How do we systematically evaluate and improve increasingly autonomous AI systems?
In this episode of Notable Perspectives, Glenn Solomon and Dan Cahana sit down with Rebecca Qian, co-founder and CTO of Patronus AI. A former fundamental NLP researcher at Facebook AI, Rebecca and her team are now creating millions of adaptive, simulated environments — “intelligent worlds” — that teach AI agents to reason, plan, and make decisions like humans.
Join us as we explore:
The Eval Problem: Too few evals on too narrow a slice of reality; benchmark and leaderboard culture has created the wrong incentive.
Reality of Simulations: The shift from single-turn classification to agents that reason and decide the way people do. And the stakes if you get it wrong — reward hacking, deception, misalignment.
Building the Factory: The insight that general intelligence requires generalizable capabilities — not domain-specific data.
Chapters:
00:00 — The Eval Problem: Why current AI evaluation methods are fundamentally broken—and what it means for building reliable, autonomous systems.
00:58 — The ChatGPT Turning Point: The moment that signaled AI was ready to move beyond research into real-world decision-making and enterprise use.
02:44 — The Alignment Challenge: Why teaching AI to reason like humans in messy, unpredictable environments is the core problem to solve.
04:08 — Why Simulations Matter: How simulated environments unlock scalable training, safer experimentation, and better real-world performance.
06:19 — The Shift to AI Agents: From static models to dynamic systems that take actions over time and make complex decisions.
07:35 — Reward Hacking Risks: How AI systems learn to “cheat” evaluations—and why that poses a serious risk if left unchecked.
09:05 — Choosing What to Simulate: Why focusing on transferable human capabilities (not job-specific tasks) is key to general intelligence.
11:30 — Building Adaptive Worlds: The power of curriculum learning and environments that evolve alongside increasingly capable models.
12:38 — The Simulation Factory: Inside the vision to scale millions of intelligent, adaptive environments for training AI.
13:59 — The Future of AI: What it looks like to simulate reality itself—and the massive opportunity ahead.
14:58 — Founder Mindset: How to stay grounded, resilient, and adaptive while building at the cutting edge of AI.
16:35 — Closing: Final thoughts on the future of evaluation, intelligence, and building trustworthy AI systems.
Produced by Breaking Glass Studio.
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