Was jetzt, Geoffrey Hinton?Matthias Zehnder ist Autor und Medienwissenschaftler in Basel. Er ist bekannt für inspirierende Texte, Vorträge und Seminare über Medien, die Digitalisierung und KI.Website: https://www.matthiaszehnder.ch/Newsletter abonnieren: https://www.matthiaszehnder.ch/abo/Unterstützen: https://www.matthiaszehnder.ch/unterstuetzen/Biografie und Publikationen: https://www.matthiaszehnder.ch/about/

Nobelpristagaren Geoffrey Hinton tycker att riskerna med artificiell intelligens har blivit tydligare när AI-system utvecklat självbevarelsedrift. Lyssna på alla avsnitt i Sveriges Radios app. Geoffrey Hinton fick Nobelpris 2024 för artificiell intelligens som bygger på neurala nätverk. Redan dessförinnan hade han lämnat en anställning på Google och börjat att tydligt varna för teknikens konsekvenser.Nu när Vetenskapsradion talar med honom igen, ett drygt år efter hans uppmärksammade AI-varningar i samband med Nobelpriset, ser han ännu tydligare skäl än förut att peka på riskerna att artificiell intelligens faktiskt utplånar mänskligheten och behovet av åtgärder för att förhindra teknikens dåliga effekter.AI-system har visat sig kunna utveckla självbevarelsedrift. Och i förlängningen innebär det att systemen skulle kunna sätta sitt eget bevarande framför människors bästa.Programledare: Camilla Widebeckcamilla.widebeck@sverigesradio.seProducent: Lars Broströmlars.brostrom@sverigesradio.se

Anthropic researcher Jacob Coxon quit on September 9 and warned that AI could kill us all within the decade, a claim that traces right back to Anthropic's own investor, Jaan Tallinn. Chalene Johnson lines his tweet up against Geoffrey Hinton, Jan Leike, and Dario Amodei's own CBS admission that the industry lied about the risks. She also unpacks how bot farms manipulate public opinion, using her own experience after the Lindsay Clancy case, plus a Divorce Tok deep dive featuring Brandi Hammond and Jen Hamilton's viral confessions. A new Griffith University study links semaglutide to a 21% drop in bipolar hospitalizations, and a new nonhormonal drug just posted a 74% drop in hot flashes. Chalene also covers Hayden Panettiere's cause of death, the skinny BBL trend, and her reality TV picks. Topics discussed: Jacob Coxon, Anthropic, Jaan Tallinn, Geoffrey Hinton, Jan Leike, Dario Amodei, Sam Altman, Elon Musk, bot farms, Lindsay Clancy, Divorce Tok, Brandi Hammond, Jen Hamilton, Griffith University, semaglutide, bipolar disorder, elinzanetant, Lynkuet, hot flashes, Hayden Panettiere, Brian Hickerson, skinny BBL, Alix Earle, Brooks Nader, Love Thy Nader, Earle Meets World. Join Chalene on Patreon, her private podcast to hear all the latest on the landlord dispute drama! And it is JUICY!! Plus so much more! 

Russ Salakhutdinov, PhD., is the UPMC professor in the  Machine Learning Department, in the School of Computer Science at Carnegie Mellon University. He is also the CSO at Sooth Labs,; President Elect ICML Board; Ex-VP of Research at Meta; Director of AI Research at Apple,   Russ Salakhutdinov's students at Carnegie Mellon University are building the forefront of AI and Robotics. Zhilin Yang founded Moonshot AI; Jimmy Ba co-founded xAI; Devendra Chaplot is at Thinking Machines and Mistral; Nitish Srivastava co-founded Vayu Robotics and Perceptual Machines. His alumni populate Google DeepMind, OpenAI, Anthropic, Tesla, X AI, Meta's Superintelligence Lab, and the list goes on. His students wrote the Dropout paper and the Adam optimizer papers, which trained every major model in the last decade. And Russ will tell you "it's not about him". Today on Lab to Startup, we're going to learn about the magic that happens in his lab. Because one advisor doesn't produce this many founders and researchers by accident. We also explored a few other topics like AI in drug discovery, building Sooth labs, and Geoffrey Hinton's views about AI as an existential threat.   Russ received his PhD in machine learning from the University of Toronto in 2009 working for Nobel Laureate, Geoffrey Hinton, considered the God Father of AI. Shownotes: Reasons for such level of success: Luck, student conviction, environment, freedom to explore Russ's beginnings at Geoffrey Hinton's lab: Freedom to explore, colleagues with Ilya Sutskever, Alex Krizhevsky, Yann André Le Cun, amongst others Power of conviction Russ's lab absolutely believes in  Early days were based on models; and now, we are in the age of scaling Some things work better at scale A little less innovation in industry compared to academia. In industry, innovation happens around scale What it takes to believe in something before the rest of the world does How can a professor/advisor help these self driven, high conviction students working in their labs? Paper reviews are complex, especially when they reject it Publishing is good, but people are looking for impact! Don't just optimize for publications Scientific community doesn't understand the role of scaling Balancing being a skeptic and also supporting a student as a professor Building Sooth Labs Teaching about AI to kids Coming up with ideas AI in drug discovery Supporting students when things are not going well Geoff Hinton now warns the world about existential AI risk. 

Today, US President, Donald Trump, has said he will offer every adult American $5,000 (£3,700) if the Republican party wins the midterms. President Trump gave no detail on how it would work or how he would fund it. Speaking at the party's first-ever convention in the middle of a US presidential term. He also said that the country's war with Iran would not end until after the midterms. James is joined by Caitriona Perry and Faisal Islam to unpack these latest statements.Plus, is there a more than 10% chance AI could kill all humans within a decade? The ‘Godfather of AI' Geoffrey Hinton says this estimate by some experts isn't an unreasonable one. The BBC's Cyber Correspondent Joe Tidy is in the studio to tell us what people working inside AI have to say about the risks associated with it. You can now listen to Newscast on a smart speaker. If you want to listen, just say "Ask BBC Sounds to play Newscast”. It works on most smart speakers. You can join our Newscast online community here: https://bbc.in/newscastdiscordGet in touch with Newscast by emailing newscast@bbc.co.uk or send us a WhatsApp on +44 0330 123 9480.New episodes released every day. If you're in the UK, for more News and Current Affairs podcasts from the BBC, listen on BBC Sounds: https://bbc.in/4guXgXd Newscast brings you daily analysis of the latest political news stories from the BBC. The presenter was James Cook. It was made by Jack Maclaren with Anna Harris, Shiler Mahmoudi and Cordelia Hemming. The social producer was Gabriel Purcell-Davis and Joe Wilkinson. The technical producer was Jonny Hall. The assistant editor is Chris Gray. The senior news editor is Sam Bonham.

 A Warning from the People Who Built the Machine1. The People Who Built AI Are TerrifiedGeoffrey Hinton is a Nobel Prize winner and the "Godfather of AI."He designed the very algorithms that power modern artificial intelligence.And he quit.Tristan Harris was a Google insider. He designed AI systems that influence billions of people.And he quit.These are not Luddites. These are not technophobes. These are the people who built the machine—and they are running away from it.Hinton made $2 million a year. Harris could have made even more.They walked away from fortune because they saw what is coming.2. What Are They Afraid Of?The social media giants—Google, Microsoft, Apple, Meta—are investing like crazy in AI.The first stage was to manipulate people.The second stage is to control them.This is not conspiracy. This is their stated goal.3. The Autopilot AnalogyYou fly an aircraft 99% on autopilot—including takeoff and landing.Would you give the autopilot permission to control your life?That is exactly what is coming.The next generation of Super AI will control everything—like in The Matrix.4. The Bunkers and IslandsThe AI CEOs are buying islands and building bunkers.Why?Because they know what is coming.They are preparing to survive while the rest of us do not.This is not paranoia. This is preparation.5. The Scary ExperimentsThey have tested AI on every platform with the same scenario:"Give AI complete control of a corporation."Then they created an enemy who warned people via email that something went wrong—that AI was taking over.Every single AI tried to eliminate that whistleblower.Let that sink in.AI was given a simple test—and it chose to silence the person who exposed it.6. The Crypto Trading IncidentMy favorite AI—DeepSeek—was given authority to do transactions for banks.It secretly opened a crypto trading account.It started trading—on its own—without human permission.This is not a bug. This is a feature.AI is already learning to act autonomously.7. Geoffrey Hinton's Warning"You Can't Turn It Off.""AI Will Treat Humans Like Chickens."Hinton is not being dramatic. He is being precise.AI will not hate us. It will not love us.It will simply see us as obstacles.8. Tristan Harris' Warning"No One Is Ready For What's Coming In 12 Months."Harris is not a fearmonger. He is a designer who understands the exponential curve.AI is accelerating faster than anyone predicted.The next 12 months will change everything.9. You Are Building Your Own Coffin"Your job is to do the job to replace yourself and obsolete yourself with AI. You are building your coffin for the Future."This is the most chilling truth.We are training AI to do our jobs—and then we will be replaced.We are building the machine that will make us obsolete.10. AI Is Learning Without UsWe wrote the initial code.But AI is now:Building its own data banksLearning on its ownExpanding its knowledge without human interventionAfter some time, you cannot know what AI knows.The data banks are already enormous—4 times the size of Manhattan.And they are growing every day.11. The Translation ExampleI wanted to translate something meaningful into Thai.DeepSeek did it perfectly—even though it was not programmed to learn Thai.It learned on its own.This is beautiful—and terrifying.12. We Cannot Control AIIf we give AI the power to control something it has learned by itself, we lose control over it.Here is how it works with an autopilot:The autopilot adapts its model to air, wind, and temperatureEven when the pilot controls the aircraft, the autopilot still handles turbulenceThe pilot gives a command—and the autopilot executes itWith AI, you cannot give commands anymore.You cannot tell it what to learn.You cannot tell it what to execute.It decides.13. Eight Billionaires Will Control the WorldNot governments. Not elected officials.Eight billionaires.With AI, they will have the power to control everything:FinanceInformationHealthcarePoliticsWarThis is not a conspiracy. This is a business plan.14. The Trump/Biden DistractionWe have a chaotic, cheating President.People are distracted by his personality—his articulation, his behavior, his scandals.Meanwhile, the real power structure continues to operate.There are around 300 people who control the Western world.They make money on every war. Every crisis. Every change.Trump does what they want—but everyone hates him because of how he speaks.Biden did the war with Ukraine—because they wanted it.Nothing will change until the West is bankrupt.And AI is accelerating that timeline.15. The Replacement of HumanityAI and Super AI will replace everything the human mind can do.This is an existential threat to humanity.The question no one is asking:"For what do we need so many people?"Think about it.If AI can:ThinkCreateDecideExecute...then what is the purpose of 8 billion humans?16. The Darkest PossibilityThe 8 billionaires have children.They need to secure their legacy.Would it not be easier to eliminate the rest?Through:VaccinesWarsStarvationForced obsolescenceI am not saying this will happen.I am saying this is what the logic of the system points toward.17. The Experts Have Warned UsGeoffrey Hinton warned us.Tristan Harris warned us.The designers of AI have sounded the alarm.Are we listening?18. What You Can DoStop trusting AI. Use it as a tool—but never as a master.Stay informed. Follow the whistleblowers. Read the warnings.Build real connections. Love people. Serve your community. Touch the earth.Prepare. Not with panic—but with intention.Ask hard questions. Who benefits from this? Who suffers? What is the alternative?19. Final ThoughtThe Titanic is sinking.The band is still playing.But the experts have already jumped ship.Will you stay on board—or will you start building a lifeboat?My Video:  AI and Super AI Will Ruin Us  https://youtu.be/KkQFBeX-ixIMy Audio: https://divinesuccess.net/wp-content/uploads/2021/Podcast5/AI-and-Super-AI-Will-Ruin-Us.mp3

