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Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being...

30,546 views • 10 days ago •via X (Twitter)

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.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,455 views • 1 year ago

AI Validates the Truth of Buddhism | Philosophy x AI In this interview, Imperial’s Murray Shanahan Murray Shanahan lays out a systematic procedure to validate machine consciousness. You might think the question of whether AIs are conscious is a trivial, theoretical fancy with no use in the real world. This interview will show you why it’s one of the most important questions with practical implications for not just how we treat AI systems but also how we build and align them. But the most unexpected reward of investigating AI consciousness turns out to be what it reveals about our consciousness, about the nature of the human self. Murray’s most interesting claim is that LLMs have an important buddhist lesson to teach all of us, namely, that there is no “us.” By better understanding the "no-self" of LLMs we are given a mirror to reflect on whether human selves are also an illusion. Timestamps: 08:26 Why Buddhist Enlightenment May be Easier for Software Programs 16:30 Super-Intelligent AI Might Not Want To Take Over the World 30:25 Wittgenstein’s Radical Take on Consciousness 42:55 What Video Games Teach Us About Consciousness 49:59 How the Movie Ex Machina Created a Better Test for AI Consciousness 1:02:36 What the Debate about AI Consciousness Is Missing 1:09:31 Does Conscious AI Have A Moral Right to Live? 1:15:01 Is the Human Brain Computationally Superior to AI? 1:26:59 Why Philosophy Is the Essential Skill for the AI Age

Johnathan Bi

30,521 views • 1 year ago