2 ms·

I can read 800 words per minute if I want to power through something that is mostly unimportant. I usually read at 400 words per minute, which is good enough fo

I can read 800 words per minute if I want to power through something that is mostly unimportant. I usually read at 400 words per minute, which is good enough for me to remember what I read and easily comprehend the meaning. I can manage perhaps 50 words per minute if I want to really understand what I am reading, picking apart the argument and revising my beliefs as I go along. All along the way, I have to constantly refocus myself and force myself to slow down, so strong is the temptation to speed ahead and let the words wash over me. Think of the way you read something that you strongly disagree with. I would bet you check every fact and constantly evaluate the strength of the argument, and I would bet it takes you an hour to get through a single article. That is what it takes to deeply understand something. We rarely read that way. GPT-3 can write the content-free babbling that C students use to pad papers. It can write things that appear coherent if you don't actually read them.

UnFleshedOne 6y ago
The ultimate solution to the looming GPT-3 problem is another AI that can strip out all the flowering language, distill text to claims and logical operations, cross validate that, flag incoherent content and present coherent content in a short form. For example your processed post could look like that: - Author claims his fast reading speed at 800 wpm - 400 wpm with good comprehension - 50 words when reading carefully, with effort - Claims people read that last way when disagreeing with the premise - Claims that it takes an hour to read one article - Claims that it is rare - Claims GPT-3 can write filler text like bad students can - Claims it can appear coherent Those can be automatically cross checked with each other and external knowledge base, duplicate reworded posts could be found, and even humans could read those more carefully and detect problems because claims and logic are already extracted from the text. I suspect this is what we do internally when reading things, but with more speed comes more things to keep track of, which is hard so we tend to pattern match word salads instead, because we have wetware optimizations for that. I want to see that in the next generation of content blockers. :)

UnFleshedOne 6y ago

The ultimate solution to the looming GPT-3 problem is another AI that can strip out all the flowering language, distill text to claims and logical operations, cross validate that, flag incoherent content and present coherent content in a short form. For example your processed post could look like that: - Author claims his fast reading speed at 800 wpm - 400 wpm with good comprehension - 50 words when reading carefully, with effort - Claims people read that last way when disagreeing with the premise - Claims that it takes an hour to read one article - Claims that it is rare - Claims GPT-3 can write filler text like bad students can - Claims it can appear coherent Those can be automatically cross checked with each other and external knowledge base, duplicate reworded posts could be found, and even humans could read those more carefully and detect problems because claims and logic are already extracted from the text. I suspect this is what we do internally when reading things, but with more speed comes more things to keep track of, which is hard so we tend to pattern match word salads instead, because we have wetware optimizations for that. I want to see that in the next generation of content blockers. :)