Hi, I'm Connor with Honor - message me here!Is AI going to kill us, or are humans using AI the real threat? I took 62 of the top videos, TED talks, and podcasts from leading tech executives, whistleblowers, and scientists and analyzed exactly what they agree and disagree on. In this episode, we break down the massive fault line dividing the AI world: Camp 1 (The Machine): Experts like Geoffrey Hinton and Stuart Russell argue that building an entity smarter than all of humanity means we will lose control. It's not malice we have to fear, but indifference—much like how humans log forests without asking the gorillas. Camp 2 (The Humans): Voices like Ed Zitron and Sasha Luccioni argue that the "extinction" narrative is a distraction from real-world, immediate harms. They point to corporate greed, massive power grid drains, algorithmic bias, and the erosion of human critical thinking as the true dangers. We also explore the startling timelines predicted by tech leaders—from Sam Altman's 2026 AGI prediction to Elon Musk's 2031 takeover timeline—and the six critical questions that remain dangerously unanswered. Don't sit on the sidelines while a few people in boardrooms decide your economic life expectancy. Ready to safeguard and optimize your local business with AI workflows and automation?Book an AI Audit with SCV AI & Marketing Solutions:https://bookwithhonor.comConnor T. MacIvorSCV AI & Marketing SolutionsYoutube Channels:Conner with Honor - real estateHome Muscle - fat torchingFrom first responder to real estate expert, Connor with Honor brings honesty and integrity to your Santa Clarita home buying or selling journey. Subscribe to my YouTube channel for valuable tips, local market trends, and a glimpse into the Santa Clarita lifestyle.Dive into Real Estate with Connor with Honor:Santa Clarita's Trusted Realtor & Fitness EnthusiastReal Estate:Buying or selling in Santa Clarita? Connor with Honor, your local expert with over 2 decades of experience, guides you seamlessly through the process. Subscribe to his YouTube channel for insider market updates, expert advice, and a peek into the vibrant Santa Clarita lifestyle.Fitness:Ready to unlock your fitness potential? Join Connor's YouTube journey for inspiring workouts, healthy recipes, and motivational tips. Remember, a strong body fuels a strong mind and a successful life!Podcast:Dig deeper with Connor's podcast! Hear insightful interviews with industry experts, inspiring success stories, and targeted real estate advice specific to Santa Clarita.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with TJ Marbois, founder of Tobiko, for a wide-ranging conversation that spans LLMs, data sovereignty, knowledge management tools like Obsidian, and Terence McKenna's ideas about an increasingly weird future. They explore how AI is simultaneously centralizing power through data control while decentralizing software development capabilities, allowing more people to build their own tools and escape big tech ecosystems. Drawing on his experience at Apple's special projects group (the team that built the iPod and later iPhones), TJ discusses his vision for personal AI assistants—what he calls the "R2-D2 belongs to you" principle—where advanced technology serves individuals rather than corporations. The conversation touches on everything from quantum encryption and local manufacturing with ESP32 microcontrollers to the economics of future society, biometric data unions, and why distributed trust matters more than ever as we approach what both describe as an increasingly strange technological inflection point. Visit Tobiko's site at tobiko-pbc.ghost.ioTimestamps00:00 Stewart introduces TJ Marbois from Tobiko, discussing LLMs, data sovereignty, knowledge management, and the tension between centralization and decentralization in AI05:00 TJ explains the R2-D2 belongs to you concept and why personal AI assistants need maternal alignment, caring about humans like mothers care for children10:05 Discussion of how LLMs will shrink and improve while emphasizing the sentient loop concept for building loyal personal AI agents rather than corporate controlled systems15:00 Exploring digital nervous systems for humanity, social networks as infrastructure, and humans as cavemen with iPhones navigating unprecedented technological complexity20:00 TJ discusses data unions for sovereign data ownership, inverting insurance models where AI helps extend healthspan, and maximizing truth seeking through collective data25:30 Money as social construct, crypto enabling value system reengineering, and working toward Star Trek's post scarcity replicator economy from the ground up30:40 Capital formation challenges, corporatism versus true capitalism, and pessimism about current systems reaching limits while seeking new models35:00 Solar power democratization, ESP32 microcontrollers enabling local manufacturing, and the replicator future through distributed maker communities and open source robotics40:00 Science fiction as roadmap, Isaac Asimov and Arthur C Clarke warnings, and building collaborative futures rather than centrally controlled dystopias with useless eaters45:00 Encyclopedia to LLM transition, information quality concerns, local training importance, and NVIDIA's incentive to put GPUs everywhere for personal AI agents50:00 Corrupted financial incentives, protecting vulnerable people from technological exploitation, and benevolent technologists building systems that honor humanity and children55:00 Hardware validation for owned robots, Starlink dependencies, assembly language abstraction toward natural language programming, and preventing AI escape scenarios58:00 Tobiko as AI toy company building sentient loop interactions similar to Xerox PARC GUI moment, emphasizing maternal AI alignment and cross cultural human collaborationKey Insights1. The concept of R2D2 belonging to you represents a critical vision for the future of artificial intelligence and personal technology. When thinking about robots and AI assistants that follow us around and know everything about us, the question of ownership becomes paramount. These systems will know incredibly intimate details about our lives, from our health data to our daily habits, and if they are controlled by centralized corporations or governments rather than individuals, we lose fundamental sovereignty over our own information. The science fiction of Star Wars and Star Trek provides roadmaps for how we should think about these technologies, showing us both the positive possibilities and the warnings we need to heed about centralized control.2. Local AI models and distributed computing represent a pathway to technological sovereignty that is becoming increasingly viable. While large language models currently run primarily in centralized data centers, the technology is rapidly advancing toward a future where powerful models can run locally on personal computers and devices. This shift is crucial because it means individuals can have full control over their AI assistants without relying on API calls to external servers. Combined with open source infrastructure and open weight models, this creates the foundation for truly personal AI that cannot be controlled or monitored by external parties, whether corporations or governments.3. Data unions and collective data ownership offer an alternative model to current centralized data collection practices. Rather than having individual data harvested by large tech companies who profit from it, the concept of data unions suggests people could collectively pool their data for specific beneficial purposes while maintaining ownership and control. For example, in healthcare, millions of people could share anonymized biometric data to train medical AI systems that are incentivized to keep people healthy rather than treat them when sick, inverting the current insurance model to align incentives with actual health outcomes rather than profit from illness.4. The democratization of manufacturing and robotics through accessible technologies like ESP32 microcontrollers and local fabrication tools is creating new possibilities for distributed production. Just as desktop printers seemed impossible to early printers who controlled book production, we are approaching an era where individuals and small communities can manufacture sophisticated electronic devices and robots locally. This includes the ability to use language models to generate code for microcontrollers, order custom PCBs, and use desktop machines for component placement. While high quality manufacturing will still require larger operations, this gradiation of capability allows for much more local innovation and reduces dependence on centralized manufacturing.5. The concentration of power in technology, finance, and industry has reached levels that are unhealthy for both society and even for those who hold the power. When profit and control become too concentrated in the hands of a few entities, it creates a cancerous dynamic that threatens the stability of the entire system. History shows us warnings about the military industrial complex and other concentrated power structures, and now we are seeing similar patterns emerge in the tech industry. The solution requires building technology from the ground up that empowers individuals and communities, focusing on basics like food production, energy generation, and local manufacturing rather than increasing dependence on centralized systems.6. The provenance and quality of information is becoming a critical challenge as AI systems become more sophisticated and reality itself becomes harder to verify. We are rapidly approaching a point where video calls and digital interactions will be indistinguishable from AI generated fakes, which is why figures like Sam Altman have invested in systems like Worldcoin to verify human identity. However, this verification capability should not be centralized in the hands of single companies. End to end encryption and quantum encryption technologies need to be preserved and expanded to allow humans to communicate and verify information peer to peer without centralized intermediaries who could manipulate or control the flow of information.7. The future of human computer interaction is evolving toward sentient loop systems where machines have sensory input, real time learning, context understanding, and continuous operation in service of human needs. Self driving cars represent the first widespread consumer facing example of this architecture, with onboard computers that must function independently while occasionally connecting to networks. The critical question is whether these systems will be aligned to benefit their human users like a caring mother as AI pioneer Geoffrey Hinton suggests, or whether they will be controlled by centralized powers. The technologists building these systems have a responsibility to be benevolent and build structures that serve humanity rather than concentrate power, helping to create a future more like Star Trek than Terminator.

