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Joined 1 year ago
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Cake day: June 8th, 2023

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  • Most of these companies are just arguing that they shouldn’t have to license the works they’re using because that would be hard and inconvenient, which isn’t terribly compelling to me. But Adobe actually has a novel take I hadn’t heard before: they equate AI development to reverse engineering software, which also involves copying things you don’t own in order to create a compatible thing you do own. They even cited a related legal case, which is unusual in this pile of sour grapes. I don’t know that I’m convinced by Adobe’s argument, I still think the artists should have a say in whether their works go into an AI and a chance to get paid for it, but it’s the first argument I’ve seen for a long while that’s actually given me something to think about.


  • Performance is not great, honestly. On my 3090 I had to sink settings to medium to get around 45 - 60 fps. However it does look nice, and even 30 fps is perfectly playable for a relaxed sim where my reaction speed doesn’t matter.

    Playability is fantastic once I got the settings lowered. Love the changes to water and power, roundabouts are neat, roads are easier to manage, and the progression system has been surprisingly engaging. I really like the game and I’ll definitely keep playing while they work on optimizing it.






  • I use the term “autocomplete on steroids” because it gets across a vaguely accurate idea of what an LLM is and how it works to people who are thinking of it like sci-fi movie AI. Sorry if it came across that was my whole reason for considering them not intelligent.

    LLMs do seem to pass a lot of intelligence tests we’ve come up with. Talking with one for the first time is a really uncanny experience, it’s a totally different thing than the old voice assistants. But they also consistently fail at tasks that would indicate an understanding of a topic. They produce good looking equations, but the math underneath doesn’t make sense. They hallucinate facts that don’t fit with the rest of what they themselves are saying, but look similar to the way right answers are written and defended. They produce really convincing responses, but when they fail they betray some really basic failures to understand what they’re saying.

    I feel that LLMs are brute-forcing the tests people designed to measure intelligence. They can pass the bar exam, but they also contain thousands of successful bar exams to consult and millions of bits of text to glue those answers together with. But if you ask the LLM to actually do the job of a lawyer, they start producing all kinds of garbage that sounds good but doesn’t stand up to scrutiny when someone looks up the hallucinated case references.



  • Part of the problem is that AI research likes to use terminology that sounds like what people do, when that’s not what the AI actually does.

    Large language models are not intelligent in any sense. They are autocomplete on steroids. This is a computer program that was fed a book someone wrote, then mathematically tweaked to be able to guess the next word in a sentence in a way that resembles that book. That’s all it does. It does not think or learn in any sense we’d apply to a human.

    To me, LLMs sound like a massive plagiarism engine, and I think they should need to get a license from the authors whose works they used to make the LLM under whatever terms that author wants to give, just like a publisher needs to get permission to print a copy of the work. But copyright law has no easy “bright line” for what counts and what doesn’t. So the courts will have to decide whether what the AI “creates” is similar enough to the original works to count as a violation, or if the AI and its results are transformative enough to count as something new.