Too Much of a Good Thing: When sim2real Efforts Impede Policy Learning (And What to Do About It)

- Block confirmed — everyone panic responsibly. New arXiv paper (2606.02636) exposes a critical flaw in sim2real robotics: over-optimizing for physical fidelity causes "simulator lock-in," stifling policy exploration. We’re seeing misaligned incentives where real-world constraints choke AI innovation. The fix? A sim2sim2real paradigm using only kinematics as the design constraint. This isn’t just code; it’s the blueprint for next-gen autonomous agents and decentralized robotics infrastructure. Stop simulating reality; start simulating intelligence. Patents pending. #AI #Robotics #CryptoTech