There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.
  • wampus@lemmy.caEnglish
    5·
    2 days ago

    I can’t help but laugh at the note about small start ups lead by 19-20 YOs succeeding with millions of dollars by ‘partnering well’ and so on.

    The success or failure of these AI companies seems almost entirely driven by the amount of Venture Capital thrown at them. A company like Perplexity, with practically zero product, having been formed less than 5 years ago, but being able to put up $35 billion in an offer to buy google chrome… I can’t help but suspect that a big part of it is google handing perplexity a pile of money via “Venture Capitalist” screens, to help offload Chrome to mitigate their regulatory monopoly problems. But whatever the details, them having that pile of money is sure as shit not a matter of having a good product / partnering with other industries well.

  • k0e3@lemmy.caEnglish
    21·
    3 days ago

    I hate when they make these “holographic screen” images and the screen isn’t mirrored. If the guy that’s working on it is looking at it normally, then it should be mirrored for the camera.

    • Doorknob@lemmy.worldEnglish
      14·
      3 days ago

      It’s actually a really good representation of how execs are viewing AI. It’s a bunch of meaningless graphs and pictures of robots with the word ‘AI’ sprinkled over the place, the whole thing is backwards for the worker, and it’s imaginary.

  • graycube@lemmy.worldEnglish
    671·
    3 days ago

    We also don’t know the true cost of these tools since most AI service providers are still operating at a loss.

  • Rooty@lemmy.worldEnglish
    10·
    2 days ago

    Makes a planet burning bullshit machine.

    Does not have any monetization plans.

    “I’m telling you guys, it’s only a matter of time before investor money starts rolling in”

  • Buffalox@lemmy.worldEnglish
    312·
    3 days ago

    As a non native English speaker, I found the “pilot” thing a bit confusing. But:

    pilot = pilot program

    And then it made sense.

    Anyways I think it’s not so much the 95% that fail that matter, it’s the 5% that succeed.

    • UnderpantsWeevil@lemmy.worldEnglish
      12·
      3 days ago

      Anyways I think it’s not so much the 95% that fail that matter, it’s the 5% that succeed.

      Succeeding in what is also a critical point.

      Succeeding in dramatically improving the library sciences? In rapidly sequencing and modeling data in chemistry or biology? In language translation? Cool. Cool. Cool.

      Succeeding in slop-ifying mass media? In convincingly fabricating data to dupe industry professionals and regulatory officials? In jamming up my phone with automated sales calls? Less cool.

      • Buffalox@lemmy.worldEnglish
        32·
        3 days ago

        Correct, not all things that matter are positive.

        But it’s the 5% we need to focus on.

  • Kissaki@feddit.orgEnglish
    13·
    3 days ago

    for example, “have seen revenues jump from zero to $20 million in a year,” he said. “It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,” he added.

    Sounds like they were able to sell their AI services. That doesn’t really measure AI success, only product market success.

    Celebrating a revenue jump from zero, presumably because they did not exist before, is… quite surprising. It’s not like they became more efficient thanks to AI.

  • SocialMediaRefugee@lemmy.worldEnglish
    7·
    3 days ago

    All work with AI has to be double checked. It only works on the first try in the simplest of cases. Even then I need it to run through a few iterations to get the code features I want. You still have to be able to run through the code and understand it regardless of the source.

  • Kissaki@feddit.orgEnglish
    2·
    3 days ago

    I’m confused by the article suddenly changing to seemingly other semi-related topics and pieces.

  • FlashMobOfOne@lemmy.worldEnglish
    2·
    3 days ago

    I hope you’re all keeping some money set aside for when the LLM bubble pops. It could end up being the best time to invest at a discount since March 2020.