The Most Interesting Thing in AI

Since the AI boom began, industry skeptics have warned it would be the next bubble. They point to massive investments, circular financing, and the technology’s reliability issues. And yet, as revenue rises and the models improve, it might appear that a crash is no longer likely. Ray Dalio says that isn’t the case. As the founder of Bridgewater Associates, the world’s largest hedge fund, Dalio knows a thing or two about markets. He famously warned of the 2008 crisis, enabling his firm to post gains while most funds lost money. In the AI market, Dalio still sees a potential calamity. The technology is amazing, he says, but that doesn’t necessarily mean it’s an amazing investment. Is he right? And can a catastrophe be averted? In conversation with Nicholas Thompson, CEO of The Atlantic, Dalio describes the five forces that shape history, explains why the AI boom has survived tariffs and the Iran War, and shares the advice he gives young people who are entering the workforce. Produced independently of The…

If you want AI to drive your car or simulate a cell or control a robot, it had better be able to understand the world it’s operating within. Eric Xing is one of the leading researchers working on this kind of AI, known as ‘world models.’ Unlike LLMs, which are trained largely on text data and predict the next token, world models aim to understand and simulate physical environments using multimodal data. Xing found his way to the field after a long trek through prestigious institutions, studying cancer before transitioning to machine learning. Now, as the president of Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates, he’s helping to train a generation of AI builders. In conversation with Nicholas Thompson, CEO of The Atlantic, Eric discusses how his unusual career trajectory prepared him to work in the AI industry, what people misunderstand about the US-China arms race, and how the war in Iran has impacted his work in the region. Produced independently of The Atlantic’s…

AI wants to be your friend. And your therapist. And your lover. It’s not an entirely new offer, author and MIT professor Sherry Turkle reminds us, but it’s one that’s grown more dire as AI has improved. In a conversation with Nicholas Thompson, CEO of The Atlantic, Turkle describes the dangers of anthropomorphizing generative AI, gleaned from hundreds of conversations she conducted (with real humans) for her new book, Artificial Intimacy: Who We Become When We Talk To Machines. What do we lose when we make machines our best friends? And what, if anything, do we stand to gain? Turkle details her own experience creating a simulation of her mother, and the wounds that we risk reopening. Produced independently of The Atlantic’s editorial staff. Supporting sponsor: PwC. (00:00) Introduction (03:45) The surprising return of relational machines (07:35) Why Sherry wrote her new book, Artificial Intimacy (11:18) The problem with delegating parenting, education, and therapy to AI (19:07) Why people seek emotional…

Among the many eye-popping numbers of the AI industry—from trillions in investments to billions in spending—one stands out: $0 in profit among leading AI companies. According to Bloomberg, “never before has so much money been spent so rapidly on a technology that, for all its potential, remains largely unproven as an avenue for profit-making.” That imbalance, and the industry’s reliance on circular financing, has led to fears of a bubble. But those concerns are overblown, according to Azeem Azhar, author of the Exponential View newsletter, who earlier this year released a report on the AI economy. In conversation with Nicholas Thompson, CEO of The Atlantic, Azhar expands on his findings. He says AI’s finances are sound: the demand is there, revenue is growing, and the technology will advance enough to deliver on the necessary ROI. Produced independently of The Atlantic’s editorial staff. Supporting sponsor: PwC. (00:00) Introduction (03:40) Mapping the AI economy through forensic accounting (07:50) How to…

Technological waves often arrive with a promise. The internet was going to democratize information. Blockchain was going to decentralize power. Now, AI's boosters say it will bring unprecedented prosperity. Few people are better positioned to speak to that possibility than Jeremy Allaire. As the CEO of the fintech company Circle—issuer of the USDC stablecoin—and a longtime internet entrepreneur, Allaire has been at the center of the first two technological waves. With AI, he says we’re going through a change that’s “bigger than the Industrial Revolution.” He sees a future of financially-empowered agents—and believes this technology could be the one that finally fulfills the promise of shared wealth. In a conversation with Nicholas Thompson, CEO of The Atlantic, Allaire describes how the agentic economy might work, why regulation will be critical to its success, and what’s missing from the conversation around AI’s effect on society. Produced independently of The Atlantic’s editorial staff. Supporting sponsor:…

