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The Economy

Discussion in 'Sports and News' started by TigerVols, May 14, 2020.

  1. Neutral Corner

    Neutral Corner Well-Known Member

    When the union vote won over Amazon in the first of seven Amazon warehouses in Quebec, Amazon closed all seven of its centers in the province. I'll reserve my happiness for the Amazon employees in Philadelphia for a while yet. I suspect that current federal support for unionization efforts will not reach the same level that they did under Joe Biden.
     
  2. TigerVols

    TigerVols Well-Known Member

    Only, all those movies we’ve seen where computers destroy the world? Well, we’re still here. And our lives are undoubtedly exponentially better as a result of them.
     
  3. Batman

    Batman Well-Known Member

    So you, for one, welcome our new robot overlords.
     
    dixiehack likes this.
  4. Michael_ Gee

    Michael_ Gee Well-Known Member

    As far as I can tell (I am sure there are more useful industrial and business uses), the primary benefit to date of AI is that it enables lazy students from having to do their own papers. So far, the robot apocalypse is off to a slow start.
     
  5. Batman

    Batman Well-Known Member

    Always remember, this is the worst version of AI that will ever exist.
     
  6. dixiehack

    dixiehack Well-Known Member

    Perhaps the least effective. Don’t discount the power of “better” AI to make life a helluva lot worse for many working folks.
     
  7. Hermes

    Hermes Well-Known Member

    There’s a possibility that if you keep feeding it more information and much of that information is bad information, it just keeps getting worse.
     
    sgreenwell likes this.
  8. TigerVols

    TigerVols Well-Known Member

    As long as I can continue to profit off them, sure.
     
  9. DanielSimpsonDay

    DanielSimpsonDay Well-Known Member

    It's used in parts inspection and to monitor and address process drift in manufacturing. Very useful in that regard.

    Generative AI with LLMs and, even worse, video, is a waste. At best, it automates low-value, rudimentary tasks all for the low, low price of $1T+ of investment thanks to the stratospheric amounts of IT, data center infrastructure, and compute required to generate even the most rudimentary term paper and Facebook AI slop. Oh, it also does not get cheaper with scale thanks to the consistent capital needs and voracious power consumption.

    The models have almost run out of training data (violating a host of copyright law in the process) and new information cannot be produced at a rate that will make these models appreciably better in the near term. The only thing that can produce large volumes of information at scale is the LLMs themselves, which is the epitome of GIGO.

    It is being used for discovering drug targets because it can find potential multiomic correlations and relationships much faster than an army of scientists can. That said, once these potential relationships are found, they need to be tested by actual people.

    Because it's all rooted in what has come before, the output generative AI spits out is no different than the autocomplete in Outlook, i.e., it's based on what is statistically most commonly related to the preceding input or prompt.
     
  10. BTExpress

    BTExpress Well-Known Member

    But did Josh Allen get that yard or not?
     
  11. dixiehack

    dixiehack Well-Known Member

    But enough about NIL
     
    DanielSimpsonDay likes this.
  12. DanielSimpsonDay

    DanielSimpsonDay Well-Known Member

    Texas A&M still waiting on that ROI...
     
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