Dave Thomas, co-author of 'The Pragmatic Programmer,' discusses his new book 'Simplicity,' arguing that modern Agile has failed. He introduces his Orient-Step-Learn framework as a path for individual developers to regain agency, build intuition through deliberate practice, and master the art of creating minimal, elegant solutions by cutting away complexity.
A deep dive into OpenAI's AgentKit, the IBM-Anthropic partnership focusing on the Agent Development Lifecycle (ADLC), the mathematical concept of modular manifolds for stabilizing model training, and a critical analysis of AI's real-world impact on professions like radiology.
Jason Droege, CEO of Scale AI, discusses the evolution of AI training from simple labeling to complex, expert-driven tasks. He shares insights on the future of AI agents, the reality of enterprise AI adoption, and crucial business lessons learned from building Uber Eats from zero to a multi-billion dollar business.
Eric Zelikman, formerly of Stanford and xAI, discusses his research on AI reasoning (STaR, Q-STaR) and introduces his new venture, humans&. He argues for a paradigm shift from building AI with pure IQ to AI with EQ, focusing on long-term memory, human collaboration, and empowering users to achieve their full potential.
Zhen Lu, CEO of Runpod, discusses the shift from Web 2.0 architectures to an "AI-first" cloud. The conversation covers the unique hardware and software requirements for production AI, key use cases like generative media and enterprise agents, and the critical challenges of reliability and operationalization in the new AI stack.
Sam Altman and Jony Ive discuss their collaboration on new AI hardware, exploring a design philosophy rooted in care, craft, and improving human well-being. They delve into the creative process, the challenges of building amidst rapid technological change, and their vision for AI-powered tools that are intuitive, joyful, and foster genuine connection rather than anxiety.