As AI’s capabilities improve, reports of “rogue” agents and misaligned systems are becoming more frequent. In response, some activists, academics, and politicians have called for a pause in development, warning of the dangers that superintelligent AI could pose. But Richard Socher, the CEO of AI startup Recursive as well as the AI search engine You.com, sees another path. In his new book, The Eureka Machine, Socher lays out his vision for how self-improving AI could lead to breakthroughs in science, medicine, economics, and more. In conversation with Nicholas Thompson, CEO of The Atlantic, he details some of the ways we can mitigate its risks, explains why the limits of our own minds could hold AI back, and considers whether we’re projecting too many fears about human behavior onto an insensate technology. Produced independently of The Atlantic’s editorial staff. (00:00) Introduction (02:25) Richard's childhood in East Germany and Ethiopia (10:23) What Richard got wrong about AI hype and the DeepMind…

For years, tech CEOs have promised that AI will take on the menial, repetitive tasks that have long been a part of office life. Typically, those tasks are assigned to younger, less experienced workers—and poll after poll shows Gen Z is increasingly concerned about what AI will mean for their job prospects. Clara Shih says those fears are, at least partly, justified. As the former head of Meta's Business AI Group, and the CEO of Salesforce AI before that, Shih knows firsthand how companies are deploying AI and where it's affecting hiring. Now, as the founder of the New Work Foundation, Shih is building tools to help young workers navigate this complex hiring maze. In conversation with Nicholas Thompson, CEO of The Atlantic, Shih details the skills students should focus on to prepare for the AI era, how employees can leverage the technology, and why more people—of all ages—might soon find themselves working for an algorithm. Produced independently of The Atlantic’s editorial staff. (0:00) Introduction (02:35)…

Kara Swisher has done a bit of everything. She’s covered the rise of Silicon Valley’s tech giants, founded and sold her own startup publication, and dabbled in Hollywood, with appearances in films such as The Devil Wears Prada 2 and Tron: Ares. She’s now the host of multiple podcasts about tech and politics, as well as Kara Swisher Wants To Live Forever, a CNN series about the longevity industry. After decades of chronicling the Valley’s foibles, Swisher has many thoughts on AI—where the technology currently is and where it’s going. In conversation with Nicholas Thompson, CEO of The Atlantic, Swisher goes deep on whether the Big Tech companies are capable of managing AI responsibly; if the technology will deliver on the hype they’ve generated; and how media companies and creators can best leverage it. Recorded in Bar Harbor, Maine. Produced independently of The Atlantic’s editorial staff. Supporting sponsor: PwC. (00:00) Introduction (02:25) What Kara’s most excited about with AI (08:50) What the political…

AI may have leveled the playing field in coding and app development, but it’s also put potentially dangerous tools in reach of nefarious actors. Now, empowered by AI, state-backed intelligence agencies and non-state actors alike can access tools that enable everything from mass surveillance to cyberattacks to bioweapon development. This dynamic could lead to a catastrophe, warns Eurasia Group’s Ian Bremmer. In conversation with Nicholas Thompson, CEO of The Atlantic, Bremmer describes the risks of open-source AI, the opportunities for international collaboration (including an “AI stability board”), and how to increase investment in safety and alignment. Will AI cause socially-destabilizing inequality? What are the chances it helps democracy rather than hurt it? And how concerned should we be about AI companions? Produced independently of The Atlantic’s editorial staff. Supporting sponsor: PwC. (00:00) Introduction (02:04) Why cyberattacks aren’t the primary threat of AI (05:58) What we should (and shouldn't)…

Steven Johnson spent decades figuring out the best ways to turn his research into words on the page. Now, he’s adapting those methods for Gemini Notebook, Google’s AI-powered interactive bibliography. (Until recently, it was called NotebookLM.) But in building a tool designed to synthesize ideas, is there a risk of taking humans too far out of the writing process? In conversation with The Atlantic’s Nicholas Thompson, Johnson discusses the best practices, ethics, and limitations of using AI as a collaborator. The Atlantic has a licensing agreement with Gemini Notebook, and Google also advertises with The Atlantic. This episode was not a part of those deals. Produced independently of The Atlantic’s editorial staff. Supporting sponsor: PwC. (00:00) Introduction (05:10) The evolution of Steven's writing process (08:22) Managing the "iceberg" of research (11:45) The ethics of AI-assisted writing (19:02) What happens when AI becomes as good at writing as humans (24:17) Why some genres could change drastically…

