Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Mistral Large

mistral.ai

Post reply on HN
Print view View original

231–240 of 282 posts

Re: Mistral Large

#231

Post by jakeinspace »

dadoum wrote: post #193
jakeinspace wrote: post #91

Earlier quoted context omitted.

Plateforme (plate-forme) is semi-accepted French, it’s an anglicisme.

is it? I always thought that it was just the corrected spelling (a lot of composite words have been merged together in a spelling reform in 1990), and that the English word was actually borrowed from French.

Ha, apparently I’m the uneducated one. I’d assumed it was an anglicisme that happened to work nicely, but it came to English from Middle French. However, the modern tech-related usage certainly first showed up in English, and then was upstreamed to French I assume? That’s kind of amusing… I’ll leave this as a testament to my hubris as a non-native French speaker.

Re: Mistral Large

#232

Post by lox »

onlyrealcuzzo wrote: post #119
speedgoose wrote: post #58

I appreciate the honesty in the marketing materials. Showing the product scoring below the market leader in a big benchmark is better than the Google way of cherry picking benchmarks.

They compare to Gemini Pro 1.0... Seems intentionally misleading.

From the article:

> generally available through an API (next to GPT-4)

Re: Mistral Large

#233

Post by YetAnotherNick »

Havoc wrote: post #135
YetAnotherNick wrote: post #94

It's a really tough sell. They are charging 80% of GPT 4, and are below in the benchmark. I will only use overall best model or the best open weights model or the cheapest which could do the task. And it's none of the three in almost any scenario.

That’s a sure way to end up with a global monopoly and no competitive open models. Things like mixtral on open side rely on companies like mistral existing.

Yes, but no one is going to pay for closed model if it is inferior just because they want another open weights model from the same company. Most companies don't work like that.

Re: Mistral Large

#235

Post by dontupvoteme »

autokad wrote: post #165
RohMin wrote: post #160

I haven't been able to get a great answer regarding why OpenAI is consistently leading the pack. What could they possibly be doing different? I can't imagine they've invented a technique that nobody else can reach at this point

my guess is openai spent the most human hours fine tuning the model, and other companies are running into problems and trying to deal with them whereas openai already learned those lessons a long time ago

Human hours, aka poorly paid contract workers in Africa.

Re: Mistral Large

#237

Post by lolpanda »

dontupvoteme wrote: post #235
autokad wrote: post #165

Earlier quoted context omitted.

my guess is openai spent the most human hours fine tuning the model, and other companies are running into problems and trying to deal with them whereas openai already learned those lessons a long time ago

Human hours, aka poorly paid contract workers in Africa.

This is not true. For LLM data labeling, the knowledge workers are very well paid. The hourly rate is way above minimum wage. The questions oftentimes require domain knowledge. They are complex enough and cannot be answered by random person on the internet. AFAIK most of them are located in US.

Re: Mistral Large

#238

Post by yjftsjthsd-h »

fragmede wrote: post #225
yjftsjthsd-h wrote: post #222

Earlier quoted context omitted.

> The original chef probably shouldn't have told everyone their recipes were always gonna be available to the world for free in the first place, but we were all young and dumb and idealistic and didn't think things through at some point in our lives. And if a person had a bunch of money/funding in their youth and made extravagant promises that they later reneged on because "oopsie actually I can't afford to do what I…

What do we think of the "friends" that hang around during the good times, and then abandon you when you're down? But like you pointed out, it's a corporation and it's just business. If their next model is better but isn't made available, companies will still build an AI product on top of their model and give them money for a license or API access.

> What do we think of the "friends" that hang around during the good times, and then abandon you when you're down?

I deliberately didn't use the word "friends"; I'm well aware that neither the users nor the corporation really care about each other in this situation. That doesn't mean that you can go back on your entire claim to fame without consequence. And it's not that the company is "down" in some "did nothing wrong but suffered problems" sense; this situation is entirely of their own making.

> But like you pointed out, it's a corporation and it's just business. If their next model is better but isn't made available, companies will still build an AI product on top of their model and give them money for a license or API access.

Well... on the one hand, yes; just business. On the other, a sensible company wouldn't build it per-se on their API (especially now that they've shown how happy they are to change little things like "core values" and "entire business model"), they would build on a standardized API (probably OpenAI; that seems to be where the ecosystem is right now) and then... well, if this company happens to be competitive then good for them. But when they aren't, as you say, it's just business.

Re: Mistral Large

#239

Post by shuckles »

newswasboring wrote: post #204
shuckles wrote: post #182

Earlier quoted context omitted.

If "enshittification" includes "companies improving products but not making improvements available for free use by others", then it's a meaningless term.

Enshittification means companies breaking the social contract they started with, and in some cases like openAI completely reverse it. You can't have "Open Weights models" as your tag line and just proceed to become exactly not that. That is enshittification by any standards.

No, enshittification as proposed as a term for marketplace operators or platform providers who slowly degrade the experience for dependent users in order to capture more of the value created. Mistral is not a platform; it's a technology vendor. You can apply words however arbitrarily you want, but it just makes them meaningless.
Post reply on HN