It's a OpenAI researcher that's worked on some of their most successful projects, and I think the criticism in his X thread is very clear.

Systems that can learn to play Atari efficiently are exploiting the fact that the solutions to each game are simple to encode (compared to real world problems). Furthermore, you can nudge them towards those solutions using tricks that don't generalize to the real world.

That sounds like an extremely useful insight that makes this kind of research even more valuable.