I propose we call AI-generated spam – content that is both spam and slop at the same time – "slom"
@simonw
-
Spam and AI-Generated Slop: Why Proximity Matters
By
–
For me it's the closeness to "spam" that makes it work: spam and slop just fit so well together
-

Slop vs Botshit: Understanding AI-Generated Content Quality
By
–
Notes on the relationship between "slop" and "botshit" – I think botshit is effectively a subset of slop
-
Defining Slop: Unwanted AI-Generated Content Problem
By
–
I think the defining feature of slop is that it's unwanted (like spam) – it could be entirely hallucination free and useful while still being an annoyance to users who didn't actively want to engage with artificially generated content in that particular moment
-

Understanding Slop vs Botshit: Unreliable AI-Generated Content
By
–
That's a really great deck Helped me understand the difference between "slop" and "botshit" too – it looks like botshit is the subset of slop in which people use untrustworthy generated content to communicate and make decisions
-
Code Predictability Versus Prose Writing Principles
By
–
In writing code the most obvious and predictable thing is usually what you want When writing actual prose it's more or less the opposite!
-
Personal AI Tools: Why Users Should Control Their Own Decisions
By
–
… and if you're using LLMs for things like summarization, why not leave me to make my own decision about how I use those tools? (That one's going to hold more weight as personal use of AI tools gets more widely distributed)
-
Why AI-Generated Content Needs Differentiation to Avoid Being Slop
By
–
Thinking about this more, one of the things that makes slop "slop" is that it's undifferentiated Why should I come to your site for AI generated content that could have come from anyone with an OpenAI API key?
-
Defining Adversarial Attack Terminology in AI Systems
By
–
We definitely need a good word for that! "Adversarial" is already used for both prompt injection style attacks but also those tricks where you convince an image recognition model it's seeing something it isn't, eg https://
deepmind.google/discover/blog/
images-altered-to-trick-machine-vision-can-influence-humans-too/
…
