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Cake day: July 13th, 2023

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  • JollyG@lemmy.worldtoMicroblog Memes@lemmy.worldBro
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    20 days ago

    The day to day reality for me at least is that the new hyped up llms are largely useless for work and in some cases actually detriments. Some people at work use them a lot, but the heavy users tend to be people who were bad at their jobs, or at least bad at the communication aspect of their jobs. They were bad at communicating before and now, with the help of chat gpt, they are still bad at communicating, except they have gotten weirdly obstinate about their crappy work output.

    Other folks I know have tried to use them to learn new things but gave up on them when they kept getting corrected by subject matter experts.

    I played around with them for code generation but did not find it any faster than just writing and debugging my own code.


  • One of my big beefs with ML/AL is that these tools can be used to wrap bad ideas in what I will call “Machine legitimacy”. Which is another way of saying that there are many cases where these models are built up around a bunch of unrealistic assumptions, or trained on data that is not actually generalizable to the applied situation but will still spit out a value. That value becomes the truth because it came from some automated process. People cant critically interrogate it because the bad assumptions are hidden behind automation.



  • I often have the opposite experience when looking for technical documentation about programming libraries. For example I will be dealing with a particular bug and will google the library name plus some descriptive terms related to the bug, and I get back general information about the library. In those cases, it seems google often ignores the supplemental information and focuses only on the library name as If I were looking for general information.

    What is worse is that the top results are always blog-spam companies that just seem to be copying the documentation pages of whatever language or library I was looking at.





  • Unhelpful Linux User Archetypes:

    The Configurator: All problems are configuration problems. The fact that a user has a problem means they configured their machine incorrectly. All help requests are an opportunity to lecture others about configuration files.

    The lumberjack: Insists on logs no matter how simple or basic the question. “How do I get the working directory in the terminal?” -Sorry, I can’t help you unless you post your log. “What does the -r flag do?” -You need to post a log for me to answer that question. “Is there a way to make this service start at boot?” -We have no way of knowing unless you post your log. When a user posts their log, the lumberjack’s work is done. No need to reply to the thread any further.

    The Anacdata Troubleshooter: Failed to develop a theory of mind during childhood. Thinks their machine is representative of all machines. If they don’t have an issue, the user is lying about the issue.

    The Jargon Master: Uses as much jargon as possible in forum posts. If a user doesn’t know each and every term, that’s on them. If you did not commit to mastering every aspect of a piece of software before asking for help, were you even trying to solve the problem?

    The Hobby Horse Jockey: All problems are caused by whatever thing the contributor does not like. Graphics driver issue? Snaps. Computer won’t post? Obviously, Snaps. Machine getting too hot? Snaps. Command ‘flatpack’ not found? Oh you better believe snaps did that.

    The Pedantfile: Gets mad because everyone asks their questions the wrong way. Writes a message letting the user know they asked their question wrong. Message usually appears within a minute or two of someone providing a solution to the user.


  • Carnap’s statement is false, humans find all sorts of non-verifiable beliefs and experiences cognitively meaningful.

    I think Carnap’s conception of “meaningful” differs from the “cognitively meaningful” term you use here. Which from context, I gather means something like “personally fulfilling” or “socially important”. Carnap along with the other logical positivists were trying to develop a philosophy of science that didn’t depend on metaphysical claims and was ultimately grounded in empiricism. Carnap’s use of the term “meaningful” is more akin to saying that a concept can be connected to the empirical world. Meaningless claims, then are the opposite, they cannot be connected to the empirical world.

    Imagine for example that you and a friend were the victims of an attempted mugging turned violent, but to you and the mugger’s surprise you discovered that you were impervious to attacks with lead pipes and laser guns. As you are searching for an explanation for these newfound powers your friend suggests that the reason you have these powers is that you both, without your knowledge, are wearing magical rings that give you super powers, but the rings are invisible and cannot be felt by the wearers. Carnap would say that is meaningless because the ring explanation cannot be connected to the empirical world. The explanation requires an imperceptible entity.

    Trying to draw a bright line between empiricism and metaphysics is not scientism, in the pejorative sense that you mean here. I think to qualify as such Carnap would need to dismiss all meaningless (in Carnap’s sense of the term) propositions as totally lacking in personal value. I don’t know his writing well enough to say whether or not he holds that view, ( a brief reading of his entry in the Stanford encyclopedia of philosophy suggests, no he did not hold those views) but I don’t think that conclusion is a particularly charitable reading of Carnap’s criticisms of metaphysics.


  • Thanks for reaffirming my bias that new cars suck.

    I am really concerned the next car I need to buy, which is probably 20 years off, is going to be this trend cranked to 11. With software and hardware I can find alternatives and hack my way around the “you paid for it, but we own it and can do whatever we want to it” mentality that tech companies push, but cars seem like a whole different world when it comes to the “you paid for it, but we own it” mentality.


  • There could be a “validator” you choose that has to sign off on the blockchain the seller’s claims are true as a condition to finalize the sale. Similar to buyers (in the US at least) selecting and paying for a home inspector when buying a property.

    In other words, for blockchain technology to be applied to sales validation, there needs to be a central authority who everybody trusts, that can validate transactions.