However you feel about Meta, Andrew Bosworth has likely played a part in it. The long-serving right hand to Mark Zuckerberg and current Chief Technology Officer, “Boz” has helped shape almost every stage of the company’s growth. He’s credited with introducing the Facebook News Feed in 2006, and, more recently, with overseeing the company’s efforts in the metaverse. Now, Boz is a key figure behind Meta's artificial intelligence strategy. In late June, he joined Nicholas Thompson, CEO of The Atlantic, for a conversation covering the state of Meta AI: from the privacy concerns around its glasses to its controversial (and now halted) program training models on its employees’ keystrokes and mouse movements to its pivot from open-source AI to a proprietary model. (00:00) Introduction (02:34) Can AI glasses get past the developer ecosystem Catch-22? (05:45) What’s true and false about NameTag, facial recognition, and Meta’s glasses (09:22) Why Meta tracked employee keystrokes to teach AI how to use computers—and…

AI agents can scour the internet for us, reply to our messages, and add events to our calendars. But in order to do so, they need sweeping access to our data. Handing that over presents an unprecedented threat to privacy, says Signal Foundation president Meredith Whittaker, who directs the Signal messaging app. In conversation with The Atlantic CEO Nicholas Thompson, Whittaker discusses the risks of agentic AI, Signal’s approach to AI coding, and why it’s uncompromising in its commitment to protecting user data. This episode was recorded prior to Keir Starmer’s resignation announcement. (00:00) Introduction (02:52) AI’s threat to privacy (03:28) The end of the operating system as a safe boundary (04:15) The dangers of off-device compute and the limits of Apple’s privacy promises (05:30) Prompt injection vulnerabilities, and the risks of giving agents access to calendars, contacts, messages (06:50) How Signal mitigates the risk of AI software like Microsoft Recall (09:15) The accessibility trade-off: Why…

Take a scroll through Facebook or TikTok today, and you’ll likely find some AI-generated content: an influencer with impossibly-radiant skin, a stunt that bends the laws of physics, Shrimp Jesus. And while there might not be much social benefit to AI slop, that doesn’t mean that we should shun AI from our feeds entirely, says Eli Pariser. As the author of “The Filter Bubble,” Pariser has been a longtime critic of social media. But he’s also the cofounder of Upworthy, the bubbly bright news site that perfected the clickbait headline. Today, Pariser is building Roundabout, a kind of socially-conscious answer to Nextdoor, and he’s hopeful that AI agents can mend the thumb-shaped hole in our social fabric. But is more tech really the answer to our tech woes? Nicholas Thompson, CEO of The Atlantic, sits down with Eli to find out. (00:00) Introduction (02:00) How we can avoid social media's worst mistakes (03:36) Would subscription models have fixed social media? (05:03) How the agentic interface will change news…

You've probably heard it already: AI is going to radically change the way we work. But the details change depending on who's making the prediction: AI will wipe out the C-suite, or entry-level jobs, or make us all into prompt engineers. Those scenarios are far-fetched, says Dan Priest. In his role as the Chief AI Officer at PwC, Priest sees firsthand how companies across the industrial landscape are utilizing AI– often in ways that clash with those fatalistic prognostications. In a vital conversation with Nicholas Thompson, CEO of The Atlantic, Priest unpacks what he's learned about AI implementation, agents, and how businesses can adapt in the age of AI. (00:00) Introduction (02:30) The two extremes of AI adoption (04:46) Will we see a billion-dollar one-person company? (06:24) Why technology advances faster than implementation (07:32) Where is AI actually being deployed? From IT/code generation to CFO/CHRO functions (10:17) Specialist vs. generalist roles in an AI world (12:17) Should every employee have…

In the last year, AI has arguably made more progress in coding than in any other domain. Its technical capabilities – harnessed through apps like Codex and Claude Code – have changed the way engineers work. Boris Cherny, Anthropic’s head of Claude Code, claims that 100% of his output is now generated by AI. But what does the rapid advance in coding tools mean for engineers and businesses? To answer that, Nicholas Thompson, CEO of The Atlantic, sits down with engineer, author, and entrepreneur Paul Ford. The two discuss how AI has changed his work, its implications for a range of industries, and their missed opportunity to start a billion-dollar business (maybe). (00:00) Introduction (01:53) Writing vs. Engineering: Which profession has been transformed more by AI? (03:23) The pitfalls of AI writing and the limits of AI agents (04:09) How AI has changed the code development business model (09:01) "Vibe coding": Paul Ford's personal experience building products through AI prompts (10:47) "Death is coming" -…