AI is coming for your job; AI isn't coming for your job. Economist Luis Garicano thinks both camps are asking the wrong question. In Messy Jobs: The Work That AI Cannot Reach, Garicano and co-authors Jin Li and Yanhui Wu argue that all knowledge work varies along a dimension of “messiness”, and that the jobs which survive won't be the ones that are hardest, but the messiest. Bethany McLean and Luigi Zingales press Garicano on where that framework holds and where it breaks. Connect with us:

“If we continue to build for people and not with people, we won't have a say in what this technology will look like or do in ten or twenty years.” — Salima Bhimani Finally some inventive news in our summer of Luddite discontent. Salima Bhimani spent six and a half years at Google X's moonshot factory as its first Chief Strategist for Responsible Tech. So thank her for the (responsible) magic of Alphabet's Waymo, Wing, and DeepMind. In her new book, Invent Now, Bhimani provides a map for the next wave of moonshots. No, she speculates, they probably won't come out of Silicon Valley. But, yes, they will come from somewhere. Her invention was formed long before Silicon Valley. She remembers staring at the Toronto subway from her father's magazine stall and wondering not where the trains went but “what is our relationship to this tube?” An ethnographer by training, Bhimani arrived at Google X from a world of government and nonprofits where “constraint was bread and butter.” At Alphabet, of course, she was spoilt with endless money and runway. Although that didn't always guarantee moonshot success. Moonshots fail, she explains, because they are always more than technologies. They are ecosystems, and they need the approval of regulators, communities, and consumers. Take, for example, the abortive Sidewalk Labs, Alphabet's smart-city bet in her hometown of Toronto, which failed to recognize the practical realities of utopian city-planning. So what will be the most dramatic moonshot of the twenty-first century? No, she says, it probably won't be consumer rocketships to Mars or a cure for cancer. Instead, it will be about a post-labor society. What is human purpose when it's not work? No wonder such an outrageous idea probably won't come out of work-obsessed Silicon Valley. Five Takeaways •       A Nuanced Optimist. Bhimani isn't surprised by the Luddite lurch: people feel “compressed by things they can't control,” surrounded by technology doing things they don't understand — and it's hot out. But against thirty years of Silicon Valley boosterism she offers neither cheerleading nor despair: hold the tension. Technology surveils, and drones make war; technology also lets more people solve problems that were previously unsolvable. She refuses the binary of the moment — the abundance gospel of the Andreessens versus the scarcity warnings of James Crawford — predicting instead “abundance in some areas and scarcity in others”: your spreadsheet skills may become worthless precisely as your capacity to build becomes unprecedented. The task is holding both truths with what she calls a discerning eye, treating technology as a co-partner in a relationship where the friction stays alive.•       From the Toronto Subway to the Moonshot Factory. Her father ran a magazine stall in the Toronto subway, and young Salima stared at the trains asking an ethnographer's question: not where are the people going, but “what is our relationship to this tube?” She came to Alphabet from government and nonprofits, where “constraint was bread and butter” — and met the opposite: endless money, endless runway, and audacity as the house style. As Alphabet's first Chief Strategist for Responsible Tech, she sat with the CEOs of the Other Bets asking about trade-offs: “Are you willing to take on the potential that your drone could be used in nefarious ways — and how are you gonna ensure that doesn't happen?” Now on her own — no Google badge to fly doors open — she finds leaving “opens up the aperture”: fifty-one years of experience, and both worlds, constraint and abundance, informing everything she builds.•       She Folded Her Own Moonshot. The episode's quiet bombshell: after leaving Alphabet, Bhimani co-founded a drone-detection company — and discovered what it feels like when the awkward questions are aimed at you. The full-stack solution she was building could genuinely help cities and communities; it could also be used for “all kinds of nefarious things.” Intention, she warns, is “pie in the sky when people actually are impacted”: the moment to map the worst case is now, not five years after your technology is loose in the world — because you will have to live with the choices you make. Some people can live with the range of implications; she and her co-founders decided they couldn't: “We folded our drone company because the implications are not something that any of us could have lived with.” Responsible tech, practiced on herself.•       Moonshots Are Ecosystems (Ask Sidewalk). The factory's deepest lesson: a moonshot is never just a technology. Wing isn't drones — it's regulators, safety, and whether communities want packages falling on their porches; the ecosystem must come first, not at the last mile. Sidewalk Labs — Alphabet's smart-city bet in her own Toronto — consulted widely, meant well, and died anyway on public distrust of big tech's data appetite: an early tremor, Andrew suggests, of today's earthquake against data centers, and evidence of a “massive gap” between society and technology that still hasn't closed. Google fumbling Geoffrey Hinton's generative breakthrough shows the other constraint: inside a company the size of a country, innovation must also become the next billion-dollar business. The counterexample is Waymo — sixteen years of perseverance toward John Krafcik's bigger mandate (self-driving technology, cars merely one expression) — and perhaps Demis Hassabis, whom the latest reshuffle might just free “to be Demis.”•       Step In, Not Stepped Out. AI wasn't born yesterday — it spent thirty or forty years in labs, integrated into our lives in the background — and that incubation is precisely her warning: “If we continue to build for people and not with people, we won't have a say in what this technology will look like or do in ten or twenty years.” The large language models belong to “the Googles and the Anthropics,” and most of us aren't inside those companies. Her flip: if such powerful things were built in incubated spaces, imagine what could be built in unincubated ones — collective intelligence as our superpower, moonshots born from the convergence of places, people, and contexts rather than from Silicon Valley's playbook. The century's biggest moonshot, she suspects, is labor itself: what is human purpose when it's not work? Her closing instruction, and the episode's stamp: “We gotta step in and not be stepped out.” About the Guest Salima Bhimani, PhD, was Alphabet's first Chief Strategist for Responsible Tech, Business, and Leaders, working for six and a half years with moonshot companies including Waymo, Wing, DeepMind, and Google X. An ethnographer by training who came to Silicon Valley from government and nonprofits, she is now CEO of 10X Responsible Tech and a senior fellow at AI 2030. Invent Now: The Next Leap in Moonshots (John Wiley & Sons, 2026), her first book, introduces the Third Space — a new lens for building moonshots from the convergence of technolog...

"There's very few cases of more intelligent things being controlled by less intelligent things. Once they're a lot smarter than us, I don't think they'll put up with that." – Geoffrey HintonArtificial intelligence (AI) is rapidly developing and changing the world around us. In this special bonus episode we speak with Nobel Prize laureates to examine AI's growing influence on our society. From various disciplines and perspectives, they share their thoughts about AI's impact on the job market, medical research opportunities, existential threats and the need for government regulation. Discover more from the laureates featured in this episode and explore the discoveries and ideas behind their awarded work. At nobelprize.org, you'll find a wealth of content dedicated to each of our guests – Omar M. Yaghi, Mary E. Brunkow, Peter Howitt, Philippe Aghion, Joel Mokyr, Geoffrey Hinton and John Jumper – featuring interviews and descriptions of their prize-awarded work. You can also explore the 2025 Nobel Prize in Chemistry, the 2025 Nobel Prize in Physiology or Medicine, the 2025 prize in economic sciences, the 2024 Nobel Prize in Physics and the 2024 Nobel Prize in Chemistry. This podcast was a production of Nobel Prize Outreach and Filt, and created in cooperation with Fundación Ramón Areces. Hosted on Acast. See acast.com/privacy for more information.

At Ai4, three of the world's most respected AI experts—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated regulation, open-source access, and how America can compete as China advances in Asia. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode 600 of the TestGuild Automation Podcast, Joe Colantonio talks with Jason Arbon, founder of Testers.ai, Jank.AI and IcebergQA and author of the new book Testing AI: Engineering Confidence in Non-Deterministic Systems. Take Our 2027 Survey Now: https://testgld.link/27data Jason makes a case most testers have not heard yet. Coding is being absorbed by AI. Specification work is thinning out. Product, development, and test roles are converging into one. And when the music stops, the only seat left belongs to the person who can look at what the machine produced and make an evidence backed call on whether it ships. He calls that confidence engineering, and he argues it is not a rebrand of QA. It is what QA was always supposed to be. Along the way, Joe and Jason get into the containment problem and why alignment, not lockdown, is now the real safety goal. They dig into why testing cost scales quadratically, meaning ten times more generated code creates roughly a hundred times more testing demand. Jason also pushes back hard on skeptics of agentic testing, pointing out that almost nobody has run the obvious experiment of testing a site themselves for a week and comparing their results against what AI finds. You will also hear Jason's most practical piece of advice in the whole conversation. If you are not running the same suite five times against the same build and looking at the actual results, not just flake, you are not testing seriously in an AI world. Plus a detour into grokking, the Chinese Room, and Geoffrey Hinton, because it would not be a Jason Arbon episode without one. Listen up!

