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174 points Philpax | 3 comments | | HN request time: 0.24s | source
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dmwilcox ◴[] No.43722753[source]
I've been saying this for a decade already but I guess it is worth saying here. I'm not afraid AI or a hammer is going to become intelligent (or jump up and hit me in the head either).

It is science fiction to think that a system like a computer can behave at all like a brain. Computers are incredibly rigid systems with only the limited variance we permit. "Software" is flexible in comparison to creating dedicated circuits for our computations but is nothing by comparison to our minds.

Ask yourself, why is it so hard to get a cryptographically secure random number? Because computers are pure unadulterated determinism -- put the same random seed value in your code and get the same "random numbers" every time in the same order. Computers need to be like this to be good tools.

Assuming that AGI is possible in the kinds of computers we know how to build means that we think a mind can be reduced to a probabilistic or deterministic system. And from my brief experience on this planet I don't believe that premise. Your experience may differ and it might be fun to talk about.

In Aristotle's ethics he talks a lot about ergon (purpose) -- hammers are different than people, computers are different than people, they have an obvious purpose (because they are tools made with an end in mind). Minds strive -- we have desires, wants and needs -- even if it is simply to survive or better yet thrive (eudaimonia).

An attempt to create a mind is another thing entirely and not something we know how to start. Rolling dice hasn't gotten anywhere. So I'd wager AGI somewhere in the realm of 30 years to never.

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1. ukFxqnLa2sBSBf6 ◴[] No.43725619[source]
I guarantee computers are better at generating random numbers than humans lol
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2. uh_uh ◴[] No.43725692[source]
Not only that but LLMs unsurprisingly make similar distributional mistakes as humans do when asked to generate random numbers.
3. pyfon ◴[] No.43725876[source]
Computers are better at hashing entropy.