In a race like this the first mover advantage is very large, and highly driven by available funding, not by the availability of founders (of which Europe has plenty).
... Except for VC funding from non risk averse investors.
You are not going to build an EU openAI on Horizon2020 grants. Also EU investors are closer to business angels when you compare with the VC funding scene in the US.
So, clearly there is some way of competing with any "currently established" location. :)
Seems to me we’re mostly busy doing what ChatGPT can now do automatically: building mediocre SaaS apps.
The latter requires massive upfront non-retrievable investment.
My grandmother had a nice proverb that roughly translates to 'the devil shits on the larger heap'. It is meant to convey the picture that once there is a large pile of money somewhere that that pile will grow faster than a smaller pile of money simply because having access to large amounts of capital means you can place larger bets and absorb more blows. The EU capital climate is comparatively risk averse simply because there is less money to go around.
Even so, I'm realistic enough to know that there is no way the EU VC scene could compete with Sandhill Road when it comes to valuations and that's why any significant success created in Europe will sooner or later be US based. Examples aplenty.
Ilya Sutskever - born in Russia
Wojciech Zaremba - born in Poland
Andrej Karpathy - born in Slovakia
[1] according to wikipediaEdit: the only supercomputer industry in Europe was developed by France's first* president Charles De Gaulle (plan Calcul) for their country military or civil nuclear strategy which the US deep state did not like very much. A French president unilaterally killed this plan Calcul under US advice and sold Bull to American company (Honeywell) despite the opportunity to merge Bull with a few European computer giants.
Last I checked MidJourney is valued at $1 billion and Stability.AI is struggling to survive.
Let's not forget that DeepMind is of EU origin, and they were one of the forces that kick started this whole AI renaissance.
- Stable Diffusion was developed in Germany.
ChatGPT is not research. If you want real research: https://ai.facebook.com/blog/large-language-model-llama-meta...
Edit: end paper is https://arxiv.org/abs/2302.13971
> Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample
> We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla-70B and PaLM-540B. We release all our models to the research community.