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nomad_horse

HN member
Joined
Wed, Aug 30, 2023, 9:12 AM UTC
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71
Public activity
12 items

About nomad_horse

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Recent public activity

  1. comment
    Comment #45180036

    > Voxtral outperforms Whisper Can I stop you right here? Whisper is a few years old and it wasn't the best model for a long time. There are like 10 models that are smaller and fast…

  2. comment
    Comment #44887326

    Whisper has the encoder-decoder architecture, so it's hard to run streaming efficiently, though whisper-streaming is a thing. https://kyutai.org/next/stt is natively streaming STT.…

  3. comment
    Comment #44638600

    Do you know if OpenAI used the same grading criteria as official judges?

  4. comment
    Comment #44637903

    isn't he an IOI medalist? and even if he was an IMO medalist, isn't there a bit of a conflict of interests?

  5. comment
    Comment #44637657

    Do I understand it correctly that OpenAI self-proclaimed that they got their gold, without the official IMO judges grading their solutions?

  6. comment
    Comment #44596809

    There are larger models in there, a 8B and a 6B. By this logic they should be above 2B model, yet we don't see this. That's why we have open standard benchmarks, to measure this di…

  7. comment
    Comment #44596133

    > brought back competitive open source audio transcription Bear in mind that there are a lot of very strong _open_ STT models that Mistral's press-release didn't bother to compare …

  8. comment
    Comment #42507568

    I assure you, before the LLM race, those research shops (DM, FAIR) had many directors that didn't contribute to any product whatsoever.

  9. comment
    Comment #42505271

    Yet your Google Research colleagues still earned way more than in academia, even without the promo. Plus, there were quite a few places where a good publication stream did earn a p…

  10. comment
    Comment #41412377

    Those are likely for Cloud, used by clients.

  11. comment
    Comment #40715375

    FAIR is considerably downscaled from what it was before, in eg 2022.

  12. comment
    Comment #37319421

    I think all FAIR researchers and engineers are aware of the NC-CA license limitations. They still use it because releasing the code for an already approved paper under NC-CA is sup…