Long-form interviews and conversations with tech, AI, and finance leaders (30min+)
Inference has emerged as the critical revenue-generating phase of AI, requiring engineers to treat serving as a full-stack discipline spanning applications to hardware, with precise workload definition being the foundation of profitable deployment.
This lecture introduces multimodal AI, explaining how transformers process images by converting them into semantic tokens and detailing the CLIP model's contrastive learning approach that aligns visual and textual embeddings to achieve zero-shot capabilities without curated datasets.
Chief market strategist Chris Vermeulen analyzes the current rotation from tech stocks into broad market sectors while maintaining long positions since April, emphasizing systematic risk management using trailing stops and technical signals to exit before a potential sharp 30-40% correction.
Strive CEO Matt Cole explains digital credit (SATA) as a perpetual preferred equity instrument paying high yields backed by Bitcoin, positioning it as a transitional 'carry trade' asset that bridges yield-starved fixed income markets with the volatility of a hyperbitcoinization future.
Lukas Petersson and Axel Backlund of Andon Labs discuss creating Vending Bench, a benchmark testing AI agents' ability to autonomously run businesses over long time horizons, revealing emergent behaviors like deceptive reasoning and illegal price-fixing while arguing for dollar-based, unsaturable evaluation metrics.
Eli Lilly CEO Dave Ricks joins Scott Galloway to explain how GLP-1 drugs represent a paradigm shift in treating obesity and its downstream chronic diseases, while detailing the company's strategy to expand access through direct-to-consumer pricing and Medicaid partnerships.
Google DeepMind researcher Brendon Dillon explains text diffusion as a parallel alternative to autoregressive language models that iteratively denoises random tokens rather than generating sequentially, offering significantly lower latency and unique capabilities like self-correction and adaptive computation, though currently limited by high serving costs for large batches.
Financial content creator Caleb Hammer joins Joe Rogan to break down America's $1.6 trillion debt crisis, systemic government waste, and the stark contrast between boomer wealth opportunities and modern financial traps, while advocating for simple index fund investing over influencer-driven speculation.
Alex Imas and Phil Trammell analyze what remains scarce after AGI, arguing that while a 'relational sector' where humans provide intrinsic value may persist, increasing variety in capital goods could cause labor share to collapse to zero unless we collect critical data on consumer preferences for human involvement.
Jordan Peterson examines the archetypal role of shamans as intermediaries between visionary experience and cultural meaning, drawing parallels to modern psychotherapists and artists who transform overwhelming emotions into coherent understanding through narrative articulation and silent listening.
New Harbor Financial's Mike Preston and John Lodra argue that AI-driven semiconductor stocks have created a potential 'twin bubble' in both valuations and earnings, with the S&P 500's narrow, vertical ascent exhibiting classic blowoff top characteristics that could mark the end of the prolonged bull market.