The classic fast-takeoff scenario has an AI rapidly improving itself beyond human comprehension. Critics argue bottlenecks — compute, data, physical experimentation — make takeoff gradual. Where do you land now? Has the empirical evidence of the last few years moved you toward or away from fast takeoff?