80% of corporate AI projects fail — twice the rate of other IT projects - eviltoast
  • leisesprecher@feddit.org
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    3 months ago

    And how often do you need to detect images of birds with an unknown accuracy?

    That’s what many tech bros don’t seem to understand: much of the software in this world is boring business crap, and that software needs mainly reliability and explainability. You can’t just throw a product around that poses an incalculable risk. And often enough the specifications of these apps is an amalgamation of decades of cruft, and needs to be changed and tweaked often in tiny ways.

    I mean, there are certainly cases where AI products have their uses, but those seem to be very small niches.

    • stochastictrebuchet@sh.itjust.works
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      3 months ago

      I agree with you. I just wanted to share some nuance. The point I wanted to make is that it is in fact possible to incorporate LLMs in a fairly controlled way while calculating (estimates of) the risk of failure as well as the associated social and financial costs. I do it every day, but I’m no tech bro and dislike the ‘AI will fix everything’ types as much as everyone here.