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by alchemist1e9
51 days ago
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I think it’s likely there will be methods to fix this soon, some de-slop algorithms, or is there a deep reason it will always be detectable? Perhaps there are some PhD linguists who have figured out how to quantify the “slop” effect and are writing their thesis on it. Once that is done it will be possible to smooth it away. The book is definitely LLM assisted authoring yet it also has great content, so not sure we can immediately jump to shaming it entirely for being slop. |
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I'd written this piecemeal over the last year or so (originally a series of blog posts), and was happy to release it all for free in a single edition, and under CC.
I'll release an Edition 1.1 soon with some errata, adjustments. There's already a free PDF for the on-the-go -> https://gitperf.com/pdf.html
Regarding the cherry-picking of fragments of an LLM: of course an LLM (in fact several!) were used to stitch together those disparate blog posts into a more coherent whole. And they certainly left an imprint in places. Otherwise, as a solo writer with a full-time job putting together a 200-page book, I'd have to pay an editor, or work with O'Reilly (did this in 2010 on a Redis book; never again!); and perhaps the book wouldn't be free!
LLMs will continue to leave imprints in our work. Some words will, over time, be edited and whittled away. Other words, when the LLM writes well enough to convey a useful point, will be kept.