Long-form interviews and conversations with tech, AI, and finance leaders (30min+)
Andrew Wilson recounts his transition from robotics mechanic to political commentator during COVID lockdowns, while he and Rogan analyze the lifecycle of conspiracy theories, the biological reality behind wilderness disappearances, and the ecological consequences of predator mismanagement.
Anthropic CEO Dario Amodei's new essay predicts AI will automate entire professions within 1-2 years, potentially creating a 50% underclass while enabling totalitarian surveillance states, though the narrator questions the timelines and notes potential conflicts of interest in Amodei's policy recommendations.
Bill Winters details Standard Chartered's unique 'connector bank' model bridging emerging markets and global finance, while recounting his decade-long turnaround from regulatory crisis and massive write-downs to restored credibility, emphasizing that prioritizing regulators over shareholders and rebuilding team integrity were essential to saving the franchise.
OpenAI launches Prism, a free AI-native LaTeX editor powered by GPT-5.2 that eliminates context-switching for scientists by embedding reasoning capabilities directly into academic writing workflows, from converting hand-drawn diagrams to verifying complex equations.
The NFL evolved from a violent 19th-century college ritual into America's most valuable media property by strategically legitimizing professional play through strict separation from amateur football and pioneering equal revenue sharing, while modern streaming deals and private equity investment continue to reshape the league.
Even perfectly aligned AI that faithfully follows human instructions could lead to gradual human disempowerment through economic, political, and cultural mechanisms, as competitive pressures and structural incentives progressively marginalize human participation in civilization.
Fine-tuning large language models risks sudden catastrophic failure of safety guardrails, which break abruptly rather than gradually like capability metrics. Researchers demonstrate that dynamically segmenting training data into safe and unsafe portions—instead of binary filtering—maintains both safety alignment and model performance.
AI infrastructure deployment is unprecedented with $400B in annual capex from tech giants, while input costs have plummeted 99% and user adoption occurs 5x faster than previous tech cycles. However, energy availability and cooling technology will become the critical bottlenecks constraining growth over the next five years, even as business models evolve to capture value through price discrimination and high retention rates.
Dr. David Eagleman explains that neuroplasticity allows the human brain to constantly reconfigure its 86 billion neurons throughout life, emphasizing that maintaining this flexibility requires continuously seeking novel challenges rather than repeating mastered skills, while modern tools like AI can enhance critical thinking when leveraged through curiosity-driven inquiry.
Tyler Muir explains that Quantitative Easing operates primarily as a state-contingent commitment that backstops financial intermediary balance sheets during crises, challenging traditional "Wallace neutrality" by demonstrating that asset prices are set by constrained intermediaries rather than representative households, creating immediate market impacts through policy announcements alone.
Dominic Williams outlines the Internet Computer as a 'sovereign cloud' enabling tamperproof, unstoppable applications built by AI through natural language prompts, representing a fundamental reimagining of cloud computing that intersects with critical debates around AI safety and decentralized control.
![If You Can't See Inside, How Do You Know It's THINKING? [Dr. Jeff Beck]](https://i.ytimg.com/vi/Ucqfb33GJJ4/hqdefault.jpg)
Dr. Jeff Beck argues that agency cannot be verified from external behavior alone, requiring instead evidence of internal planning and counterfactual reasoning, while advocating for energy-based models and joint embedding architectures as biologically plausible alternatives to standard function approximation.