According to @AveryChing, sub-100ms block times were showcased via a post linking to media. Source: @AveryChing on X (Aug 22, 2025). The post does not specify the network, environment (mainnet or testnet), methodology, or rollout timeline. Source: @AveryChing on X (Aug 22, 2025). No throughput, finality, validator configuration, reliability, or reproducibility details were provided. Source: @AveryChing on X (Aug 22, 2025). With only a latency teaser and no deployment context, the immediate impact on live trading conditions cannot be determined from the post. Source: @AveryChing on X (Aug 22, 2025).

According to @LexSokolin, AI agents are already trading assets, managing infrastructure, optimizing systems, making micro-decisions, and executing workflows (source: @LexSokolin, Aug 13, 2025 tweet). He adds that these agents will soon run entire companies, manage supply chains, and control smart cities, signaling rapid automation that traders should factor into crypto market execution and risk processes for BTC and ETH (source: @LexSokolin, Aug 13, 2025 tweet). For trading, prioritize latency-aware execution, monitor order book depth and spreads on BTC and ETH pairs, and track on-chain gas costs and MEV exposure as agents execute workflows on EVM networks (source: @LexSokolin, Aug 13, 2025 tweet). Risk management should account for more frequent micro-orders and potential liquidity gaps as autonomy scales, making smart order routing and venue selection increasingly critical in crypto markets (source: @LexSokolin, Aug 13, 2025 tweet).