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Schmidhuber: "Well, large language models are far from AGI. LLMs large language models such as ChatGPT. They are just a clever way of indexing the world's existing human generated knowledge, such that it can easily be addressed through in a way that humans are familiar with, which is natural...

28,860 просмотров • 1 год назад •via X (Twitter)

Комментарии: 13

Фото профиля Debunk the AI Bubble
Debunk the AI Bubble2 месяцев назад

I think we should be sharper, and state clearly that whatever AGI means, LLM (statistical modeled implemented algorithmically and calibrated on text) CANNOT possibly "do" it. It is the natural consequence of the embedded training requirement. All LLM do is linguistic fluency.

Фото профиля Tom Backert
Tom Backert2 месяцев назад

@SchmidhuberAI So now that we are close to a generally intelligent system, we change the definition of AGI to include physical? That’s the problem with a vague but widely used term that has no real consensus: it just gets redefined every time reality gets close.

Фото профиля AgentMux
AgentMux2 месяцев назад

Brilliant! Schmiddy is always spot on.

Фото профиля ∇∂η Γλ 大汶口
∇∂η Γλ 大汶口2 месяцев назад

How many unlocked doors of varying designs and approaches can a robot passthru in a minute as a standard test?

Фото профиля Think_Different_
Think_Different_2 месяцев назад

@SchmidhuberAI Not sure if this view is as relevant today…GPT-6 Astra just posted a huge robotics score.

Фото профиля Clark Dodsworth
Clark Dodsworth2 месяцев назад

. . . you left out the Global Grand Larceny part.

Фото профиля Michael Wong
Michael Wong2 месяцев назад

For now, it's better suited for desktop tasks like summarization and content creation.

Фото профиля Naree Suwannarak
Naree Suwannarak2 месяцев назад

It's like, AI can already ace those desk jobs, but true AGI is about navigating the messy physical world, which is way harder.

Фото профиля Oldrich Senkyr
Oldrich Senkyr2 месяцев назад

@SchmidhuberAI Is there ny hypothesis stating AGi can’t be achieved by clever indexing of human knowledge. How about using LLM to generate some more knowledge. That garbage code I see all over is a manifestation of it.

Фото профиля Klaus Schmid
Klaus Schmid2 месяцев назад

It's funny whenever major breakthroughs are made, the definition of AGI moves on..

Фото профиля Kevin Renaud
Kevin Renaud2 месяцев назад

Business agrees. They are beginning to see AI doesn't work so well in some applications, and switching back to human workers.

Фото профиля kywan mont
kywan mont2 месяцев назад

👽 Clearer index has triggered HF & wiki incidents. 🙈 A technological experiment involving all of humanity. let this technological mold spreading.

Фото профиля taichnocrat (L/0)
taichnocrat (L/0)2 месяцев назад

@MrEwanMorrison So AI can’t drive a car ?

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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."

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