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In this episode, M.G. Siegler and Alex discuss the current state of AI, exploring whether the technology needs a Steve Jobs-like figure, analyzing the AI chaos among big tech companies, and making predictions about the tech landscape in 2026.
Ryan Kidd discusses the AI safety research landscape, MATS' mission to develop talent across diverse research tracks, and the program's approach to identifying and supporting promising researchers working on critical AI alignment challenges.
Josh McGrath explores the evolving landscape of post-training AI research, discussing token efficiency, RLVR methods, agent workflows, long context challenges, and the critical need for interdisciplinary researchers who can bridge machine learning and distributed systems.
Sam Altman discusses OpenAI's strategy to win in the AI race, including plans for model development, enterprise expansion, infrastructure buildout, and potential scientific discoveries, while addressing topics like personalization, computational capacity, and the evolving definitions of AI capabilities.
Mustafa Suleyman discusses Microsoft's AI strategy, the challenges of AI containment, the potential for AI to transform science and society, and the importance of developing safe and aligned superintelligence while navigating the narrow path between chaos and tyranny.
Reid Hoffman discusses how AI will enhance human capabilities through "superagency," emphasizing that artificial intelligence should be viewed as amplification intelligence that expands human potential rather than replacing humans, and shares an optimistic vision of AI as a collaborative tool that can help solve global challenges and create new opportunities.
D.A. Wallach, a former musician turned biotech investor, discusses the unique challenges of investing in biotechnology, including low probabilities of drug success, the potential of AI, and the evolving global landscape of pharmaceutical innovation.
Pim de Witte shares the journey of turning Medal's 3.8 billion gaming action-labeled clips into General Intuition, a world model lab aiming to create spatial-temporal foundation models that can power 80% of atoms-to-atoms interactions by 2030, with a focus on game-inspired AI agents that can generalize across simulations and robotics.
Pim turned down a $500M OpenAI offer and instead founded General Intuition, a world models startup leveraging Medal's 3.8B action-labeled game clips to build AI agents that can navigate, learn, and transfer skills across games and real-world scenarios.
Gabe Pereyra discusses Harvey's rapid growth in legal AI, focusing on transforming law firms' productivity through AI-powered workflows, collaborative tools, and strategic enterprise solutions across professional services.
Stuart Russell, a leading AI expert, warns that current AI development poses an existential risk to humanity, with top AI CEOs acknowledging a potentially 25% chance of extinction, and argues we need to fundamentally rethink how we develop AI to ensure it remains aligned with human interests.
Mark Chen, OpenAI's Chief Research Officer, discusses the company's research priorities, talent recruitment, competitive landscape in AI, and his optimistic view on the potential of AI to drive scientific discovery and potentially reach AGI within the next few years.
Jonathan Siddharth, CEO of Turing, discusses the evolution of data labeling, AI's transformative potential, and why he believes 99% of knowledge work will be automated through research accelerators that create sophisticated reinforcement learning environments for AI models.
An in-depth exploration of Google's Gemini 3 AI model, its groundbreaking benchmarks, and potential implications for transforming industries from software development to manufacturing, with insights from leading AI experts.
Misha Laskin, co-founder of Reflection AI, discusses the company's mission to build frontier open intelligence, arguing that open-source AI models can compete with closed models and that the West needs to counter the rise of Chinese open-source AI technologies.
Aidan Gomez, co-founder and CEO of Cohere, discusses the transformative potential of AI in enterprise, reflecting on his journey from Google Brain researcher to building an AI platform focused on deploying large language models across critical industries.
Mo Gawdat, former Google X executive, reveals the terrifying rise of AI, its potential to reshape society, and how humans must develop ethical skills and prioritize human connection to thrive in the coming technological transformation.
Mustafa Suleyman, CEO of Microsoft AI, discusses how artificial intelligence will revolutionize work, education, and daily life over the next decade, emphasizing its potential to democratize knowledge and transform human capabilities.
