from the folks who brought you

we’ve trained a model to regurgitate 19th century pseudoscience

the field of computer science presents: How to destroy a public good by skipping all the required reading in your liberal arts courses

my face to your foot style

Glad to see.

Baldur Bjarnason has a piece from July 2023 called The LLMentalist Effect: how chat-based Large Language Models replicate the mechanisms of a psychic’s con^[1] that you might appreciate, if you haven’t read it yet. :)

yeah the trick is to already know you’re an idiot

after fedora announced that ai contributions are cool, this is really refreshing

The lost art of testing your websites.

i run with javascript disabled by default, and it’s actually refreshing when a website at least displays “this shit requires javascript lol” instead of just not working

the modern web sucks, let’s all train ravens like asoiaf

it’s democratic if i couldn’t do it yesterday but i can do it today, even though it’s not the same in any meaningful way

edit: in all seriousness, it’s disgusting the way they are pretending there is some noble intention behind any of this.

i skimmed and it caused psychic damage

would not encourage

thank you for the suggestion, this is good stuff.

oh fuck, i didn’t think of that! thank you for the idea 💖

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i’m trying to sell mine now

but also i don’t have any other computers and probably can’t afford anything

time for me to learn to use a pencil

it sounds like you’ve only used the llm with the anus logo

have you tried this other llm^[1]?

“blask” slaps idc what anyone says

this comment:

Unless you’ve only ever used ChatGPT, you will know that LLM-produced code is not the result of a single prompt, not even a conversation, but rather a workflow that often goes as such:

• Discuss a problem with the LLM. The LLM autonomously reads large parts of the repository you’re working in, during the discussion.
• Ask it to write a plan. Edit the plan. Ask it about the edited plan. Edit it some more.
• Repeatedly restart the LLM, asking it to code different parts of the plan. Debug the results. Write some code yourself. Create, rebase, or otherwise play around with the repository; keep multiple branches of potential code.
• Go back and edit the original plan, now that you know what might work. Port some unit tests back in time, sometimes.
• Repeat until done.

is so stupid

100% certain this dork has the wikipedia page for logical fallacies open 24/7

this is cool, but honestly, after the red hat/fedora announcement that they’ll allow slop contributions, i may just try and use my phone for everything

android 16 QPR1 gets a proper desktop mode and it should get ported to grapheneos soon enough

this is just copium, of course. thank you for sharing the link to the mnt reform. <3

just once i want to buy a computery thing and not have it end up being fasctech

i was so excited about this laptop 😭

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