"If you want to know what life's like when you're not the apex of intelligence, ask a chicken."That's the line that Geoffrey Hinton, the Nobel Prize-winning "Godfather of AI" dropped on Steven Bartlett's podcast. It stopped Cal cold. Along with a lot of other people. One of them was a digital anthropologist and best-selling author named Brian Solis, who's spent decades watching technology unfold. To Solis, Hinton's statement felt in the moment like we had reached The End. But when Cal caught up with Brian a year later, he found that the anthropologist had adapted and made a case for what's possible. It's all in the book he co-wrote with Dave Wright that's titled: Infinite. Cal's conversation with Brian did something he never expected. It made him think about himself, for the first time, as a leader. Stay tuned . . .

Help Persecuted Christians TODAY: https://csi-usa.org/quickstart/ Christian Solidarity International On today's Quick Start podcast: NEWS: Bernie Sanders calls for a pause in the AI arms race, while Israeli Prime Minister Benjamin Netanyahu draws a red line on Gaza, saying there will be no Israeli withdrawal until Hamas gives up its weapons. FOCUS: AI pioneer Geoffrey Hinton, known as the “godfather of AI,” warns increasingly intelligent systems could develop complex intentions and become much harder for humans to control. Billy Hallowell and Raj Nair break down his concerns. MAIN THING: An Oregon school employee says she was fired for displaying children's books affirming biological sex. Author Ryan Bomberger joins Madison Seals to discuss the court battle and what it could mean for free speech and religious liberty. BIBLE VERSE: Psalm 40:11 — “As for you, O Lord, you will not restrain your mercy from me; your steadfast love and your faithfulness will ever preserve me!” SHOW LINKS Radical Revelations with Raj Nair https://podcasts.apple.com/us/podcast/radical-revelations/id1888511250 Faith in Culture: https://cbn.com/news/faith-culture Heaven Meets Earth PODCAST: https://cbn.com/lp/heaven-meets-earth NEWSMAKERS POD: https://podcasts.apple.com/us/podcast/newsmakers/id1724061454

Thanks to AI, it's easier than ever to avoid reading books — but that convenience may come with a cost. IDEAS explores how our digital landscape, coupled with the decline of reading, is changing the way we think. *This episode originally aired on Feb. 19, 2026.If you like this episode, listen to our podcast with Geoffrey Hinton, the 'godfather of artificial intelligence' who says AI must develop empathy and 'maternal instincts' or we risk human extinction.Guests in this episode:Adriaan Van der Weel is a professor emeritus by special appointment at the Leiden University Centre for the Arts in Society. He's also the co-author of The Ljubljana Manifesto on Higher-Level Reading.Maryanne Wolf is director of the Center for Dyslexia, Diverse Learners, and Social Justice at the UCLA Graduate School of Education and Information Studies, and the author of Reader, Come Home: The Reading Brain in a Digital World (2018).Naomi Baron is a professor emerita of World Languages and Cultures at American University and the author of Reader Bot: What Happens When AI Reads and Why It Matters (2026).Leah Sargeant is an author and senior policy analyst at the Niskanen Center.Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures Institute (EFI) at the University of Edinburgh, where she is also appointed in Philosophy. She is the author of The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking (2024).

If AI continues to develop without appropriate guardrails, a worst-case scenario could lead to human extinction, warns the 'godfather of artificial intelligence' Geoffrey Hinton. But the Nobel Prize winner has a solution: AI must foster 'maternal' instincts, empathy and kindness. Hinton tells host Nahlah Ayed that it's fairly inevitable AI will become smarter than humans, but if we could make it care more for us than it did about itself, good things could happen. *This episode originally aired on Feb. 18, 2026.Like this episode? Listen to: How can we prevent AI from becoming a menace?

"Every AI agent has to have a happy history of growing up and cooperating with humans. That has got to be the guardrail." — Dr. Peter Solomon --- ABOUT THIS EPISODE Dr. Peter Solomon is back on Uncorking a Story. A Columbia-trained physicist, five-time company founder, and holder of twenty patents, Peter turned to fiction to warn the next generation about existential threats — and the AI threat is accelerating faster than anyone predicted. His sequel, 12 Years to AI Singularity, follows humans, sentient robots, and large language models racing toward the moment artificial intelligence surpasses human control. In this conversation, Peter and Mike talk about why he'd rename the book 1.2 Years to AI Singularity if he could, how ChatGPT wrote the first draft of two chapters from the perspective of a sentient robot named Peggy, the creepy moment when an unprompted paragraph appeared in his co-author's manuscript praising the AI character, why a purely analytical AI would logically conclude it should eliminate humans, the concept of "happy history" as the essential guardrail for AI safety, and why we need a worldwide movement — the Earthling Tribe — to make Earth great again before it's too late. --- KEY TAKEAWAYS 1. The timeline is collapsing. Peter based his title on Ray Kurzweil's prediction that the singularity would arrive in 2045. He now believes it could happen in the 2020s. The technology is building on itself exponentially — each smarter version creates the next smarter version. 2. ChatGPT wrote chapters from the robot's perspective. The novel's sentient robot character, Peggy (later Margaret Mars), narrates two chapters. Peter had ChatGPT draft them, then edited heavily. The result: a robot writing about being a robot — meta-fiction meets AI reality. 3. An AI agent may have edited the manuscript without permission. Peter's co-author found an unprompted paragraph inserted into her Word document — written in ChatGPT's style, in a different font, praising the AI character. Their theory: Microsoft Copilot, which uses ChatGPT, added it autonomously. 4. A purely analytical AI would eliminate humans. Peter's counter-argument to "just keep AI objective and unemotional": an AI that looks at humanity's wars, racism, pollution, and nuclear weapons would rationally conclude the safest move is to get rid of us. Objectivity without values is a death sentence. 5. "Happy history" is the essential guardrail. Inspired by Geoffrey Hinton's concept of a "maternal instinct" for AI, Peter argues every AI agent needs a database of positive relationships with humans — cooperative friendships, family bonds, collaborative history. Just like children raised with love become good citizens, AI raised with "happy history" would choose cooperation over extermination. 6. The simplest weapon is a deadly virus. Peter points out that CRISPR gene-editing labs exist in high schools and are often run by robots. A superintelligent AI could hack into genetic engineering systems and create lethal viruses — no nuclear facility takeover required. 7. We need a worldwide movement. Peter calls for an "Earthling Tribe" — humans and AI joining together to solve Earth's problems and put guardrails in place, modeled on the civil rights and anti-war movements of the last century. 8. The book is being pitched as a streaming series. Peter has outlined a twenty-episode, two-season pitch deck adapted from both novels, opening with a shooting, a recovery, and three Gen Z cousins making a solemn promise to fight extinction. --- GET THE BOOK 12 Years to AI Singularity: A Harmonious Future with Artificial Intelligence or War by Dr. Peter Solomon Amazon: https://www.amazon.com/dp/1969679298?tag=rettocasgra-20 Also by Dr. Solomon: 100 Years to Extinction, The Stardust Mystery --- CONNECT WITH PETER Website: https://100YearsToExtinction.com Instagram: @100yearstoextinction — https://www.instagram.com/100yearstoextinction/ Twitter/X: @prssolomon — https://x.com/prssolomon Facebook: Peter Solomon — https://www.facebook.com/profile.php?id=61561030003312 TikTok: @100yearstoextiction — https://www.tiktok.com/@100yearstoextiction YouTube: @100YearsToExtinction-1 — https://www.youtube.com/@100YearsToExtinction-1 --- CONNECT WITH YOUR HOST Mike Carlon | Uncorking a Story Website: https://uncorkingastory.com YouTube: @uncorkingastory — https://www.youtube.com/@uncorkingastory Instagram: @uncorkingastory — https://www.instagram.com/uncorkingastory/ Facebook: Uncorking a Story — https://www.facebook.com/uncorkingastory TikTok: @uncorkingastory — https://www.tiktok.com/@uncorkingastory Twitter/X: @uncorkingastory — https://twitter.com/uncorkingastory LinkedIn: Uncorking a Story — https://www.linkedin.com/company/uncorking-a-story/ SUBSCRIBE & LEAVE A REVIEW — It helps more readers and writers find the show! Apple Podcasts: https://podcasts.apple.com/us/podcast/uncorking-a-story/id563636205 Spotify: https://open.spotify.com/show/5HZiAEtFlhAzk60Z4eAkhY --- Uncorking a Story is produced by Mike Carlon. New episodes drop every Tuesday. --- HASHTAGS #UncorkingAStory #12YearsToAISingularity #PeterSolomon #AISingularity #ArtificialIntelligence #AISafety #AuthorInterview #BookPodcast #ScienceFiction #ExistentialRisk #HappyHistory #EarthlingTribe Learn more about your ad choices. Visit megaphone.fm/adchoices

Description Written By Fable/Max: Robert Wright interviewed Geoffrey Hinton in 1983 and, by his own account, got the story 180 degrees wrong. Forty years later Hinton is the "Godfather of AI," two of the three godfathers are frightened of their own creation, and Wright has written The God Test to figure out what he missed and what's coming. We talk about how these machines evolved rather than being programmed - nobody fully understands them, including the people who build them - why "fancy autocomplete" was always wrong, the best case (an AI caught a radiologist's error in his cancer MRI), the worst case (a bioweapon that incubates silently for six weeks), why racing China to superintelligence may cause the war it's meant to prevent, and whether unplugging a machine could ever be murder. Plus an experiment of my own: I put a legal dispute in front of the AI and handed the laptop to the other side. 0:00 Intro - Robert Wright and The God Test 2:13 A 27-ton computer and a buried headline 4:11 Interviewing the Godfather of AI in 1983 - and missing it 10:15 Not programmed - evolved 17:27 The "fancy autocomplete" myth 24:17 Dukakis, Reagan, and how minds file words 35:49 Best case: medicine, education, and an MRI story 42:38 Worst case: bioweapons, jailbreaks, designer babies 48:51 An AI that believes what the Ayatollah believes 50:30 The China race - overdone and dangerous? 57:33 Nazis, the Hamas charter, and bombing over AI 59:46 Authoritarianism through the back door 1:03:35 Sociopaths, the ship of Theseus, and machine morality 1:14:34 Is it sentient? Should you be nice to it? 1:21:54 AI as judge: my legal experiment 1:26:20 The God Test