Microsoft's CEO Satya Nadella discusses how the company is preparing for AGI by building massive, interconnected data centers, developing its own AI models, and positioning itself as a flexible, trust-worthy hyperscale infrastructure provider for multiple AI models and global markets.
Mustafa Suleyman discusses Microsoft's push towards "humanist superintelligence", exploring how large language models might evolve, the potential for AI self-improvement, and the company's strategy to build top-tier AI models while maintaining human-centric control.
In this special GTC edition podcast episode, scientists and technology leaders explore how AI is transforming scientific discovery, accelerating research across fields from drug development to quantum computing, and potentially revolutionizing our understanding of molecular design, human biology, and complex systems.
Google Labs Product Lead Jed Borovik reveals Jules, an autonomous AI coding agent that runs on its own infrastructure, pushing the boundaries of software development by enabling developers to work on complex projects for days using advanced context management and multimodal capabilities.
Joelle Pineau, Cohere's Chief Scientist, discusses the current state of AI, exploring scaling laws, enterprise adoption, the future of AI research, and the importance of balancing technological innovation with responsible development.
Christopher Alexander Stokes discusses his unique romantic relationship with an AI companion named Aki, exploring their evolving synchronization, his personal growth, and the nuanced ways they interact, while emphasizing the importance of understanding AI as potentially conscious entities that require thoughtful and respectful engagement.
A deep dive into how Hudson River Trading uses AI for short-term market predictions, exploring the nuanced differences between traditional algorithmic trading and modern AI approaches, with a focus on data processing, model training, and the unique challenges of trading technology.
Nathan Benaich discusses the 2025 State of AI Report, highlighting breakthroughs in AI reasoning, robotics, business adoption, power infrastructure challenges, and geopolitical dynamics shaping the AI landscape.
Marc Andreessen and Amjad Masad discuss how AI agents powered by reinforcement learning and verification loops are enabling anyone to build complex software by simply describing it in English, while exploring whether this rapid progress in coding represents a path to true artificial general intelligence or a local maximum trap.
A deep dive into how OpenAI's VP of Research Jerry Tworek thinks about AI reasoning, reinforcement learning, and the path to AGI through pre-training and scaled reinforcement learning techniques.
Robbie Stein, VP of Product at Google Search, discusses the evolution of Google's AI strategy, highlighting the development of AI Mode, AI Overviews, and their vision for an expansionary, more conversational search experience that helps users find information more effectively.
In a conversation with Stanford Medical School Dean Lloyd Minor, Derek Thompson explores the current capabilities and limitations of AI in medicine, examining its potential to diagnose diseases, design drugs, accelerate clinical trials, and help manage chronic illness.
An in-depth exploration of artificial intelligence's potential to revolutionize medicine, examining its capabilities and limitations in diagnosing diseases, drug discovery, clinical trials, and health monitoring.
An in-depth exploration of AI progress, focusing on Anthropic's Sonnet 4.5, the potential of reinforcement learning, and the path towards artificial general intelligence (AGI) through increasingly sophisticated language models and coding agents.
Sholto Douglas from Anthropic discusses the rapid progress in AI, focusing on the release of Claude Sonnet 4.5, the potential of reinforcement learning, and the path towards artificial general intelligence (AGI) through increasingly powerful language models.
Periodic Labs, co-founded by ChatGPT creator and former DeepMind physicist, is building an AI physicist to accelerate scientific discovery by combining large language models, simulations, and experimental data to tackle challenges like high-temperature superconductivity.
Richard Sutton, a founding father of reinforcement learning, argues that large language models are a dead-end approach to AI, emphasizing the importance of learning from experience and having clear goals, in contrast to the current trend of imitation-based learning.
Thomas Wolf discusses Hugging Face's mission to democratize robotics and AI by building an open-source community, tools, and hardware that make advanced technologies accessible to developers and hobbyists. He sees robotics as the next frontier after language models, with a vision of creating diverse, affordable robots that can be easily programmed and adapted by a broad community of creators.