beernet

So essentielly comments from simonw? Sounds like what you describe

You are telling me quant funds prefer a heavy-weight and slow ANN to a fast, specialized model? Maybe in totally non-critical environments, otherwise it's simply too slow, regardless of performance.

Meh....time series data is fundamentally different from textual data. I see why a time series "foundation model" seems appealing, especially to the marketing folks at Mistral. Real-world usability is very limited, which is probably the reason why the blog post features an imaginary customer rather than an actual reference.

That's true. What's also true is that it cannot compete performance-wise.

Yes, a prime example of when the performance vs "bias" tradeoff is handled anti-business

> And of course not a word about the people in Russia killed by Ukranians (Kursk region and daily killings by drones, of civilians, which the west is "not aware of").

Russia could stop this invasion any time and not a single Russian would be hurt. Pure Kreml propaganda on HN, how sad.

The short answer is No.

There are "sovereign" clouds like StackIT, OVH, OTC or Scaleway. What they all have in common is that they are lightyears behind hyperscalers in terms of performance, reliability and security. Needless to say, these alternatives can only serve open-source models because they are not capable of training a SOTA equivalent by themselves. The cherry on top is that you have to pay a sovereignty premium for inferior performance.

If you wanted a Russian puppet in the oval office, it would do exactly what Epstein's BFF Donald is doing. There are zero reasons to support anything Putin is doing (read: daily war crimes), however, the destruction from within in the US and EU is executed amazingly well.

Why not just use Qdrant? They've been integrating TurboQuant for months, works well.

Agreed. Does the GTM team there really sit together like "oh yeah, that sounds reasonable" while being totally beyond typical market prices?

On the one-hand side, it's really impressive how LLMs drive mathematics forward, and this pace is only accelerating very quickly.

At the same time, most of the proofs I've looked at appear super messy and chaotic to me (while still being correct of course, so it doesn't matter). LLMs do not care about "elegance" the way human beings do, which is a big advantage. LLMs for mathematics is such a great fit on many levels. Can't wait for a significant breakthrough, prove P=NP and all hell breaks loose.

Just like the comment itself fwiw

Paying a premium for inferior service quality is not exactly freedom

To all mentions of IONOS / StackIT / OVH:

All of these are lightyears behind US/China LLM offerings. None of them offer any model close to open-source SOTA. Runtime and reliability is a disaster and sure enough you have to pay a "sovereignty" mark up.

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

> 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.