AItopia [EN] No.003 "Can an AI Beat T1? A Technical Deep Dive into Training, Latency, and Esports-Grade Inference" Time: Friday, December 5 · 9:00 PM (GMT+8) If an AI is ever going to challenge T1, it must overcome massive RL training demands, millisecond-level inference, GPU stability, and real-time system constraints. AItopia No.003 breaks down what it truly takes for AI to reach pro-level esports performance. Hosted by: Abhi @techie_pop — Head of Research, @hetu_protocol Confirmed Speakers: • Jay Hayter @Jay_Wordsmith — Content & Community Coordinator, @AethirCloud • Kate @ionetkate — Head of Partnerships, @ionet Tune in here: X Community: Telegram Group: AItopia will dive into: • The training scale & simulation throughput needed for esports-grade AI • Why achieving sub-50ms inference remains the toughest engineering barrier • Whether distributed GPU networks can meet competitive latency demands • What an end-to-end esports-ready AI architecture could look like