I would say a definition for GAI is a system that can improve its own ability to adapt to new problems. That’s a more concrete formulation than I’ve typically s

I would say a definition for GAI is a system that can improve its own ability to adapt to new problems. That’s a more concrete formulation than I’ve typically seen. Currently humans are still in the loop, but we already have AI enabling advancements in their own functioning at a very primitive level. Extrapolating from previous growth is a form of belief without evidence since past performance not indicative of future results. But that’s generally true of all prognostication and I’m not sure what kind of evidence you’d be looking for aside from past performance. The doubters are dismissed as naive thinking that something is outside our ability to achieve something, but that’s only if you keep moving goalposts and treat it like Zeno’s paradox. Like yes, there are weaknesses to our current techniques. At the same time we’ve also demonstrated an uncanny ability to step around them and reach new heights. For example, our ability to beat Go took less time than it took to develop techniques to beat humans at chess. Automation now outcompetes humans at many many things that seemed impossible before. Techniques / solutions will also be combined to solve even harder problems (eg now LLMs are being researched to take over executive command control operations of robots for example instead of using classical control systems algorithms that were hand built and hand tuned)