It is possible that it will hit a dead end. But I believe nobody expected the current architecture to be anywhere near this good. I can literally tell it, in p

It is possible that it will hit a dead end. But I believe nobody expected the current architecture to be anywhere near this good. I can literally tell it, in plain text with a single example, to become a home assistant to control the lights and output JSON, then prompt it with natural language like "make it look like a submarine on battle stations" and it will output a setting where all the lights are red. In the exact format I asked it to use. That's a bit more than "appearing to solve a problem". That, right there, is a directly usable application. I could literally plug a speech to text -> ChatGPT -> something that filters invalid JSON -> light controls together, teach it a few more commands, and have a much better home assistant than anything I've seen commercially available, limited mainly by the speech recognizer. The incredible thing about this is that it can't just do that with ONE problem, it can do that with MOST simple problems that don't require really extensive background knowledge, and it is clearly able to encode knowledge (battlestations -> red), so it seems plausible to me that more data will let it handle more knowledge.