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