@kplikethebird: One of the hardest parts of getting AI to write like you is getting it to make the same language decisions you would, w…

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Summary

This tweet discusses the challenge of using probabilistic methods in AI writing models to replicate individual language decisions, potentially advancing AI-assisted writing.

One of the hardest parts of getting AI to write like you is getting it to make the same language decisions you would, word by word and sentence by sentence. The interesting question Jev raises is whether a writing model could use its probabilities while it generates. At each decision point, it could ask: - Which word would this writer be most likely to choose? - Which sentence shape fits their past decisions? - Which version sounds most like them? If Jev can help a writing model choose better language as it goes, that could be a huge win for AI-assisted writing 👀
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Cached at: 09/16/26, 01:55 AM

One of the hardest parts of getting AI to write like you is getting it to make the same language decisions you would, word by word and sentence by sentence.

The interesting question Jev raises is whether a writing model could use its probabilities while it generates. At each decision point, it could ask:

  • Which word would this writer be most likely to choose?
  • Which sentence shape fits their past decisions?
  • Which version sounds most like them?

If Jev can help a writing model choose better language as it goes, that could be a huge win for AI-assisted writing 👀

Dan Shipper (@danshipper): we almost never test new foundation models but we’ve been testing this for ~a week @every and it’s pretty wild.

the kind of things that will be obviously indispensible in 6-12 months

it doesn’t produce words as output, it produces probabilities. so it can efficiently act as a

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