619. How to Poison the A.I. Machine | Freakonomics Radio

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  • เผยแพร่เมื่อ 25 ม.ค. 2025

ความคิดเห็น • 16

  • @SteveBoyington-i1e
    @SteveBoyington-i1e 19 ชั่วโมงที่ผ่านมา +4

    Kurt Vonnegut wrote "Player Piano" in 1952. When I went to earn my engineering degree in the late 1980s we read and discussed it in a course about technology and its effect on society. I encourage people to read it. 1952!

  • @emceeunderdogrising
    @emceeunderdogrising 9 ชั่วโมงที่ผ่านมา +1

    It's gotten to the point where people are using browser extensions to go back in time to before AI took over. The lack of trust in the internet feels far more permanent.

  • @wtfpwnz0red
    @wtfpwnz0red วันที่ผ่านมา +3

    Imitation is the sincerest form of battery

    • @dosesandmimoses
      @dosesandmimoses 6 ชั่วโมงที่ผ่านมา

      Very clever! May I use this quote? If so, may I cite you as the author?

  • @luck484
    @luck484 วันที่ผ่านมา +4

    What people do and what happens when they do it often does not work out as plan or intended. The reality we inhabit with the successes and failures is mostly a matter of luck. Most people who have been lucky believe they owe their station in life to hard work and insight. Mostly they deceive themselves and since they are deceived, the stories they tell and the beliefs they hold perpetuate this deception. I am guessing that what AI has done and will do is participate in this deception. If and when this becomes commonly believed to be true, it will be really painful for a lot of people and not the people who have become aware of the deception earlier than most.

  • @RichardX-s3s
    @RichardX-s3s วันที่ผ่านมา

    It's going to be a mixed bag. The cats have escaped the container and they will go feral and they will warm our hearts just like another human. bravo and well done. thank you for your time. form Oklahoma USA

  • @SteveBoyington-i1e
    @SteveBoyington-i1e 19 ชั่วโมงที่ผ่านมา

    What AI will do is figure out a way to do things that used to be done by people. Instead of employing tens or hundreds or thousands of people, they will try to employ one computer. All the earnings of thousands of people will now go to a few dozen. That is only a good outcome for the few dozen. The thousands will correctly work to prevent that, and I will side with the thousands every time.

  • @keithwins
    @keithwins วันที่ผ่านมา +3

    32:40 "The hype bubble is bursting..."
    No, I think this is ill informed. He talks about the problem being a shortage of data, but if we take a step back, perhaps it is sufficient to build a model that is better than any human ever, or in fact the combined effects of all humans in sorting things out / being intelligent. The thing is, there is no single human nor the entire collection of all humans that will make real-time well-digested use of all data ever... So actually, training efficiency is what's important. So then consider the deepseek r1 model, which is competitive on many metrics with chatGPT 01 but trained for something like 1/10 the price. That cost may reflect a significant improvement in training efficiency, understood to mean the capacity to develop coherent and useful models per training set volume. The ability to develop coherent and useful models could be considered to approximately equate to intelligence, or at least a central aspect of it.

    • @mf--
      @mf-- วันที่ผ่านมา +1

      Deepseek thinks it is chatgpt. Most people think deepseek is just a focused layer on top of chatgpt. It would still take that much effort to make the model from scratch.

    • @DrKnowsMore
      @DrKnowsMore 17 ชั่วโมงที่ผ่านมา +1

      That literally makes no sense.

  • @wietzejohanneskrikke1910
    @wietzejohanneskrikke1910 12 ชั่วโมงที่ผ่านมา

    Apparent suicide? That is doubtful.

  • @ErikDJ123
    @ErikDJ123 วันที่ผ่านมา +1

    Wow, what a hostile interviewer.