Certainly debatable how close it is, but it seems obvious that it's improving in general ability. It's surely not moving away from AGI.
One other aspect is the business side: in the following years lots of buzzwords will be flying around and most to all of the entities involved in statistical learning applications will get stuck in a local minimum worth somewhere between $10 billion to $10 trillion: shareholders care about, well, shares, not AGI. Another invariant in the technological race is that the worst technology will always win in the short to medium term: in Ancient Greece slavery was preferred to the steam engine [2], in 1900 the internal combustion engine won, not the more logical electric vehicle, today we have Windows and MacOS as major operating systems, not Plan9, and so forth.
[1] Michael Levin, From physics to mind, timestamp discussing Xenobots, https://youtu.be/_QICRPFWDpg?t=1343
Is that not what an LLM is doing?
Note that I'm not saying LLMs are sentient or anything (however, I have thoughts on sentience in general). I am simply saying there's an obvious similarity between how humans think and LLMs -- and for whatever reason, so many people think we are special simply because we are "made of meat".
There is an _action_ there, a module, a function, that has to be working.
It is surely moving away from AGI. The implementations go in the opposite direction.
As already expressed: "Intelligence is evolving a world model through critical consideration. Unintelligence is acritical disconnected repetition".