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    Heavy human workloads and prospects for explosive AI self-improvement

    A reply argues that automating the digital side of research would still leave a bottleneck: the friction of human interactions and relationships.

    DP
    1 Source, 18d ago, first seen 18d ago

    TLDR

    One post questions whether AI has entered recursive self-improvement, pointing to the intense, often narrow work people still do at frontier AI labs. The author expects human effort to progressively decrease in that scenario and suggests AI may be approaching it rather than already being there. They see research automation accelerating progress, but not in an immediately explosive way. A reply adds that even automating all the digital parts of research would leave human interactions and relationships as sources of friction.

    Combined views

    512

    1 Source, first seen 18d ago

    Combined views

    512

    1 Source, first seen 18d ago

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    9 likes
    1 comments
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    1 comments
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    1 Source

    @DimitrisPapailI think people underestimate the friction of the human factor in all enterprise (or not) endeavors. You can automate all the “digital” parts of the research process but one is eventually bound by human interactions and relations and the friction across them. The simplest example I have is this. Translation is solved. Take ChatGPT and go to a random village with a non traditional dialect in Greece attempting to build a house. Good freaking luck ;) and that’s a far simpler task than building super intelligence.

    1 Source

    @DimitrisPapailI think people underestimate the friction of the human factor in all enterprise (or not) endeavors. You can automate all the “digital” parts of the research process but one is eventually bound by human interactions and relations and the friction across them. The simplest example I have is this. Translation is solved. Take ChatGPT and go to a random village with a non traditional dialect in Greece attempting to build a house. Good freaking luck ;) and that’s a far simpler task than building super intelligence.