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Simon Willison

Just ran across this quote, it’s fun to know that the fence posts on what counts as “intelligence” in AI have been consistently in motion since at least 1979!

On my blog: simonwillison.net/2024/Sep/13/

Source on Internet Archive: archive.org/details/machineswh

I heard about it on this Wikipedia page on the “AI effect”: en.wikipedia.org/wiki/AI_effec

7 comments
Mz. April Daniels

@simon I can do creativity without plagiarism or fraud, and when I do it I add to the sum of human knowledge rather than polluting it. Computers ain't gonna catch up to what I do. They can't. Sorry.

Simon Willison

@MzAprilDaniels sure, not disagreeing with you, I just think it’s funny that the “AI isn’t really intelligent, because of X” argument dates back more than 45 years at this point!

Bornach

@simon @MzAprilDaniels
AI has always been a marketing term. Once you look under the hood, understand how it works, and become aware of the limitations, it gets reclassified as an a ML application.

I was amazed by the various GPTs until I read about how transformers work and the huge amount of data they can memorise then regurgitate back at you with just enough noise to make it interesting.

Peter Bloem

@simon Early in my studies I read a quote (in an article about this effect) from an encyclopedia article in the 50s. It described the notion of "machine intelligence" and gave as an example a vending machine that could give exact change.

I've been trying to find that quote for years, but I never managed.

Jordan B. L. Smith

@simon Maybe the issue isn't the fence-post-movers (people saying "this isn't intelligent yet"), but the fence-post-planters: i.e., those boldly offering a definition of intelligence, usually one that depends on performing a given task.

The "is it AI yet?" game may be decades old now, but the game of defining measures of intelligence that turn out to be naive and/or racist is much older, as Stephen J. Gould describes in The Mismeasure of Man.

tdietterich

@simon This reflects the difficulty of defining "intelligence". When a previously-unsolved problem is solved via a method that is clearly ad hoc, the field naturally moves the goal posts. Problem-by-problem, we discover what is easy and what is hard for computers.

John Abbe (aka Slow)

@simon I remember when the idea was the computer couldn't learn. That one never made sense to me at all, even on simple computers you can write a program that seems to learn as it goes.

Being introduced to computing by terminal and then PC, I didn't understand that up to that time, most programmers had probably been working on batch processing of data, having put the human "computers" out of work.

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