RL training bottleneck shifts: Env interaction latency bound
JoshPurtell · x · 2026-08-24
RL trajectories are becoming increasingly latency-bound by environment interactions. Real-world state transitions (e.g., waiting for humans or inner-loop training runs) are fundamentally incompressible in time, while model inference costs are dropping dramatically. This gap will likely become a critical bottleneck.
Related event: Real-World Latency Will Push RL Toward World-Model Simulation(2 posts)→
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