They’re two different tools with different purposes, so why treat one like it can replace the other?

  • litchralee@sh.itjust.works
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    1 day ago

    Money and incentives are very powerful, but also remember that these organizations are made of humans. And humans are vain.

    Amassing station and power can scarcely be divorced from the history of human civilization, and even fairly trivial things like the job title of “AI engineer” or whatever might be alluring to those aspiring for it.

    To that end, it’s not inhuman to pursue “the next big thing”, however misguided that thing may be. All good lies are wrapped in a kernel of truth, and the fact is that machine learning and LLMs have been in development for decades and do have a few concrete contributions to scientific endeavors. But that’s the small kernel, and surrounding it is a soup of lies, exaggerations, and inexactitudes which somehow keep drawing more entities into the fold.

    Governments, businesses, and universities seem eager to get on the bandwagon before it departs the station, but where is it heading? Probably nowhere good. But hey, it’s new and shiny, and when nothing else suggests a quick turnaround for systemic political, economic, or academic issues (usually caused by colonialism, fascism, debt, racism, or social change), then might as well hitch onto the bandwagon and pray for the best.