Yann LeCun at UN: Open-Source AI Is the Only Way Forward for Global Sovereignty

At the United Nations Open Source Week, Yann LeCun—one of the 'Godfathers of AI' and formerly Meta's chief AI scientist—made a clear case: proprietary AI is too expensive and too centralized for most of the world. His solution: collaborative, federated open-source AI platforms.

Key Arguments

• AI as infrastructure: LeCun says AI will soon mediate 'all of our interaction with the digital world.' If dominated by a few US and Chinese companies, it's 'very dangerous for cultural diversity, linguistic diversity, for democracy, for human rights.'
• Global South can't afford frontier models: Most countries lack resources to build their own LLMs, but can contribute via shared open platforms. National delegates from Morocco, Sierra Leone, and Jamaica agreed.
• Digital sovereignty: Alberto Gago, Director General of Spain's AI Agency (AESIA), called for 'co-designing a global ecosystem' where AI is transparent, equitable, and human—where sovereignty is held by societies, not 'a few techno bros.'

Project Tapestry: A Federated Open-Source Approach

LeCun's post-Meta work includes Project Tapestry, described as 'a confederation of partners that can contribute to training a global AI model while preserving sovereignty over data and only exchanging parameter vectors as open as possible.' The mechanics are intentionally bottom-up and open:

'The Tapestry project is very much bottom up. It's people with expertise in training LLMs and other AI models who decide to collaborate on the GitHub repository. You can just sign up, there's no authorizations to get.'

Nations digitize their own cultural material and contribute to training a global AI system without communicating raw data—only parameter vectors are exchanged. LeCun hopes for production by early 2027.

Historical Precedent

LeCun compared this to the late 1990s internet stack: proprietary hardware and OS from Sun, Dell, HP were 'completely wiped out in the early 2000s when people started using commodity hardware with an open-source software stack.' He expects the same for AI.

Current Participation

Early adopters include European countries, Switzerland, UK, UAE, India, Kazakhstan, Vietnam, Japan, Korea, plus industry players IBM, NVIDIA, AMD, and Intel.