Tenoke

If you can analyze it with AI it implies AI can understand it (as it can analyze it for itself as well) and thus can build on it.

Serious people haven't been very dimissive of Chinese models since at least DeepSeek-R1 in January 2025. Sadly, we in Europe are much behind.

Pleasant read, which feels as if it's from an outsider to the event. Alas, I just don't think there's that much to report.

It's possible to be a waste of European money that could be better used elsewhere, though. I think the same about LeCun's company sucking up the little funding here.

> Europe absolutely needs a home-grown AI lab, especially with Pax Americana looking increasingly shaky.

The only problem (at least in the LLM space) is that you can do more in Europe by just getting the best Chinese Open weights model (do a finetune if you really want) and do more for cheaper than using Mistral.

Yes, this is exactly what I expected (showing the anthropic principle in action), so I am disappointed they are not sampling correctly.

>there ought to be a tipping point beyond which local inference is good enough

There's no such ought really. Even at current levels you'd need like a 100x gain from here to approach current top proprietary models (probably a lot more for say Mythos or Mythos 2), and it's not like they are stoppng to improve. This is before we even account that you'd just be running 1 agent then, and not a swarm like you'd be able to in the cloud or that you can do only so much compression before you are losing out

There's been a ton of optimizations already, it hasn't remotely reduced demand even temporarily. More efficiency just makes the compute have even higher ROI per $ and watt spent.

Too base cynicism. I'd be willing to bet you my $200 to your $100 that doesn't happen.

That's a good formalization of it. I will think you are a bit of a fool if you dont use AI but you guarantee you'll be a fool if you only use AI with no value added by yourself.

Fable has more parameters. In practice it's not yet clear which one would be better for different usecases yet but they are more different than one being strictly better.

Mistral is much worse in its respective field than Flux in their own so I hope not.

Flux 2 Dev Klein has practically been the best you could use on most commercial hardware so I really hope Flux 3 has a comparable updated open-weights model to it. if not it'd be a great loss to most hobbyists.

Y Combinator the company doesnt particularly have to share the opinions of hackernews the public site.

Because sadly, as much as I wish it wasn't the case, offense is easier, more impactful than defense.