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  • CeeBee_Eh@lemmy.worldtoMovies@lemmy.world•Thoughts?
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    10 days ago

    Because, they go longer and have time to dive into the details. Movies seem rushed and truncated to me after watching a series of eight or ten episodes now.

    OTOH, a lot of TV shows spend too much time on filler content in an attempt to both increase runtime but also build anticipation. Only to have the resolution at the end of the season rushed with zero room for the emotional outcome to expand and relax. Which gives it an unsatisfying feeling.

    Then, movies (that are done well) make efficient use of their time budget to tell the story and not have multiple hours of empty filler content to pad out the runtime.

    A common issue is early super hero movies was the constant re-introduction of various characters, instead of just telling the story. Which resulted in half the movie re-explaining who these various people are and then only half to tell the actual story.

    Both TV and movies have their place, it just depends on the material how well it fits.

    For example, I don’t think Lord of the Rings would have worked as a TV show, and I don’t think Wheel of Time would work as movies.

    That being said, one of the things that killed WoT was the baffling decision to veer so far from the source material. The first season spent more than half the runtime on small minor things, or things that never even happened.











  • But it is a thing… People can absolutely be racist against white people.

    It’s not a thing. If someone hates another person based on their race, that’s racism. This idea that it only applies to hate towards black people is very much a US only issue. The rest of the world understands that racism towards any person is wrong.

    Technically you could argue that “reverse racism” would be explicitly liking someone based entirely on their race, and nothing else. But even that’s a stupid way of looking at it.



  • So you’re arguing that we should all continue to support and create open source software, right?

    To be clear, that is my position.

    People didn’t stop painting when cameras were invented. Ultimate It’s just another tool that can be used.

    And LLMs can be used to reverse engineer proprietary software. So there’s that.

    And since the (US) courts have ruled that copyright violations are fine for training LLMs, we can extrapolate that using said LLMs to replicate proprietary software is also fine.


  • so you understood neurons better than neuroscientists

    No, but I have no idea what that statement has to do with artificial neurons.

    You have missed the part where no scientist worth their name claims to be able to fully explain how consciousness works and whether or not it affects our decision making.

    And you have missed the part where I explicitly mentioned that LLMs are NOT “sapient” or “sentient”, which would preclude “consciousness” also.

    Okay, I think we’re done here. You clearly have no idea what you are talking about.

    Says the person using colloquial definitions and applying them to a field of active research.

    The facts don’t care about your opinions. A basic program with hardcoded decision trees is “intelligent”. An LLM can do more at a dynamic (and probabilistic) level. Therefore, LLMs fit the academic definition of intelligence.

    Even the general word definition:

    the ability to learn or understand things or to deal with new or difficult situations.

    I can point an LLM to my code that’s never been seen by an LLM and it can read it, explain to me exactly what it does, point out bugs, and even give suggestions on areas that can be improved.

    Is it “smart”? Debatable.

    Is it conscious, sapient, sentient, or “alive”? Hard no. And that was never the argument.

    Edit: autocorrect speaking mistake


  • LLMs clap are clap not clap AI clap.

    Yes they are.

    They’re built on artificial neural networks that share a basis (a basis, not a replica) with biological neurons that produce probabilistic results (not deterministic).

    Plagiarism is the core and only mechanism of LLMs that produces anything that people get impressed by.

    As opposed to what? Don’t get me wrong, the blatant violation of copyright is a massive issue, and in a logical world would bury each and every LLM company out there. But what other mechanism to “learn” do you think exists?

    gullible people believe there is “intelligence” involved.

    If you mean “intelligence” in the colloquial sense, then sure. But that’s not the same word that researchers use. Intelligence is simply the ability to make a decision based on input data. And by that definition even an if-else statement is a form of intelligence (which it is). So then the discussion becomes the degree or “amount” intelligence.

    LLMs are absolutely intelligent. The issue is that most people conflate “intelligence” with “sentience” and “sapience”, which they are not. They aren’t “clever” or “creative”. They are extremely good at taking large swaths of information and distilling it, finding hidden patterns, of finding specific data points that are otherwise deeply buried. Good examples are finding bugs in code or novel and massively beneficial uses for existing medication (which has already happened multiple times)

    I’m not defending the current state of AI. Energy use is a problem. Water use is a problem. The grift is a problem. The copyright violations are a problem.

    But this “LLMs are not AI” rhetoric is just pure ignorance.