One thing that's changed is: > So now we have the top machine learning research institutes, DeepMind and OpenAI, still spending the majority of their time and

One thing that's changed is: > So now we have the top machine learning research institutes, DeepMind and OpenAI, still spending the majority of their time and resources on Deep RL DeepMind has diversified at least some since 2019, and I'm fairly confident that OpenAI is spending more resources on huge transformer models than on RL these days. Which is really the only thing that has changed, since even in 2019 there are at least a dozen world-class institutions doing AI/ML research aimed at addressing issues raised in this blog post (and others). The blog post is accurate about OpenAI/Deepmind c. 2019, but is wrong about the overall composition of research effort in the field c. 2019. Outside of two small and very new labs, most ML research wasn't focused on RL, and most RL research wasn't focused on DRL as a silver bullet. Sort of of the west coast SV version of only paying attention to work out of MIT and Stanford and therefore missing most of the interesting things happening in the world.