The fact that you think it was suggested _by_ them is I think where your mental model is misleading you.
LLMs can be thought of metaphorically as a process of decompression, if you can give it a compressed form for your scenario 1 it'll go great - you're actually doing a lot of mental work to arrive at that 'compressed' request, checking technical feasibility, thinking about interactions, hinting at solutions.
If you feed it back it's own suggestion it's no so guaranteed to work.
It seems to be the "conversation" part, not necessarily "communication", one of the early stages in children's language acquisition is teaching the flow of back and forth responses and pausing for the other to speak: which seems to be what they're indicating in this article.
Completely not the focus of the article, and you've turned the result of an error rate of 0.8 percent for gender classification of light-skinned men and a 34.7 percent error rate for the same classifier on dark-skinned women - into some kind of google image search language game?
I can only quote Joy Buolamwini on this:
“To fail on one in three, in a commercial system, on something that’s been reduced to a binary classification task, you have to ask, would that have been permitted if those failure rates were in a different subgroup?”
It's an article post on the paywalled site platformer.news (Alexa Rank 57,888, most of the sites visitors coming from cnewton.org) by the San Francisco based founder and writer of platformer.news Casey Newton, the article title ends in a question mark.
In the United States, supercentenarian status is predicted by the absence of vital registration. The state-specific introduction of birth certificates is associated with a 69-82% fall in the number of supercentenarian records. In Italy, which has more uniform vital registration, remarkable longevity is instead predicted by low per capita incomes and a short life expectancy. Finally, the designated ‘blue zones’ of Sardinia, Okinawa, and Ikaria corresponded to regions with low incomes, low literacy, high crime rate and short life expectancy relative to their national average. As such, relative poverty and short lifespan constitute unexpected predictors of centenarian and supercentenarian status, and support a primary role of fraud and error in generating remarkable human age records.