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Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes

Technology
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  • New Grads Hit AI Job Wall as Market Flips Upside Down

    Technology technology
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    Niemand hat geantwortet
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    B
    No, LCOE is an aggregated sum of all the cash flows, with the proper discount rates applied based on when that cash flow happens, complete with the cost of borrowing (that is, interest) and the changes in prices (that is, inflation). The rates charged to the ratepayers (approved by state PUCs) are going to go up over time, with inflation, but the effect of that on the overall economics will also be blunted by the time value of money and the interest paid on the up-front costs in the meantime. When you have to pay up front for the construction of a power plant, you have to pay interest on those borrowed funds for the entire life cycle, so that steadily increasing prices over time is part of the overall cost modeling.
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    It really depends on the company. Some look for any way to squeeze you. Others are pretty decent and probably more efficient as they dont waste as many working hours on bullshit claims and claim resolution. Also if i rent a car i want things to go smoothly. I got places to be. You make my life easy, ill happily pay again and do my best to make yours easy too.
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    N
    That’s a very emphatic restatement of your initial claim. I can’t help but notice that, for all the fancy formatting, that wall of text doesn’t contain a single line which actually defines the difference between “learning” and “statistical optimization”. It just repeats the claim that they are different without supporting that claim in any way. Nothing in there, precludes the alternative hypothesis; that human learning is entirely (or almost entirely) an emergent property of “statistical optimization”. Without some definition of what the difference would be we can’t even theorize a test
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    toastedravioli@midwest.socialT
    ChatGPT is not a doctor. But models trained on imaging can actually be a very useful tool for them to utilize. Even years ago, just before the AI “boom”, they were asking doctors for details on how they examine patient images and then training models on that. They found that the AI was “better” than doctors specifically because it followed the doctor’s advice 100% of the time; thereby eliminating any kind of bias from the doctor that might interfere with following their own training. Of course, the splashy headline “AI better than doctors” was ridiculous. But it does show the benefit of having a neutral tool for doctors to utilize, especially when looking at images for people who are outside of the typical demographics that much medical training is based on. (As in mostly just white men. For example, everything they train doctors on regarding knee imagining comes from images of the knees of coal miners in the UK some decades ago)
  • Bill Gates and Linus Torvalds meet for the first time.

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    That must have taken some diplomacy, but it would have been even more impressive to have convinced Stallman to come too
  • Elon Musk’s SpaceX Starship explodes on test stand

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    Are the cars shitty, or are they ranked 3rd?
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    The problem is the cost of each. Right now material is dirt cheap and energy prices are going up. And we are not good at long term planning.