IBM CEO Arvind Krishna walked through some napkin math on Big Tech's AI data center spending — and raised some doubts on if it'll prove profitable.
  • IBM’s CEO walked through some napkin math on data centers— and said that there’s “no way” to turn a profit at current costs.
  • “$8 trillion of CapEx means you need roughly $800 billion of profit just to pay for the interest,” Arvind Krishna told “Decoder.”
  • Krishna was skeptical of that current tech would reach AGI, putting the likelihood between 0-1%.
  • AA5B@lemmy.world
    191·
    1 day ago

    So far my direct experience with ai is

    • minor efficiency improvements as another programming tool. It can help with syntax, boilerplate, scaling out unit tests BUT IS NEVER. A FINAL PRODUCT
    • MAJOR time sink from junior developers who let ai run amuck without putting in the effort to make it work
    • TECH DEBT from hundreds of excessive unit tests poorly written for maintainability and with no added value
    • INSTABILITY from junior developers letting ai commit slop to the default branch, wasting my time trying to back out thousands of lines of nonsense
    • MISMANAGEMENT where I felt forced to run my writeups through ai to “translate” into something recognizably generated so I could fulfill mandates to use ai
    • panda_abyss@lemmy.ca
      31·
      19 hours ago

      If your juniors can commit slop directly to main the problem isn’t them or the AI, it’s your process.

      Mandates to use AI are the stupidest fucking thing I’ve ever heard. I quit a company over it last year.

      I don’t get it. Do managers think the guys plowing the fields saw someone go by with an ox an cart and went “I keep hearing about these ox carts, but I need my manager to tell me to use it before I try”? No. The ox and cart was better than plowing the field by hand, obviously so.

      If the domain experts don’t feel like a tool makes them productive, forcing them to use it isn’t going to make them productive.