[–] 36 points 2 weeks ago (3 children)

I’m struggling to work out the drama, who did what, what was scraped etc.

Either way, the other group were also heavily driving their work with LLMs. This and the other recent llm solutions that have been published do seem to be a huge step change in math and probably other verifiable fields. With massive discoveries and results being a result of pouring compute and capital at the problem rather than human labour.

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    https://digitaleconomy.stanford.edu/wp-content/uploads/2025/08/Canaries_BrynjolfssonChandarChen.pdf

    We find that since the widespread adoption of generative AI, early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13 percent relative decline in employment even after controlling for firm-level shocks

     

    https://www.aisnakeoil.com/p/ai-as-normal-technology

    Overly academic, but a good article on how to think about AI risks vs the usual media hype bullshit.

    tl:dr; authors predict slow adoption, risks are the usual capitalist crises being exacerbated and defence against these are the usual ones (collective action, regulation etc). We can just pull the plug out of the superintelligent skynet.

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