Long-form interviews and conversations with tech, AI, and finance leaders (30min+)
David Cervantes argues the current equity drawdown is a routine 10% correction rather than a bear market, predicting fixed income will suffer most as the Fed maintains hawkish rates amid resilient labor markets, while Middle East energy disruptions create tactical opportunities in supply chain choke points with pricing power.
Cursor co-founder Aman traces AI coding's evolution from autocomplete to synchronous agents, outlining the shift toward long-running async cloud agents that use multi-agent architectures to overcome context limits, and predicting a future of self-driving codebases with self-healing systems and minimal human intervention.
Jordan Peterson examines how moral systems emerge from pre-verbal intuitions of fairness, the catastrophic consequences of accumulated micro-deceptions, and the archetypal divergence between Cain and Abel as the foundational conflict between resentment and proper sacrifice.
VanEck CEO Jan van Eck argues Q2 presents a rare opportunity to bargain hunt across multiple bottoming markets including AI semiconductors, gold, and Bitcoin, while revealing proprietary data showing enterprise AI adoption is exploding in token usage even as efficiency gains flatten API call growth.
Keith Rabois shares contrarian frameworks for the AI era, arguing that product managers must evolve into CEO-like strategists, that high-performance cultures must sacrifice psychological safety for results, and that founders should ruthlessly prioritize hiring "barrels" (independent drivers) over "ammunition" (executors) to avoid scaling burn without output.
Evan Spiegel explains how studying Edwin Land and his education at Crossroads School shaped Snap's mission to build technology that combats isolation by prioritizing human connection, present-moment awareness, and ephemerality over permanent, judgmental social feeds.
Tom Rein explains how drones enable asymmetric warfare and transform public safety operations, while detailing his company TAF Drones' mission to build cost-effective, modular American-made police drones to replace banned Chinese DJI units that previously dominated 80% of the market.
Industry leaders from NVIDIA, Hugging Face, Mistral AI, Black Forest Labs, and Lightricks discuss how open-source inference optimization—spanning quantization, latent compression, and Mixture of Experts architectures—is enabling both massive trillion-parameter models and efficient edge deployment while driving the shift toward sovereign AI and local data control.
AI safety researcher Ajeya Cotra warns that we are entering "crunch time"—a critical window where AI systems become capable of recursive self-improvement and automating AI R&D, potentially compressing 10,000 years of technological progress into decades while remaining briefly within human control.
Former OpenAI researchers now leading frontier startups explain how reinforcement learning has evolved from game-playing agents to powering enterprise automation and scientific discovery, requiring new scaling paradigms focused on inference compute and long-horizon reasoning rather than just pre-training FLOPs.
Jordan Peterson argues that psychological health depends on maintaining a dynamic balance between order and chaos through the act of paying attention, explaining that nihilism and despair emerge when this balance collapses, while meaning arises from optimally mediating between the known and unknown.
ElevenLabs CRO Carles Raina details how the company is building an AI-native revenue organization with aggressive 20x sales quotas and custom AI agents for inbound, proposals, and customer success, while redefining customer success as a profit center rather than a cost center.