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Chronicles

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Researchers warn of “industrial capture” in AI as companies dominate the sector; 96% of the biggest AI models belonged to companies in 2021, up from 11% in 2010

and will ultimately shape its impact on our collective future” https://www.ft.com/... Rasmus Kleis Nielsen / @rasmus_kleis : “Private AI companies have quietly entrenched their power. Recent developments mean that a handful of individuals and corporations [control] much of the resources and knowledge in the sector — and will ultimately shape its impact on our collective future.” https://giftarticle.ft.com/...

Financial Times Madhumita Murgia

Context & Ripple Effects

This warning lands mid-arc of an already-documented shift: the costs of developing generative models are draining academia of talent while corporate labs absorb researchers, and the numbers here make that shift measurable — corporate ownership of the largest AI models went from 11% in 2010 to 96% in 2021.

The follow-on coverage shows what the concentration enables: the [[a:840010|open-source boom is built precariously on top of Big Tech's giant models like LLaMA and GPT-3]], so a handful of firms effectively decide what independent researchers can even study — exactly the entrenchment Rasmus Kleis Nielsen describes.

First-order effects

  • Academic AI labs lose their remaining competitive footing: with training costs climbing and tech salaries pulling talent out of universities, the named alternative — corporate labs at OpenAI, Meta and peers — becomes the only place frontier-scale research happens.

Second-order effects

  • Meta and OpenAI hold de facto veto power over the independent research ecosystem, since open-source efforts like LLaMA-derived work fold if the parent company closes access or stops releasing models.

Third-order effects

  • If the pattern holds, governance of AI's trajectory passes from public institutions to private ones — billionaire investors already fighting over whether AI advances safely or unfettered, and Microsoft's Inflection deal showing giants absorbing rivals through talent acquisitions rather than competition.

The trend: Frontier AI is consolidating from universities into a small set of corporations, with compute cost, talent migration and dataset geography compounding the lock-in.

Discussion

  • @madhumita29 Madhumita Murgia on x
    Fundamental AI research is now primarily the purview of large tech companies - a trend that's becoming more relevant as money & attention are showered on large language models. My piece, with insights from @NurAhmedB & @mer__edith's brilliant 2021 paper https://www.ft.com/...
  • @rasmus_kleis Rasmus Kleis Nielsen on x
    “Private AI companies have quietly entrenched their power. Recent developments mean that a handful of individuals and corporations [control] much of the resources and knowledge in the sector — and will ultimately shape its impact on our collective future.” https://giftarticle.ft.…
  • @shashidigital Shashi Shekhar Vempati on x
    Good reason for governments to examine implications of publicly accessible large models especially if such models have been built in a manner to advance specific cultural and political contexts in their generative responses https://twitter.com/...
  • @ginasue Prof Gina Neff on x
    The only thing I disagree with in this article is the word quiet—and many of us have been warning about this concentration of power for years. https://twitter.com/...
  • @phdskat Rasmus Corlin Christensen on x
    Meet the new boss, same as the old boss. “A handful of individuals and corporations now control much of the resources and knowledge in the [AI] sector — and will ultimately shape its impact on our collective future.” https://www.ft.com/...
  • @tonytassell Tony Tassell on x
    If all the big AI models are in private hands, how can they audited? If those in control want to use them for primarily for commercial reasons what about other uses for the broader public good? @madhumita29 col here on the risks of industrial capture https://www.ft.com/...
  • @emilybell Emily Bell on x
    There is *always* a policy solution - just not one that the US has ever found politically or commercially expedient (see @DianeCoyle1859 in this thread - we need more urgent political will for public interest knowledge ownership) https://twitter.com/...
  • @charliebeckett Charlie Beckett on x
    I can't see a policy solution to this> “Recent developments mean that a handful of individuals and corporations now control much of the resources and knowledge in the sector — and will ultimately shape its impact on our collective future” https://www.ft.com/...