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Since @OpenAI still has not changed misleading blog post about "solving the Rubik's cube", I attach detailed analysis, comparing what they say and imply with what they actually did. IMHO most would not be obvious to nonexperts.
Please zoom in to read & judge for yourself.pic.twitter.com/R7HgnyyNRj
I will say again that the work itself is impressive, but mischaracterized, and that a better title would have been "manipulating a Rubik's cube using reinforcement learning" or "progress in manipulation with dextrous robotic hands" or similar lines.
But dexterity is the hard/new part. When humans say they can solve a Rubik's cube, they usually mean they can mechanically follow the steps to a solution. The only non-trivial parts of making a robot do that are the dexterity and the vision, and the vision part is already solved.
actually they had to instrument they cube and the hand because vision was not adequately solved; that was on my list of points.
This criticism is a mix of misleading and incorrect comments, though I agree the use of Kociemba's algorithm should have been stated more prominently in less technical terms.https://www.reddit.com/r/MachineLearning/comments/dkd4vz/d_gary_marcus_tweet_on_openai_still_has_not/f4d8lmq/ …
i have replied to you on reddit.
Ah....so this was not an off-the-shelf cube, but rather one that had been modified to contain electronic elements from which cube orientation could be detected?
Yep, a lot of the work was instrumenting the cube:pic.twitter.com/6ko5rRblg7
What's your take on OpenAI's GPT-2 that's been covered by the New Yorker? https://www.newyorker.com/magazine/2019/10/14/can-a-machine-learn-to-write-for-the-new-yorker … .
my (somewhat implicit) take on gpt-2 was here, a bit earlier:https://www.wired.com/story/adaptation-if-computers-are-so-smart-how-come-they-cant-read/ …
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