This went to market horribly (if you can even call it that), just look at the comments. Mistral played themselves big time over the past ~18 months. Non-competitive products and models combined with bad marketing and GTM...Oh Europe
HN user
beernet
they have shit developer relations
Not true
model that's mostly worse while being more expensive
Not true
they can ride a wave of misinformation.
Not true
Claude Code is still a meme
Claude Code generates more revenue than OpenAI...It appears to be a nice meme.
Anthropic's run on the model and product side of things is highly impressive. They got Sam A. punching the air consistently, which is well-deserved and self-inflicted above all.
In this case, bad execution above all
If I was an investor I'd be very worried, to say the least. These guys had all the chances to be established across the relevant LLM players and are blowing it at this very moment....remarkable. With all the attention on and hunger for "sovereignty" one would think they would be the ones capitalizing the most....nope, not at all
Exactly. Even the German "Urheberrecht" has a deadline (70 years afaik, outdated and too long obviously).
What does it say about progress that the same laws that protect human rights also stifle innovation?
Claiming that GDPR and the EU AI Act "protect human rights" is very, very far-fetched. How does the training of, say, Claude or GPT-X models, hurt human rights?
So what exactly are you telling us here? If you believe the "bloatification" has started only after the IPO, you are very late to the party
Absolutely not, even if Europe was given all of the compute in the world. The issues are much much worse. Starting at "data privacy", continuing with the "EU AI Act" and just an overall mindset of regulation and German angst. Many structures in the EU actively prevent and fight against innovation. Oftentimes more subtle but the consequences stay the same. If you ever had to use one of the "sovereign" AI provides such as StackIT, OVH and the-like, I feel with you. It is just so bad in terms of product and performance, there is no comparison at all with Hyperscalers, and it shows. Eventually, it's a cultural and structural problem along the way and the future here looks horrible.
Have you been reminded yet? +40% looks pretty nice on my SpaceX position right now, taking profit.
This is the most influential information theory work of all time and always a beautiful read.
Yes, I mean exactly these guys, who did effectively nothing since these "glory" days (which are not really so glory if you Look at the entire story).
This insitution could not exist a minute without tax payer money and provides very, very little in return. Mediocre (at best) employees with the work ethic of public officials, and we know what this means when talking Germany...
While we recognize that thoughtful use of AI can result in productivity gains in research, the use of AI to write papers creates an acute risk for the peer review system.
Saving an outdated system above accepting progress. Old white men at work again.
They didn't even bother removing the typical AI slop from the text, lol
Like that, a few companies are specialized in sucking public funds and delivering nothing. Or just the minimum to say that they did something.
Agreed. Fraunhofer institute in Germany is a prime example.
No pelican? I don't believe it.
More seriously, LLM eval is totally broken judging by the related articles on HN.
This is total nonsense and you sound like a bot. A bad one at that. This is pathetic.
Fear is not equivalent to zionism. In addition to that, Russia has many more nuclear weapons and is getting destroyed at this very moment.
albeit without the drug addiction or prison.
No disrespect, but this is not at all comparable to the situation described in the article. A few nights sleeping on the streets is much (!) easier when not addicted to substances.
while on the other hand, they are duct-taping in deterministic plugins for specific prompt types they find it better to offload
So, in essence, just like human beings?
Four years later and I am still irritated by the "phenomenon" of hallucinations.
Each LLM completion is a "hallucination" per design, some just happen to align with our world view and happen to be "factually correct". For the same completion, this may be different in other parts of the world.
These posts are a nothing burger
Some people here truly need a bunch of lessons in economics and capital markets. This is not about making a profit at this point in time. Each of these companies could turn profitable im a heartbeat if they wanted to. Which would be exactly the moment in which they lost the race and become irrelevant.
Bots in full effect now?
This guy literally helped killing thousands of Israel's "enemies", out of which a majority are innocent civilians. Above everything, you are showing your true color.
Basically everyone in the US is a zionist.
What? What kind of world view is that? Surely not a factual one.
I have no view here other than what I hear from people and news. What stokes me is that people like you are really shocked and surprised when confronted with the truth.
This comparison is nuts and invalid. Each of Anthropic/OpenAI/SpaceX has more revenue than the mentioned companies combined at IPO time.
Doomers gonna doom
Companies are innovating things that significantly enhance human capabilities and people will still find a reason to drag them down. I am not a fan of either these companies. At the same time, I strongly disagree with these doomer scenarios as they are dangerous for progress of humanity.
And once more, AI doomers must be punching the air. How long can you punch?
AI doomers really are punching the air these days.
They will be right eventually and inevitably. Until then, it's funny watching them build a personal "brand" just to say "I told you so" when the market drops in X years.
Ultimately I think the only way you can trust benchmarks is if you build them yourself and keep them secret from the AI labs.
I agree.
At the same time, one of the first things we see in the HN comments when a new model is released are pelicans on a bike. Makes you wonder where the priorities of the AI "community" lie when karma farming is the main motivation for model "evaluation".
I guess tech has been good enough to provide some kind of economic cushion that you can retain a reasonable life style as home depot as your only source of income.
This is a nice understatement. What we see here is privilege at work and phrasing it in a likable manner. "Tech" folks appear to be particularly vulnerable to this type of framing.