---
title: "Embedded AI evaluators won&#8217;t be an easy solution, Hugging Face&#8217;s policy chief says"
type: signal
url: https://frontiernewswire.com/s/embedded-ai-evaluators-won-8217-t-be-an-easy-solution-hugging-face-ff88058a
published: 2026-10-19T22:49:27.000Z
byline: "Source: TechCrunch AI"
---

# Embedded AI evaluators won\&\#8217;t be an easy solution, Hugging Face\&\#8217;s policy chief says

Source: TechCrunch AI · Published 2026-10-19 · Canonical: https://frontiernewswire.com/s/embedded-ai-evaluators-won-8217-t-be-an-easy-solution-hugging-face-ff88058a

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. However, the methods behind these evaluations are complicated and still maturing, said Irene Solaiman, Hugging Face\&\#8217;s chief policy officer, during a discussion at TechCrunch \[\&\#8230;\]

## Sources

- [Read the original at TechCrunch AI](https://techcrunch.com/2026/10/19/embedded-ai-evaluators-wont-be-an-easy-solution-hugging-faces-policy-chief-says)

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