The model predicted a 1/5 chance that it turned out to be a good title, so those aren't terrible odds for a random chance. Although if this post does hit 100 points, I'll add an update.
That's the difficulty of interpreting the results of AI models and one of the dark secrets of DS/ML practicioners is that they don't always have the right answers, just the best-case scenarios.
Also, those were variations on a title about this particular topic. I bet if the model were used to score the likelihood that this blog post (with any reasonable title) were to hit front page, it would predict that to be likely.
So, it's GPT-3 wrong, is his code wrong or it's just that GPT-3 doesn't like hacker news titles?