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Cake day: 2025年11月1日

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  • Part of language is about whether or not there is an ability to infer what is being talked about without specifically naming it.

    Because LLM’s have existed longer than the current technology of “AI LLM’s” we have to specify what we’re talking about. Which is why we use the term we do the same way you would possibly use the term Xerox or Hoover or Scotch tape.

    The difference is those terms I listed are a shorthand for other words that get the idea across without misinterpretation, but can easily be swapped for photocopy, vacuum, and cellophane tape.

    The technical term given to Generative AI LLM’s that differentiates it from the LLM’s that came before it is in fact Generative AI LLM’s and is shortened to Generative AI or Gen AI
    When you use the term slop, that can be linguistically confusing because to a non-native English speaker or a farmer slop has a different connotation altogether.

    This does not negate your argument, because I generally agree that we are attributing intelligence to this tech that it does not have and that this was an intentional choice by the Tech Bros who coined the term. I even agree that it adds further confusion because it’s being used for medical tech that doesn’t use an LLM at all.

    But if we’re going to change the name it needs to be a new term that represents what this tech actually is instead of using a more confusing/less specific slang that has other connotations.

    Doctors don’t call vaginas pussies.


  • Two things.

    1. When we aren’t specific in our arguments about this technology it allows people to blow past facts to suit personal interests and insist their viewpoint is correct because their perception trumps facts that aren’t clearly defined.

    2. Pretending the symantics of a term aren’t integral to the argument being made against it does us no favors when trying to educate people about the topic.

    The algorithm in my game analogy does what it does because the parameters for its instructions are finite and well thought out and well programmed to give the same result based on pre-defined instructions and parameters.

    LLM’s do that same thing, but with a metric fuck ton more parameters and fewer defining instructions.

    The reason they keep failing with guardrails is because they put too many unvetted parameters into the algorithm and concise and colloquial instructions in spoken language cannot account for all the variables included in those parameters.

    It’s a fatal design flaw but it’s important to people’s understanding that at the end of the day an LLM is a computer program and it does absolutely nothing unless it is instructed to do something. It won’t perform tasks of it’s own volition.

    Pretending that we can take shortcuts in linguistics to get people to understand the technical facts doesn’t really work here. I’m not saying we can’t call them slop/BS.

    Gullible people don’t become less gullible because you changed some words.


  • LLM’S do not represent and cannot be Artificially Sapient, and that I will grant you. I do not consider them intelligent because intelligence involves understand and the ability to understand context specifically.

    But that doesn’t mean LLM’S don’t fit some of the technical definitions of AI as seen in the other person’s comment who responded to you. We have been calling game NPC’s driving algorithms AI for decades. We have to accept that the term has multiple meanings and specify that what we mean when we say LLM’s lack intelligence and or sapience.



  • All of those things make sense when there aren’t constant headlines calling the regime you work for evil and pointing out daily all the bad things they are doing.

    That’s the difference between working for the government during presidents previous to Trump and working for the government now.

    There are a lot of things you can do working for the government that in years previous to the cancer currently running the place now could be seen as valuable and important.

    Doing research into the effects and safety of drugs, climate change research, allocating public funds to education and the park service etc. Testing food safety.

    Those jobs are still important despite the fact that the Cheeto in Chief is wrecking everything he can get his hands on.

    At the same time, there’s jobs that people do where it’s obvious that they are looking to reap benefits now and hoping those benefits will protect them in the future. Press Secretary, Political Advisor, Head of Homeland Security.

    There’s a line somewhere. Where you might be able to convince yourself that your work is important or meaningful or just plain not evil but you’re absolutely not telling people what you do for a living because you know that they won’t like it. People don’t face backlash for being garbage men or forensic investigators or Hazmat cleanup.

    The people building AI are getting a daily dose of the harms that AI causes. This industry popped up basically over night and this isn’t a slow burn kind of thing. Its been moving fast and breaking things and ruining lives all in the public eye.

    People also view their government as a sort of necessary evil. Psychologically that’s different than any random corp.

    I think I’m just saying that when you’re faced day in and day out with the harm your work is doing, to the point where you recognize and admit it’s doing harm, rather than being able to say “my work is insignificant and makes no difference”, then rhere has to be something else.