this post was submitted on 03 Feb 2025
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.

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Need to let loose a primal scream without collecting footnotes first? Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid: Welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.

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If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high.

The post Xitter web has spawned soo many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be)

Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them.

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[–] khalid_salad@awful.systems 16 points 5 hours ago* (last edited 5 hours ago) (1 children)

I hate LLMs so much. Now, every time I read student writing, I have to wonder if it's "normal overwrought" or "LLM bullshit." You can make educated guesses, but the reasoning behind this is really no better than what the LLM does with tokens (on top of any internalized biases I have), so of course I don't say anything (unless there is a guaranteed giveaway, like "as a language model").

No one describes their algorithm as "efficiently doing [intermediate step]" unless you're describing it to a general, non-technical audience


what a coincidence


and yet it keeps appearing in my students' writing. It's exhausting.

Edit: I really can't overemphasize how exhausting it is. Students will send you a direct message in MS Teams where they obviously used an LLM. We used to get

my algorithm checks if an array is already sorted by going through it one by one and seeing if every element is smaller than the next element

which is non-technical and could use a pass, but is succinct, clear, and correct. Now, we get^1^

In order to determine if an array is sorted, we must first iterate through the array. In order to iterate through the array, we create a looping variable i initialized to 0. At each step of the loop, we check if i is less than n - 1. If so, we then check if the element at index i is less than or equal to the element at index i + 1. If not, we output False. Otherwise, we increment i and repeat. If the loop finishes successfully, we output True.

and I'm fucking tired. Like, use your own fucking voice, please! I want to hear your voice in your writing. PLEASE.


1: Made up the example out of whole-cloth because I haven't determined if there are any LLMs I can use ethically. It gets the point across, but I suspect it's only half the length of what ChatGPT would output.

[–] mountainriver@awful.systems 7 points 1 hour ago (1 children)

My sympathies.

Read somewhere that the practice of defending one's thesis was established because buying a thesis was such an established practice. Scaling that up for every single text is of course utterly impractical.

I had a recent conversation with someone who was convinced that machines learn when they regurgitate text, because "that is what humans do". My counterargument was that if regurgitation is learning then every student who crammed, regurgitated and forgot, must have learnt much more than anyone thought. I didn't get any reply, so I must assume that by reading my reply and creating a version of it in their head they immediately understood the errors of their ways.

[–] Soyweiser@awful.systems 2 points 53 minutes ago

I had a recent conversation with someone who was convinced that machines learn when they regurgitate text, because “that is what humans do”.

But we know the tech behind these models right? They dont change their weights when they produce output right? You could have a discussion if updating the values is learning, but it doesnt even do that right? (Feeding the questions back into the dataset used to train them is a different mechanic)