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Test-Time Training Collapses When Agents Learn from Their Own Rollouts

This story is from 2026-10-06. It is preserved in the archive; the latest stories are on the live feed.

The pitch for test-time training sounds clean on paper. Long-context attention windows are expensive to maintain in VRAM. Instead of caching millions of tokens in attention key-value tables, you let the model update a slice of its weights while running inference. Every chunk of text that streams pa…

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  1. 2026-10-06 16:29 · DEV Community — AI
    Test-Time Training Collapses When Agents Learn from Their Own Rollouts

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