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Joined 1 year ago
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Cake day: July 2nd, 2023

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  • It’s hard to trust a firm that is explicitly being paid by the company they’re investigating. I could be convinced that they are actually a neutral third party and that their investigation was unbiased if they had a track record of finding fault with their clients a significant portion of the time. (I haven’t done the research to see if that’s the case.)

    However, you have to ask yourself - how many companies would choose to hire a firm which has that track record? Wouldn’t you pick one more likely to side with you?

    The way to restore credibility is to have an actually independent third party investigation. Firm chosen by the accuser, perhaps. Or maybe something like binding arbitration. Even better, a union that can fight for the employees on somewhat even footing with the company.



  • The fundamental difference is that the AI doesn’t know anything. It isn’t capable of understanding, it doesn’t learn in the same sense that humans learn. A LLM is a (complex!) digital machine that guesses the next most likely word based on essentially statistics, nothing more, nothing less.

    It doesn’t know what it’s saying, nor does it understand the subject matter, or what a human is, or what a hallucination is or why it has them. They are fundamentally incapable of even perceiving the problem, because they do not perceive anything aside from text in and text out.



  • I kind of disagree with you, in that when I think about the standalone meanings of the words in each phrase, I think they do say the same thing.

    The meaning of the words “You are welcome [to the help I gave you]” implies, to me, that there wasn’t actually anything to offer thanks over. You’re acknowledging their thanks, but telling them that they are welcome to take/use whatever it is you’re talking about. [EDIT: normally when someone tells me I’m welcome to something, I feel less compelled to ask and thank in the future. “You’re welcome to anything in the fridge”, for example.]

    It does not imply, to me, that I would appreciate them returning the favour. That might be implied meaning in the phrase, but it’s definitely not what those words mean by themselves.

    In any case, “You’re welcome”, “no problem”, “no worries”, etc… are all idioms that mean something different than what their individual words mean. The phrases as a whole carry a different meaning than the words themselves suggest.




  • I disagree with all your points. What kind of servos are you talking about?

    BLDC and AC servos maintain full torque at stop too, and have about 2-3× the torque of a stepper of similar size.

    The only way a stepper can rival a servo for precision is with a high degree of microstepping, which is far from guaranteed positioning with open loop control.

    I haven’t directly compared response time between steppers and servos, but I would be extremely surprised if there’s a significant enough difference to worry about. Most servo-controlled machines are larger and so are designed to accelerate slower than a printer, if that’s what you mean. This is intentional because inertia is a thing you have to worry about, not because the servo reacts to command changes slowly.

    There are valid reasons steppers are used on printers, but it’s not because they have superior performance.