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    YC Paper Club's AI inference session planned for October 21, 2026

    A post promoting the session says well-tuned inference could differ from naive setups by 100-fold in latency and cost.

    Francois ChaubardFC
    1 Source, 1h ago, first seen 1h ago

    TLDR

    An October 8 post announced a YC Paper Club session on AI inference for October 21, 2026. It argues that inference is now as complex and important as training, and that tuning could make a 100-fold difference in latency and cost compared with naive inference. The speaker list names Dan Fu of Together AI, Jeffrey Morgan of Ollama and Steven Arellano of Wafer, with a SGLang/RadixArk speaker still to be named.

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    1 Source

    Francois Chaubard@FrancoisChauba1Next YC Paper Club: Inference Inference is no longer just: y = model.forward(x) It has now become as complex and important as training. The difference between naive inference and well tuned could be 100X in latency and cost. So we gather some of the best researchers on SOTA inference to discuss this in depth. Wednesday, 10.21, 5-9pm, MV Speaker List: - Dan Fu (Together AI) @realDanFu - Jeffrey Morgan (ollama) @ollama - Steven Arellano (Wafer) @wafer_ai - TBD from SGLang/RadixArk @sgl_project @radixark Sign up here: https://events.ycombinator.com/yc-paperclub-oct21 @ycombinator1h
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