According to @deepseek_ai, DeepSeek-V3.1 introduces a hybrid inference design with Think and Non-Think modes in a single model aimed at agent workflows, as stated in the announcement; source: DeepSeek on X, Aug 21, 2025. According to @deepseek_ai, the DeepSeek-V3.1-Think variant reaches answers faster than DeepSeek-R1-0528, indicating reduced time-to-answer for complex reasoning tasks; source: DeepSeek on X, Aug 21, 2025. According to @deepseek_ai, post-training has strengthened agent skills and tool use, signaling improved function-calling and tool integration capabilities; source: DeepSeek on X, Aug 21, 2025. According to @deepseek_ai, the post does not disclose any token, blockchain integrations, partnerships, or on-chain features, providing no direct crypto-market catalyst from the release; source: DeepSeek on X, Aug 21, 2025.

According to Andrew Ng, a new short course titled 'Event-Driven Agentic Document Workflows' has been launched. This course focuses on event-driven workflows, a design pattern that allows for asynchronous and parallel execution of tasks, including LLM calls and tool use, where the completion of specific steps triggers subsequent events. This could be particularly relevant for traders looking to automate and optimize their trading strategies using advanced AI techniques.