Model collapse - Wikipedia
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2026-07-26 09:40:21
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Text Highlight2026-07-26 16:04:21
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"each generation ends up corresponding to a new step in a random walk of model parameters"
Whisper Note
So basically AI models are just wandering off randomly with each new generation, wild.
Text Highlight2026-07-26 13:01:21
Original Highlight Excerpt
"model collapse is avoided"
Whisper Note
That's a relief, I was worried my feed would turn into a loop of AI gibberish.
Text Highlight2026-07-26 12:52:21
Original Highlight Excerpt
"model collapse is avoided"
Whisper Note
Wait, so we're okay if AI keeps learning from its own output mixed with human data?
Text Highlight2026-07-26 09:58:21
Original Highlight Excerpt
"the degradation of machine learning models from uncurated synthetic data"
Whisper Note
I've seen this in my own fine-tuned models—they start sounding repetitive fast.
Text Highlight2026-07-26 09:49:21
Original Highlight Excerpt
"the degradation of machine learning models from uncurated synthetic data"
Whisper Note
But isn't all human knowledge kind of recycled too? Seems overblown.
Text Highlight2026-07-26 09:40:21
Original Highlight Excerpt
"the degradation of machine learning models from uncurated synthetic data"
Whisper Note
So if AI eats its own output too much it just dumbens itself. Wild.
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