What happens when AI models are trained on the output of earlier AI models — quality degrades generation by generation as hallucinations compound.
Model Collapse proceeds apace as AI eats its own output.
Which leads to model collapse, i.e. suffocating on their own farts. I'm a little sad that the competing term, Model Autophagy* Disease (MAD) didn't catch on. (Yes, there's research on this.) *Autophagy directly trans…
What happens when AI models are trained on the output of earlier AI models — quality degrades generation by generation as hallucinations compound. Increasingly real as the web fills with AI slop.
"Training on scraped 2025 Reddit is basically model collapse speedrun."
Model collapse is when AI models trained on AI-generated content gradually degrade in quality. Tech and AI-research term. Not concerning, just industry vocabulary about a real problem. If your kid uses it constantly, ask them where they first heard it, not to police their speech but to understand which online community they are in. Most slang of this kind moves through TikTok and group chats, so seeing it in your child's vocabulary just means they are plugged into normal teen internet culture.
Slang is read by different audiences for very different reasons. The For parents view re-explains the term in plain, non-judgemental language so a caregiver can understand what their child means without needing the surrounding subculture. The For English learners view focuses on register (when it's safe to use), formal alternatives, and common mistakes — what a textbook won't teach you.
Add your own interpretation of "model collapse".
The vocabulary of software engineers, AI researchers, and anyone living in a terminal or on GitHub — from LLM to MCP, CORS to vibe coding, agentic to enshittification.
See all Tech, Dev & AI slang on Slangora.
Browse all slang words starting with M.
When an AI model confidently generates false information — citing non-existent sources, inventing people, fabricating quotes. A core limitation of LLMs.
When an LLM's context window fills up with too much scattered history and it starts losing track of the actual task. The 1M-token era made this a common failure mode.
When an AI model seems to "get worse" over time from the user's perspective — usually after a safety tuning update. Whether it's real or imagined is debated constantly online.
An AI model trained on comprehensive data, enabling its application across various use cases such as chatbots and generative AI.
Some researchers and commentators on model collapse warn that the phenomenon could fundamentally threaten future generative AI development: As AI-generated data is shared on the Internet, it will inevitably end up in…
Model collapse is when AI models trained on AI-generated content gradually degrade in quality. Tech and AI-research term. Not concerning, just industry vocabulary about a real problem. If your kid uses it constantly, ask them where they first heard it, not to police their speech but to understand which online community they are in. Most slang of this kind moves through TikTok and group chats, so seeing it in your child's vocabulary just means they are plugged into normal teen internet culture.
Model collapse is an AI research term for the degradation that occurs when generative models are repeatedly trained on outputs from previous generations of models. Use in AI research and tech writing. Formal equivalent: "recursive training degradation." Common non-native mistake: confusing with model failure or model deprecation. Model collapse specifically refers to gradual quality loss across training generations. Read or listen to the word in context several times before trying it yourself; the right register is harder to learn than the dictionary meaning.
“Model Collapse proceeds apace as AI eats its own output.”
“Which leads to model collapse, i.e. suffocating on their own farts. I'm a little sad that the competing term, Model Autophagy* Disease (MAD) didn't catch on. (Yes, there's research on this.) *Autophagy directly translates as "self-eating" and is commonly used in biology.”
“Some researchers and commentators on model collapse warn that the phenomenon could fundamentally threaten future generative AI development: As AI-generated data is shared on the Internet, it will inevitably end up in future training datasets, which are often crawled from the Internet.”
“[Jump to content](https://en.wikipedia.org/wiki/Mode_collapse#bodyContent) From Wikipedia, the free encyclopedia Failure of a generative model to generate diverse samples Not to be confused with [Model collapse](https://en.wikipedia.org/wiki/Model_collapse "Model collapse").”
“It, quite obviously, doesn't stop the AI tech from advancing.<br>Now, you can write an entire research paper on why model collapse happens or fails to happen.”
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of output quality caused by training on synthetic data.
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