MLCommons

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• Dave Graham@davegraham.bsky.social01-04-2026 17:22

  @mlcommons.org maintains a few repositories of people’s speech for AI training (which was done consensually and is made open). I’m sure there’s places that would love to maintain this archive if provided.

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• Scott Wasson@scottwasson.bsky.social01-04-2026 17:22

  MLPerf Inference 6.0 results are out! Lots of new goodness here, including a bunch of new benchmark tests (and models) and some very large clusters reaching new peak performance numbers.

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• Elena Simperl@elenasimperl.bsky.social20-02-2026 00:45

  So proud to co‑chair this work. It has been almost two years in the making and I'm grateful to the many brilliant colleagues who contributed their ideas, feedback, and energy.

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• eleutherai.bsky.social@eleutherai.bsky.social20-02-2026 00:45

  Announcing our latest paper: CommonLID In collaboration with @commoncrawl.bsky.social @mlcommons.org @jhu.edu we built a LID benchmark on actual Common Crawl text covering 109 languages. Existing evaluations overestimate how well LangID works on web data. arxiv.org/abs/2601.18026

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• Dave Graham@davegraham.bsky.social04-02-2026 18:29

  We’re doing testing on jailbreaking most of the modern Agentic interfaces today at @mlcommons.org. You can take a look at some of our artifacts here: mlcommons.org/ailuminate/j... Suffice it to say, these types of exploits are real (as you’ve noted), very dangerous (again, noted) & persistent

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