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Yes, but not quite? If you ever tried to keep a knowledge base (I guess most of us did?), it's hard to do it in a "continuously updated review" mode! Too much ongoing rework. As a neuro person, I think of science as an axon growth cone: lots of probing, but limited consolidation.pic.twitter.com/Q8IGdGZSgM
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The most iconic video of all times (the very first viral video ever produced!): now stabilized, super-resolutioned, and re-colorized. I feel like it's a milestone of sorts. The closest we ever got to a time machine. Unbelievable!https://www.youtube.com/watch?v=EqbOhqXHL7E …
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Oh!! So that's the name of the artist spiritually behind my favorite animated cartoon of all times!?! TIL! :))https://www.youtube.com/watch?v=85Btwhs0ndw …
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Focus length! (And then there's also face asymmetry that Natee didn't mention, but for those of us with broken noses and crooked smiles, it can make photos almost unrecognizable, compared to the mirror :)pic.twitter.com/4mQEzf17G6
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Got inspired by you! import matplotlib.pyplot as plt f = lambda x,k,a: (x if k==0 else f(a*x*(1-x),k-1,a)) y = [f(.21,17 + i % 19, 2.5+1.5*i/10000) for i in range(10000)] plt.plot(y,'.',markersize=1); It's prob further compressable, but I can't do it :)pic.twitter.com/vHE06hYNRT
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Or look at this one. A model that can recognize characters (Cyrillic! Must be Soviet), or read Russian (Glory to Soviet Builders), AND access to texts (Soviet banners are always red) would have colored banners red. A picture-only model cannot do it. A test for _Understanding_!pic.twitter.com/YdmlQSRFJN
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What would it take for it to connect the dots? (Another photo from my archive that no model have seen before). Recognize tokens (a portrait of a tyrant), and objects (flags) - jump to an easy conclusion. But it's a great test, as color photos with Stalin almost don't exist.pic.twitter.com/zQ9uUkoGnJ
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But the model doesn't know that! And we can see the same limitations here, in spirit, that GPT-2 demonstrated with language. Both models can do correlations, like coloring a single flag, or a well-known situation. It is "aware" of Soviets. But it cannot connect the dots.pic.twitter.com/zEfom2M871
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#DeOldify by@citnaj will evolve into a powerful test of general intelligence, maybe a better one than text-generation. Below is a photo from my family album, colorized by@Deep__AI's free deoldify ( https://deepai.org/machine-learning-model/colorizer … ) But something is amiss here. Do you see it? (..thread)pic.twitter.com/AyVO8xk146
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TFW you think you are kinda familiar with a field, but then discover a classic study you never heard about.pic.twitter.com/GZxhxjXSji
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I keep obsessing about this topic, and just looked whether it would color grandiose Red Square 1st of May parades red. You know, it kinda does! Hesitantly, again (not all flags are red, and it failed to grasp that balloons should be red too), but it "knows" about the Soviets!pic.twitter.com/SY0B6E1Ccu
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I also learned that it doesn't know much about fire :) Catastrophic files, at least. Probably with them being such a rare topic. Looks surreal, doesn't it?pic.twitter.com/iKUZmawRXG
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I played with the free version for quite some time today. For example, below it seems to, very hesitantly, notice Soviet symbols and correctly guess red. By the way, is the color intensity a function of model's certainty about color assignment? Or only borders? or both?pic.twitter.com/eP0EgLqAGx
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Haha, I'm glad to have found a missing cultural competency! :) It's fun! But in some way, it's almost generalized intelligence kind of bar. Like: old photo, Cyrillic letters (or maybe, one day, even a translation: "Glory to the USSR") - has to be red! But it's a very high bar!pic.twitter.com/ZPkmWRBomq
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While this Old Believers chapel from early 20 century is, I'd say, rather successful! It errs on the "old and brown" side, but still adds reasonable splashes of color here and there!pic.twitter.com/TFkhLwTBih
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All these flags should (obviously! :) be red too! But the model is completely oblivious of that :) Isn't it funny? It's like cultural bias; something, potentially, to be studied!pic.twitter.com/9MnIQj1h73
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I have an update on our old discussion: you know what obvious thing is really underrepresented in the training set for (at least DeepAI's) deoldify? Soviet photos! :) Not surprisingly. But as a result, it doesn't know about Soviet flags. Like, all of this should be red :)pic.twitter.com/ESHOEp2a96
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Gosh, I thought you are messing with us! But Google is on your side! How is it even possible?? Like, who would win: a lofty spacious precisely manufactured 14 ml tube with lots of fluid; this flat pewter boi?..pic.twitter.com/KwQ3TKTtSQ
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One could argue that Prokudin-Gorsky "invented" it, except that he prob hated this "invention" as for him it defied the very purpose of his work! So from this point of view he definitely had not invented it :) Like look at the smoke on this photo:pic.twitter.com/Cnkjjscgve
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