According to AI at Meta, the introduction of V-JEPA 2 sets a new benchmark in visual understanding and predictive modeling for robotics. V-JEPA 2 enables zero-shot planning, allowing robots to autonomously plan and execute tasks in environments they have never encountered before (source: @AIatMeta, June 11, 2025). This advancement in artificial intelligence could drive demand for AI-related tokens and projects in the cryptocurrency market, especially those focused on robotics, automation, and decentralized AI marketplaces, as investors seek exposure to next-generation AI solutions.

According to Fei-Fei Li (@drfeifei), the recent advancements in visual affordance learning in real-world environments for robotics present significant opportunities for AI integration in automation sectors. These breakthroughs, shared via her official Twitter account on May 19, 2025, have the potential to accelerate the adoption of AI-driven robotics in manufacturing and logistics. As AI technologies become more embedded in industrial processes, blockchain and crypto projects focusing on AI infrastructure, such as Fetch.ai and SingularityNET, may see increased trading activity and investment interest. This trend could influence the valuation and trading volumes of AI-focused crypto tokens as the demand for decentralized AI solutions grows (Source: @drfeifei on Twitter, May 19, 2025).