[jonnypotty]

I simply don't believe that this is fundamentally the work of an ai. Its in a different league to anything else I've read. It's structured, coherant and on topic constantly. It would be really interesting to see the original text before human editing.

[T-A]

The process is explained in the prologue (which I think would be a better link):

https://thefirstaibook.com/

I simply provided a few-sentence prompt on each of these subjects, had GPT-3 generate approximately 2,000 words of text each, and later (in most cases) removed the supplied prompt to keep the result as human-free as possible.

It should be noted that, at times, I had to include ‘pivot’ phrases (e.g ‘therefore’, ‘in summary’, ‘perhaps’, and so on) before a new paragraph. Current networks appear to get off-track after ~1000 words, so this is necessary to improve consistency in predicting longer sequences of text. The final result was also copy-edited for spelling mistakes and punctuation (yes, AI makes mistakes!)

Everything else that you will read – the logic, the reasoning, and the conclusions – was generated entirely by GPT-3.

[kd5bjo]

> Everything else that you will read – the logic, the reasoning, and the conclusions – was generated entirely by GPT-3.

The open question is how much did the human tweak the prompts in response to the generated text. Unless this was a moderately blind process, there’s a good chance that they kept rolling the dice until something they liked came out, which re-inserts a significant human element. I suspect that the human’s contributions likely rise to the level of co-author, or at least a very opinionated editor.

[wimpypistol]

I was similarly surprised, but it's true. The original text is essentially the exact same (probably a 99.9% overlap) with the exception of a few spelling mistakes or grammar errors. My editing was about as much as you'd get from Microsoft Word, if that.

[jonnypotty]

So you're telling me now the big challenge for AI is no longer making sense, it's spelling and grammar? I don't get it.

[wimpypistol]

This is a word predictor fed on billions of tokens of text. Because it has been trained on human writing, it makes characteristically human mistakes (including spelling, grammar, and even some phonetic errors).