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by Jimmc414 932 days ago
I reported this behavior 4 months ago on HN https://news.ycombinator.com/item?id=36675729

[The researchers wrote in their blog post, “As far as we can tell, no one has ever noticed that ChatGPT emits training data with such high frequency until this paper. So it’s worrying that language models can have latent vulnerabilities like this.”]

1 comments

it is worrying just how much of this has shown up in hn comments months before being officially discovered by official experts.
If you limit your definition of "experts" to people who write academic papers and BigCorp press releases, you're gonna miss a lot of insight.
The "official experts" are just like you and me. Turns out they might even be worse than us if it took them so long to notice
The argument for those who make things vs those who make models trying to make sense of those who makes things.

The "Mathematics and Science" is the explanation that comes after-the-fact of the creation which was initially driven by intuition and insight mixed with experiment in order to jump towards new intuitions and experiments.

Said another way, I find it true that mathematics and science serve as a form of language that seek to explain what already exists. It cannot be used as a tool for what has not yet been created. The catch being that things which have been created are usually part of the process of creating that which hasn't.

This got metaphysical without really wanting it to be. Oh well.

> This got metaphysical without really wanting it to be. Oh well.

will see and raise with your words

> The argument for those who make things vs those who make models trying to make sense of those who makes things.

the makers are making and using models, which are being used to make more things, all while modelers are now asking the models about the models (and possibly the modelers) to build…

the meta is likely to exponential.