According to @alice_und_bob, a Dec 2, 2025 Twitter post questioned whether a Polkadot core developer just submitted code enabling 500ms block times, noting no commit or PR link in the post. source: @alice_und_bob on Twitter Shorter block intervals are known to reduce inclusion and confirmation latency and can increase effective throughput on proof-of-stake architectures, which is relevant to DEX execution quality and network responsiveness. source: Polkadot Wiki (block production and finality) For trading, monitor the Polkadot SDK/Substrate repositories and official release notes for a merged PR explicitly specifying a 500ms block interval before positioning on this headline. source: Polkadot official GitHub

According to the source, we can only produce a trading-oriented summary once we verify the announcement from an official OpenAI source. Please share the OpenAI blog post, press release, or developer docs with details on GPT-5.1 (e.g., model names, API availability, pricing, latency, token limits, and rollout dates) so we can provide accurate, fully cited analysis focused on crypto market impact.

According to @business, high-frequency trading in London is set to get faster after a little-known technology firm took on London Stock Exchange Group to gain access to its Docklands rooftop for radio devices, enabling quicker connectivity for latency-sensitive strategies, source: Bloomberg @business. @business reports the dispute centers on installing radio equipment on LSEG’s rooftop to accelerate market speeds for HFT participants in London, source: Bloomberg @business. The source did not cite any direct impact on cryptocurrency markets or crypto-linked instruments, source: Bloomberg @business.

According to DeepSeek, the DeepSeek-V3/R1 Inference System has been optimized for improved throughput and latency, which could significantly impact trading algorithms relying on quick data processing. The system utilizes cross-node EP-powered batch scaling, computation-communication overlap, and load balancing techniques. This optimization is crucial for traders who depend on high-frequency trading algorithms that require rapid data processing and decision-making capabilities.