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citnaj's profile
Jason Antic
Jason Antic
Jason Antic
@citnaj

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Jason Antic

@citnaj

Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.

Ocean Beach, San Diego
deoldify.ai
Joined January 2010

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    Jason Antic‏ @citnaj 17 Dec 2019
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    1/ One thing I really think is an interesting problem of being human esp in this modern era of information overload is that there’s this tendency to fixate on the words and models in our heads and neglecting to ground that with actual real world reality checks. We spend a lot

    12:17 AM - 17 Dec 2019
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    • President-Elect jack Lord oatkon Carlos E. Perez BISHAL SANTRA Kevin Waddle Benjamin Tsui mani #CloudDog☁️#DataDog📊 Saurabh Jain 🇮🇳 Riccardo Michael Hecht
    4 replies 1 retweet 23 likes
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      2. Jason Antic‏ @citnaj 17 Dec 2019
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        2/ of energy, heated emotion and time getting carried away with what often just amount to ridiculous caricatures of reality and other people in our heads. It seems to me this is particularly amplified and problematic these days because we’re spending more and more time

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      3. Jason Antic‏ @citnaj 17 Dec 2019
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        3/ with pushing these groundless symbols around in our heads,via social media, office work, and then going on to the unreality of media. I do wonder how much of this contributes to how conspiracy theories and complete disconnects from reality in general proliferate.

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      4. End of conversation
      1. Codex‏ @codexeditor 17 Dec 2019
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        Replying to @citnaj

        I'm very interested in this problem with Codex: the disentanglement of words and referents, by directly annotating ambiguity (or multiple interpretation). A tool for separating word from thought could have value both in communication (with others) and analysis.

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      1. Carlos E. Perez‏ @IntuitMachine 17 Dec 2019
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        Replying to @citnaj

        Humans use heuristics (aka Cognitive biases) to navigate the information space. The flaws of these heuristics are magnified by increasing cognitive load. One kind of load is information overload.

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      1. Scott Loper‏ @scottmloper 17 Dec 2019
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        Replying to @citnaj

        The problem you’re describing seems to me paralleled in ML with training a GAN with limited training info with no reintroduction of data. Reality checks and some status meetings are good for us and I expect would be good for GANs too. We can learn from our creations too! :)

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