Being European, I love the idea of European AI labs. But I wish there was more competition.
That being said, as a German for example, I can't think of an AI company successfully training a competitive foundation model here. The copyright mafia would take your investor's money before you could even finish the first training run (hyperbole.)
I did not spend 10 years writing (A)GPL code for all of it to be stripped of its license, remixed and sold for profit.
Of course in a truly just world, the LLM companies who took my code without permission would beg with offers of owning a share of them because if I didn't consent their models would have to be destroyed.
Since my work is apparently so valuable that they just have to have it, it should count towards my retirement age too.
On the bright side: people seem to be moving away from such nationalistic ideas. Here's to Orban being the first of many defeats for them in the near future.
A couple of weeks ago they were calling for a European AI tax to pay creatives.
I'm also using Voxtral TTS to try to replace OpenAI. It "works", but I've had problems with volume levels being radically different between different audio chunks. It doesn't seem to "understand the full text" the way OpenAI's voice models do, which can be more expressive. Voxtral sometimes sounds robotic in the reading. And some Voxtral TTS output contains music in the background occasionally, which suggests their training corpus isn't that clean. Try generating a personalized news podcast, and the intro may occasionally sound like the music for BBC News underneath....
As for not focusing on AI, there's this interview in the Big Technology Podcast 2 months ago, where the Mistral CEO says their main focus is on helping companies fine-train models for internal use, over being a general model builder.
Love that idea.
> This playbook provides a clear, actionable framework to position Europe as that powerhouse, accelerating AI development and adoption, attracting and retaining top talent, simplifying regulation without sacrificing values, and mobilizing public and private investment to build homegrown AI infrastructure. Only with it, Europe can ensure AI is not only developed in Europe, but for Europe and on Europe’s terms.
playbook for what?
> This document is not a theoretical exercise. It is a practical playbook
Seems quite theoretical? A lot of random statistics, and all the sections start with abstract empty claims in 'not x, y' slop format "Artificial intelligence is not an abstract promise. It is a tool that fulfills its potential when embedded in the real economy."
I'd love an executive summary of this for anyone who has AI tokens to spend (I've got some other stuff to get done with what remains of my quota this week). I'm not saying this report is bad, I'm just saying it didn't do enough to convince me to read it, and it has some patterns that would make me guess it's bad.
Multiple sections have expandable subsections for more details on proposals.
> The question is no longer whether Europe can compete, ...
But it, too, do not ask myself this question any more. Since EU seems to have already lost completely.
Even Proton's new local AI service uses Ollama, which was developed in USA and is pretty outclassed. Does HN say europe can do more than hope to catch up in five to ten years, if the race is still on then?
Given how un-startup-driven adoption of new technologies usually happens in Europe, I don't see this playbook becoming a cornerstone of how AI adoption will pan out in Europe.
Nobody acts like you need to invent steel to have a steel mill.