Has mistral just stopped doing open source? I feel like I haven't seen an open model from them in a while, and not many people are talking about this.
If it was an american company, or a chinese company, i feel like it'd be every comment.
Has mistral just stopped doing open source? I feel like I haven't seen an open model from them in a while, and not many people are talking about this.
If it was an american company, or a chinese company, i feel like it'd be every comment.
It does feel like they have given up on being a torch-bearer for open models, but to be fair, their latest open-weight release[0] was just a week ago, for Timestral.
[0] https://huggingface.co/collections/mistralai/timestral
Speech-to-text models are a lot less open than text-generation models. There's a lot less competition in the space. I can also see this space being enterprise heavy, and could command more dollar premiums. I noticed this when shopping for a STT model for a vibe-coded transcription app. You'd need to pay to get the good ones that support diarisation. There's okay ones that support simple transcription that are open. The good ones charge a premium.
It’s so surprising to me that diarisation and voice recognition are positioned almost entirely outside of the “public good” AI work.
We have voice cloning at a level that would have felt like a miracle a couple years ago, and yet doing the reverse is some sort of hush hush $$$$ work?
My only thought is the people in charge don’t want the public to know the privacy nightmare that they can now be instantly recognized snd transcribed anywhere there’s a mic