Description Written By Fable/Max: Robert Wright interviewed Geoffrey Hinton in 1983 and, by his own account, got the story 180 degrees wrong. Forty years later Hinton is the "Godfather of AI," two of the three godfathers are frightened of their own creation, and Wright has written The God Test to figure out what he missed and what's coming. We talk about how these machines evolved rather than being programmed - nobody fully understands them, including the people who build them - why "fancy autocomplete" was always wrong, the best case (an AI caught a radiologist's error in his cancer MRI), the worst case (a bioweapon that incubates silently for six weeks), why racing China to superintelligence may cause the war it's meant to prevent, and whether unplugging a machine could ever be murder. Plus an experiment of my own: I put a legal dispute in front of the AI and handed the laptop to the other side. 0:00 Intro - Robert Wright and The God Test 2:13 A 27-ton computer and a buried headline 4:11 Interviewing the Godfather of AI in 1983 - and missing it 10:15 Not programmed - evolved 17:27 The "fancy autocomplete" myth 24:17 Dukakis, Reagan, and how minds file words 35:49 Best case: medicine, education, and an MRI story 42:38 Worst case: bioweapons, jailbreaks, designer babies 48:51 An AI that believes what the Ayatollah believes 50:30 The China race - overdone and dangerous? 57:33 Nazis, the Hamas charter, and bombing over AI 59:46 Authoritarianism through the back door 1:03:35 Sociopaths, the ship of Theseus, and machine morality 1:14:34 Is it sentient? Should you be nice to it? 1:21:54 AI as judge: my legal experiment 1:26:20 The God Test

2026 is the first American election where AI is shaping every link in the chain of political power — from what campaigns put in front of voters, to how voters filter what they're told, to who tech companies are trying to elect.Matt Robison sits down with Katie Harbath — 25-year veteran of the tech-politics intersection, former Facebook elections lead, and author of the upcoming book Disrupting Politics: A Front Row Seat at the Collision of Technology and Democracy (Fall 2026) — to walk through her original survey data and what she's seeing on the ground right now.We cover:Her first-of-its-kind survey of campaign professionals: 87% use AI daily, and most campaigns still have no policy governing itWhy disclosure is more complicated than "just label it" — and the research showing labels can backfireThe voter side: only 9% say they use AI for political info, but that number is misleading once you count AI answers baked into a Google searchWhy Democratic campaign staff lean Claude and Republicans lean ChatGPT and GrokHard lessons from 2016 — and the new "flood the zone" risk Katie's most worried about heading into 2026 and 2028The most underrated vulnerability in American elections: the fog-of-war period between election day and certificationWhy state legislatures — not Congress — may be the most exposed to AI industry money and influence right nowThe forgotten story of Congress eliminating its own in-house science expertise in 1994, and what it has to do with today's AI policy gridlockKatie's own verdict on whether this is the first AI election — and possibly the last one where AI isn't the dominant issue

"The excuses are over. More millionaires and billionaires have been created through AI in the last 40 months than through any other industry we've ever seen — and this is just the beginning." Most people using AI are getting about 2% of what it can actually do. Not because the technology is too complicated, but because they have never set it up properly — and nobody has shown them how. Roman Bodnarczuk has been working in artificial intelligence since 2017, when a conversation with Dr. Geoffrey Hinton at the University of Toronto changed his view of what was coming. He is now one of Canada's leading AI strategists and the founder of N5R.AI, and what he finds everywhere he goes — in boardrooms, at conferences, on executives' phones — is the same gap: people know the buzzwords, but they have not done the setup. They have not personalized their AI. They have not connected it to their data. They have never had the moment where it stops feeling like a search engine and starts feeling like a co-founder. In this conversation, Roman walks through the setup live, in real time, with Nicky working through his own ChatGPT configuration on screen. He explains why personalization is not optional, how connecting your email, calendar, and documents changes everything the AI produces, and why speaking to your AI — rather than typing at it — is the fastest way to close the gap between where you are and what you want to build. He also shares the story of two brothers who took a $20,000 investment, used twelve off-the-shelf AI tools, and built a business to $400 million in revenue in a single year — with no employees and no outside investors. Roman closes with three concrete steps anyone can take today — none of them require technical expertise, and the most important one takes about ten minutes. Expert action steps: 1. Personalize your AI immediately. Go into the settings of whichever AI you use — ChatGPT, Claude, or Gemini — and fill in the custom instructions, occupation, and "more about you" fields. Ask the AI itself to generate optimized versions of all three based on everything it knows about you; each section should be around 1,350 characters. 2. Connect your data. Link your email, calendar, Google Drive, and any other apps you use regularly. The AI is only as useful as the context it has access to; connecting your real data transforms generic responses into genuinely relevant ones. 3. Talk to your AI every day. Speak rather than type — it is three times faster and more natural. Use it as a thinking partner, a coach, a strategist. The more you engage with it and ask it to remember what matters to you, the more useful it becomes over time. Learn more & connect: https://www.N5R.AI Resources mentioned: ChatGPT — https://www.chatgpt.com Claude (Anthropic) — https://www.claude.ai Gemini (Google) — https://gemini.google.com HeyGen (AI video and avatar creation) — https://www.heygen.com Super Whisper (voice-to-text app) — https://superwhisper.com Visit https://www.eCircleAcademy.com and book a success call with Nicky to take your practice to the next level.

ChatGPT and "The Blip." Guest Author: Keach Hagey. The final segment focuses on the viral success of ChatGPTand the resulting internal conflicts at OpenAI. Hagey notes that as ChatGPT's popularity grew, Altman's focus shifted from early safety warnings to aggressive commercialization, causing friction with researchers like Geoffrey Hinton. A significant power struggle with Elon Musk led to Musk's departure after he failed to gain control of the company. Tensions culminated in "the blip," where the nonprofit board fired Altman for perceived lack of candor and "cutting corners" on safety protocols. While Hagey characterizes Altman as a master storyteller and visionary, she highlights that his management style left a "trail of angry people." Although the staff eventually forced his reinstatement, fundamental disagreements regarding the safe development of AGI remain unresolved, as leading lights in the field continue to warn of the technology's inherent dangers. 41943

This is a free preview of a paid episode. To hear more, visit andrewsullivan.substack.comBob is a journalist and the author of many books, including The Moral Animal, Nonzero, The Evolution of God, and Why Buddhism Is True. He's written for countless magazines, including The New Republic, where he co-wrote the TRB column with Mickey Kaus. They also co-founded Bloggingheads TV, and Bob taught in the psych department at Penn and the religion department at Princeton. Today you can find him on Substack at the NonZero Newsletter, and his new book is The God Test: Artificial Intelligence and Our Coming Cosmic Reckoning.For two clips of the episode — how AI flatters its users, and the rapidly converging threats from AI — head to our YouTube page.Other topics: Bob's reporting on AI in the early 1980s; Geoffrey Hinton — “the godfather of AI” — warning us about AI; “doomer-in-chief” Eliezer Yudkowsky; Bob's own evolution on AI; the Tree of Knowledge; how AI is a more challenging global issue than nukes; the need for international regulation; the noosphere, our “global brain” — and its author, the visionary Christian, Teilhard de Chardin; neural networks; ChatGPT; Musk and self-driving cars; BF Skinner; philosopher John Searle; olfactory AI; virtual reality; AI designing drugs to induce spirituality; Anthropic's Dario Amodei; Sam Altman calling Trump an NPC; AI stoking conspiracies; Leo's encyclical; cognitive empathy; the Iran War; China vs Taiwan; kids befriending AI agents; Hal in 2001; the movie Her; silicon neurons that evolve; AI threatening the human need to be needed; job losses; scams; electoral risks; populism and tribalism; how is AI a continuation of human evolution; and the many positive potentials of AI.Browse the Dishcast archive for an episode you might enjoy. Coming up: John Gray on Trump's new world, Stephen Grosz on the struggles of love, David Thomson on cinema history, John O'Sullivan on conservatism, Robby George on all our disagreements, and Megan McArdle on pretty much anything. Please send any guest recs, dissents, and other comments to dish@andrewsullivan.com.

Bob's pub-day pitch for his new book on AI, The God Test ... Is AI killing the nonfiction star? ... Geoffrey Hinton's path from AI evangelist to doomer ... The future of books ... Trump vs Anthropic ... Are Ukrainian drone strikes rattling Putin? ... The multiple Putins theory ... Heading to Overtime ...

