41–50 of 317 posts
They can always use AI based solutions to unblur the JPEG, like this: https://twitter.com/maxhkw/status/1373063086282739715
It already hallucinates... lets up the dosage!
This is a decent summary. I've been thinking about how ChatGPT by it's very nature destroys context and source reputation. When I search for something on the Internet, I get a link to the original content, which I can then evaluate based on my knowledge and the reputation of the original source. Wikipedia is the same, with a big emphasis on citation. ChatGPT and other LLMs destroy that context and knowledge, giving m…
If somebody asked me how heap sort works (my favorite sort!) I can sketch it out. If they ask me where I learned it, I really don't remember. Might be the Aho, Hopcroft, and Ullman book. I can't really say though.
Damn, I hate to plug products on HN, but I'd say that the New Yorker is the one subscription I've loved maintaining throughout my life. First got it right out of college and appreciate it 20 years later. Everyone is publishing think pieces about ChatGPT - yawn. But only the New Yorker said, hmm, how about if we get frickin' Ted Chiang to write a think piece? (It is predictably very well written.)
Certainly beats a Medium subscription, where you pay (more?) to read 95% garbage when compared with what's put in The New Yorker.
Damn, I hate to plug products on HN, but I'd say that the New Yorker is the one subscription I've loved maintaining throughout my life. First got it right out of college and appreciate it 20 years later. Everyone is publishing think pieces about ChatGPT - yawn. But only the New Yorker said, hmm, how about if we get frickin' Ted Chiang to write a think piece? (It is predictably very well written.)
Wholly agree. I worked there many years ago, leading the re-design and re-platform (fun dealing with 90 years of archival content with mixed usage-rights) and paywall implementation (don't hate me, it funds journalism). When you see how the stories get made and how people work there, well, its just amazing.
“‘blur’ tool for paragraphs” is such a good way of describing the most prominent and remarkable skill of ChatGPT.
It is fun, but so obviously trades off against what makes paragraphs great. It is apt that this essay against ChatGPT blurry language appears on The New Yorker, a publication so known for its literary particularism. ChatGPT smears are amusing, but they are probably also yet another nail in the coffin of the literary society. Nowadays we are not careful readers; we skim, skip, and seek tools to sum up whole books. Human knowledge is in the ability to produce the particular and the ability to recognize it. For philosophers such as Iris Murdoch, careful attention to the particular, to just the right adjective in describing a friend, is a moral attention.
With Google we took the job of storing quotes (and other decompressed writing) and made it the remit of the machine. But we still asked for it back uncompressed. Here with ChatGPT, we are beginning to accept back a blur, because the Declaration of Sock Independence is immediately, Tiktok-speedily funny, and no one’s reading the original declaration anymore anyway.
> Models like ChatGPT aren’t eligible for the Hutter Prize for a variety of reasons, one of which is that they don’t reconstruct the original text precisely—i.e., they don’t perform lossless compression. Small nit: The lossiness is not a problem at all. Entropy coding turns an imperfect, lossy predictor into a lossless data compressor, and the better the predictor, the better the compression ratio. All Hutter Prize c…
Apparently it leads the compression of enwik9 ( http://www.mattmahoney.net/dc/text.html ) . Not sure why it isn't eligible for the Hutter Prize, there's some speculations in the previous discussion but I don't know whether they're true.
> Google offers quotes Today it almost exclusively offers quotes from content marketing intended to sell you something . It's like trying to learn by reading the ads in a catalog.
This is a decent summary. I've been thinking about how ChatGPT by it's very nature destroys context and source reputation. When I search for something on the Internet, I get a link to the original content, which I can then evaluate based on my knowledge and the reputation of the original source. Wikipedia is the same, with a big emphasis on citation. ChatGPT and other LLMs destroy that context and knowledge, giving m…
So it's more like talking to a person. If somebody asked me how heap sort works (my favorite sort!) I can sketch it out. If they ask me where I learned it, I really don't remember. Might be the Aho, Hopcroft, and Ullman book. I can't really say though.
ChatGPT has little reputation of its own, and produces such a broad swath of knowledge, it becomes "Jack of all trades, master of none."
Ugh I’m beginning to think I’m going to spend the next 6-12 months commenting “no, large language models aren’t supposed to somehow know everything in the world. No, that’s not what they’re designed for. Yes, hooking one up to our long-standing record-of-everything-in-the-world (google’s knowledge graph) is going to be powerful.” It’s getting to point where I need to consider stop going on HN. This is like when my fa…
The internet is not record-of-everything-in-the-world by a long stretch.
Damn, I hate to plug products on HN, but I'd say that the New Yorker is the one subscription I've loved maintaining throughout my life. First got it right out of college and appreciate it 20 years later. Everyone is publishing think pieces about ChatGPT - yawn. But only the New Yorker said, hmm, how about if we get frickin' Ted Chiang to write a think piece? (It is predictably very well written.)