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by T-A
2144 days ago
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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. |
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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.