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
