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by Animats
3581 days ago
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It's a surprise-free document. It could have read roughly the same in 1985, but different technologies would have been mentioned. The big change in AI is that it now makes money. AI used to be about five academic groups with 10-20 people each. The early startups all failed. Now it's an industry, maybe three orders of magnitude bigger. This accelerates progress. Technically, the big change in AI is that digesting raw data from cameras and microphones now works well. The front end of perception is much better than it used to be. Much of this is brute-force computation applied to old algorithms. "Deep learning" is a few simple tricks on old neural nets powered by vast compute resources. |
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Boole called his algebra "The Laws of Thought"; OOP; lisp was an AI technology (much of which has made its way into other languages); formal languages; etc.
The traditional goalpost rule is that once computers can do it, it's no longer "intelligent" (e.g, chess). A change today is "AI" success as a marketing term.