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The billion-token case for stateless agents.

This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.

When a long agent run stalls, the reflex is to give it more. More tokens, longer sessions, bigger context windows. The assumption underneath is that experience compounds, so an agent that remembers everything it has tried should keep getting smarter as the run goes on. A new paper, Stateless Langua…

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  1. 2026-10-26 05:39 · DEV Community — AI
    The billion-token case for stateless agents.

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