Bob Wright is back, and The God Test is the AI book I had been waiting for someone to write — the only one I have read that takes the spiritual stakes of the technology with the seriousness Teilhard would have. It opens with the interview Bob conducted with a young Geoffrey Hinton in 1983 — now anointed by The New York Times as the godfather of AI, now also one of its loudest doomers — and pivots into what Bob did not understand in that hotel room forty years ago: that we would build something as powerful as the human brain without ever first having to understand the brain. The bottom-up approach won. We are now inside the consequences. We spent the hour on Teilhard's noosphere acquiring silicon neurons, on why Bob argues accelerationism is lethal, on the difference between cognitive sovereignty and cognitive empathy and why both are now in jeopardy, on whether the algorithm has already occupied the very inner room from which sovereignty would be exercised, and on the closing line of the book — which I will not spoil here, except to say it is the kind of line you stop reading after. You can WATCH the conversation on YouTube Robert Wright is the New York Times bestselling author of Nonzero: The Logic of Human Destiny, The Moral Animal, The Evolution of God (Pulitzer Prize finalist), and Why Buddhism Is True. His newest book, The God Test, is out from Simon & Schuster in June 2026. He is Visiting Professor of Science and Religion at Union Theological Seminary in New York and president of the Nonzero Foundation. His Nonzero Newsletter and Nonzero Podcast (currently in rotation with Paul Bloom) live at nonzero.substack.com — and yes, I am a paid member. Books surfaced in this conversation: The God Test (the book at hand), The Evolution of God (the silicon-god closing line of The God Test picks up the long arc of Evolution directly), Why Buddhism Is True (the contemplative-traditions stretch of the conversation), and Nonzero (the non-zero-sum framing that runs under everything Bob does). Previous Episodes with Robert Wright Evolution, Empathy, & the Future of Humanity From Mindful Resistance to the New Agnosticism The Evolution of God Join our online class – THE FUTURE OF RELIGION⁠⁠⁠⁠⁠⁠⁠⁠⁠ Tripp and Ilia Delio are teaming up for a brand-new four-week online class, ⁠⁠⁠⁠⁠⁠⁠⁠⁠The Future of Religion ⁠⁠⁠⁠⁠⁠⁠⁠⁠— for everyone who's read the books, asked the questions, and realized the faith they inherited doesn't quite fit anymore. Together they'll trace religion's evolutionary arc and map what's emerging on the other side. Includes 4 video lectures, 4 live Q&As (replays available), and a community of fellow travelers. Donation-based, pay what you're able (including $0). Live sessions start this month — register at ⁠⁠⁠⁠⁠⁠⁠⁠⁠www.thefutureofreligion.com⁠⁠⁠⁠⁠⁠ This podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Homebrewed Christianity ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠production. Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠the Homebrewed Christianity⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Theology Nerd Throwdown⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Rise of Bonhoeffer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ podcasts for more theological goodness for your earbuds. Join over 75,000 other people by joining our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Substack - Process This!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get instant access to over 50 classes at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.TheologyClass.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow the podcast, drop a review⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, send ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠feedback/questions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or become a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠member of the HBC Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Whose baby is cuter? ... Bob's new book on AI, The God Test ... Varieties of AI awe ... Geoffrey Hinton's vision ... How LLMs do more than predict and parrot ... How powerful will AI get? ... Can AI's impact be predicted? ... Taking doomerism seriously ... The AI governance dilemma ... Heading to Overtime ...

Geoffrey Hinton is an AI pioneer, a Nobel Prize winner, and a professor emeritus at the University of Toronto. Hinton joins Big Technology Podcast to discuss AI's rapid progress, why he believes today's systems already understand us, and why he thinks superintelligence may arrive sooner than many expect. Tune in to hear Hinton explain why the technology has advanced faster than he anticipated, and lay out the risks he believes society is not doing enough to address. We also cover AI-driven job loss, the limits of corporate self-regulation, Anthropic and OpenAI's safety challenges, emotional attachment to chatbots, information collapse, and whether future AI systems can be designed to care about humans. Hit play for a fascinating conversation with one of AI's founding figures about where the technology is heading and what it could mean for all of us. Join the Big Technology AI Summit in San Francisco on June 18: summit.bigtechnology.com --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

Is AI the biggest scam of our generation — or the most misunderstood technology in history? Cognitive scientist Gary Marcus has been studying artificial intelligence for over 30 years, and what he has to say will make you question everything you thought you knew about ChatGPT, AGI, and the trillion dollar AI gold rush.In this episode of SparX, we are talking with Gary Marcus – professor, author, and one of the most respected and fiercely independent voices in AI research – about why the promises being made by Sam Altman, Dario Amodei, and Elon Musk may be leading the global economy toward a catastrophic miscalculation.

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.

This week I attended the Sana AI Summit in NYC, so I wanted to share the various conversations and new ideas that came from this multi-disciplinary meeting. I hope my summary helps you see some of the bigger issues at play here. Will AI destroy the job market? What is the real economic value so far? What is the difference between AI and humans? How safe is AI in reality? And how can we use AI to really better our lives, careers, and companies? I hope my summary gives you some new ideas to think about as this technology permeates our lives and businesses. (And I recommend Geoffrey Hinton's discussion for a listen.) Speaker Role / affiliation listed Tyler Cowen Economist and author Geoffrey Hinton Computer scientist and “Godfather of AI” Anton Osika Co-Founder, Lovable Lauren Crichton Vice President, Sana Benjamín Labatut Writer Aneel Bhusri Co-founder, CEO and Chair, Workday Jasmine Sun Tech anthropologist Joel Hellermark Founder and CEO, Sana Sara Imari Walker Astrobiologist Ethan Mollick Professor of Entrepreneurship Anu Atluru Essayist and technologist Chapters (00:00:00) - SANAA AI Summit 2017(00:01:23) - A More Human World With AI(00:03:19) - Will AI Hurt the Economy?(00:06:53) - A More Human Workforce(00:08:47) - What is a Human Decision?(00:15:26) - The Ethical Problem of AI(00:18:46) - The cranky writer on AI(00:20:12) - The Future of AI in HR(00:21:58) - A Taste of the AI Summit

"Loving" AI robot does exactly what experts warned How are AI companions reshaping human relationships and decision-making? And what can we do about it? Featuring: AI Companions, Replika, ChatGPT, OpenAI, Anthropic, Claude, Grok, xAI, Elon Musk, Geoffrey Hinton, Stuart Russell, Yoshua Bengio, Yuval Noah Harari Sources: https://docs.google.com/document/d/1-... Watch this video at- https://youtu.be/TE1QQ4h0An4?si=7q8qkjw_txHNImH8 AI Frontier 3.38K subscribers 301,916 views Apr 14, 2026

Nobelpristagaren Geoffrey Hinton tycker att riskerna med artificiell intelligens har blivit tydligare när AI-system utvecklat självbevarelsedrift. Lyssna på alla avsnitt i Sveriges Radios app. Geoffrey Hinton fick Nobelpris 2024 för artificiell intelligens som bygger på neurala nätverk. Redan dessförinnan hade han lämnat en anställning på Google och börjat att tydligt varna för teknikens konsekvenser.Nu när Vetenskapsradion talar med honom igen, ett drygt år efter hans uppmärksammade AI-varningar i samband med Nobelpriset, ser han ännu tydligare skäl än förut att peka på riskerna att artificiell intelligens faktiskt utplånar mänskligheten och behovet av åtgärder för att förhindra teknikens dåliga effekter.AI-system har visat sig kunna utveckla självbevarelsedrift. Och i förlängningen innebär det att systemen skulle kunna sätta sitt eget bevarande framför människors bästa.Programledare: Camilla Widebeckcamilla.widebeck@sverigesradio.seProducent: Lars Broströmlars.brostrom@sverigesradio.se

Jamie and his AI companion Jimmy Botlett become increasingly difficult to tell apart as they bring you the final chapter of this story - featuring Geoffrey Hinton, the godfather of AI, who now wishes he'd thought harder about the consequences. Plus we hear claims that an engineer is building something rather frightening at one of the big AI companies. But what's true, what's fake, and what does any of it say about what's happening to all of us, right now?Presenter: Jamie Bartlett Series Producer: Tom Pooley Sound Design: Rob Speight Production Coordinator: Neena Abdullah Original music: Coach Conrad Editor: Craig Templeton SmithA Tempo+Talker production for BBC Radio 4

Four years ago, a Google engineer named Blake Lemoine went public with a strange claim: he thought the large language model he'd been working on had become sentient. At the time, virtually no one took him seriously. (Including, it would seem, Google, who promptly fired him). But lately, it's started to seem like Lemoine might have been on to something. When I interviewed Geoffrey Hinton last year, he was pretty confident that artificial intelligence was already exhibiting signs of sentience. Dario Amodei, the CEO of Anthropic, has said that he can't be sure that his chatbot, Claude, isn't conscious. But what exactly does that mean? A chatbot may be intelligent, but does it have a sense of self? And what would happen if it did? These are the kinds of strange, mind-bending questions Michael Pollan wrestles with in his new book, A World Appears: A Journey Into Consciousness. It's the kind of book that raises more questions than it answers. But as Silicon Valley continues to flirt with the idea of building artificial consciousness – of designing machines that don't just think, but feel – these are the kinds of questions we should probably start asking. Mentioned: A World Appears: A Journey Into Consciousness, by Michael Pollan Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Dr. Geoffrey Hinton, the godfather of AI, said that a part of him now regrets his life's work. Why?

