Echoes a discussion we’re having at work at the moment. What support does this (outlined roughly as above) field need in Ssweden? What parts of the map are closer to ‘application’ in the real world as different from more speculative theoritizing?
A couple of weeks ago when AlphaGo beat a human opponent at Go, Jason Kottke noted
“Generally speaking, until recently machines were predictable and more or less easily understood. That’s central to the definition of a machine, you might say. You build them to do X, Y, & Z and that’s what they do. A car built to do 0-60 in 4.2 seconds isn’t suddenly going to do it in 3.6 seconds under the same conditions.
Now machines are starting to be built to think for themselves, creatively and unpredictably. Some emergent, non-linear shit is going on. And humans are having a hard time figuring out not only what the machine is up to but how it’s even thinking about it, which strikes me as a relatively new development in our relationship. It is not all that hard to imagine, in time, an even smarter AlphaGo that can do more…
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