Stateless agents cut long‑horizon token usage
Current long‑horizon LLM agents burn tokens at a rate that makes billion‑step research infeasible. Their prompts grow as every intermediate result is replayed, leading to duplicated effort and runaway costs. Decoupling durable state from the model’s active context, as proposed by Stateless Language…
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- 2026-10-24 05:00 · DEV Community — Machine Learning
Stateless agents cut long‑horizon token usage