Mistral Releases Deep Research, Voice, Projects in Le Chat

Post by Kostic » Thu, Jul 17, 2025, 6:49 PM UTC

Nezteb wrote: post #26

bee_rider wrote: post #18

Earlier quoted context omitted.

A major reason I haven’t really tried any of these things (despite thinking they are vaguely neat). I think I will wait until… 2026, second half, most likely. At least I’ll check if we have local models and hardware that can run them nicely, by then. Hats off to the folks who have decided to deal with the nascent versions though.

Depending on the definition of "nicely", FWIW I currently run Ollama sever [1] + Qwen Coder models [2] with decent success compared to the big hosted models. Granted, I don't utilize most "agentic" features and still mostly use chat-based interactions. The server is basically just my Windows gaming PC, and the client is my editor on a macOS laptop. Most of this effort is so that I can prepare for the arrival of that…

Post by vouaobrasil » Thu, Jul 17, 2025, 6:54 PM UTC

tdhz77 wrote: post #3

I’m struggling with MRF. Model Release Fatigue. It’s a syndrome of constantly context switching new large models. Claude 4, gpt, llama, Gemini 2.5, pro-mini, mistrial. I fire off the ide switch the model and think oh great this is better. I switch to something that worked before and man, this sucks now. Context switching llm, Model Release Fatigue

Post by sva_ » Thu, Jul 17, 2025, 6:56 PM UTC

tdhz77 wrote: post #3

I’m struggling with MRF. Model Release Fatigue. It’s a syndrome of constantly context switching new large models. Claude 4, gpt, llama, Gemini 2.5, pro-mini, mistrial. I fire off the ide switch the model and think oh great this is better. I switch to something that worked before and man, this sucks now. Context switching llm, Model Release Fatigue

Post by nomad_horse » Thu, Jul 17, 2025, 6:57 PM UTC

espadrine wrote: post #41

nomad_horse wrote: post #27

Earlier quoted context omitted.

> 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 new open thing since Whisper. Here is an open benchmark: https://huggingface.co/spaces/hf-audio/open_asr_leaderboard . The strongest model Mistral compared to is Scribe, ranked 10 here. This benchmark…

The best model there is 2.5B parameters. I can believe that a model 10x bigger is somewhat better. One element of comparison is OpenAI Whisper v3, which achieves 7.44 WER on the ASR leaderboard, and shows up as ~8.3 WER on FLEURS in the Voxtral announcement[0]. If FLEURS has +1 WER on average compared to ASR, it would imply that Voxtral does have a lead on ASR. [0]: https://mistral.ai/news/voxtral

Post by seszett » Thu, Jul 17, 2025, 6:57 PM UTC

echelon wrote: post #40

ivape wrote: post #30

Earlier quoted context omitted.

We’re also headed into a world where there will be very few open weight models coming out (Meta going closed source, not releasing Behemoth). This era of constant model releases may be over before it even started. Gratitude definitely needs to be echoed.

If China stays open, then the rest of the world will build on open. I'm frankly shocked that a domestic player isn't doing this. Fine tuning will work for niche business use cases better than promises of AGI.