Harness May Matter More Than Model for Long-Horizon Agents
Rohan Paul shares a paper arguing benchmark scores overlook harness importance.
TLDR
Machine learning engineer Rohan Paul, based in Bengaluru and known as a Kaggle Master plus daily AI newsletter writer, posted a retweet stating that a paper on long-horizon agents claims the harness can matter more than the model. The message adds that benchmark scores should not be taken at face value without that consideration. The post appears among visible replies on X from the creator account tagged for its primary publishing focus.
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1 Source, first seen 29d ago