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The current (2026) revolution of AI is concerned with agentic AI, which decuplates the performances of LLMs to solve complex grounded tasks (in maths, software engineering, computer use, involving APIs…) thanks to the combination of an agentic loop, where the LLM is trained to reason, test some hypothesis, analyze the results, fix the errors and iterate, and of tools usage, where the LLM is trained to call external tools (browser, linux commands, python execution environment, database calls, web APIs…).
Dismissing agentic AI as “just adding tools to LLMs” is missing the point, as agentic capabilities greatly improve both the performance and variety of tasks feasible by LLMs, in a similar way as the discovery of transformers, then scaling laws and then test-time compute have successively disrupted the AI landscape. Furthermore, by leveraging smaller sub-agents specialized in each type of tool, or in planning or reasoning, agentic AI opens the way to succesfully exploit smaller LLMs that can be manage locally.
This is important as sovereign European AI will neither occur through writing more rules and regulation (except if Europe strictly forbids any non-European cloud AI APIs), nor by building European software stacks on top of non-EU cloud APIs, but by investing in local-first AI solutions. Training EU LLMs from scratch is impossible within the current copyright EU regulations, and it is likely too late to catch-up with the World-wide competition. The most reasonable remaining opportunity that is still open for EU as of mid-2026, is to leverage Chinese pretrained LLMs while they are still open-source and learn to adapt them to EU values and improve them with new knowledge and novel capabilities. But there is urgency, as this option may not be available for long.
Year 2025 is finished, and I think it’s a good time to wrap-up together on a single web page the main LLMs we have contributed to in 2025. You can find the list on my web page.
En comparaison avec le coût carbone des voitures individuelles:

Estimation of carbon costs
| Carbon cost (T.CO2) | |
|---|---|
| 560 persons virtual conf | 10 |
| 560 persons F2F conf | 274 |
| 18000 persons virtual conf | 176 |
| 18000 persons F2F conf | 10348 |
| emissions 1 car/year source | 2.2 |
| emissions cars in France/year | 65M |
| training Bloom | 25 |
Sources: UE, 6connex, statista

63% des insectes volants ont disparu en 3 ans en Grande Bretagne