Will Silicon Valley’s Big Bet on RL Environments Pay Off?

Silicon Valley is increasingly investing in RL environments —simulated “training grounds” where AI agents can perform multi-step tasks rather than just learning from static datasets. These environments allow agents to use tools, interact with software, and adapt to unexpected behaviors. But there are trade-offs: cost, complexity, risk of “reward hacking,” and questions about whether scaling will be feasible.