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WarpState: experimenting with dual-timescale associative memory + local attention for long-running LLMs

Hey everyone, I’m sharing a research project I’ve been working on called WarpState — an experimental language-model architecture exploring whether we can move away from storing an ever-growing history of token-level KV states and instead maintain a compact recurrent memory. The basic idea is: exact…

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  1. 2026-09-20 10:12 · r/OpenAI
    WarpState: experimenting with dual-timescale associative memory + local attention for long-running LLMs

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