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I'm quoted in the article linked in the OP, and a couple other recent ones: https://www.wired.com/story/ai-latest-trick-writing-computer-code/ https://www.wire
by moyix 5y ago
I'm quoted in the article linked in the OP, and a couple other recent ones:
https://www.wired.com/story/ai-latest-trick-writing-computer-code/ https://www.wired.com/story/ai-latest-trick-writing-computer...
https://cacm.acm.org/news/253785-will-ai-rewrite-coding/fulltext?__s=mcydrchkkkzj8wy2wf1k https://cacm.acm.org/news/253785-will-ai-rewrite-coding/full...
I think my optimism for deep learning methods here comes not from their ability to generate code from scratch but as a way to guide a search process in the space of programs. By analogy, Go and chess are also domains where approximations won't do, but DNNs have had excellent success in finding better search strategies for the game tree. That's the kind of thing that I think might be successful here.
- YeGoblynQueenne 5y agoThanks for the links. I'm having a read. Yes, there seems to be a trend of using deep learning to guide classical search. The first time I noticed it was in AlphaGo. I was initially skeptical but it seems to have picked up and be producing results. Personally I'm not interested in that approach very much because my work is on constructive approaches, that completely avoid a search. Don't let me bore you with it (it's my doctoral research... you know how students get with their theses :) but there's links in my sig if you're curious.