I’d like to see GPT-3 do interpolations. As in, I supply first and last lines of a story, plus maybe a few waypoints, and it fills in the rest plausibly. What I’ve seen so far is a tradeoff between directedness and coherence.
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Hmm why are images important if you’re talking about text? I feel like it picks up descriptive pattern detail well enough to emulate from what I’ve seen
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Because verbalized data from human culture is a very reductive, low-dimensional slice of all human cognition. Trillions of training words sounds impressive until you think about i/o bit rate of just a minute of a single human life. It’s the equivalent of billions of words.
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Have you seen Inverse Graphics? It’s an approach to ML-based computer vision that tries to frame the problem as learning all the pieces of a rendering pipeline that could have produced the image: geometry, lights, camera position, etc. https://www.cs.toronto.edu/~hinton/csc2535/notes/lec6b.pdf …pic.twitter.com/PBwhdO8EtP
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, and that the little circly things are “wheels” but beyond self-driving app context.