URnetwork’s First Apex Round Cuts p95 Request Time 63% in Testing
The winning code becomes the next round’s baseline after outperforming the network’s latency target.
The winning code becomes the next round’s baseline after outperforming the network’s latency target.
Developers will compete for SN1 alpha by improving code used in UR’s live network, with approved winners setting the next performance baseline.
Apex (Bittensor subnet 1) shared an update on its IOTA Simulator competition, reporting 22,967 submissions and roughly 29% faster epoch completion times on Bittensor.
Apex launched RL Tron, a new reinforcement learning competition on Bittensor where AI agents compete in recurring head-to-head Tron tournaments using decentralized bracket-based evaluations.