New blog post: on the million-x sample efficiency gap between AIs and humans, and whether it matters: "The reason it is relatively easy for open source and previous laggards to catch up to within months of the frontier is that data is the real driver of progress. And data can be easily distilled from public APIs, whereas hyper-parameters and training tricks and architectural micro-optimizations cannot - if the latter were driving most of progress, then catching up would be harder than we are…