So should we spend the next 33 years doing the same things, just with more data and more compute power? That would be the logical conclusion of the breathless "I can't believe it is finally happening in my lifetime" and "we just need bigger models and more data" enthusiasm for LLMs when they first appeared. But can we really simply brute force our way to AGI?

Remember, 33 years ago "connectionist AI" wasn't the dominant AI paradigm, and "symbolic AI" wasn't the only other approach either - there were others, like "robotic functionalism" (the idea that you couldn't have true intelligence with interacting with the physical world). Maybe in 33 years some of these other approaches will have a resurgence, perhaps in combination with connectionist approaches. Or maybe they'll even be some entirely new approach.