A deep dive into how fine-tuned Small Language Models (SLMs) and RAG systems can be combined to create personalized AI agents that learn user-specific workflows, emulate decision-making, and collaborate with humans, moving beyond conversational interfaces to direct action within enterprise environments.
David Sacks details the Trump administration's strategy for AI and crypto, focusing on unleashing permissionless innovation, combating regulatory capture, and winning the global AI race through infrastructure and open source, while warning against the rise of "Orwellian AI."
Michael Nygard, author of 'Release It!', discusses his experiences at Sabre and Nubank, offering deep insights into balancing autonomy and centralization, the practical implications of Conway's Law, and how architectural boundaries can reduce organizational friction and the need for constant alignment.
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AI's "dirty secret" is its deep reliance on human intelligence. Phelim Bradley, CEO of Prolific, explains how his platform provides the critical human data infrastructure for training and evaluating frontier models, emphasizing the shift from commoditized labor to a sophisticated marketplace of verified expertise.
Melanie Perkins, co-founder and CEO of Canva, shares the core philosophies that propelled the company to a $42 billion valuation. She details her 'Column B' thinking—building towards a dream future rather than from existing constraints—and explains how setting 'crazy big goals' and systematically learning from over 100 investor rejections were crucial. Perkins also discusses surviving a two-year technical rewrite without shipping features and Canva's foundational 'two-step plan' to build a valuable company and use its wealth to do the most good possible.
In a reflective and forward-looking conversation, Daniel Terhorst-North and Kevlin Henney explore the evolution of software development over the past 20 years and predict the key challenges and innovations for the next 20. They delve into the philosophy of programming language design, the critical need for hardware-sympathetic programming, the untapped potential of concurrency models like CSP and the Actor Model, and the future of user interfaces and decentralized technology.