I'm not sure if this captures this full set of tensions at play. I'm a huge fan of Doug Engelbart, and he was my inspiration for a long time...but it turns out

I'm not sure if this captures this full set of tensions at play. I'm a huge fan of Doug Engelbart, and he was my inspiration for a long time...but it turns out augmentation of power without checks and balances can end up very messy (I'm also a fan of James Madison, though Engelbart is closer to a first love!). One could argue that I actually started work on misinformation though Engelbart. I was working on various projects specifically to achieve a vision like his, and it is still my guiding light. But it turns out that some technologies (initially focusing on Facebook and YouTube's engagement dynamics...), without appropriate checks and balances, are sort of anti-augmentation of intellect. They give an asymmetric advantage to those who are trying to weaken our intellects. So I ended up dropping those projects to attempt to address urgent misinformation issues in May of 2016. Going back to GPT-2 and research release, I and my co-author recently went deep into understanding the types of risks and tradeoffs in a recent paper. You can see the summary here: https://medium.com/@aviv/reducing-malicious-use-of-synthetic-media-research-9def6ab81aaf https://medium.com/@aviv/reducing-malicious-use-of-synthetic... or go directly to arXiv https://arxiv.org/pdf/1907.11274.pdf https://arxiv.org/pdf/1907.11274.pdf . The goal of our paper is specifically to go past the angry invective of the "here is the most important problem" (in your case, "AI inequality") and actually dive into the weeds of threat models and tradeoffs.