In the years following the launch of ChatGPT, as concerns spread over the social and political impacts of LLMs, one person’s warnings seemed particularly dire: Yoshua Bengio’s, a scientist and one of the “godfathers” of AI. The potential negative impacts of his life’s work weighed so heavily on Bengio that he signed his name to an open letter advocating for a pause in AI research. (The pause didn’t happen.) But recently, Bengio has found renewed optimism as he pursues a project dubbed “Scientist AI.” The pitch: What if AI didn’t care about pleasing us, and instead, like a scientist, prioritized accuracy, honesty, and probable outcomes? In a conversation with Nicholas Thompson, CEO of The Atlantic, Bengio outlines why he thinks this approach will produce better outcomes, the challenges to implementing a model that polices other (often better-funded) models, and why the age of AI– so far marked by an international arms race– will need greater international cooperation. (00:00) Introduction (05:00) Can we…

Of all the potential risks and promises of AI, perhaps none are as immediately dire as this: How will it impact jobs? Will employers still need workers? What will it mean if the answer is “no?” Depending on who you’re talking to, the prospect of a future with fewer jobs is either liberating or terrifying. But for a more measured reaction, it helps to look at the data. Stanford economist Erik Bynjolfsson has done just that, drilling down into AI’s effects on employment, upskilling, output, and more. In a conversation with The Atlantic’s CEO Nichlas Thompson, Brynjolfsson goes through his studies of call centers and other AI-exposed fields, and the surprising findings that could bring some much-needed reality to our fears. (00:00) Introduction to Erik Brynjolfsson and his work on AI economics (02:51) How much is free AI actually worth? (05:25) Why isn’t powerful AI showing up in GDP? (06:48) Introducing GDP-B: A new metric to capture value from free digital goods (07:23) Why initial AI adoption often lowers…

Can AI predict a person’s future? It’s a promise often made by sales teams, but the technology’s record is far from spotless. Even if it did achieve perfect foresight, a practically-clairvoyant AI might be incompatible with democracy, says Oxford philosopher Carissa Véliz. In a spirited conversation with Nicholas Thompson, CEO of The Atlantic, Véliz traces the history of predictions from ancient oracles to the modern algorithms shaping everything from criminal sentencing to insurance premiums. What are the ethics of outsourcing such consequential decisions to machines? The risks of getting it wrong are obvious. Véliz warns of the dangers of getting it right. (00:00) Introduction to Carissa Véliz and her work on privacy and AI (01:29) Why "less crime" is an illusion of safety (02:30) How surveillance machinery enables prediction and social control (03:06) Defense of autonomy: why resisting surveillance protects freedom (04:02) Can mass surveillance ever be beneficial? (05:36) Ring cameras and the erosion of…

Will AI destroy the world, or transform it into one of abundance? Across two books and several papers, philosopher Nick Bostrom has envisioned a range of AI futures. He joins Nicholas Thompson to discuss the ethics of how we treat AI, whether AI has sentience, and why he believes we should keep building, even at the risk of annihilation. Produced in collaboration with PwC. (00:00) Introduction to Nick Bostrom and Superintelligence (01:56) How AI development matched Bostrom's predictions (04:48) Recursive self-improvement: Are we there yet? (07:40) Physical limits of intelligence and computational ceilings (09:40) Timeline predictions: Next year vs. next five years (11:46) Embodied intelligence: Can AI replicate motor skills? (14:32) Centralization vs. democratization of AI power (16:52) The race dynamics: One leader vs many competitors (19:57) AI alignment: Making systems behave as intended (21:37) The gap between model power and our understanding (23:25) "Optimal Timing for Superintelligence" paper…

Why does AI answer the way it does? Even as models cite their sources, the question of “why” remains one of the most confounding in the industry, with huge implications for users and builders alike. Mozilla CTO Raffi Krikorian says much of the answer lies in open-source AI— letting users look under the hood to see what’s happening. It’s a compelling idea, one that could also impact safety and alignment. But can it thrive? And what are the risks of ceding control? In a deep conversation with Atlantic CEO Nicholas Thompson, Raffi describes a world where technology is liberated from a handful of corporations, shares his hopes and fears for AI, and reflects on his recent car crash involving a self-driving Tesla. (00:00) Introduction: The mystery of AI decision-making and the need for transparency (02:25) Twitter, Uber, and the DNC: Raffi’s career history (05:01) How centralization changed Twitter into X (08:30) Why seven companies shouldn't control AGI (11:38) Mozilla's mission: Building an open AI ecosystem…

