Once you’ve trained your large language model on the entire written output of humanity, where do you go? Here’s Ilya Sutskever, ex-OpenAI, admitting to Reuters that they’ve plateaued: [Reuters] The…

I’m usually the one saying “AI is already as good as it’s gonna get, for a long while.”

This article, in contrast, is quotes from folks making the next AI generation - saying the same.

  • CethinEnglish
    14•23 hours ago

    We’ve come a long way in computing, but the computational power difference between a human brain and a computer is significant. LLMs were just a smart way to have computers learn pattern recognition. While important, it isn’t anything close to artificial general intelligence (AGI), which is what the term AI usually means.

    • @[email protected]English
      5•20 hours ago

      Yeah.   AI may grind for a while but hardly anyone has put the current stuff to work, yet.   We will be feeling the benefits of what is released right now for a decade to come.   I am working on a very rudimentary application that will use ML at work and it won’t come out for 12 more months, and it hardly does anything but make the most obvious decisions 10m times faster than I can.   But it’s going to fundamentally change our labor model.

      There are regular folks applying amazing technologies that go way beyond content generation.

      The tech may grind but the application of that tech is barely getting its feet and should run hard for a decade.