You have no idea how much personal work went behind it. You just suspect it was worded with a LLM.

I have been using embeddings for almost a decade and am well versed with their intricacies. I think this article has merit. The direction of the investigation and the conclusion are interesting, good to have people thinking about how many distinct concepts can be packed in our usual embedding dimension. Wondering how small can you make embedding before a model becomes noticeably worse, given constant parameter count.

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dingnuts a day ago | parent [-]

The complaint was that the post has a lot of basic inconsistencies which is a problem regardless.

If your content is as bad as AI slop it doesn't really matter if it is or not, but I think it's safe to assume that when a verbose and grandiose post is internally inconsistent and was written after 2022, it's slop[0]

0 https://pyxis.nymag.com/v1/imgs/f0e/0bb/d9346e02d8d7173a6a9d...

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visarga a day ago | parent [-]

What is "AI slop?" I could have a 2 hour long discussion with Claude and in the end have it formalize it as an article. Is that AI slop?

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vjekm a day ago | parent [-]

Yes

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visarga 17 hours ago | parent [-]

Ok, so it just means "worded with AI", no relation to how much thinking went in

	▲	Blackthorn 8 hours ago \| parent [-]
		Anyone interested in a subject can, if they wish, ask an AI about it and get an answer. Your deep conversation with an AI is something fun and insightful only to yourself. You're welcome to do it, but don't pretend it has meaning to anyone else, because if they want to get the same insight on a topic they can do it themselves for the same amount of effort (none).