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Your kid's printer dilemma isn't the same. For starters, he knew it ran out of paper - he identified the problem. The AI robot might conclude the printer is bro

Your kid's printer dilemma isn't the same. For starters, he knew it ran out of paper - he identified the problem. The AI robot might conclude the printer is broken. It would give up without anxiety, declaring "I have no data about this printer". Your kid got angry, which is fuel for human scrutiny and problem solving. If you weren't there to guide him, he would have tried different approaches and most likely worked it out. For you to say your kid is exactly the same as data-driven AI is perplexing to me. Humans don't need to have hidden in a box themselves to understand "hiding in things for the purposes of play". Whether it's a box, or special one of a kind plastic tub, humans don't need training about hiding in plastic tubs. AI needs to be told that plastic tubs might be something people hide in.

lowbloodsugar 4y ago
The distinction is that, currently, AI has training phase and execution phase, while a human is doing both all the time. I don’t think the distinction is meaningful now, and certainly won’t be when these two phases are combined. You are just a neural net. You are not special.
- exodust 4y ago
  > "You are just a neural net. You are not special". "Just" a neural net? Compared to these bots following a recipe of instructions at rapid rates, we are indeed special. We barely even know why people yawn, or dream, or any number of other things. Don't pretend it's all figured out. Don't pretend all we need to do is "tweak the execution phases" to unleash true artificial intelligence. You're reducing human intelligence far below where it actually is. Another example: The box is painted bright green - unusual for a box. A small child will notice the colour, but not give that fact more weight than it deserves. In other words, the child concludes the box is still a box being used for play, with someone hiding inside. AI Bot on the other hand, has only been taught about normal brown cardboard boxes. It reaches a different conclusion about the purpose of the green box because it gave the colour too much priority. Humans are special not because of training and execution in parallel, but because of our unique ability to "relax" and move ahead when not all factors are known. We push through, go with flow, "wing it" at varying degrees of success. We take leaps of faith, including micro-leaps in normal situations far more often than any Bot should be allowed to do. That's the special difference, and is why I'm honestly wondering where the ethics debate is while companies rub their hands together thinking about AI profits.

lowbloodsugar 4y ago

The distinction is that, currently, AI has training phase and execution phase, while a human is doing both all the time. I don’t think the distinction is meaningful now, and certainly won’t be when these two phases are combined. You are just a neural net. You are not special.

exodust 4y ago
> "You are just a neural net. You are not special". "Just" a neural net? Compared to these bots following a recipe of instructions at rapid rates, we are indeed special. We barely even know why people yawn, or dream, or any number of other things. Don't pretend it's all figured out. Don't pretend all we need to do is "tweak the execution phases" to unleash true artificial intelligence. You're reducing human intelligence far below where it actually is. Another example: The box is painted bright green - unusual for a box. A small child will notice the colour, but not give that fact more weight than it deserves. In other words, the child concludes the box is still a box being used for play, with someone hiding inside. AI Bot on the other hand, has only been taught about normal brown cardboard boxes. It reaches a different conclusion about the purpose of the green box because it gave the colour too much priority. Humans are special not because of training and execution in parallel, but because of our unique ability to "relax" and move ahead when not all factors are known. We push through, go with flow, "wing it" at varying degrees of success. We take leaps of faith, including micro-leaps in normal situations far more often than any Bot should be allowed to do. That's the special difference, and is why I'm honestly wondering where the ethics debate is while companies rub their hands together thinking about AI profits.