> Once an AI gets just 1% efficient at automation, it achieves 100% efficiency quickly thereafter This is really optimistic and completely overlooks the 80/20 problems that have plagued both AI automation and traditional automation. The AI sweeps up the easy cases and humans are left to fix, or paper over with heuristics, the remainder. Example? Speech-to-text. It's pretty good and the spread of automated closed capt…
This also widely varies by language. Automated Japanese subtitles on YouTube are completely useless. Even with someone speaking clearly you'll find at least 2-3 mistakes every line of dialogue and if they speak slightly quickly then all bets are off (it also makes mistakes that seem strange -- Japanese has a very limited set of phonemes so consistently guessing the wrong ones seems very strange).