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Comment by Raed667 | Hacker News Reader

can you elaborate what are their fundamental flaws that are not fixable by funds?

Chinese models are trained on dubiously collected model traces from Claude/OpenAI that are purchased from model routers. All the major Chinese models use this data. That's one reason they've been able to catch up with Anthropic/OpenAI so quickly, they have so much data.

Mistral can't train on that data, because this data would be illegal to purchase & train on in the EU.

It's dubiously collected data the whole way down. This is the AI industry.

They've never made a near-frontier model. Which is a valid criticism for a model training company

"Frontier" is a relative, ever-changing target.

It's not really: it means those out in front.

OpenAI, Anthropic, China

Those in front can and will change over time, and regions determine what is measured in the first place. So if they want, the EU can for example define "frontier" as "models made by a European nation that score highest on Math benchmarks".

They have done that in the past. I clearly remember the times when they dropped releases as a simple tweet and it made the front page of HN - just like the recent Chinese models releases.

> can you elaborate what are their fundamental flaws that are not fixable by funds?

Culture.

In terms of output, EU working culture is inferior to American/Chinese working culture.

Work life balance is irrelevant for frontier/sovereign AI.

Holy oversimplification. Do you get all your information from the internet?

There is logic to it. The ones who work 12h/day for 6d/week does more than the ones who work 8h/day for 5d/week does more than... It's simple scaling that pays off over time even if the general quality of work by the former isn't as high as that of the latter.

>inferior

Way to reduce a multi dimensional concept into a single scalar value. Care to explain what exactly make it inferior? Try using more than one word if you can.