程序员远没到“完了”的时候！Sam Altman：OpenAI不包办一切，模型只是底座，开发者仍是AI生态的主角

TL;DR - A Chinese-language write-up of Sam Altman's Invest Like The Best interview, in which he rejects the "software engineers are cooked" narrative and frames OpenAI as an infrastructure/platform provider ("like electricity") that deliberately leaves vertical applications to developers. It matters because it signals where OpenAI will and won't compete, and how engineering work is shifting up a layer rather than disappearing.

• Jobs move up a layer, not away: developers increasingly direct agents that read repos, propose plans, generate code and run tests; time shifts from implementation to task design, acceptance criteria, review and maintenance. Altman calls AI "jagged" — genius on some tasks, childlike errors on others — so humans still own validation, reproducibility, traceability and accountability.
• Platform boundary is explicit: OpenAI refocused on models, chips, data centers and platform after earlier consumer/media detours; on building every vertical app itself, Altman says "no interest in doing that." The gap left for developers: enterprise data/account integration, domain rules as callable tools, permissions/approval/audit for high-risk actions, and business-outcome-based evaluation.
• Next-gen personal AI: Altman describes agents that see everything on his screen (email, docs, meetings) and run overnight under a user-set token budget — raising concrete engineering problems around window/document permissions, access revocation, selective long-term memory with expiry, per-task cost caps, and logging of which inputs and tools drove each action.
• Two calibrations: the industry overestimated AI's short-term economic impact (2019-era OpenAI would have called today's models AGI); enterprise adoption moves in quarters/years while model releases move monthly. Altman also predicts robotics hits its "ChatGPT moment" in 2–3 years, importing observability, canary rollout and rollback practices into physical systems where failure costs are higher.