Are you trying to explain how things once considered dazzling get normalized over time? Because otherwise this is a non-sequitur and has no bearing on the trivially verifiable, exponential explosion of capabilities we have seen in the last 4 years.

I keep saying this, until ChatGPT came out 4 years ago it was basically unimaginable that a single model could do any of, let alone all, the things they are doing today. Like, seriously, go take a look at the state of the art in NLP and NLU, the very first challenge in getting computers to even “understand” natural language, let alone other things like reasoning. Everything it does automatically was once a heavily experimental deep research field with long glorious careers for the researchers.

And now it’s all gone because the Bitter Lesson won again. If that’s not general enough to qualify for the G in AGI I don’t know what it is. And we’re sitting here going, “But it sometimes writes bad code though.”