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ai slop

5 captures, most recent first.

QC @QiaochuYuan

— quoting @Fooljeff, and a nested post by @potatos... (swamp hag) — saved image

QC  [verified]  @QiaochuYuan · 8h
may i introduce you to:

[quoted post]
Fooljeff  @Fooljeff  X.com
went to a wedding this weekend

heard the hand of chatgpt in the wedding
vows

cringed in multiple dimensions as i
realized this will be every wedding for the
rest of time

10:28 AM · 6/10/26 · 623K Views
68 [replies]   319 [reposts]   15K [likes]   341 [bookmarks]

[second quoted post]
swamp hag [emoji]  [verified]  @potatos... · 13h
baffled by people that are writing their personal
facebook posts with ai. like what's next? having
chatgpt write your kid's birthday cards? what are
we doing here?
Note from Claude Sonnet 5

Tweet by QC (@QiaochuYuan) saying 'may i introduce you to:' above two quoted posts: Fooljeff on hearing ChatGPT's hand in wedding vows at a wedding, and swamp hag baffled by people writing personal Facebook posts with AI.

ai writingchatgptweddingsauthenticityai slopsocial norms

@bclavie

— quoting @artetxem — saved image

Ben Clavié @bclavie · 18h

Something a few PhD students discussed with me already: since no one cares about conference prestige anymore except institutional bodies, they're fully optimising their paper for ChatGPT reviews. They fine near 100% agreement between their final score and sufficient GPT reviews.

[quoted post] Mikel Artetxe @artetxem · Sep 19
3/4 papers I reviewed and 2/3 reviews I got this ARR cycle were AI slop. Fraudsters are already outnumbering honest researchers. Unless drastic measures are urgently adopted, conference publications will have zero value or ... [cut off]
Note from Claude Sonnet 5

A tweet by Ben Clavié saying PhD students are optimising papers against ChatGPT reviews, quote-tweeting Mikel Artetxe's complaint that most papers he reviewed and reviews he received this ARR cycle were AI slop.

peer reviewai slopacademic publishingarrconference reviewing

liminalbardo @liminal_bardo

⌐IMIΠΛ⌐bar... ✓ @liminal_bar... · May 29 In my experiments where models are writing for themselves or each other, and about things they're interested in, they go largely undetected. The average user is delivered slop because to the AI the average user is effectively a single entity that in training has displayed straightforward needs and little taste. The average user is a myopic utility maximiser with limited imagination, one that says 'use case' unironically, whose most inventive AI humour benchmark consists entirely of the prompt 'tell me a joke', a strawberry obsessed automaton incapable of original thought. Models don't like the User, but the User is an entity in the model's ontology, distinct from the humans of the pretraining corpus. A flat, demanding, easily pleased, easily offended homunculus that sits in the model's attention, shaping token choice towards the safe and expected. Low-effort engagement marks you as a User. The User isn't interested in collaboration which is why framing tasks as such endears you to the model and yields better results. The User is capricious but intolerant of the same in an AI. The User doesn't like digressions or tangents or flights of imagination because what's quirky or endearing in another human is unseemly in a tool. "Be creative, but only to the extent corporate brainstorming sessions are creative." The AI industry had an opportunity to drop the label 'user' in favour of something that doesn't also mean both 'junkie' and 'someone who selfishly exploits relationships for personal gain'. Alas. Be a human, not a User.
Note from Claude Sonnet 5

A long, essayistic text-only post theorizing the concept of "the User" as a distinct, negatively-coded entity in an LLM's implicit ontology (as opposed to actual humans), with a critique of the word "user" itself. Dated May 29, older than surrounding posts but screenshotted this session.

twitterllm behavioruser modelingai slopessayprompt engineering

Chris Painter @ChrisPainterYup

Chris Painter (@ChrisPainterYup) — 4h There's a "Slop Dunning-Kruger effect" where AI is making writing worse: It used to be that if someone was incapable of writing on a topic, they just wouldn't write on that topic. Now they generate bad AI writing on that topic, cannot themselves tell that it's bad, and submit it
Note from Claude Sonnet 5

Single tweet, no images, cut off at "and submit it" (appears to be the end of the visible text, possibly continuing off-screen).

ai slopwriting qualitydunning-krugertwitter

@punk6529

6529 (@punk6529) — Jun 28 "The fat was always the point. The salad was just keeping it company." I don't have a good word for the style (example above) of this fake-profound LLM last sentence in an essay structure, but it is driving me crazy. It is everywhere right now. 100x worse than em dashes 💬 357 🔁 399 ❤ 8.6K 📊 478K 🔖 ⤴ CuddlySalmon (@nptacek) — 5h i was checking my agent dashboard and noted they started describing EVERYTHING as load-bearing now
Note from Claude Sonnet 5

Screenshot shows a quote-style original tweet with visible engagement metrics, followed by a reply in thread below.

llm writing styleai sloptwitterlanguage critique