Jun 17, 2026

🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI

Joseph Krause, CEO of Radical AI, details how his company uses Self-Driving Labs (SDLs) and AI scientists to overcome the experimental bottleneck in materials science. By automating the full loop of hypothesis generation, synthesis, characterization, and testing, Radical AI is accelerating the discovery of novel alloys for aerospace, defense, and semiconductor applications, achieving 10x the pace of traditional methods. Krause explains why materials science is uniquely challenging for AI, how human intuition trains the AI, and why experimental data, not models, forms the core competitive advantage in this rapidly evolving, geopolitically significant field.

Jun 17, 2026

Women in AI | The Founders & Builders Flipping the Script | Event | Creator's Cut | Mar 2026 | 4K

This Creator's Cut of The AI Space Podcast features women leaders across motorsports, tech staffing, AI design, and MedTech. They discuss actionable strategies for 2026, emphasizing why AI adoption hinges on fitting user workflows, the irreplaceable value of authentic human voice, and the necessity of robust processes for scaling businesses. The panel explores AI's impact on job markets, healthcare, creative industries, and ethical development, offering practical advice for founders and professionals.

Jun 17, 2026

How To Pick A Startup Idea

Jon Xu, a YC General Partner, argues against the "perfect idea" trap and juggling multiple startup concepts. He advocates for founders to commit deeply to a single idea, immersing themselves in customer problems to the point of understanding their business intimately. This approach, especially vital in the AI era, involves building at the frontier of technology, verticalizing to own outcomes, and aiming for the most ambitious version of a solution, ultimately yielding invaluable insights and potential for pivot, even if the initial idea doesn't succeed.

Jun 17, 2026

Growing & Thriving in a Multi-model World • Alberto Brandolini • GOTO 2025

Alberto Brandolini delivers a compelling talk on how to combat software model decay and avoid the "Big Ball of Mud" by strategically applying Domain-Driven Design principles, especially Bounded Contexts. He emphasizes the critical role of visual thinking, structured architectural discussions, and organizational habits in maintaining clean, evolvable systems, particularly when scaling across teams and international markets. The talk highlights the need for continuous design effort, disciplined decision-making, and proactive identification of model boundaries to build resilient software in complex socio-technical landscapes.

Jun 17, 2026

AI agents can manage your passwords. Should we let them? Plus: The biggest Patch Tuesday ever.

This episode of Security Intelligence delves into three critical cybersecurity topics: the implications of AI agents managing passwords, the impact of AI on vulnerability discovery and "Patch Tuesday" volumes, and the C-suite's evolving appetite for cyber risk in pursuit of innovation. Experts discuss the promises, pitfalls, and necessary strategic shifts in an AI-driven security landscape.

Jun 16, 2026

Why Tejal Patwardhan stopped underestimating the models - Episode 21

Tejal Patwardhan, head of OpenAI's frontier evals team, discusses the critical evolution of AI evaluations. She explains why traditional benchmarks fail as models become more capable, how OpenAI develops realistic, long-horizon tests (including groundbreaking wet lab experiments), and the implications of rapidly advancing multimodal and reasoning models for scientific discovery and the future of human work.