French President Emmanuel Macron alongside NVIDIA CEO Jensen Huang and Mistral AI’s Arthur Mensch celebrated a landmark partnership at Vivatech 2025 last week aimed at propelling Europe to the forefront of the global AI race with a strategic move toward European technological sovereignty.
But what could truly support achieving this sovereignty? According to the panel titled “Shared Progress: How Can Open-Sourcing Speed the AI Race?”, the answer lies in Open Source AI. It’s not just about code and infrastructure, it’s about values, collaboration, and building technology that reflects cultural and democratic principles.
Here’s what we learned from that panel moderated by Niall Firth (Executive Director of MIT Technology Review), featuring Stefano Maffulli (Executive Director of the Open Source Initiative), Jean-Baptiste Kempf (CTO of Scaleway), and Laurent Solly (VP Europe at Meta).
The essence of Open Source AI
Maffulli began by anchoring Open Source in its core philosophy: unrestricted, permissionless innovation. For AI to be considered Open Source AI, it must offer access not only to the model weights and parameters, but also to the training code, and the data (unless it’s not possible). These elements together uphold the principles of transparency and user freedom that Maffulli warns are under threat by ambiguous licensing and regional restrictions masquerading as openness. He called out practices that label models as “open” while imposing usage restrictions, especially on Europeans.
Why Europe needs to embrace Open Source
Kempf delivered a sobering but optimistic message: Europe lacks the scale of compute and capital of U.S. or Chinese giants, but it has something even more powerful—a history of building commons. “The only way Europe will not be left behind is by using Open Source,” he said, “We know how to work together.” Kempf believes the Open Source AI wave is unstoppable, likening it to the evolution of software infrastructure itself. Linux and Python, for example, began as collaborative projects by European founders and went on to become global standards. AI, he argues, is simply the next chapter.
Meta’s Open Source play and its limits
Laurent Solly, representing Meta, emphasized their commitment to Open Source, from opening the FAIR (Fundamental AI Research) laboratory in Paris to championing tools like PyTorch and Llama. He acknowledged, however, that defining what counts as Open Source AI is a live debate, one Meta is engaged with.
Yet, Maffulli pointed out a critical flaw: Llama’s license excludes European users from using it freely, raising questions about how “open” it truly is. The debate highlights a deeper tension between Open Source as a marketing term and Open Source as a philosophy of freedom and innovation.
The road ahead
The panelists agreed that Open Source is not just an ideological stance; it’s an economic strategy. It allows startups, researchers, and even national governments to build powerful AI systems without relying on opaque, centralized platforms. As Maffulli warned, if Europe fails to embrace truly open practices, it risks ceding both control and innovation to firms outside of its borders .
Looking ahead, Kempf predicted a breakthrough in LLM architectures coming from the Open Source community within 18 months. He envisions a “Libre AI” era whereas models are not just open-weight, but fully transparent, reproducible, and collectively owned.
Maffulli emphasized that the biggest remaining challenge is around data provenance, data rights, and the ethical use of data. The unspoken social contract—where users give platforms their data in exchange for visibility or services—fell apart in the era of AI. Europe, with its strong regulatory frameworks and public infrastructure mindset, has a unique opportunity to lead in solving this.
EU staking its claim in AI leadership
The Vivatech panel made one thing clear: Open Source AI isn’t just a matter of sharing code—it’s about power, trust, and sovereignty. As France and Europe celebrate the Mistral-NVIDIA alliance and stake a claim for European leadership in AI, it must also double down on the principles that foster permissionless innovation and embrace European culture and values. Open Source isn’t just a way to catch up in the AI race. It’s how we redefine the rules of the game.
The video recording of the panel is available here:
Source: opensource.org