OpenAI’s Sam Altman sits for an interview with Nicholas Thompson, CEO of The Atlantic, to discuss AI’s trustworthiness, its dangers, and its impact on young people. Altman also discusses his company’s pledge to “stop competing and start assisting” rival projects that approach AGI, and why he thinks we’re not there yet. In a thorough and wide-ranging conversation, Altman opens up about where he thinks AI will go next and the mysteries that he still can’t solve. Recorded at OpenAI’s offices in San Francisco. (00:00) Introduction (02:33) Is our understanding of AI keeping pace with its growth in power? (05:10) Is chain-of-thought the key to trusting a model? (11:07) Open source AI, cybersecurity, and "infected" agents (16:26) Have we hit recursive self-improvement? (19:18) What does AI do on Sam Altman's computer? (21:15) Why hasn't AI made an impact in business yet? (24:04) Will AI make the wealth gap worse? (27:01) Why do young people hate AI? (30:23) The challenges of AI sycophancy (33:36) Do you regret…

AI needs data centers, and those data centers need energy and cooling. Recently, one proposal has captured the popular imagination: put data centers in space, where there’s ample solar energy and naturally cool surroundings. But things aren’t quite that simple, says space architect Ariel Ekblaw of the Aurelia Institute. On this episode of The Most Interesting Thing in AI, Ekblaw talks with The Atlantic CEO Nicholas Thompson about the possibilities for building structures in space, the innovative designs coming out of the Aurelia Institute, and why data centers in space are a good idea… for certain billionaires. Produced in collaboration with PwC. (00:00) Introduction (02:22) What is a space architect? (04:45) How does someone become a space architect? (07:39) How do "space Magna-Tiles" work? (11:00) Why build in space? (12:45) Will we have chatbots in space? (15:00) How space will change robotics (16:56) Why would anyone want to live in space? (19:55) Will we actually go to space soon? (20:49) Artificial…

Where does AI go next? And what happens to us? Join The Atlantic’s CEO Nicholas Thompson as he speaks with leaders, developers, philosophers, and more about AI’s impacts, present and future. New episodes every Wednesday, starting April 22. Produced in collaboration with PwC. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, The Atlantic’s CEO Nicholas Thompson speaks with serial entrepreneur and Idealab founder Bill Gross about his latest venture, ProRata, a bold attempt to create a fair exchange of value between AI companies and the creators whose work helped train their models. From inventing search advertising to tackling one of AI’s most urgent ethical challenges, Gross explains how innovation and fair market dynamics can align—and how humans are still underestimating the transformative power of AI. (00:00) Introduction (06:32) How Bill invented paid search in the 1990s (13:29) NYT v. OpenAI as the “lightning strike moment” that inspired ProRata (16:16) Solving the “impossible problem” of AI attribution (21:36) ProRata’s plan for revenue sharing between creators and AI companies (24:13) How YouTube shows revenue sharing could make AI companies even stronger (28:20) When there will be a one-person company with a billion-dollar valuation (29:23) AI could be net positive for the climate in as little as five…

What happens when AI learns faster than its makers can control? In this episode, Nicholas talks with Navrina Singh, founder and CEO of Credo AI, about how regulation could actually accelerate innovation of more responsible, transparent AI. Together, they dig into how governance can help the U.S. compete with China, prevent bias, and keep trust and transparency at the center of the AI revolution. (00:00) Introduction (04:09) What we learned from Microsoft’s Tay disaster (06:58) Why Navrina started Credo AI (11:12) Managing risk across the AI supply chain (12:43) Preventing bias in customer support chatbots (17:54) Is AI making the world less equal? (19:40) Ethics vs. speed in the AI race with China (21:40) How governance leads to better, faster products (28:04) Why there’s no perfect AI regulation right now (31:14) Preparing for a world where AI governs itself (34:15) The most interesting way Navrina has used AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

