The number of paying subscribers for Copilot has leaked, and it is a disaster. Now even reshaping Satya Nadella’s CEO role into tech leadership rather than delivering commercial results.

  • Aceticon@lemmy.dbzer0.com
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    4 hours ago

    Just to add that Neural Networks have already been used for ages.

    For example, early automated mail sorting systems in the 90s used them to recognized postal codes.

    For literally decades, slowly and steadilly they’ve been finding more niches were they add value and then somebody comes up with NN styles of model for natural language text generators and “good enough to deceive non-expert” image generation - so with interfaces which are accessible to MBAs - and suddenly all the Venture Capitalist and Oversized Tech Company CEO types latch on to the thing and pump up what seems to be the biggest Tech bubble ever.

    I expect that after the bubble bursts and the massive pain of unwinding the gigantic resource misallocation due to it is over, NNs will be back on track at slowly and steadily finding more niches were they add value.

    • mindbleach@sh.itjust.works
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      2 hours ago

      Right, should say deep neural networks. Perceptrons hit a brick wall because there’s some problems they cannot handle. Multi-layer networks stalled because nobody went ‘what if we just pretend there’s a gradient?’ until twenty-goddamn-twelve.

      Broad applications will emerge and succeed. LLMs kinda-sorta-almost work for nearly anything. What current grifters have proven is that billions of dollars won’t overcome fundamental problems in network design. “What’s the next word?” is simply the wrong question, for a combination chatbot / editor / search engine / code generator / puzzle solver / chess engine / air fryer. But it’s obviously possible for one program to do all those things. (Assuming you place your frozen shrimp directly atop the video card.) Developing that program will closely resemble efforts to uplift LLMs. We’re just never gonna get there from LLMs specifically.