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Showing 13-24 of 50 showcases
In this excerpt from The Joe Rogan Experience, Joe Rogan and RZA reflect on movement, discipline, and the value of staying physically centered. The conversation covers exercise as a tool for mental balance, morning routines built around training before eating, and the challenge of cold plunges and ice baths as a test of willpower. They also touch on Shaolin philosophy, chi, and how consistent physical practice can support focus and well-being.
In this All-In Podcast excerpt, the hosts discuss New York City’s proposed pied-à-terre tax and whether it could reduce demand for second homes, slow development, and shift capital to other markets. The conversation also contrasts restrictive housing policy in blue-state cities with more permissive building in places like Austin, while touching on broader concerns about market behavior, wealthy buyers, and city vitality.
In this episode of The Diary Of A CEO, the conversation centers on a geopolitical risk report and the idea that the U.S. has become a major source of global uncertainty. The excerpt also explores China’s long-term buildup in critical minerals and electric vehicle supply chains, the possibility of a weaker global order without clear leadership, and the role of AI as a hidden systemic risk. The tone is serious but leaves room for a final question: whether these disruptions can be turned into something better.
In this excerpt, Jensen Huang pushes back on the idea that AI will automatically commoditize Nvidia. He describes Nvidia as the middle of a complex “electrons to tokens” transformation and says the hard part is the engineering, science, and ecosystem coordination required to make tokens valuable. The discussion also explores whether Nvidia’s moat depends on locking up scarce upstream components like memory, packaging, and EUV capacity, and Huang argues that demand signals, partner alignment, and long-term supply chain planning are what let the company scale.
In this conversation, Sam Harris speaks with Tristan Harris about the risks of AI, the limits of techno-optimism, and the importance of foresight. Drawing on lessons from social media and the history of nuclear fear, they discuss why incentives matter, how future harms can be predicted, and why public awareness may be needed to push for guardrails before a crisis forces action.
In this Dwarkesh Patel conversation, Michael Nielsen argues that the history of science is often much messier than the clean stories people tell afterward. Using Michelson-Morley, the ether, Lorentz transformations, and later muon experiments, the excerpt explores how scientific progress can emerge from competing theories, partial disconfirmation, and interpretive shifts rather than a simple, centralized method.
In this Lenny's Podcast conversation, Simon Wilson describes what he sees as an AI inflection point for software engineering: coding agents have become significantly more capable, enabling developers to produce far more code with less direct typing and more delegation. The episode explores how that shift changes day-to-day programming, why code has become the first major domain to be transformed, and what the rise of agentic workflows could mean for other kinds of knowledge work. It also raises the question of responsible use, especially when AI-generated tools affect other people.
In this excerpt, Karen Hao discusses the research behind her book on OpenAI and the wider AI industry, explaining how her reporting took her beyond Silicon Valley and into the real-world consequences of AI development. The conversation covers the origins of AI, the shifting definitions of AGI, and the idea that companies tailor their messaging to different audiences to support growth, funding, and influence. Hao also raises concerns about labor, creators, regulation, and environmental harm, while arguing that the same capabilities could potentially be developed in less damaging ways.
In this American Museum of Natural History panel debate, Neil deGrasse Tyson introduces a wide-ranging conversation about artificial intelligence with researchers and industry voices including Latanya Sweeney, Chris Callison-Burch, Cindy Rush, Nate Soares, Kate Crawford, and Eric Schmidt. The discussion touches on AI’s rapid progress, its practical uses, and the larger questions it raises about safety, accountability, labor, and the infrastructure behind modern AI systems.
In this Dwarkesh Patel conversation, Terence Tao uses the story of Kepler, Tycho Brahe, and Newton to think through what AI might change in mathematics and science. The excerpt focuses on the relationship between data, hypothesis generation, and verification, with Tao arguing that AI could make it cheap to propose many theories, but human and institutional systems still need to sort out which ones are actually worth believing.
In this Diary Of A CEO conversation, Daniel Priestley discusses why AI and robotics could fundamentally change the economy, disrupt traditional jobs, and elevate new forms of work. He reflects on the speed of technological change, the possibility of new business models emerging, and the skills he believes people should develop to stay relevant in an AI-driven future.
In this All-In Podcast segment, the hosts discuss the Iran war through a market and macro lens, focusing on Brent crude volatility, inflation forecasts, and the risk of broader escalation. They debate whether the conflict will remain a limited, short-duration campaign or turn into a prolonged quagmire, and why an off-ramp matters for markets and geopolitics. The conversation also briefly touches on State of the Union politics and the rollout of Trump accounts for kids.