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    Governments urged to track how much AI research is already done by AI

    A post describes the policy paper as the work of more than 20 experts, including Geoffrey Hinton and Yoshua Bengio.

    Rohan PaulRP
    1 Source, 37m ago, first seen 37m ago

    TLDR

    A post describes a policy paper calling for governments to track how much AI research AI is doing. It says that if AI reached expert level and runtime costs stayed comparable, one frontier developer’s 2026 compute could run an AI workforce equivalent to millions of top researchers working at once, compared with the few thousand employed by frontier labs.

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    1 Source, first seen 37m ago

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    1 Source, first seen 37m ago

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    Rohan Paul@rohanpaul_aiA 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 2026.1h
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    1 Source

    Rohan Paul@rohanpaul_aiA 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 2026.1h