The space race has gone private, and in this new world, efficiency is key. United Launch Alliance CEO Tory Bruno explains how a legacy rocket maker remade itself to compete in an industry full of startups. From load analysis and low-earth-orbit satellite monitoring to rockets with autonomous flight systems, Bruno unpacks what happens when machine learning meets computational fluid dynamics in our atmosphere. Plus, why AI might be critical to landing a man on Mars—and getting them home alive. (00:00) Introduction (01:38) From backyard rockets to Boeing and Lockheed (Tory Bruno) (03:58) Transforming ULA for a new space race (06:09) The physics of launch: energy, precision, and peril (08:41) Reprogramming flight paths with AI (10:55) The coming age of autonomous and reusable rockets (16:27) When we'll really send humans to Mars—and bring them back (19:36) How AI could help us find, and talk to, alien life (29:20) AI in the space economy (Joe Schurman) (34:16) The $2 trillion future of space (37:51) The most…

How do you digitize the physical world? In this episode, Nick talks with University of Glasgow chemistry professor Lee Cronin, founder of Chemify—a company that is using AI to turn molecules to code s—about his quest to create a programming language for chemistry, what it means to “print” molecules, and how his team is able to discover new drugs and materials through their “chemputer.” He also discusses how the work is offering new insights into the origins of life on Earth and how to identify it on other planets. (00:00) Introduction (01:45) From setting fires to studying life (05:00) Creating a programming language for chemistry (09:20) Designing and “printing” new molecules (10:45) How hype has distorted AI’s promise (14:17) From sand to cells: the origin of life (16:01) Assembly theory and the bridge from nonlife to life (19:15) What it would take for AI to come alive (23:48) The most interesting way Lee has used AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

What does it take to succeed in the disruptive world of AI? In this episode, Atlantic CEO Nicholas Thompson sits down with Matt Wood, PwC’s Global and U.S. Commercial Technology and Innovation Officer, to trace his path from medical school and protein folding research to Amazon Web Services and now PwC. They discuss the transformative power of AI; why, when disruptive forces emerge, companies may be better off doubling down on their core identity rather than reinventing themselves; and how the organizations of the future may be reshaped by autonomous agents working alongside humans. (00:00) Introduction (02:16) Matt's path from medicine to machine learning (05:47) The Human Genome Project and the data explosion (09:28) The AI inflection point (11:41) Why AI’s biggest impact will be organizational, not technical (13:30) How companies navigate disruption without losing identity (19:18) The coming flattening of organizations (22:02) Managing teams of humans and agents (25:41) The most interesting way Matt has…

Can AI unlock your full potential as an athlete? In this episode, Nicholas speaks with Will Ahmed, founder and CEO of Whoop, about how wearable technology and AI are transforming health, performance, and longevity. From monitoring sleep and recovery to analyzing biomarkers and offering personal health insights, Ahmed shares how Whoop is pushing the boundaries of what’s possible in healthcare in the age of AI. (00:00) Introduction (02:09) What WHOOP measures and how it works (09:20) What new metrics could reveal about the mind and body (15:25) How AI advances are changing WHOOP (18:16) Balancing personalization with privacy (24:00) Measuring health span and longevity (24:37) When performance and health diverge (27:31) The future of preventative, AI-driven health (30:39) The most interesting way Will has used AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Atlantic CEO Nicholas Thompson speaks with Ohad Elhelo, co-founder and CEO of AUI, about neuro-symbolic systems. Apollo-1, AUI's neuro-symbolic foundational model, promises both the fluency of generative models and the reliability of symbolic reasoning, an AI method that uses symbols and explicit rules to represent knowledge and perform logical inference. Could this hybrid architecture finally unlock task-oriented AI at scale? (00:00) Introduction (02:57) A rift in the AI community (04:59) Why neuro-symbolic AI could succeed where chatbots have failed (12:04) How AUI built its model (19:11) How to solve the hallucination problem (25:46) Business use cases for neuro-symbolic AI (30:48) What happens once Apollo One launches (35:03) The most interesting way Ohad has used AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

A podcast series examining how AI is reshaping our world. Each episode features a conversation with a leading thinker who offers a fresh perspective on the far-reaching ethical, economic, and social implications of this technology. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What happens if we get AI right? In this episode, Nicholas speaks with Wired co-founder Kevin Kelly about AI’s potential to positively impact the future of humanity. Featured Guest: Kevin Kelly, co-founder of Wired Learn more about your ad choices. Visit podcastchoices.com/adchoices

