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Mistral Releases Deep Research, Voice, Projects in Le Chat

mistral.ai

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Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#61

Post by Uehreka »

bee_rider wrote: post #18
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

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.

When ChatGPT, then Llama, then Alpaca came out in rapid succession, I decided to hold off a year before diving in. This was definitely the right choice at the time, it’s becoming less-the-right-choice all the time.

In particular it’s important to get past the whole need-to-self-host thing. Like, I used to be holding out for when this stuff would plateau, but that keeps not happening, and the things we’re starting to be able to build in 2025 now that we have fairly capable models like Claude 4 are super exciting.

If you just want locally runnable commodity “boring technology that just works” stuff, sure, cool, keep waiting. If you’re interested in hacking on interesting new technology (glances at the title of the site) now is an excellent time to do so.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#62

Post by criemen »

bangaladore wrote: post #51

If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed. There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.

Perplexities isn't bad? Although I lack the OpenAI subscription to compare.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#63

Post by koakuma-chan »

pablonaj wrote: post #39
M4v3R wrote: post #29

I think they've buried the lede with their image editing capabilities, which seem to be very good! OpenAI's model will change the whole image while editing messing up details in unrelated areas. This seems to perfectly preserve parts of the image unrelated to your query and selectively apply the edits, which is very impressive! The only downside is the output resolution (the resulting image is 1184px wide even though…

They are using Flux Kontext from Black Forest Labs, fantastic model.

So Mistral is just hosting a Flux model?

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#64

Post by freedomben »

vouaobrasil wrote: post #44
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

An alternative: don't use LLMs. Focus on the enjoyment of coding, not on becoming more efficient. Because the lion's share of the gains from increased efficiency are mainly going to the CEOs.

This might be good short term advice, but in the medium and long term I think devs who don't use any AI will start to be much slower at delivery than devs who do. I'm alreay seeing it IRL (and I'm not a fan of AI coding, so this sucks for me)

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#65

Post by dust42 »

chickenzzzzu wrote: post #60

[flagged]

Actually Le Chat is french for the (male) cat. Also 'Le Chat' is a well known laundry detergent (of german origin - Henkel company). The headline 'Le Chat takes a deep dive' means 'the cat takes a deep dive'. As there is a cooperation with (german) Black Forest Labs, this is all pretty funny for a french speaking person. 'La Chatte' is the female cat. And also colloquial for female private parts.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#66

Post by freedomben »

bangaladore wrote: post #51

If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed. There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.

I've gotten pretty different results from OpenAI and Gemini, though it's hard to say one is better/worse than the other. Just different

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#67

Post by ripley12 »

bangaladore wrote: post #51

If you haven't tried OpenAI's deep research feature, you are missing out. I'm not sure of any good alternatives, I've tried Google's, and I'm not impressed. There is a lot of value to say engineers doing tradeoff studies using these tools as a huge head start.

Anthropic's Research is pretty good; I'd say on par with OpenAI.

Agreed about Google, accuracy is a little better on the paid version but the reports are still frustrating to read through. They're incredibly verbose, like an undergrad padding a report to get to a certain word count.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#68

Post by Squarex »

koakuma-chan wrote: post #63
pablonaj wrote: post #39

Earlier quoted context omitted.

They are using Flux Kontext from Black Forest Labs, fantastic model.

So Mistral is just hosting a Flux model?

Yes, but it's great that they are both made by european companies.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#69

Post by ivape »

freedomben wrote: post #64
vouaobrasil wrote: post #44

Earlier quoted context omitted.

An alternative: don't use LLMs. Focus on the enjoyment of coding, not on becoming more efficient. Because the lion's share of the gains from increased efficiency are mainly going to the CEOs.

This might be good short term advice, but in the medium and long term I think devs who don't use any AI will start to be much slower at delivery than devs who do. I'm alreay seeing it IRL (and I'm not a fan of AI coding, so this sucks for me)

Slower in initial delivery maybe, but the maintenance and debugging of production applications requires intimate knowledge of the code base usually. The amount of code AI writes will require AI itself to manage it since no human would inundate themselves with that much code. Will it be faster even so? We simply won’t know because those vibe coded apps have just entered production. The horror stories can’t be written yet because the horror is ongoing.

I’m big on AI, but vibe coding is such a fuck around and find out situation.

Re: Mistral Releases Deep Research, Voice, Projects in Le Chat

#70

Post by kakapo5672 »

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.

It's curious that China is carrying the open banner nowadays. Why is that?

One theory is that they believe the real endpoint value will be embodied AIs (i.e. robots), where they think they'll hold a long-term competitive advantage. The models themselves will become commoditized, under the pressure of the open-source models.

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