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Artificial General Intelligence – A gentle introduction

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Re: Artificial General Intelligence – A gentle introduction

#161

Post by janalsncm »

xcv123 wrote: post #156
esafak wrote: post #151

Earlier quoted context omitted.

It's not obvious to me. Why is transporter death bad if you are identically replicated ?

Because the transporter replica is not you. That is a separate person with their own separate consciousness. You are murdered and someone else is born.

Murder is a crime as decided by humans. There are circumstances where killing another person is not a crime, because we have agreed it is not a crime. A doctor turning off life support can be fully legal even though it results in the destruction of a human life. There is no ultimate principle at work. The law is a set of rules that we have (implicitly) agreed to.

Likewise, we as a society could decide that a person has all of their rights transferred to their replica as soon as they walked into a transporter.

Re: Artificial General Intelligence – A gentle introduction

#162

Post by [deleted] »

janalsncm wrote: post #159

I’m still skeptical that AGI is a coherent concept, mostly because I am skeptical that general intelligence is one thing rather than a cluster of capabilities, and I am skeptical than humans are even the most “generally intelligent” species on the planet. https://youtu.be/zsXP8qeFF6A Here is a video demonstrating the working memory of a chimpanzee. It is obviously considerably better than a human’s. Given this inform…

[deleted]

Re: Artificial General Intelligence – A gentle introduction

#163

Post by janalsncm »

Joeri wrote: post #103

I find it telling that the section on ethics has nothing on the rights of AGI. If we create true AGI it will likely be a digital person, and digital people should have rights. All talk of ethics seems to be focused on alignment of AI rules to human needs, not alignment of human rules to AI needs. This makes me think the first true AGI systems will end up as digital slaves. And yes, I know the very idea of AI rights o…

One of the definitions of AGI is simply that it is able to solve any problem humans can solve. Such a system might have the inner experience of a calculator.

There is no a priori reason why an AGI would be the kind of thing we gave rights to. Rights are for things that can experience pleasure and pain.

Re: Artificial General Intelligence – A gentle introduction

#164

Post by YeGoblynQueenne »

cubefox wrote: post #115
YeGoblynQueenne wrote: post #48

>> In the past, there were some ambitious projects aiming at this goal, though they all failed. So some people like to repeat. Yet, outside of the hand-picked examples in the article (the 5th generation computer project? Blast from the past!) there are a whole bunch of classic AI domains where real progress has been achieved in the last few decades. Here's a few: * Game-playing and adversarial search: from Deep Blue…

There seems to be only one broad paradigm which achieved basically all the AI big impact we see today: Deep learning. That is, machine learning with multi-layer neural networks with backpropagation and ReLU activation functions. Everything else seems to be mostly irrelevant or very small scale.

All the classical AI tasks I list abover are dominated by the classic approaches I listed and neural nets are completely useless in them.

Re: Artificial General Intelligence – A gentle introduction

#165

Post by YeGoblynQueenne »

307th wrote: post #71
YeGoblynQueenne wrote: post #48

>> In the past, there were some ambitious projects aiming at this goal, though they all failed. So some people like to repeat. Yet, outside of the hand-picked examples in the article (the 5th generation computer project? Blast from the past!) there are a whole bunch of classic AI domains where real progress has been achieved in the last few decades. Here's a few: * Game-playing and adversarial search: from Deep Blue…

I think the sentence in the article is fair. They're right that projects aimed at AGI failed; everything you mention are used for narrow AIs that tackle particular tasks. Also, regarding search in gameplaying, I would argue the opposite: the trend is that breaking into bigger and more difficult domains has required abandoning search. Tree search is limited to small games like board games or Atari. In more open-ended…

The sentence I quoted is from the part of the article discussing classical AI, not AGI.

>> Tree search is limited to small games like board games or Atari.

To be clear, those are board games like chess and go (and shoggi).

Re: Artificial General Intelligence – A gentle introduction

#166

Post by janalsncm »

wizofaus wrote: post #153
famouswaffles wrote: post #91

Earlier quoted context omitted.

>For me, if hook up an AI with no training to a vehicle and it drives at a human level in arbitrary scenarios Lol what human with no training is going to succeed at driving ?

