The Onion, gloriously on target as ever.

https://theonion.com/the-onions-exclusive-interview-with-sam-altman/

“we estimate that a million satellites could mean that a teragram (one billion kgs) of alumina accumulates in the upper atmosphere – enough, alongside launch emissions, to significantly alter atmospheric chemistry and heating in dramatic ways we do not yet understand.

There is no public mandate for a single company in one country to make changes on that scale to the planet’s atmosphere.”
https://theconversation.com/a-new-space-race-could-turn-our-atmosphere-into-a-crematorium-for-satellites-276366

The ability to make complex distinctions with high accuracy after ingesting a sufficient amount of training data is a signature feature of machine learning algorithms. But humans also have this ability, even if they are not always consciously aware of it. One of my favorite illustrations of this is the learned ability to determine (qualitatively) the temperature of water from its sound, which almost all of us have acquired purely through training data: https://www.youtube.com/watch?v=Ri_4dDvcZeM

We even have the learned ability to accurately predict the next word in a sentence, even when we do not understand the semantic content of the sentence itself. Some (rather frustrated) examples of this occur in the later stages of the classic "Who's on first?" sketch: https://www.youtube.com/watch?v=r9t097tbeT0