According to @DeepLearningAI, its year-end The Batch edition frames 2025 as the year reasoning models changed everything and explores how AI learned to think before it speaks (source: DeepLearning.AI). The edition highlights three themes: China turning chip restrictions into innovation fuel, coding agents becoming true development partners, and U.S. economic growth driven by infrastructure spending (source: DeepLearning.AI). It also features a holiday message from Andrew Ng to the AI community (source: DeepLearning.AI). For traders, these covered themes map directly to compute supply chains, software automation, and capex cycles that shape positioning in AI equities and AI-linked crypto narratives (source: DeepLearning.AI).

According to @OpenAI, Episode 6 of the OpenAI Podcast features @gdb, Codex lead Thibault Sottiaux, and host @andrewmayne discussing a shift from code suggestions to coding agents (source: OpenAI on X, Sep 15, 2025). The post explicitly references the launch of GPT-5-Codex and the theme "Forget autocomplete — this is agent-complete" (source: OpenAI on X, Sep 15, 2025). No pricing, release date, API access details, benchmarks, or technical specifications are provided in the post (source: OpenAI on X, Sep 15, 2025). The post also mentions exploring where software development could be by 2030, indicating a long-term discussion topic rather than immediate product documentation (source: OpenAI on X, Sep 15, 2025). The post contains no mention of cryptocurrencies, tokens, blockchains, or on-chain integrations, and it does not state any market impact (source: OpenAI on X, Sep 15, 2025). For traders, the only verifiable takeaway is the official acknowledgment of GPT-5-Codex and an agent-focused direction; the source provides no tradable metrics or guidance (source: OpenAI on X, Sep 15, 2025).