According to @iamDCinvestor, the recent launch of Edge's Robotics OS significantly advances decentralized robotics by addressing scalability through local compute, blockchain-based training, and incentivization models (source: @iamDCinvestor on Twitter). Edge, a sector leader since 2013, leverages decentralized rails to enable real-time inference and secure, distributed robotic networks. This development is expected to drive new trading narratives in AI and crypto markets, as decentralized infrastructure becomes essential for next-generation robotics, potentially increasing demand for related crypto tokens and blockchain solutions (source: @iamDCinvestor).

According to Lex Sokolin (@LexSokolin), the current AI landscape is seeing a major shift as individuals can now combine computational resources to create large-scale models independently, without dependence on providers like Deepseek or Meta. This development enables genuine community-driven innovation, which is unprecedented and poses significant implications for the cryptocurrency market. Decentralized AI model creation could accelerate the adoption of blockchain-based compute protocols, potentially driving demand for tokens such as Render (RNDR) and Bittensor (TAO), which facilitate decentralized AI infrastructure (source: Lex Sokolin via Twitter, May 6, 2025).