Hugging Face policy chief on the difficulty of evaluating embedded AI
What happened
On 20 October 2026, TechCrunch reported that Irene Solaiman, chief policy officer at Hugging Face, said at TechCrunch Disrupt that evaluating embedded AI is no easy task. She noted that the reproducibility of evaluations depends on open weights, while current evaluation methods remain an evolving science that are hard to compare effectively and go stale quickly. She also said evaluation is shifting from testing the model itself to testing the whole system, including the harness and agents; a better harness can let a weaker model surpass a frontier model, and agent evaluations are both difficult and expensive.
Written by AI from the reports · updated 3 h ago
Timeline
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- TechCrunch · AIEmbedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says
AI labs have staked their reputations on model benchmarking — the supposedly neutral and accurate system of evaluations that are designed to measure whether one AI product is better than another.
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