But you can't even train current any current AGI candidates to drive as well as a human... In fact arguably that's the biggest thing missing from current AI models - you can't readily/reliably teach them new skills just by demonstration and explanation, only by uploading new massive training datasets (for which there's no straightforward way of knowing whether they contain enough data for the skills/knowledge to be a…

You may want to look into Alpha Zero. It learned to play chess at superhuman levels in just hours of play. The only human assistance were the rules of the game.

That wasn’t human instruction but it was arguably better since human instructions are ambiguous and imperfect. No chess grandmaster could instruct a chess engine to play better than the state of the art. Completing a task from first principles is much more powerful.

Re: Artificial General Intelligence – A gentle introduction

#167

Post by nazgul17 »

famouswaffles wrote: post #86
goatlover wrote: post #82

Earlier quoted context omitted.

If Data from Star Trek (or Eva from Ex Machina) walked out of a lab, we’d have no problem accepting that AGI had been accomplished. Or if the scenario in the movie Her played out with the Samantha OS, we’d be forced to admit not only to AGI, but the evolution of ASI as well. However, there are no such examples in the real world, and after months of overhyping ChatGPT, we still don’t have anything like Data. So it’s n…

>If Data from Star Trek (or Eva from Ex Machina) walked out of a lab, we’d have no problem accepting that AGI had been accomplished Lol no. What testable definition of general intelligence does GPT-4 fail that a good chunk of humans also wouldn't ? If you can answer this then you have a point, otherwise I really beg to differ.

I think a significant limitation is that LLMs stop learning after training is over. The large context is not really that large, and even within it, LLMs lose track of the conversation or of important details. There are other limitations, like lack of real world sensors and actuators (eg eyes and hands).

Re: Artificial General Intelligence – A gentle introduction

#168

Post by famouswaffles »

chongli wrote: post #138
famouswaffles wrote: post #128

Earlier quoted context omitted.

>Currently GPT-4 is terrible at it! GPT-4 plays tic tac toe and even chess just fine. https://pastebin.com/BSUGtxfb https://pastebin.com/83iZjHuc https://twitter.com/kenshinsamurai9/status/16625105325852917...

I’m talking about playing the game well. It can play the game but it’s bad at it. Tic-tac-toe is an excellent example game because even small children can figure out an optimal strategy to win or draw every time. https://poe.com/s/KxQMDTGMzBITGIUWDurz

I got optimal play. See the below prompt and game

https://platform.openai.com/playground/p/bWvklOt98oEl0TzxUKW...

Re: Artificial General Intelligence – A gentle introduction

#169

Post by sdenton4 »

YeGoblynQueenne wrote: post #164
cubefox wrote: post #115

Earlier quoted context omitted.

There seems to be only one broad paradigm which achieved basically all the AI big impact we see today: Deep learning. That is, machine learning with multi-layer neural networks with backpropagation and ReLU activation functions. Everything else seems to be mostly irrelevant or very small scale.

All the classical AI tasks I list abover are dominated by the classic approaches I listed and neural nets are completely useless in them.

The 'game playing' you lead with is clearly dominated by deep learning in this decade.

Re: Artificial General Intelligence – A gentle introduction

#170

Post by sdenton4 »

goatlover wrote: post #82
YeGoblynQueenne wrote: post #48

>> In the past, there were some ambitious projects aiming at this goal, though they all failed. So some people like to repeat. Yet, outside of the hand-picked examples in the article (the 5th generation computer project? Blast from the past!) there are a whole bunch of classic AI domains where real progress has been achieved in the last few decades. Here's a few: * Game-playing and adversarial search: from Deep Blue…

If Data from Star Trek (or Eva from Ex Machina) walked out of a lab, we’d have no problem accepting that AGI had been accomplished. Or if the scenario in the movie Her played out with the Samantha OS, we’d be forced to admit not only to AGI, but the evolution of ASI as well. However, there are no such examples in the real world, and after months of overhyping ChatGPT, we still don’t have anything like Data. So it’s n…

People have been arguing over whether animals are intelligent for centuries. I estimate we'll never fully settle arguments of whether machines are intelligent.
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