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Mistral Releases Deep Research, Voice, Projects in Le Chat

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101–110 of 156 posts

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

#101

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.

It is completely unreasonable to buy the hardware to run a local model and only use it 1% of the time. It will be unreasonable in 2026 and probably very long after that. Maybe s.th. like a collective that buys the gpu's together and then uses them without leaking data can work.

over time you would assume the models will get more efficient and the hardware will get better to the point that buying a massive new gpu with boatloads of vram is just not necessary

maybe 128gb of vram becomes the new mid tier model and most llms can fit into this nicely and do everything one wants in an llm

given how fast llms are progressing it wouldn’t surprise me if we reach this point by 2030

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

#102
post #79
post #20

Earlier quoted context omitted.

They are not the same service. There is A LOT of difference between offerings if you actually use the models for daily tasks like coding.

It really depends on what you're working on and what was included in the training data of the model you used. From a model architecture point of view, they're basically all the same, the main difference lies in the training data.

Also not true. Even the API surface differs

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

#103

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 is HN, we are not all wage workers here For wage workers, not learning the latest productivity tools will result in job loss. By the time it is expected of your role, if you have not learned already, you won't be given the leniency to catch up on company time. There is no impactful resistance to this through individual protest, only by organizing your peers in industry

What does wage versus salary have to do with anything?

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

#104
post #95

Earlier quoted context omitted.

This is gonna kill Craigslist :-). You see these pictures of a really nice car and get there and find it has a crushed left fender, rust holes in the hood and a broken headlight. We had a realtor list a property in our area and they had used generative AI to "re-imagine" the property because the original owner who had bought it in 1950 and died in it in 2023 had done zero maintenance and upgrades. People who showed u…

Would lying really lead to more used car sales and thus cause pressure for other to attempt this kind of fraud? And wouldn't people get in trouble for fraud (or at least false advertising?) When I last bought a used car I found it in a classified newspaper ad: there was no picture. I looked at every car I considered in-person. When I found one I liked I paid for an independent pre-purchase inspection, discovered a cr…

People use transformative filters on their faces on dating apps all the time. If you show up and find someone with a completely different face, is there any chance of romance? I have no idea... the best I can guess is

- No, but people do it anyway due to anxiety

- People can be pressured, the trick is to meet them the first time

- People say they care about faces, but don't actually care about faces

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

#105
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…

Can anyone point to a good explanation of how these multi-modal text and image models are set up architecturally.. is there like a shared embedding space? or is it lots of integrations..

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

#106
post #79

Earlier quoted context omitted.

It really depends on what you're working on and what was included in the training data of the model you used. From a model architecture point of view, they're basically all the same, the main difference lies in the training data.

Also not true. Even the API surface differs

API is irrelevant. It's like saying that talking to John via Telegram or WhatsApp is like talking to a different person.

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

#107
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…

This is gonna kill Craigslist :-). You see these pictures of a really nice car and get there and find it has a crushed left fender, rust holes in the hood and a broken headlight. We had a realtor list a property in our area and they had used generative AI to "re-imagine" the property because the original owner who had bought it in 1950 and died in it in 2023 had done zero maintenance and upgrades. People who showed u…

TBF, "reimagining" has been done by real estate agents and sellers before LLMs, it just required more skills.

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

#108
post #81

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…

I just can’t find dictation apps for Mac using those models except for open whisper. IBM’s granite models seems multilingual and well ranked, but can’t find any app using it. Anybody aware of a dictation app using one of those "better" models?

Have you tried https://spokenly.app/ ?

They do support Voxtral, among others.

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

#109

Earlier quoted context omitted.

This is HN, we are not all wage workers here For wage workers, not learning the latest productivity tools will result in job loss. By the time it is expected of your role, if you have not learned already, you won't be given the leniency to catch up on company time. There is no impactful resistance to this through individual protest, only by organizing your peers in industry

What does wage versus salary have to do with anything?

Salary is a specific type of wage

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

#110

Earlier quoted context omitted.

This is gonna kill Craigslist :-). You see these pictures of a really nice car and get there and find it has a crushed left fender, rust holes in the hood and a broken headlight. We had a realtor list a property in our area and they had used generative AI to "re-imagine" the property because the original owner who had bought it in 1950 and died in it in 2023 had done zero maintenance and upgrades. People who showed u…

TBF, "reimagining" has been done by real estate agents and sellers before LLMs, it just required more skills.

As an additional photo it's a valid usecase, not as the only one.
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