Yep, the tipping point for me was seeing a demo of GPT-4 writing code, then being shown exceptions where the code failed, and successfully fixing the code given

Yep, the tipping point for me was seeing a demo of GPT-4 writing code, then being shown exceptions where the code failed, and successfully fixing the code given that feedback. Seems that for any task where you can generate an error signal with some information ("ok, what you just tried to do didn't succeed, here's some information about why it didn't succeed"), GPT-4 can generally handle this information to fix the error, and or seek out more information via tools to move forward on a task. Only thing that's really missing is somebody to crack the back of a memory module (perhaps some trick with embeddings and a vector db) is all it takes for this to be AGI.