Personally I think general knowledge is kind of a useless metric because you’re not really developing “intelligence” at that point just a giant dictionary, and of course bigger models will always score better because they are bigger. In some sense training an ANN is kinda like a compression algorithm of a ton of knowledge, so the bigger the parameters the less lossy the compression it is, the more it knows. But having an absurd amount of knowledge isn’t what makes humans intelligent, most humans know very little, it’s problem solving. If we have a problem solving machine as intelligent as a human we can just give it access to the internet for that information. Making it bigger with more general knowledge, imo, isn’t genuine “progress” in intelligence. The recent improvements by adding reasoning is a better example of genuine improvements to intelligence.