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Cake day: July 18th, 2023

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  • Someone mentioned in a lower level reply, but Startrek and the Orville are great for political / social commentary.

    I think a fair amount of sitcoms have some element of educating on social norms. Seinfeld and Its Always Sunny maybe require more prior knowledge about subject matters, but covering things like abortion, immigration, racism, etc.

    Mythbusters and similar are pretty good about being “adult” science shows.

    Maybe documentaries don’t really count as “entertainment” the way you’re looking for, but Planet Earth is a great series.











  • Like many any media tied to a specific culture, it assumes a familiarity with the culture - in this case shinto beliefs and japanese folklore. If you’re unfamiliar with those things then a lot of the rules and situations seem to be random and come out of nowhere.

    A similar scenario would be like watching Scream or Scary Movie without having seen the movies they make references to. You might still enjoy the movie, but without the context of the films they satrize/parodize you won’t fully appreciate what the movie is doing.

    It makes it an understandable criticisim, accesibility of a movie is a valid complaint. However, I don’t think it’s one that necessarily reflects on the quality of the movie, but rather is a warning about who will appreciate it.


  • Haha, I’m happy to go deep on this if you want, but will keep this post shortish.

    Types of data (structured vs unstructured) and types of ML (supervised vs unsupervised vs reinforcement learning) are different.

    The way Generative AI models are trained is generally very different than genetic algorithms and typically uses a mixture of Reinforcement Learning and Supervised learning with a diffusion or transformer backend (type of deep learning layer).

    GANs probably count as generative AI, but predate the current AI models by a few years. Their approach is more about competing models than survival of the fittest, as it has a model that generates and a model that critiques. Their main drawback was that they could really only output content in a narrow range (faces or landscapes, but not both).


  • I’m not aware of genetic algorithms being used in GenAI. Genetic algorithms really had their hayday in the 1990s to my understanding. They’re generally very limited due to the heuristic like approach to refining the underlying model.

    As for structured vs unstructured, you can typically think of it as whether or not the information is “machine readable” or has an explicit structure.

    With the Factorio setting the structure is the grid (how many spaces are there to work with) and what structures you can place on each grid space. So in an x by y rectangle the algorithm has to decide what of the z types of structures should be at each spot on the grid (effectively an xyz output space)

    Conversley with language/text you run into many different problems. Just trying to define how many words there are is an ever evolving challenge. While you might be limited to 26 characters, there are no rules about how long or short a sentence is, grammer is flexible, conjugations are all over the place, and the meaning of a sentence can change based on the last word Garden path sentence. Essentially, there is no definitive meaning of any sentence without a contextual lens to provide it structure.