Earlier quoted context omitted.
Artificial General Intelligence requires a bit more than parsing and predicting text I reckon.
Yes, and transformer models can do more than text. There's almost certainly better options out there given it looks like we don't need so many examples to learn from, though I'm not at all clear if we need those better ways or if we can get by without due to the abundance of training data.
If AI can only learn after people have used the system for a year, then your system will just get ignored. After all, it lacks AI. And hence it will never get enough training data to get AI integration.
Learning needs to get faster. Otherwise, we will be stuck with the tools that already exist. New tools won't just need to be possible to train humans on, but also to train AIs on.
Edit: a great example here is the Tamarin protocol prover. It would be great, and feasible, to get AI assistance to write these proofs. But there aren't enough proofs out there to train on.