Multi-lifer @dream-in-hearts - Tumblr Blog

I.N :: RUN IT

#fuuuuck #i.n #jeongin #yang jeongin #stray kids #skz #kpop

Becoming your own muse makes you magnetic. It's the secret to seducing your dream clients, potential business partners, lovers, spouses, friends, family, and anyone who has the honor to grace your presence. People sense individuals who exude confidence and have ignited the fire inside that drives them. Smile at the mirror and recognize the perfection in your reflection. Never let a negative person, undesirable salary, relationship status, or circumstances dim your light. Only you can define your worth. Trust your intuition. You know deep down what's truly meant for you

stuckinapril

depsidase

unicorncryptid

"my life isn't a crime, I'm not one of those people -"

"you sure? new parameters for Those People just dropped. check again."

lizardywizard

And if you truly cannot imagine this, if you're convinced that it will never happen to you, consider this one thing.

Would you want scammers to know the state of your loved one's dementia?

Oh. Shit.

I'm dead convinced that a significant portion of AI companies' revenue is spent paying off every major media outlet NOT to point out all the obvious problems with it + creating legions of bots and bullshit articles online to hype AI up

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

if a Large Language Model can produce text that looks like something a human created, that doesn't mean it can do a human's job, it means that the paperwork/plan/document it's being used to create no longer fucking means anything

headspace-hotel

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.

Using an LLM for these tasks means it doesn't matter to you exactly what you write, what words you use, what details you include, or what meaning it has, just that it looks like you wrote something.

sophiepop

I’ll also point out that it’s also not good for writing code for the exact same reasons. Part of working on a codebase is working within established coding patterns and architectural decisions so that other people can easily navigate it. If every single module is written completely differently than, inevitably, when some human has to go in there and fix a bug it becomes much harder since every file is written completely different even if they handle the same problem-space. If one module is completely object oriented and uses class instantiation for everything and another that solves a similar problem is functional programming and relies entirely on pure functions then trying to figure out how they are supposed to work together is infinitely harder than just using one model.

headspace-hotel

I suspected this might be the case but truth be told I didn't know enough about coding to say either way.

#fuck ai