According to @gensynai, the Gensyn Testnet has reached 1,500,000 models trained as announced on Nov 30, 2025; source: @gensynai on X, Nov 30, 2025; link: dashboard.gensyn.ai. For trading relevance, the post provides the official dashboard to monitor this live usage metric, and it shares no additional details on throughput, launch timelines, or token information beyond the cumulative model count; source: @gensynai on X, Nov 30, 2025; link: dashboard.gensyn.ai.

According to @gensynai, the Gensyn testnet has reached 1,000,000 models trained, with thanks to node operators, experimenters, and builders; the announcement was posted on Nov 14, 2025. Source: https://twitter.com/gensynai/status/1989127044106735677 The update confirms the achievement pertains to the testnet and provides no details on mainnet timing, token incentives, throughput figures, or other economic metrics. Source: https://twitter.com/gensynai/status/1989127044106735677 For trading context, this is a concrete usage milestone for a decentralized AI compute network but includes no token or on-chain data for valuation or volume analysis. Source: https://twitter.com/gensynai/status/1989127044106735677

According to @gensynai, the Gensyn testnet has recorded 40,535,515 transactions, 128,293 users, a 21,000-node RL Swarm, and 27,835 models trained via BlockAssist; source: gensyn (@gensynai) on X, Aug 23, 2025. Based on these figures, average transactions per reported user are roughly 316 (40,535,515 divided by 128,293), a usage intensity that traders can track as an on-chain adoption proxy for decentralized AI compute; source: calculation using data from gensyn (@gensynai) on X, Aug 23, 2025. The scale of nodes and completed model trainings indicates available compute supply and workload throughput that can inform positioning across AI-DePIN narratives; source: data from gensyn (@gensynai) on X, Aug 23, 2025.