Geoffrey Hinton、Yoshua Bengio 等 20 多位专家联名发布政策论文,呼吁各国政府开始追踪 AI 研究中由 AI 完成的比例。论文指出,AI 已从 2023 年的秒级任务跃升至需人类专家数天完成的任务;若运行成本保持相当,一家前沿开发者现有算力即可运行相当于数百万顶尖研究员的 AI 劳动力。仅 OpenAI 一家的推理算力每天就能生成约 10^13 个 token。
A policy paper, written by more than 20 experts including Geoffrey Hinton and Yoshua Bengio, that asks governments to start tracking how much of AI research is already being done by AI.
AI has jumped from seconds-long tasks in 2023 to tasks that take human experts days.
If runtime costs stayed comparable, the compute 1 frontier developer has today could run an AI workforce equal to millions of top researchers.
OpenAI alone has enough inference compute (i.e., runtime compute) to generate on the order of 10^13 tokens per day.
If AI reached expert level and runtime costs stayed comparable, the compute 1 frontier developer has today (2026) could run an AI workforce equal to millions of top researchers working at once, against the few thousand frontier labs employ in 2026.
来源:Rohan Paul · x.com