Is Brain doing great? From a few things people have said, it sounded like Brain was struggling so Google bought Deep Mind instead. All of the really cutting edge AI stuff has come out of Deep Mind, not Brain.
Just to clarify here, Deep Mind in no way replaces Brain. The AI space, like any other space, isn't a single unified landscape. There are areas where Deep Mind is a true standard setter--particularly deep reinforcement learning (AlphaGo, for example)--and areas where Brain has been one of the standard setters--natural language processing springs to mind, where Brain has historically pushed the field forward with projects like word2vec, BERT, and the Transformer architecture generally.
Brain is also a much more general organization. They do things like develop Tensorflow, which is one of two most popular ML frameworks in the world (and until recently was far and away the most popular), and TPUs, which are ML-dedicated ASICs that have a huge impact on training and inference.
Both orgs are world class and historically important, and they certainly overlap, but they aren't replacements for one another.
I strongly disagree. Without a shadow of a doubt, the most successful/important AI model of recent times is the Transformer (from Brain). As another example, the fastest accelerators, TPUs, are from Brain. If you only look at "amount of output" and use # publications at e.g. NeurIPS as proxy, Brain vastly outperforms Deepmind. Deepmind really exceeds at flashy and showy PR releases like AlphaStar, not so much at laying the groundwork for AI breakthroughs. (Though of course AlphaFold or AlphaGo were great).
Brain is not a pure research group. It builds infrastructures/platforms for machine learning related tasks and its research part is relatively small compared to the entire organization.
Brain is also a much more general organization. They do things like develop Tensorflow, which is one of two most popular ML frameworks in the world (and until recently was far and away the most popular), and TPUs, which are ML-dedicated ASICs that have a huge impact on training and inference.
Both orgs are world class and historically important, and they certainly overlap, but they aren't replacements for one another.