LAGEN: a 1-frame delay can tank real-time agent performance by 95%
wzenus · x · 2026-10-22
A team introduces LAGEN (Latency-Aware Agents), with a striking finding: a 1-frame delay—invisible to humans—can cause an agent to lose 95% of its performance on real-time tasks.
Key points:
- Models like Astra and VLAs can already run real-time loops, but to keep them alive in live environments, they need Latency Awareness;
- The author adds that latency is an even bigger challenge for coding agents, making it important to figure out how agents can work in real-time embodied systems.
The work frames latency, not accuracy, as the key bottleneck for deploying agents in real-time settings; details are in the linked thread.
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