The problem is that there is little, incremental progress last 1 year or so after the big chatGPT boom to justify the hype, technically wise. Most of the "progress" going on is basically marketing, and making the models respond in ways humans like, or being more useful in certain practical applications. The basic, fundamental issues/limitations remain unanswered and unaddressed. As products, they have improved a lot and most probably are gonna improve more. But if we are talking for going towards AGI or more complex applications, I do not see evidence on that except as toys.
I see it being used a lot now. AGI is a mirage and I think LLMs have made this more clear. We will never get there because the goal posts will always change. We will eventually get to the point that the prenatal experience is viewed as critical to AGI.