How is AI shaping the future of healthcare? In this episode, Nicholas speaks with Eli Lilly’s Diogo Rau about how AI is making it easier and faster to find life-saving drugs, and PwC Chief AI Officer Dan Priest about how the technology will transform healthcare experiences for patients in the next decade. Featured Guests: Diogo Rau, Executive Vice President and Chief Information and Digital Officer at Eli Lilly & Dan Priest, Chief AI Officer at PwC Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI is transforming the creative landscape, opening up possibilities for a new generation of artists. In this episode, Nicholas speaks with experimental musician and AI artist Holly Herndon about the intersection of human and machine creativity. Featured Guest: Holly Herndon, co-founder of Spawning Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI is reshaping not just what we think but how we think. In this episode, Nicholas speaks with neuroethicist and legal scholar Nita Farahany about AI's impact on human cognition. Featured Guest: Nita Farahany, Robinson O. Everett Distinguished Professor of Law & Philosophy at Duke University and founding director of the Duke Initiative for Science & Society Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the right hands, AI can strengthen human collaboration and civic engagement. In this episode, Nicholas speaks with Taiwanese politician and programmer Audrey Tang about how the technology can be used to enhance democratic structures. Featured Guest: Audrey Tang, Taiwan's Ambassador-at-Large for Cyber Affairs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Despite the rapid advancements, today’s LLMs are far from infallible. In this episode, Nicholas speaks with author, cognitive scientist, and entrepreneur Gary Marcus, about the ways in which current AI models fall short, and what Marcus believes is the better path forward. Featured Guest: Gary Marcus, Cognitive Scientist, Author, and AI Entrepreneur Learn more about your ad choices. Visit podcastchoices.com/adchoices

A podcast series examining how AI is reshaping our world. Each episode features a conversation with a leading thinker who offers a fresh perspective on the far-reaching ethical, economic, and social implications of this technology. Learn more about your ad choices. Visit podcastchoices.com/adchoices

While many in the creative world approach AI with hesitation or fear, others embrace it as a collaborator, using it to expand the possibilities of artistic expression. This episode examines how AI is reshaping creativity, from enhancing traditional methods to challenging conventional notions of authorship, offering a glimpse into a future where humans and machines create together. Featured Guest: Sougwen Chung, Artist and Founder of SCILICET Learn more about your ad choices. Visit podcastchoices.com/adchoices

The environmental cost of AI is significant, but so is the technology’s potential to help develop new sustainable solutions. This episode examines how AI may guide us to promising breakthroughs in energy creation, and how organizations can leverage the technology to track emissions, optimize resource usage, and support corporate ESG goals, offering insights into how businesses can embrace technology to drive meaningful environmental impact. Featured Guests: Scott Likens, Chief AI Engineering Officer for PwC US and Global, and Heather Horn, PwC National Office Sustainability and Thought Leader Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI is advancing at an unprecedented pace. Some experts are convinced that the world as we know it will change dramatically, while others anticipate a more steady evolution. This episode dives into the debate, separating hype from realistic predictions about the future of AI. Featured Guest: Andrew Ng, Founder of DeepLearning.AI and Adjunct Professor at Stanford Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI is no longer just a tool for experimentation—it’s becoming a foundational technology that’s reshaping how businesses operate. This episode describes how companies are embedding AI into their products and services, exploring its potential to boost efficiency, to personalize customer experiences, and to potentially alter entire industries. From early adoption strategies to the rise of agent-based AI, the conversation highlights how leaders are leveraging AI to gain a competitive edge. Featured Guest: Dan Priest, Chief AI Officer for PwC US Learn more about your ad choices. Visit podcastchoices.com/adchoices

From voice-cloning scams to the creation of non-consensual nude imagery, the malevolent use of artificial intelligence poses myriad risks to truth, privacy, and personal safety. Cybersecurity expert Eva Galperin discusses how artificial intelligence is transforming digital threats, and how we need to work together to mitigate risk, preserve factual integrity, and shift social norms in the digital realm. Featured Guest: Eva Galperin, Director of Cybersecurity at the Electronic Frontier Foundation Learn more about your ad choices. Visit podcastchoices.com/adchoices

What if the most advanced AI models could think and respond in a way that felt like a human consciousness? How might that transform our understanding of intelligence itself? Some of the leading AI scientists believe that a super-intelligent form of this technology is only five to ten years away. This episode explores the idea of AI consciousness and delves into how the act of dreaming is connected to neural networks in unexpected ways. Featured guest: Geoffrey Hinton, Professor Emeritus of Computer Science, University of Toronto. Learn more about your ad choices. Visit podcastchoices.com/adchoices