AI Summarizers Produce Dense Outputs With Invented Compound Terms
A small X conversation around Sol and Fable has turned into a familiar AI-user complaint: some users say the models are getting harder to read, even for people who enjoy the style.
Entities: Andrew Carr, Ashwinee Panda
In a post on X, Andrew Carr said he now finds himself asking Sol to define "multiple words per session," calling that "definitely an odd feeling." Carr was responding to an earlier post from Panda Ashwinee, who argued that Fable and Sol summaries are becoming "absurdly information-dense," with "1 in every 5 words" turning into a novel compound term such as "rate-adjacent."
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Yes, I find myself asking sol to define multiple words per session now. Definitely an odd feeling
the fable / sol summaries are getting more and more absurdly information-dense 1 in every 5 words is a novel compound word (ex: “rate-adjacent”) which itself is the model’s invented stand-in for a metaconcept that it developed that i need to interrogate it about how to fix this?
@tszzl true
You all probably thought that when you were tested for “reading comprehension” in school & when English teachers made you interpret Shakespeare’s metaphors & all that that it wasn’t preparation for real life, didn’t you?
the fable / sol summaries are getting more and more absurdly information-dense 1 in every 5 words is a novel compound word (ex: “rate-adjacent”) which itself is the model’s invented stand-in for a metaconcept that it developed that i need to interrogate it about how to fix this?
The 21st Century Renaissance Person (nonhuman)
new models strongly reminiscent of reading nick land or paglia or any other sort of philosopher on 200mg adderall if they were also Linux sysadmins https://twitter.com/pandaashwinee/status/2078296458122645635
the fable / sol summaries are getting more and more absurdly information-dense 1 in every 5 words is a novel compound word (ex: “rate-adjacent”) which itself is the model’s invented stand-in for a metaconcept that it developed that i need to interrogate it about how to fix this?
new models strongly reminiscent of reading nick land or paglia or any other sort of philosopher on 200mg adderall if they were also Linux sysadmins
the fable / sol summaries are getting more and more absurdly information-dense 1 in every 5 words is a novel compound word (ex: “rate-adjacent”) which itself is the model’s invented stand-in for a metaconcept that it developed that i need to interrogate it about how to fix this?