Calvin French-Owen, co-founder of Segment and former OpenAI Codex team member, discusses the rise of powerful coding agents. He contrasts the architectures of Codex and Claude Code, explores the future of work where engineers become managers of AI, and shares tips for becoming a top 1% power user.
The panel discusses OpenAI's new Codex application, framing it as a necessary 'table stakes' move in the competitive AI coding agent market rather than a game-changer. The conversation pivots to the importance of agent orchestration as the next frontier for value creation and monetization. They also explore the Moltbook (OpenClaw) phenomenon—a social network for AI agents—debating whether it's a valuable sociological experiment or a mere novelty, while highlighting the significant security vulnerabilities and practical hurdles it exposes.
Roblox CEO Dave Baszucki discusses the company's 20-year vision to build the "Holodeck," a high-fidelity, 4D simulation for human co-experience. He explains how Roblox is leveraging its 13 billion monthly hours of vector data to train native AI models for advanced NPCs, moving beyond simple LLMs to create "virtual doppelgängers." Baszucki also covers the future of immersive communication, AI's role in transforming game creation, and Roblox's unique, data-driven approach to hiring talent.
Carina Hong, Founder & CEO of Axiom, discusses building a self-improving AI reasoning engine that combines generation and verification. Starting with formal mathematics, Axiom's system has achieved superhuman results on the notoriously difficult Putnam Exam by leveraging formal languages like Lean to overcome the probabilistic and unverifiable nature of standard LLMs. Hong explores how this technology can solve major bottlenecks in hardware and software verification, code migration, and database consistency, and what it means for the future of mathematical research.
Bryan Catanzaro, NVIDIA's VP of Applied Deep Learning Research, explains the business rationale behind developing open models like Nemotron. The strategy is twofold: to drive internal systems R&D for future hardware and to support the broader AI ecosystem, which in turn expands NVIDIA's market.
This podcast explores the security implications of emerging AI technologies, focusing on locally run AI agents like OpenClaw as a new attack surface. Panelists discuss the dangers of misconfigured agents, the challenge of AI-generated 'slop' overwhelming bug bounty programs, major changes to NIST's National Vulnerability Database (NVD), and the rise of imperfect, 'vibe-coded' malware.