Long-WAM: Does Longer Visual Context Improve Real-Time Robot Control?
Can longer video histories make robot manipulation more reliable without making control too slow? This episode examines Long-WAM to clarify when temporal context helps, what autoregressive pretraining contributes, and how to interpret the deployment evidence. We focus on three questions: whether the context-scaling study isolates the effect of pretraining, whether predicting future visual latents improves actions enough to justify its cost, and what the reported inference latency does—and does not—measure. We connect the work to Fast-WAM's investigation of test-time imagination, LingBot-VA…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.