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>"innate desire" "Innate" implies purpose, which is a human trait. Humans built the plane to fly. >There's a massive difference. There is 0 difference.
by Jerrrry 2y ago
>"innate desire"
"Innate" implies purpose, which is a human trait.
Humans built the plane to fly.
>There's a massive difference.
There is 0 difference.
We built the machine to work; we have built prior machines - they did not work (as well), so we built more.
We are the selectivity your predisposition to nature argument hinges on.
And we won't stop til it stops us.
- pyrale 2y ago> which is a human trait. Many animals share that trait.
- HarHarVeryFunny 2y agoNo - "innate" just means built-in. An innate trait/behavior for an animal is something defined by their DNA that they will all have, as opposed to learned behavior which are individual specific. An AI could easily be built to have innate curiosity - this just boils down to predicting something, getting feedback that the prediction is wrong, and using this prediction failure (aka surprise) as a trigger to focus on whatever is being observed/interacted with (in order to learn more about it).
- TeMPOraL 2y ago> An innate trait/behavior for an animal is something defined by their DNA that they will all have, as opposed to learned behavior which are individual specific. In that sense, most airplanes have an innate desire to stay in the air once aloft. As opposed to helicopters, which very much want to do the opposite. Contrast with modern fighters, which have an innate desire to rapidly fly themselves apart. Then, consider the autopilot. It's defined "by their DNA" (it's right there in the plane's spec!), it's the same (more or less) among many individual airplanes of a given model family, and it's not learning anything. A hardcoded instinct to take off and land without destroying itself. > An AI could easily be built to have innate curiosity - this just boils down to predicting something, getting feedback that the prediction is wrong, and using this prediction failure (aka surprise) as a trigger to focus on whatever is being observed/interacted with (in order to learn more about it). It's trivial to emulate this with LLM explicitly. But it's also a clear, generic pattern, easily expressed in text, and LLMs excel at picking up such patterns during training.
- HarHarVeryFunny 2y ago> It's trivial to emulate this with LLM explicitly. But it's also a clear, generic pattern, easily expressed in text, and LLMs excel at picking up such patterns during training. So try adding "you are a curious question asking assistant" to the beginning of your prompt, and see if it starts asking you questions before responding or when it doesn't know something ... Tell it to stop hallucinating when it doesn't know something too, and just ask a question instead !