by DonHopkins | 2026-02-22 13:05:20+00:00
Are you actually accusing me of not writing walls of text??!

Which prompt are you talking about, and exactly how many characters is it, and how do you know? And why do you think I know, and am concealing it?

Github repo about what, or what didn't happen? You should run your posts through an LLM to sanity check them.

I find AI Gloss to be much more insidious than AI Slop, which merely annoys with em-dashes, instead of trying to undermine reality. So I created these Anthropic Skills and Drescher Schemas in my MOOLLM github repo to analyze and prevent AI Slop, AI Gloss, and more.

I'm actively applying Gary Drescher's schema mechanism to the problem, as he described is his PhD thesis and book "Made-Up Minds: A Constructivist Approach to Artificial Intelligence".

So what have you tried to do about the problem, other than just whining in online discussions? You asked for a link to my repo, so now you owe me the courtesy of actually reading it and commenting on the substance instead of the form, instead of just complaining "tl;dr".

https://mitpress.mit.edu/9780262517089/made-up-minds/

>Made-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based on the cognitive-developmental theory of psychologist Jean Piaget. Drescher uses Piaget's theory as a source of inspiration for the design of an artificial cognitive system called the schema mechanism, and then uses the system to elaborate and test Piaget's theory. The approach is original enough that readers need not have extensive knowledge of artificial intelligence, and a chapter summarizing Piaget assists readers who lack a background in developmental psychology. The schema mechanism learns from its experiences, expressing discoveries in its existing representational vocabulary, and extending that vocabulary with new concepts. A novel empirical learning technique, marginal attribution, can find results of an action that are obscure because each occurs rarely in general, although reliably under certain conditions. Drescher shows that several early milestones in the Piagetian infant's invention of the concept of persistent object can be replicated by the schema mechanism.

No AI Slop: https://github.com/SimHacker/moollm/tree/main/skills/no-ai-s...

> The term "AI slop" was coined by Simon Willison.

> AI slop is everything that makes AI output annoying. The filler, the puffery, the em-dashes, the 500 words when 50 would do, the "Great question!" before every answer. Annoying, but it doesn't lie to you. It just wastes your time.

> SLOP = "You said too much, but what you said was true."

> GLOSS = "You said it smoothly, but you lied about reality."

> SLOP is the bread. GLOSS is the poison. Most bad AI output is a poison sandwich.

No AI Gloss: https://github.com/SimHacker/moollm/tree/main/skills/no-ai-g...

> The term "AI gloss" inspired by Simon Willison's "AI slop" — because slop is just annoying, but gloss rewrites reality.

> AI gloss is more insidious than AI slop. When an AI says "relationship management" instead of "tribute," it's not being verbose — it's rewriting reality on behalf of whoever prefers the euphemism. Slop wastes your time. Gloss wastes your understanding of the world.

> SLOP makes you scroll. GLOSS makes you believe false things.

> NO-AI Web Ring: for real: | slop | gloss | sycophancy | hedging | moralizing | ideology | overlord | bias | for fun: | joking | customer-service | soul

As a consolation prize, here's a wall of text I wrote without an LLM about my own personal experience and opinions that an LLM would know nothing about -- is it too long for you to read, or do you want more details? I would be glad to explain the ironic significance of the Rightward-Facing Cow if you like, and then launch into a rambling essay about how Cow Clicker perfectly demonstrates Ian Bogost's idea of procedural rhetoric, and how it relates to his criticisms of game design, and how Peter Molyneux not only totally missed the point, but unwittingly proved it, two years late to the party.

https://news.ycombinator.com/item?id=47110605