Apropos of AlphaGo (BetaGo?), why reinforcement learning AIs are here to stay: agent AIs are smarter & fasterhttps://www.gwern.net/Tool%20AI
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Replying to @gwern
"google maps is not an agent" and yet it does things like this http://www.bldgblog.com/2017/01/the-season-of-burning-trucks/ …pic.twitter.com/8QimN3k436
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Replying to @allgebrah @gwern
maybe I'm just rephrasing you here, but tool AI and a company using it combine into an agent AI (albeit with a longer feedback loop)
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Replying to @allgebrah @gwern
no such thing as a real-world boxed AI; if you make maps that people use, you can expect them to impact the territory
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Replying to @allgebrah @gwern
so it seems less a choice between tool and agent, and more one between crippled ill-understood agent and better-understood agent
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Replying to @allgebrah @gwern
reason I'm so excited about this: a *very* similar thing crops up in a philosophy of magic(k) I'm collecting material for
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Replying to @allgebrah @gwern
'(·) Retweeted '(·)
where science is descriptive, concerned with models, while magic is about how those models form the worldhttps://twitter.com/allgebrah/status/784495477173678080 …
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Replying to @allgebrah @gwern
the scientific method works in a space where your predictions don't affect the outcome. that breaks down in the 'softer' sciences
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Replying to @allgebrah @gwern
which is why it wasn't physics which came up with the tinkerbell effect or the thomas theorem
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Replying to @allgebrah @gwern
a "magical method" as opposed to the scientific method would embrace its effects. more general, but less elegant & harder to manage
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and lo behold, it is the same division I see between tool AIs (maps embedded in processes) and agent AIs (processes)
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Replying to @allgebrah @gwern
It's hard to talk about magic without sounding like a kook. Yet I think this is an interesting/fruitful way to go down
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