According to @ylecun, he did not work on Llama; Llama 1 was built by a small FAIR-Paris team, while Llama 2–4 were produced by Meta’s GenAI product organization, and his contribution was pushing for Llama 2 to be open sourced, source: Yann LeCun on X https://twitter.com/ylecun/status/1993840625142436160. He added that he stopped leading FAIR in 2018 and has since focused on self-supervised learning for video, world models, and planning, and his post did not include any new product releases or licensing changes, source: Yann LeCun on X https://twitter.com/ylecun/status/1993840625142436160. For traders, this is an authorship and organizational clarification without new catalysts; Llama 2’s commercial-use license from Meta remains available and supports broad deployment, while decentralized GPU networks oriented to AI workloads—such as Akash Network’s marketplace—continue to provide infrastructure for running open-source models, sources: Meta AI Llama 2 announcement https://ai.meta.com/blog/llama-2/; Akash Network documentation https://docs.akash.network/; Yann LeCun on X https://twitter.com/ylecun/status/1993840625142436160.