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625 points lukebennett | 2 comments | | HN request time: 0.001s | source
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irrational ◴[] No.42139106[source]
> The AGI bubble is bursting a little bit

I'm surprised that any of these companies consider what they are working on to be Artificial General Intelligences. I'm probably wrong, but my impression was AGI meant the AI is self aware like a human. An LLM hardly seems like something that will lead to self-awareness.

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vundercind ◴[] No.42139782[source]
I thought maybe they were on the right track until I read Attention Is All You Need.

Nah, at best we found a way to make one part of a collection of systems that will, together, do something like thinking. Thinking isn’t part of what this current approach does.

What’s most surprising about modern LLMs is that it turns out there is so much information statistically encoded in the structure of our writing that we can use only that structural information to build a fancy Plinko machine and not only will the output mimic recognizable grammar rules, but it will also sometimes seem to make actual sense, too—and the system doesn’t need to think or actually “understand” anything for us to, basically, usefully query that information that was always there in our corpus of literature, not in the plain meaning of the words, but in the structure of the writing.

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hackinthebochs ◴[] No.42139888[source]
I see takes like this all the time and its so confusing. Why does knowing how things work under the hood make you think its not on the path towards AGI? What was lacking in the Attention paper that tells you AGI won't be built on LLMs? If its the supposed statistical nature of LLMs (itself a questionable claim), why does statistics seem so deflating to you?
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1. fullstackchris ◴[] No.42145571{3}[source]
Comments like these are so prevalent and yet illustrate very well the lack of understanding of the underlying technology. Neural nets, once trained, are static! You'll never get dynamic "through-time" reasoning like you can with a human-like mind. It's simply the WRONG tool. I say human-like because I still think AGI could be acheived in some digital format, but I can assure you it wont be packaged in a static neural net.

Now, neural nets that have a copy of themselves, can look back at what nodes were hit, and change through time... then maybe we are getting somewhere

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2. hackinthebochs ◴[] No.42147035[source]
The context window of LLMs gives something like "through time reasoning". Chain of thought goes even further in this direction.