A Blessing of Wickedness

I know what I am doing is wrong

I know there is an activity that looks similar that is not wrong

They will say “don’t you want them to go to the grave without debt”, they will try to guilt you, they will take advantage of your vulnerability.

Source: when my father died, he had some credit cards that my mom wasn’t on that she had no access to. The companies contacted her while she was sorting through the bills and getting a handle on how to run the house alone, badgering her with his credit card debt.

She wasn’t liable for any of it, but if she had ever agreed to pay before finding out that she didn’t need to, she would have been considered to have taken on his debt and would have HAD to pay it. It’s slimy, it’s predatory, and it’s entirely legal for them to do this.

Ok, I'm not an estate lawyer disclaimer blah blah locations all have different laws blah blah BUT a couple months back I started to get overly worried I will likely die still owing money some day, with a negative "net worth" whateverwhatever. I only care that my niblings could get harassed about bills of mine, and I would HATE THAT.

What I found by doing a bunch of research, talking to a family lawyer I know, and a wealth planner, is accurate to what's up thread. Those who I am a debtor w/ can/will take what they can from "my estate." They can/will try to chase down payments.

But when said estate (lol) is all gone, that's it. They can TRY to contact my niblings about bills, but basically they'll just need to be like "Auntie who????" and/or ignore it fully and not pay a cent and they can't be held responsible.

refseek.com

www.worldcat.org/

link.springer.com

http://bioline.org.br/

repec.org

science.gov

This was back when I I used to dress slightly more masculinely (if you can call a button-up shirt paired with skin-tight jeans and heeled booties masculine lol).

cause like. apart from the (potential) exception of writing code, there is not really anything useful that a Large Language Model can do.

it imitates patterns in the text that it takes in

that's fundamentally how it works

Yes, haha funny, the AI is bamboozled by spelling, but seriously: I asked Google the same question 5 different times just now, and not only did I get 5 incorrect answers, I got 5 completely different incorrect answers.

The fact that they're different every time demonstrates just how much of an LLM's output is up to random chance. This is how LLMs imitate human language: each stage of constructing the text has built-in randomness, just like how human language has variation and flexibility.

This is my problem with using these things in the workplace. Like, imagine you're using an LLM to fill out a report of an accident that happened, or to write dietary recommendations for a patient, or to give feedback on a paper a student wrote...really anything you can think of.

Even if the LLM-generated text doesn't say anything technically flat-out wrong, the words and details are still randomized instead of being chosen by you for an actual reason.

like, let me put it this way, you can use a LLM to write a recommendation letter for a student because it looks like you wrote it. You're benefiting from the fact that written text, up until recently, necessarily had a person that wrote it.