The attached is a confused argument, but typical. When people argue that LLMs gains are slowing, they generally aren't arguing that models aren't becoming more efficient. That is inevitable and predictable. They are arguing that capability gains are becoming more expensive to obtain, and fewer new domains accessed, per unit training $/W. This, from Brown, muddles things.