Humans can fail, but humans can also succeed, in applying logical reasoning- not only to common situations, but also to scientific inquiry. That's how we have s

Humans can fail, but humans can also succeed, in applying logical reasoning- not only to common situations, but also to scientific inquiry. That's how we have science, today. If we were only bumbling fools that stumble in the dark we'd still be stuck in dark caves without fire. But we can be -and we often are- much more than that. But not our machine learning systems. Those are stuck in making stupid mistakes and not being able to generalise away from them. For the time being. You can ask GPT-3 a question and it may come up with a smart answer or a dumb answer, and it won't know which is which. But we will. Because, yes, we can make dumb mistakes but we can also understand that they are mistakes, and that they are dumb, and why they are mistakes and dumb, and we can recover from them and stop ourselves from making the same mistakes. We have blind spots, sure, but we can see through them, eventually, with hard work, after a very long time, very haphazardly. But not our machine learning systems. For our machine learning systems the entire world is one big blind spot. That is how humans are different to machine learning systems.