>“That language models can do these sort of things was never discussed in any literature that I’m aware of," I had previously the expectation that unpredictable emergent behavior would exist in any sufficiently complex system? Based on layman's readings in chaos and complexity theory.
Same here. I don't think it's surprising, but depending on where you say it, you'll find people insisting that this can't be possible. I think a lot of our widely held cultural beliefs on this front have been informed by academic philosophy from the 60s, 70s, and 80s. In particular, I would go do far as to say that Hubert Dreyfus, author of the book "What computers can't do" and frequent friendly adversary of Daniel…
Unpredictable abilities emerging from large AI models
81–90 of 326 posts
Re: Unpredictable abilities emerging from large AI models
#82There is an idea bouncing around my brain for a pipe-dream science fiction book I could write, about the rise of the first truly sentient (or sentient-appearing) AI & its effects on the world. It is beginning to get to the point where I am considering whether I need to actually start writing this book before this "sci-fi" concept becomes a mundane reality.
Re: Unpredictable abilities emerging from large AI models
#83Earlier quoted context omitted.
Unlimited fully tailored netflix and steam.
The Dopamine Machine.
Re: Unpredictable abilities emerging from large AI models
#84Earlier quoted context omitted.
Can you elaborate on fundamental limits?
there is no channel for uncertainty. LLMs of this type will just start making up shit when they dont know something. because they simply generate the most probable next token based on previous x tokens. this is not fixable. this alone makes these LLMs practically unusable in vast majority of real-world applications where you would otherwise imagine this tech to be used.
Re: Unpredictable abilities emerging from large AI models
#85Earlier quoted context omitted.
I guess you perception of society is severely limited if you think a fancy autocomplete is capable of changing every aspect of it.
Funny- That’s like saying the iPhone is a nothingburger. Who would buy such thing right? Or the internet? Who’d even want a computer at home to talk to other computers. This is going to infiltrate every text-based tool. Email, social media, text. Speech and video already incoming.
Re: Unpredictable abilities emerging from large AI models
#86Earlier quoted context omitted.
Well, it seems like the answer to what to do with all the useless people. Some had said drugs and video games, but I’m sure that custom VR porn dens will work too.
Give me some beer and custom porn. I will still find some time to come to HN and remember the times when programmers were useful.
Re: Unpredictable abilities emerging from large AI models
#87This caught my attention as I found it implausible: > One DeepMind engineer even reported being able to convince ChatGPT that it was a Linux terminal and getting it to run some simple mathematical code to compute the first 10 prime numbers. Remarkably, it could finish the task faster than the same code running on a real Linux machine. Following the link, there's a screenshot to a screenshot [0] of a code-golf solutio…
Re: Unpredictable abilities emerging from large AI models
#88>“That language models can do these sort of things was never discussed in any literature that I’m aware of," I had previously the expectation that unpredictable emergent behavior would exist in any sufficiently complex system? Based on layman's readings in chaos and complexity theory.
Additionally keep in mind emergent behavior is a very rare occurrence in even the most complex software projects. I mean it's common if you count "bugs" as emergent behavior. But emergent behavior that is a feature who's origins are not completely understood? That is extremely rare.
Re: Unpredictable abilities emerging from large AI models
#89This caught my attention as I found it implausible: > One DeepMind engineer even reported being able to convince ChatGPT that it was a Linux terminal and getting it to run some simple mathematical code to compute the first 10 prime numbers. Remarkably, it could finish the task faster than the same code running on a real Linux machine. Following the link, there's a screenshot to a screenshot [0] of a code-golf solutio…
The LLM didn't run the code, it tried to predict the output based on its knowledge of python and primes.
Re: Unpredictable abilities emerging from large AI models
#90Earlier quoted context omitted.
Can you elaborate on fundamental limits?
I’m guessing one is data. The limit would be once you’ve trained a LLM on all public (or even private) data. Sure you can still make some improvements or try to find some additional private data but still, a fundamental limit has been reached.