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.

According to The White House, Amazon is investing $10 billion in AI data centers in North Carolina, citing strong leadership from President Biden as a key factor (source: @WhiteHouse, June 4, 2025). This move signals accelerated AI infrastructure growth in the U.S., boosting demand for AI-related cryptocurrencies such as Render (RNDR), Fetch.ai (FET), and Akash Network (AKT). Traders should monitor these tokens for potential price momentum, as increased AI investment tends to drive capital flows into crypto projects supporting decentralized computing and data storage. The announcement enhances the U.S. position in global AI development, which could intensify competition among AI blockchain projects and increase transaction volumes on related networks.