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Joined 11 months ago
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Cake day: June 29th, 2024

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  • That’s a great question! Let’s go over the common factors which can typically be used to differentiate humans from AI:

    🧠 Hallucination
    Both humans and AI can have gaps in their knowledge, but a key difference between how a person and an LLM responds can be determined by paying close attention to their answers.

    If a person doesn’t know the answer to something, they will typically let you know.
    But if an AI doesn’t know the answer, they will typically fabricate false answers as they are typically programmed to always return an informational response.

    ✍️ Writing style
    People typically each have a unique writing style, which can be used to differentiate and identify them.

    For example, somebody may frequently make the same grammatical errors across all of their messages.
    Whereas an AI is based on token frequency sampling, and is therefore more likely to have correct grammar.

    ❌ Explicit material
    As an AI assistant, I am designed to provide factual information in a safe, legal, and inclusive manner. Speaking about explicit or unethical content could create an uncomfortable or uninclusive atmosphere, which would go against my guidelines.

    A human on the other hand, would be free to make remarks such as “cum on my face daddy, I want your sweet juice to fill my pores.” which would be highly inappropriate for the given context.

    🌐 Cultural differences
    People from specific cultures may be able to detect the presence of an AI based on its lack of culture-specific language.
    For example, an AI pretending to be Australian will likely draw suspicion amongst Australians, due to the lack of the word ‘cunt’ in every sentence.

    💧Instruction leaks
    If a message contains wording which indicates the sender is working under instruction or guidance, it could indicate that they are an AI.
    However, be wary of predominantly human traits like sarcasm, as it is also possible that the commenter is a human pretending to be an AI.

    🎁 Wrapping up
    While these signs alone may not be enough to determine if you are speaking with a human or an AI, they may provide valuable tools in your investigative toolkit.
    Resolving confusion by authenticating Personally Identifiable Information is another great step to ensuring the authenticity of the person you’re speaking with.

    Would you like me to draft a web form for users to submit their PII during registration?



  • I liked the visuals / cinematography of the 2021 version, but I haven’t gotten around to watching part 2 because I’m not really invested in the story.
    It felt like a lore dump that didn’t really build much connection to the characters, followed by a bit of action and some heavy sequel-baiting.


  • Agreed. I don’t understand the people who claim it’s easier to work with, or better for prototyping.

    Automatic typing exists. Type casting exists and is even handled automatically in some scenarios. Languages like java and C# can manage memory for you, and have the same portability and runtime requirement as python.

    Prototyping in python and then moving to another language later makes no sense to me at all.


  • I think it’s context dependent.

    The field is called mathematics, but I see math as a short form of mathematic or mathematical.

    Calling something a ‘math’ question or a ‘maths’ question both make sense. But something like “I hate math” sounds like you hate a singular mathematic, which sounds weirder to me than “I hate maths” (the field).


  • If you’ve ever been in a position where you weren’t able to relicense an entire project as GPL, or were developing for a platform that doesn’t allow LGPL3 libraries to be used because users can’t replace the LGPL3-licensed binary (ios, android, game consoles, proprietary hardware), which I’m sure many people with programming careers have experienced at some point, you’ll quickly find that any copyleft-licensed library is effectively useless to you.
    I would wager that those who have had to deal with that before are much less likely to use a copyleft license for future projects.

    There’s also a lot of small projects where the developer doesn’t care about licensing. They just want the code out there, and for anyone to be able to use it, as long as they get some recognition for making it.

    Most people aren’t lawyers, and don’t care enough to read all the different licenses and compare them all. They pick the simplest one that ensures anyone can do anything with it, and they aren’t held liable for anything.

    Apache is too full of legalese for most people to bother reading. BSD has different versions which make it more complicated to pick which one you want. MIT has much less confusion about versions (there are different versions, but most people associate ‘MIT license’ with the most common one).

    And then the existing popularity helps lock in a license choice once you’ve picked a license category. “If MIT is good enough for ‘x’, it’s good enough for me.”