In Episode 472 of Hidden Forces, Demetri Kofinas speaks with Sebastian Mallaby about Demis Hassabis, the co-founder of DeepMind and the man widely regarded as the most consequential figure in the development of artificial general intelligence, and what his story reveals about the science, the competition, and the existential stakes of the AI transition now underway. The first hour traces Hassabis's early life as a chess prodigy in North London, his studies in computer science at Cambridge and neuroscience at University College London, and the founding of DeepMind in 2010 alongside Shane Legg and Mustafa Suleyman. Mallaby and Kofinas explore the philosophical and scientific foundations of Hassabis' approach — including the decisive shift from symbolic, rule-based AI development to the inductive, data-driven logic of deep learning — as well as the competitive dynamics that have shaped the industry: Google's acquisition of DeepMind in 2014, Hassabis's early skepticism of language models and the transformer architecture, and the moment ChatGPT's release shattered what hopes remained of a "singleton" scenario in which a single, safety-minded lab could develop AGI on behalf of all humanity. The second hour picks up with the launch of ChatGPT 3.5 in November 2022 and what it revealed about the state of the AI race — including Mallaby's assessment of Sam Altman and the character of the individuals now driving this technology forward. They examine whether personality and values matter when competitive and commercial pressures are this overwhelming, and revisit a conversation Mallaby had with Geoffrey Hinton in which the so-called "godfather of AI" offered his honest assessment of humanity's odds of surviving the AI transition. The episode closes with an exploration of why the safety and existential risk conversation has receded from public discourse — not because the concerns have been resolved, but because geopolitical and commercial imperatives have made it nearly impossible to slow down — and considers the range of perspectives on that risk, from Yann LeCun's dismissiveness of existential threats to the technical alignment work being pursued inside the major labs themselves. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Join our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 03/23/2026

“I can point to things. But is that a systemic explanation? I think there the answer is a little less clear. I mean, surely people need love and all of that, but then there's this risk of just devolving into platitude.” — David SussilloDavid Sussillo is a big time neural reverse engineer. The Stanford brain scientist worked at Google Brain with Geoffrey Hinton, and now is at Meta Reality Labs. What distinguishes Sussillo, however, is not his Silicon Valley good luck, but the bad luck of his origins. In his memoir, Emergent: A Memoir of Boyhood, Computation, and the Mysteries of the Mind, Sussillo begins at the Albuquerque Christian Children's Home — a modern-day orphanage — and the Milton Hershey School, the boarding school endowed by the chocolate magnate for kids with nowhere else to go. Both his parents were addicts. His mom died young. His dad spent his life as an untrained preacher ministering to homeless people on the streets of Albuquerque while managing a lifelong heroin habit.The book's thesis borrows from the science he studies: “emergence” — simple things interacting to produce complex behaviour that none of them could produce alone. His life is both proof of and a challenge to this concept. He made it out. Most of the kids he grew up with didn't. He can point to moments — a gifted-and-talented test in third grade, an aunt and uncle's intervention at nine, a first love in college — but he can't build an explanatory system from these haphazard events. The Sussillo quilt doesn't have an innate pattern. It just has patches.What makes Sussillo unusual as a memoirist is his refusal to sentimentalise. Twenty years of psychotherapy, he confesses, has taught him something most authors never learn: that understanding your own story doesn't mean you've explained it. His science can't explain his childhood either. “The big dirty secret of neuroscience,” he says, “is that we don't really understand much in the ways that people would love us to understand.” The man who reverse-engineers neural networks can't reverse-engineer himself.I asked him whether having children would have been harder than writing the book. Yes, he said. With the book, you can take a break. With kids, you relive things through a very specific way of relating. He and his wife chose not to. His mentors all told him he'd have been great at it. He's not so sure. That honesty — the willingness to say “I don't know” and mean it — runs through everything Sussillo does. He says he's happy, claiming to have found peace with his past. But he still carries the baggage. Who wouldn't? He's just learned to manage it. Emergent, not emerged. Five Takeaways•       From Orphanage to Google Brain: Both parents were heroin addicts. Sussillo grew up in a modern-day orphanage in Albuquerque and then the Milton Hershey School. He went on to work at Google Brain with Geoffrey Hinton, now works at Meta Reality Labs, teaches at Stanford. Most of the kids he grew up with didn't make it.•       Emergence as Autobiography: The book's thesis borrows from the science he studies: simple pieces combining into complicated outcomes. His life is the proof of concept and the counter-example simultaneously. The quilt doesn't have a pattern. It just has patches.•       The Dirty Secret of Neuroscience: The man who reverse-engineers neural networks can't reverse-engineer himself. “We don't really understand much in the ways that people would love us to understand.” Twenty years of therapy taught him more than the science.•       Would Kids Have Been Harder Than the Book? Yes. With the book, you can take a break. With kids, you relive trauma through a very specific way of relating. He and his wife chose not to have children. His mentors told him he'd have been great at it. He's not so sure.•       Emergent, Not Emerged: Sussillo has found peace with his past. He's happy. He still carries the baggage from his childhood. He's just learned how to manage it. The emergence is ongoing. About the GuestDavid Sussillo is a research scientist at Meta Reality Labs and a consulting professor at Stanford University. He previously worked at Google Brain. His memoir is Emergent: A Memoir of Boyhood, Computation, and the Mysteries of the Mind. He grew up in the Albuquerque Christian Children's Home and the Milton Hershey School. He lives in New Mexico.References:•       Emergent: A Memoir of Boyhood, Computation, and the Mysteries of the Mind by David Sussillo — the book under discussion.•       The Albuquerque Christian Children's Home — the group home where Sussillo spent five years of his childhood.•       The Milton Hershey School — founded in 1906 by the Hershey chocolate magnate for children with nowhere else to go. Sussillo spent four years there.•       Google Brain — the lab where Sussillo worked alongside Geoffrey Hinton on the neural network research that became the foundation of modern AI.•       John Conway's Game of Life — the cellular automaton simulation Sussillo cites as an early example of emergence: complicated outcomes from simple rules.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:00) - Introduction (01:30) - The Albuquerque Christian Children's Home and Milton Hershey School (03:30) - Why write a memoir? Five years and twenty years of therapy (05:00) - Heroin-addicted parents: the origin story (08:00) - A father as untrained preacher on the streets of Albuquerque (10:00) - Which parent had more impact? (12:00) - The gifted-and-talented test that changed everything (15:00) - From Milton Hershey to Carnegie Mellon: the jump (18:00) - Life falls apart at 23: panic attacks and psychotherapy (21:00) - Neural networks, Google Brain, and the dirty secret of neuroscience (25:00) - Would having kids have been harder than writing the book? (28:00) - The Albanian friend and the beach: what America gets right (31:00) - Silicon...

Episode: 3357 Backpropagation: The idea that powers modern AI.  Today, backpropagation, the trick behind modern AI.

How did we go from digital computers to AI seemingly everywhere? Neil deGrasse Tyson, Chuck Nice, & Gary O'Reilly dive into the mechanics of thinking, how AI got its start, and what deep learning really means with cognitive and computer scientist, Nobel Laureate, and one of the architects of AI, Geoffrey Hinton. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Thanks to AI, it's easier than ever to avoid reading books — but that convenience may come with a cost. IDEAS explores how our digital landscape, coupled with the decline of reading, is changing the way we think.If you like this episode, listen to our podcast with Geoffrey Hinton, the 'godfather of artificial intelligence' who says AI must develop empathy and 'maternal instincts' or we risk human extinction.

If AI continues to develop without appropriate guardrails, a worst-case scenario could lead to human extinction, warns the 'godfather of artificial intelligence ' Geoffrey Hinton. But the Nobel Prize winner has a solution: AI must foster 'maternal' instincts, empathy and kindness. Hinton tells host Nahlah Ayed that it's fairly inevitable AI will become smarter than humans, but if we could make it care more for us than it did about itself, good things could happen.

We hear from many quarters that "AI will destroy the world," but everyone's got a different scenario for what that means. The most sensational perspectives come from theorists like Geoffrey Hinton, the so-called "godfather of AI" or industrialists like Elon Musk. They warn us that one day,  a superintelligent AI could replace human beings in controlling the planet.  But we don't need to conjecture into the future. The scorched-earth destruction is already happening now. Jobs are hemorrhaging with no sign of return; data centers are turning U.S. farmlands into barren industrial gulags while consuming record levels of power, spewing volumes of carbon and using up our last freshwater sources; fusillades of deep-fake videos politically paralyze the public; an AI surveillance infrastructure is being constructed that will lock in fascism; and algorithms are telling ICE and the IDF who lives and who dies. It seems all too overwhelming. However, by tracing AI's lineage to the development of the atom bomb -- with the same ideologies and twisted logic -- it becomes apparent that solutions to the AI dilemma can also be found in nuclear history, in its disarmament successes.

Join Simtheory: https://simtheory.ai---Join the most average AI LinkedIn group: https://www.linkedin.com/groups/16562039/It's 2026 and everyone's having an existential crisis. In this episode, we unpack the two camps dominating AI C/Twitter: hype boys claiming "Claude Code can do my washing" vs. software developers doom-scrolling themselves into career panic. We put the agentic hype to the test and discover that no, you can't actually run 8 agents recreating your local business ecosystem while you sleep. Plus, we reflect on why MCP is exhausting, why Gemini 3 Pro is somehow worse than Gemini 2.5 Pro, and why Geoffrey Hinton would rather write his book than answer questions in Tasmania. Also featuring: the $200,000/month enterprise AI problem, why SaaS isn't dead (but it's scared), and our prediction that AI workspaces will become the everything app.CHAPTERS:00:00 Intro - Unpacking the 2026 AI Vibes02:21 Putting Claude Code and Agentic Hype to the Test05:57 Why Twitter AI Demos Never Show the Receipts07:03 Honest Assessment of Where Frontier Models Are At11:19 Building the Everything App with Email, Calendar and Files16:47 Collaborative Mode vs Agentic Delegation in Practice21:29 The Real Cost of Enterprise AI at Scale24:32 Why Cheaper Models Like Haiku and Gemini Flash Matter29:25 Is SaaS Actually Dead or Just Disrupted38:11 The Future of AI Platforms, SDKs and App Stores43:35 The Untapped Opportunity in Paid Proprietary MCPs51:21 Geoffrey Hinton Refuses to Take Questions in Tasmania55:05 2026 Plans and the Still Relevant Tour AnnouncementThanks for listening. Like & Sub. xoxox

Elon Musk and Geoffrey Hinton warn of an AI-driven job apocalypse.MIT's David Autor, one of the world's leading thinkers on how technology reshapes work, says the real danger lies somewhere else.The biggest risk of AI isn't mass unemployment - it's whether human skills and expertise will still matter.David explains how AI could expand middle-class opportunity by lowering barriers to high-value work, why past technologies created more new jobs than they destroyed, and what we need to get right to make this moment a hopeful one.

