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Re:Peter Norvig critically reviews AlphaCode's code quality by nighthawk454 on Friday December 16, 2022 @06:52PM (#34022323)
By that logic a parrot should be doing calculus within 10-20 years of its first word. Unlikely...

It's a fallacy to anthropomorphize a pile of linear algebra, relate it to a scale of human development, and extrapolate that AI is on a similar trajectory of progress/potential.

Relevant xkcd: https://xkcd.com/605/

Re:Peter Norvig critically reviews AlphaCode's code quality by johnfn on Friday December 16, 2022 @07:24PM (#34022610)
> By that logic a parrot should be doing calculus within 10-20 years of its first word. Unlikely...

If a parrot's brain grew exponentially every year for 20 years, then I might expect it to. :)

> It's a fallacy to anthropomorphize a pile of linear algebra, relate it to a scale of human development, and extrapolate that AI is on a similar trajectory of progress/potential.

I don't believe I said any of those things.

Re:Peter Norvig critically reviews AlphaCode's code quality by CamperBob2 on Friday December 16, 2022 @10:33PM (#34024268)
By that logic a parrot should be doing calculus within 10-20 years of its first word. Unlikely...

I don't know about parrots, but if you could take a corvid and grant it the same rate of improvement in brain size and training input that these models are receiving, I wouldn't be the least bit surprised to see it doing calculus within 10-20 years.

Re:Peter Norvig critically reviews AlphaCode's code quality by nighthawk454 on Saturday December 17, 2022 @01:22AM (#34025362)
Size isn't everything. It's not about the brain growing - it's about the teaching methods. Right now, I think it's still an open question whether current architectures and objectives are for sure capable of reasoning/AGI/etc or not. If they're not, then scale itself isn't the answer.