Why it matters
AI Engineer session on LLM Scientific Reasoning: How to Make AI Capable of Nobel Prize Discoveries: Hubert Misztela. It adds practical context for how teams are building and operating AI systems in production.
My takeaway: Useful for AI engineering because it grounds model adoption in concrete developer workflow, tooling, and product tradeoffs.