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How I used GPT-3 to hit Hacker News front page 5 times in 3 weeks (vasilishynkarenka.com)
28 points by masterrr on Oct 28, 2020 | hide | past | favorite | 5 comments


The title is very misleading: GPT-3 generated the titles, but as usual, they were manually curated on the "picked the title I liked the most" criteria.

There's more to getting to the front of Hacker News than just a good title (although it helps); ironically this framing undersells the writing capabilities of the author by attributing success to the AI only.

There are ways in theory for AI models to generate "better" titles, which is something I'm actively researching (rough example: https://github.com/minimaxir/gpt-3-experiments/tree/master/e...).


It doesn’t seem misleading to me, they explicitly said “How I used GPT-3”, not “How GPT-3 generated”. (Unless they edited the title)


Sometimes people infer things that aren't strictly speaking logically implied. That doesn't make it not misleading, if it reliably causes people to make those inferences.


It's implying a direct causal effect to getting to the front page, which given the article argument is not well supported.


You are correct, but I would still agree that it is misleading to some extent.




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