[{"type":"paragraph","children":[{"text":"When cloud giants control the lifeline (computing power) of AI training and charge high fees, Gensyn, led by a16z, is trying to open a gap with decentralized protocols. Its testnet data shows that this alternative solution has initially worked."}]},{"type":"paragraph","children":[{"text":"Current progress and data:","bold":true}]},{"type":"numbered-list","children":[{"type":"list-item","children":[{"text":"Cost advantage ","bold":true},{"text":": Claiming that the cost of computing power can be as low as 1/5 of the centralized Cloud as a Service, this will be the key to attracting small and medium developers and researchers."}]},{"type":"list-item","children":[{"text":"Technical verification: ","bold":true},{"text":"Its RL Swarm collaborative training framework connected more than 26,000 nodes in the test network and completed more than 120,000 training sessions, proving that distributed collaborative training is technically feasible."}]},{"type":"list-item","children":[{"text":"Trust mechanism: ","bold":true},{"text":"Through cryptographic proof and random sampling verification (Verde protocol) to ensure the reliability of computing strange nodes, which is the foundation of the entire business model."}]}]},{"type":"paragraph","children":[{"text":"Key question: ","bold":true},{"text":"The success of the testnet proves the potential of the technology, but whether it can truly form a stable and large-scale demand and supply at the commercial level after the mainnet goes online will be the touchstone of the next stage."}]},{"type":"paragraph","children":[{"text":"Project details and testnet data: ","bold":true},{"type":"link","url":"https://blog.ju.com/gensyn-ai-compute-network/","children":[{"text":"https://blog.ju.com/gensyn-ai-compute-network"}]},{"text":"\n"},{"type":"topic","character":"CloudServices","children":[{"text":""}]},{"text":" "},{"type":"topic","character":"Competition","children":[{"text":""}]},{"text":" "},{"type":"topic","character":"Infrastructure","children":[{"text":""}]},{"text":" "},{"type":"topic","character":"AIModel","children":[{"text":""}]},{"text":" "}]}]