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Joined 1 year ago
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Cake day: July 18th, 2023

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  • That’s a weak defense of the season. The thing that made a lot of the classic episodes classics is that they are more or less timeless. If releasing the episode a year or two later means it’s not going to land well, then they should be rethinking the writing.

    A great example is the iPhone episode. Its a bad episode because the premise was hardly interesting even when it was relevant, and it hasn’t aged well at all.










  • To add to this, the way the AI is trained is that you pass in images with descriptions (for the most part). Since most descriptions focus on the main concepts, it generally won’t have the actual text included in the descriptions. Without the being included in the descriptions, the AI will have a hard time learning the meaning of the squiggles in the images. In addition those squiggles can represent a lot of different things, so even if it grows to “understand” letters, it’s really hard to “understand” their meaning; thus leading to a lot of weird words/text.


  • I wouldn’t focus on foundational papers, the current phase of deep learning is far enough along that there are better tutorials/resources that better distill how these models work.

    I would actually recommend you look into books on deep learning or something like a udemy course (Harvard or Stanford may also have free courses online, but I’ve never been a fan of their pacing) . I can send you some recommendations if you want, but that’s probably the best/fastest way.