According to DeepLearning.AI, Anthropic’s new flagship Claude Opus 4.5 improves coding, tool use, and long-context reasoning while costing about one-third per token versus its predecessor, directly lowering unit inference costs relative to earlier Claude models (source: DeepLearning.AI on X, Dec 16, 2025; more details: hubs.la/Q03Yf3f60). It adds adjustable effort and extended thinking plus automatic long-chat summarization, features designed to manage reasoning depth and summarize lengthy interactions at lower token consumption than before (source: DeepLearning.AI on X, Dec 16, 2025). Independent benchmarks cited by DeepLearning.AI place Opus 4.5 near the top, and it often achieves comparable results with far fewer tokens, improving cost efficiency for long-context tasks compared with its predecessor (source: DeepLearning.AI on X, Dec 16, 2025).

According to @AndrewYNg, the open-source aisuite package provides a recipe to build a highly autonomous, moderately capable, and very unreliable AI agent, enabling a frontier LLM to use tools such as disk access and web search with just a few lines of code; source: @AndrewYNg on X, Dec 11, 2025. For crypto market participants and quant developers, this signals experimental-stage agent tooling rather than production-grade automation, warranting caution in any live trading or custody context; source: @AndrewYNg on X, Dec 11, 2025. Ng also states he is collaborating with Rohit Prasad on aisuite, indicating active open-source development of agent tooling; source: @AndrewYNg on X, Dec 11, 2025.

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.