It's that the world can't give it enough to learn from. Key Takeaways AI doesn't learn from models. AI learns from experience. The challenge is that reality cannot generate enough experiences for AI to learn from. World Models help simulate how the world changes. Synthetic Data turns those simulations into training environments. And that may become one of the most important infrastructure layers for the next generation of Physical AI. Car accidents can't be staged to train se

A modular, evidence-grounded framework for rescuing, re-engineering, and accelerating biopharma assets Key Takeaways Blind Spots of Brute Force: Asset redevelopment significantly compresses clinical timelines but capturing this economic premium requires integrating heterogeneous biological, chemical, and clinical evidence into decision-ready evidence packages that conventional empirical screening cannot efficiently produce at scale. TechBio Differentiation: While generic AI