> 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 faster and outperform both of them. And…
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.
Do you know if OpenAI used the same grading criteria as official judges?
isn't he an IOI medalist? and even if he was an IMO medalist, isn't there a bit of a conflict of interests?
Do I understand it correctly that OpenAI self-proclaimed that they got their gold, without the official IMO judges grading their solutions?
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 directly - not hypothesize by the models'…
> 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 to, making impression they are the best…
I assure you, before the LLM race, those research shops (DM, FAIR) had many directors that didn't contribute to any product whatsoever.
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 promotion, without any company/business…
Those are likely for Cloud, used by clients.
FAIR is considerably downscaled from what it was before, in eg 2022.
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 super easy (~ self-approving by clicking a…
> 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 faster and outperform both of them. And…
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.
Do you know if OpenAI used the same grading criteria as official judges?
isn't he an IOI medalist? and even if he was an IMO medalist, isn't there a bit of a conflict of interests?
Do I understand it correctly that OpenAI self-proclaimed that they got their gold, without the official IMO judges grading their solutions?
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 directly - not hypothesize by the models'…
> 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 to, making impression they are the best…
I assure you, before the LLM race, those research shops (DM, FAIR) had many directors that didn't contribute to any product whatsoever.
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 promotion, without any company/business…
Those are likely for Cloud, used by clients.
FAIR is considerably downscaled from what it was before, in eg 2022.
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 super easy (~ self-approving by clicking a…