AGI is just the beginning, not the finish line. After solving the invention problem, we still need to make AI reliable, affordable, and safe enough for everyday use. The speaker uses aviation as an analogy: powered flight took decades of engineering and safety standards after the first flight, and AI will too.
Chapters
If AGI is here, why is any further work or development on AI even needed? But there's huge, so much more work to be done on reliability, on cost, on access. Figuring out how to embody AIs is another piece of work as we're working with robots. How do you integrate them into everyday life? So you need to not just rest on the laurels of, oh, we've achieved AGI. You may have solved the invention problem, but now there's the engineering problem. How do you move this into the world in an effective way? A good analogy for this would be aviation. Once we achieve powered flight, flight. We didn't just stop. We have created a huge, long developmental engineering process on reliability and infrastructure and safety and operating system institutions to help guardrail against those— all that, that stuff. So it may be the beginning, but it's definitely, definitely not the end.