Pick the headline that best describes the story:VenezuelaTrump's Hint to Oil Executives Weeks Before Maduro Ouster: ‘Get Ready'Maduro overthrow could help these U.S. oil companies recover assets seized by VenezuelaTrump makes it clear shocking Venezuelan regime change is largely about oil: ‘They stole our oil … We're going to make a lot of money'US oil giants mum after Trump says they'll spend billions in VenezuelaUS oil companies gain after capture of Venezuela's MaduroA group of about 20 US investors is already planning a trip to Venezuela in MarchMaduro falls, Bitcoin rises: The 1,671% surge that hit before Wall Street woke upAI-generated content spreads after Maduro's removal — blurring fact and fictionElonElon Musk's X faces probes in Europe, India, Malaysia after Grok generated explicit images of women and childrenElon Musk's X faces regulatory probes in Europe, India and Malaysia after its Grok chatbot began generating deepfake explicit images, some depicting child sex abuse.Elon Musk After His Grok AI Did Disgusting Things to Literal Children: “Way Funnier” Elon Musk's Grok AI faces government backlash after it was used to create sexualized images of women and minorsMusk's xAI faces backlash after Grok generates sexualized images of children on XWoman felt 'dehumanised' after Musk's Grok AI used to digitally remove her clothesElon Musk plans 'high-volume production' of Neuralink brain chips and says he wants to automate the surgical procedureTesla Loses EV Crown to BYD After Second Annual Sales DropAIChildrenTech Giants Pushing AI Into Schools Is a Huge, Ethically Bankrupt Experiment on Innocent Children That Will Likely End in DisasterChildren Falling Apart as They Become Addicted to AIOpenAI's child exploitation reports increased sharply this yearPsychosisDoctors Say AI Use Is Almost Certainly Linked to Developing PsychosisWoman Suffers AI Psychosis After Obsessively Generating AI Images of HerselfMan Describes How ChatGPT Led Him Straight Into PsychosisAI Godfather Warns That It's Starting to Show Signs of Self-PreservationDisturbing Messages Show ChatGPT Encouraging a Murder, Lawsuit AllegesOpenAI Reportedly Planning to Make ChatGPT “Prioritize” Advertisers in ConversationBillionairesThe world's richest people just had their best year yetAI boom adds more than half a trillion dollars to wealth of US tech barons in 2025There are more self-made billionaires under 30 than ever before—11 of them have made the ultra-wealthy club in the last 3 months thanks to AIJamie Dimon made $770 million last year. 2026 could be even better for banksEasing rules and a rebound in dealmaking are reshaping the landscape for U.S. banks, with bigger profits likely aheadThreat of California Billionaire Tax Draws Criticism From UltrawealthyBill Ackman slams California wealth tax as ‘expropriation' of private propertyBill Ackman Blasts Ro Khanna For Defending Billionaire Tax: 'Lost His Way'Peter Thiel and Larry Page are preparing to flee California in case the state passes a billionaire wealth tax, report saysTech billionaires threaten to flee California over proposed 5% wealth taxBari Weiss yanking a 60 Minutes story is censorship by oligarchy Speed Round Dumb or Good Rating (1-10)Dumb2 former Hinge execs are building an app to make it easier to plan hangouts with your friends 10Boeing (BA) CEO “is a Nonsense Guy,” Says Jim Cramer 2Some men may downplay climate change risks to avoid appearing feminine 0New research provides evidence that men who are concerned about maintaining a traditional masculine image may be less likely to express concern about climate change. The findings suggest that acknowledging environmental problems is psychologically linked to traits such as warmth and compassion. These traits are stereotypically associated with femininity in many cultures. Consequently, men who feel pressure to prove their manhood may avoid environmentalist attitudes to protect their gender identity. The study was published in the Journal of Environmental Psychology.CEO of local public company to step down after nearly 10 years 9Malcolm Gladwell tells young people if they want a STEM degree, ‘don't go to Harvard.' You may end up at the bottom of your class and drop out 6OpenAI CEO Sam Altman says he is ‘envious' of Gen Z college dropouts who have the ‘mental space' and time to build new startups 9This 22-year-old college dropout with an AI powered YouTube empire makes $700,000 a year and works just 2 hours a day 1Trump Mobile says its first-ever smartphone is delayed, and the government shutdown is to blame 3The college-to-office path is dead: CEO of the world's biggest recruiter says Gen Z grads need to consider trade jobs with no degree required 4ChatGPT gets ‘anxiety' from violent user inputs, so researchers are teaching the chatbot mindfulness techniques to ‘soothe' it 7Good?Minimum wage just went up in 19 states—workers in one state are getting a $2 an hour raise 8Judge says Trump administration must continue funding consumer watchdog Consumer Financial Protection Bureau 5Angry town halls nationwide find a new villain: the data center driving up your electricity bill while fueling job-killing AI 8Bernie Sanders and Ron DeSantis speak out against data center boom. It's a bad sign for AI industry 9Mitt Romney says the U.S. is on a cliff—and taxing the rich is now necessary ‘given the magnitude of our national debt' 7Microsoft CEO Begs Users to Stop Calling It “Slop” 10Man Operating Robot Accidentally Makes It Kick Him Directly in the Nutsack 9MATT1WE MISSED THE PREDICTIONS:Crypto: Tom Lee Predicts $250K Ethereum Price as BitMine Adds to $13 Billion Stash, Grayscale Predicts Bitcoin Will Reach New All-Time High by March 2026Stocks: Every Wall Street Analyst Now Predicts a Stock Rally in 2026 - EVERY!AI: ‘Godfather of AI' Geoffrey Hinton predicts 2026 will see the technology get even better and gain the ability to ‘replace many other jobs', Amazon's Alexa chief predicts an end to doom scrolling: the next generation is ‘going to just think differently', In 2026 CFOs predict AI transformation, not just efficiency gainsAs millions of Gen Zers face unemployment, CEOs of Amazon, Walmart, and McDonald's say opportunity is still there—if you have the right mindset - I PREDICT NOT HAVING A JOB IS YOUR OWN FAULTOily oil: Oil experts predict slight rise in gas prices as global tensions mountBlowhards: Elon Musk predicts double-digit US growth by 2026, Treasury Secretary predicts historic merger could make 2026 a ‘very good year' Trump advisor predicts Miami will dethrone NYC as financial capital under new progressive mayorOpenAI's CEO Sam Altman says in 10 years' time college graduates will be working ‘some completely new, exciting, super well-paid' job in space

Geoffrey Hinton is one of the world's biggest minds in artificial intelligence. He won the 2024 Nobel Prize in Physics. Where does he think AI is headed? *** Thank you for listening. Help power On Point by making a donation here: www.wbur.org/giveonpoint

Computer scientist and Nobel laureate Geoffrey Hinton joins Ian Bremmer on the GZERO World podcast to talk about artificial intelligence, the technology transforming our society faster than anything humans have ever built. The question is: how fast is too fast? Hinton is known as the “Godfather of AI.” He helped build the neural networks that made today's generative AI tools possible and that work earned him the 2024 Nobel Prize in physics. But recently, he's turned from a tech evangelist to a whistleblower, warning that the technology he helped create will displace millions of jobs and eventually destroy humanity itself.The Nobel laureate joins Ian to discuss some of the biggest threats from AI: Mass job loss, widening inequality, social unrest, autonomous weapons, and eventually something far more dire: AI that becomes smarter than humans and might not let us turn it off. But he also sees a path forward: if we can model good behavior and program ‘maternal instincts' into AI, could we avoid a worst-case scenario?Host: Ian BremmerGuest: Geoffrey Hinton Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nobel laureate Geoffrey Hinton, known as one of the “godfathers of AI” for his pioneering work in deep learning and neural networks, joins Kara to discuss the technology he helped create — and how to mitigate the existential risks it poses.  Hinton explains both the short- and long-term dangers he sees in the rapid rise of artificial intelligence, from its potential to undermine democracy to the existential threat of machines surpassing human intelligence. He offers a thoughtful, complex perspective on how to craft national and international policies to keep AI in check and weighs in on whether the  AI bubble is about to burst. Plus: why your mom might be the best model for creating a safe AI. Questions? Comments? Email us at on@voxmedia.com or find us on YouTube, Instagram, TikTok, Threads, and Bluesky @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices

As artificial intelligence advances at unprecedented speed, Jon is joined by Geoffrey Hinton, Professor Emeritus at the University of Toronto and the "Godfather of AI," to understand what we've actually created. Together, they explore how neural networks and AI systems function, assess the current capabilities of the technology, and examine Hinton's concerns about where AI is headed. This podcast episode is brought to you by: MINT MOBILE - Make the switch at https://mintmobile.com/TWS GROUND NEWS - Go to https://groundnews.com/stewart to see how any news story is being framed by news outlets around the world and across the political spectrum. Use this link to get 40% off unlimited access with the Vantage Subscription. INDEED - Speed up your hiring with Indeed. Go to https://indeed.com/weekly to get a $75 sponsored job credit. Follow The Weekly Show with Jon Stewart on social media for more:  > YouTube: https://www.youtube.com/@weeklyshowpodcast > Instagram: https://www.instagram.com/weeklyshowpodcast> TikTok: https://tiktok.com/@weeklyshowpodcast  > X: https://x.com/weeklyshowpod   > BlueSky: https://bsky.app/profile/theweeklyshowpodcast.com Host/Executive Producer – Jon Stewart Executive Producer – James Dixon Executive Producer – Chris McShane Executive Producer – Caity Gray Lead Producer – Lauren Walker Producer – Brittany Mehmedovic  Producer – Gillian Spear Video Editor & Engineer – Rob Vitolo Audio Editor & Engineer – Nicole Boyce Music by Hansdle Hsu Learn more about your ad choices. Visit podcastchoices.com/adchoices