Comment by Tier3r

From the amount of data each successive generation used (which grew many orders of magnitude each time) to the decreasing, logarithmic performance, it's quite clear the steam is running out on shoving more data into it. If one plots the data to performance graph, its horribly logarithmic. In another perspective, the ability of LLMs to transfer learning actually decreases exponentially the larger they and the data sets get. This fits into the how humans have to specialise in topics because the mental models of one field is very difficult to transfer to another.