• 0 Posts
  • 431 Comments
Joined 2 years ago
cake
Cake day: July 5th, 2024

help-circle

  • 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.








  • I’m just saying CO2 is not the culprit. It may very well be because of something we are doing, but it is not CO2 doing it.

    It is. All the data shows it. It’s known that it functions like a greenhouse gas. It traps in heat in the atmosphere that would have normally been radiated away into space.

    The part you’re missing is that heat was being trapped for a very long time, and because large heat gradients don’t just sit in one place, that heat didn’t just stay in the air. And water is a extremely good heat sink. So all that heat that’s been trapped in by CO2 has been charging up the oceans over the decades. But we’re at the tipping point now where the oceans can’t pull in anymore, so that heat is staying in the air longer and longer. And hotter air holds more moisture, which makes the air “thirstier” and starts to pull out moisture from vegetation and trees. And then you have drier and more combustible stuff, thus more and more wildfires.

    Now the heat in the ocean is hitting a point where it’s radiating back out, that means a ton more moisture going into the atmosphere. And higher the humidity the more literal energy that air holds. And that means more frequent and stronger tornados, hurricanes, storms, wetter winters in some areas and colder drier in others. And so on.

    Water vapour does have an impact, but it’s a condensing agent. The more of it in the atmosphere, the more it wants to condense and get out of the atmosphere. It naturally has a equalizing effect, which is why earth’s temps have been extremely stable over long periods. The rate of warming in the past 50 years cannot be explained by water vapour, there had to be an ongoing catalyst to force the temps higher and higher, otherwise the water vapour would condense faster and equalize.

    The catalyst is CO2.