Stay out of the race sounds insane when AI is, and will be, a common commodity. China is getting great bang for their buck on AI training, why not the same for Europe?
The vast majority of people simply don't need SOTA models. I run most of my programming on a single 7900 XTX with Qwen 3.8 27b. I'm more interested in scaling out to run more instances of the model in parallel, than I am in scaling up to better models.
I don't know.
The moat doesn't seem to exist. Probably safer to stay out of the race for now.
Stay out of the race sounds insane when AI is, and will be, a common commodity. China is getting great bang for their buck on AI training, why not the same for Europe?
I’m still looking for no-moatists to logically explain why there is no moat in SOTA LLMS.
That paper released by a lone Google employee 3 years ago still misguiding people it seems.
The vast majority of people simply don't need SOTA models. I run most of my programming on a single 7900 XTX with Qwen 3.8 27b. I'm more interested in scaling out to run more instances of the model in parallel, than I am in scaling up to better models.
My reasoning is that we have seen multiple small labs come out of nowhere and create impressive models.
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"Probably safer to stay out of the race for now."
What kind of attitude is that?
On the contrary, Europe needs a wider AI ecosystem and not rely on just one company