I only started playing less than a year ago. I paid for one year because of game review to improve my game. Didn't know lichess exist, but I'm not paying for a second year for sure
If you watched the keynote they added transparency controls, adjusted the refraction, removed the different window corner radii into one, and cleaned up sidebars and toolbars. They also updated icons to have more depth to them so you get a harder border on key elements.
I still look at older MacOS screenshots and think a lot of it looks better, but directionally they are improving Liquid Glass.
Big tech has remote offices in every major European economy, and they pay well above top 90th percentile of market rate. It basically has a talent sucking effect on the entire economy.
I think that while y'all were appreciated members and definitely had a lot to offer, you also had a lot of annoying carve-outs and kept stalling needed measures to federalize and strengthen the EU more so we can be a proper superpower in our own right.
Maybe it's good you left for now, maybe we can finally get these things done. And once that's accomplished and enough of the gammon has died off, you can always rejoin :-)
Jumping in and most people in Germany wouldnt see UK as an American trojan hourse. I dont think anti American countries like France and Danemark have a problem with UK being in the EU per se.
I can see most people want that UK wouldnt just get special treatment any more.
EU big nations getting marginalized: haha. The only reason there’s no US-like tariff on Chinese cars is because Germany was too scared it would lose its access to Chinese market.
I feel like there's an implication here that distillation is a problem but I don't understand what you mean. I thought distillation was generating text from a model and then training another model on it. Is the something unethical in that? You're paying the API costs to generate the tokens, right?
Or I guess more to the point: is this something frontier labs have said is (or tried to paint at any rate) problematic? This feels like an "out of the loop" situation because I've only ever heard "distillation" with a positive connotation before.
That OpenAI was in the wrong when they ignored everyone copyright, does not make it right to ignore their ToU. If a one wants IP and rule of law (incl contracts) to be respected, one should not violate others rights when it is convenient.
On a more risk-strategy level there is the size of their legal team, general endowment, and supplier and political connections to consider.
Everyone is free to ignore their ToU, but I can understand why a company would avoid it...
it doesn't matter the reason. This is a race and nobody will care or remember how the winners got there.
Mistral looks like it's fading away to irrelevance unless they can play alongside the similar sized models, or have some unique advantage other than being in Europe, for Europe. I was really excited for them back when they were startup that had the biggest European venture round ever. This space will have a few winners, and many losers. Google, plus either Anthropic or OpenAI most likely. Big models will see breakthroughs in inference performance/cost fall precipitously and small models will only exist on devices (Pixels and iPhones, cars, watches, bluetooth speakers, etc)
It’s not that I don’t agree with you, I am just pointing out why it’s hard to catch up to scaling laws given the European economic (capital) and political (US would be upset if they found out Europeans distill) constraints. China is only bound by economic constraints.
> This is a race and nobody will care or remember how the winners got there.
For consumer AI, yes. For coding assistants, probably.
For specific application "business" AI like the things Airbus announced the other day? Not at all. What matters for an Airbus using Mistral to build compliance documentation based on AI generated physics simulations is the enterprise relationship, reliability, compliance, forward deployed engineers helping with the fine tuning, quality, predictability, support. A Chinese lab having a better at benchmarks model that is cheaper is just irrelevant for that.
And IMO, the real money in AI is this type of "business AI" deployment. Developer tooling tends to converge on becoming commoditised. Once you're a core supplier for a big bank and embedded in their processes, you're there untill you screw up with the pricing (like Broadcom), and even then.
So then the European ones should join with European copyright holders to sue OpenAI/Anthropic and watch them trying to BS their way around what they train on.
Training a model on copyrighted material is fair use and copyright holders already operate a mafia-style extortion ring in Europe, so I don't think that's a good idea.
It’s really a pity, why can’t they feel superior while breaking ToS and copyrights just like Americans can feel superior over Deepseek while breaking ToS and copyrights?
reply