I’m saying that “1% of population” is simply not a number that can be reliably resolved by a self-reporting survey. It’s below the survey noise floor.
I could make a survey asking people whether they’re lab grown flesh automaton replicants, and get over 1% of “yes” on that. But that wouldn’t be indicative of there being a real flesh automaton population of over 3 million in the US alone.
This post feels at least 80% AI generated. That aside, which part of “AI that was never trained or optimized to do machining makes mistakes in machining” is surprising, exactly?
Mainstream LLMs are not trained to perform physical tasks out in the real world at all. It doesn’t matter how cutting edge it is—you can’t expect to cram an off the shelf LLM into a robot body and have it perform well. It took a lot of reinforcement learning elbow grease to get AIs to be any good at math or coding—and robotics companies are now having to do a lot of specialized training to get robot AI that’s competent at tasks on the level of “pick up that can”. Let alone physical reverse engineering or complex manufacturing operations.
That doesn’t mean that we wouldn’t get an AI that’s superhuman at machining in a few years. Or a few weeks. It’s just stupid to expect today’s mainstream AIs to be there already.