Hmmm. Perhaps below-average performers are more likely to take GPT output at face-value, being less competent to review and edit it. And above-average performer

Hmmm. Perhaps below-average performers are more likely to take GPT output at face-value, being less competent to review and edit it. And above-average performers are more likely to hack the GPT output around, because they're confident in their own abilities. Therefore below-average types will produce finished output more quickly; and this was a time-constrained test, so velocity matters. ChatGPT is very good at waffling, and marketing-speak and inspirational messages are essentially waffle. IOW, the tasks were tailor-made for unaided ChatGPT, so high-performers were penalized.