I think for programmers to lose their jobs to AIs, AIs will need to grasp
the problem domain, and I'm suggesting that's far too advanced for today's
AI, and I think it's a long way off, because the problem domain for
programmers entails knowing a lot about how humans behave, what they're
good at, and bad at, what they value, and so on, not to mention the
domain-specific knowledge that is necessary to understand the problem in
the first place.

On Thu, Feb 3, 2022 at 8:23 PM Brent Meeker <[email protected]> wrote:

> So AI's won't need to "grasp the problem domain" to be effective.  Which
> may well be true.  What we call "grasping the problem" domain is being able
> to tell simple stories about it that other people can grasp and understand,
> say by reading a book.  An AI may "grasp the problem" in some much more
> comprehensive way that is too much for a human to comprehend and the human
> will say the AI is just calculating and doesn't understand the problem
> because it can't explain it to humans.
>
> That's sort of what we do when we write simulations of complex things.
> They are too complex for us to see what will happen and so we use the
> computer to tell us what will happen.  The computer can't "explain the
> result" to us and we can't grasp the whole domain of the computation, but
> we can grasp the result.
>
> Brent
>
> On 2/3/2022 4:29 PM, Terren Suydam wrote:
>
>
> Being able to grasp the problem domain is not the same thing as being
> effective in it.
>
> On Thu, Feb 3, 2022 at 6:07 PM Brent Meeker <[email protected]> wrote:
>
>>
>> I think "able to grasp the problem domain we're talking about" is giving
>> us way to much credit.  Every study of stock traders I've seen says that
>> they do no better than some simple rules of thumb like index funds.
>>
>> Brent
>>
>>
>

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