Here's a link to a writeup I did highlighting a blog post Max Woolf wrote, where he astutely observes that Sturgeon's Law applies freakishly well to the current AI landscape.
In short, "90% of everything is crap". This is true of everything. But what makes it particularly of note when it comes to AI is this: the ease of use of AI tools means that ninety percent is a very, very deep pile indeed. The remaining 10% of AI related stuff that's actually useful, thought-provoking, insightful, or otherwise fantastic is swamped by the seemingly endless deluge of... crap.
We judge our junk by the 10% we like, and judge others by the 90% we don't. And the 90% of AI-generated stuff is big enough that there's something for everyone to dislike.
There's a sizable backlash as a result. Good elements are practically invisible due to how quickly the industry is moving, the speed with which the big players are vying to control it, and how unfashionable it has become to admit one is using AI tools at all.
Sturgeon's Law may apply to AI just like it applies to everything else, but the scale involved means there's a bigger problem here than some may realize. One thing that's clear is that it's not yet a solved problem, that's for sure.
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