8h ago

Substack analysis maps 1236 n-grams in Granta prize-winning story and traces 437 rare phrases plus 115 unique segments to Archive of Our Own fanfiction

Interactive tool shows story assembled from memorized online passages.

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Original post
OPTuhin Chakrabarty#1050Tuhin Chakrabarty@TUHINCHAKR

LLMs are not conscious. They do not have a perfect sense of embodiment. They are autoregressive models that generate text by sampling, more or less, from a very large pile of things other people wrote. More details in this essay on Substack 👇 https://tuhinchakrabarty.substack.com/p/ai-slop-grantagate-and-bad-writing

7:22 AM · May 22, 2026 View on X
REPLYTuhin Chakrabarty#1050Tuhin Chakrabarty@TUHINCHAKR

@alexolegimas Thank you 🥹

Alex ImasAlex Imas@alexolegimas

This from @TuhinChakr is brilliant. That prize winning story from Granta? Turns out it's just a bunch of random whole phrases taken directly from existing text on the internet. Tool allows you to trace those n-grams directly to their source, which is mostly random fanfiction. https://tuhinchakrabarty.substack.com/p/ai-slop-grantagate-and-bad-writing

8:09 PM · May 22, 2026 · 11.6K Views
8:15 PM · May 22, 2026 · 995 Views
POSTAlex Imas#1777Alex Imas@ALEXOLEGIMAS

This from @TuhinChakr is brilliant. That prize winning story from Granta? Turns out it's just a bunch of random whole phrases taken directly from existing text on the internet. Tool allows you to trace those n-grams directly to their source, which is mostly random fanfiction.

substack.com
/p/ai-slop-grantagate-and-bad-writing
8:09 PM · May 22, 2026 · 11.6K Views