5 ms·
But, singularity is still imminent. Right? Where on the spectrum of completely useless/no AI to singularity are we at?
by bugbuddy 2y ago
But, singularity is still imminent. Right? Where on the spectrum of completely useless/no AI to singularity are we at?
- netdevnet 2y agoThe singularity is always just around the corner. It's like a whale in a casino. The big reward is always just around the corner. You need to drop a few more coins and soon you will be rich
- bckr 2y agoIt’s gonna require N more hype cycles (bearing in mind that usefulness is the expected endpoint of the hype cycle)
- Terr_ 2y ago> (bearing in mind that usefulness is the expected endpoint of the hype cycle) I think for the people doing it, the expected endpoint is more about raising the price of shares they hold until they've been sold.
- bckr 2y agoHype cycles ride on real progress that’s first blown out of proportion, then under-appreciated. LLMs are still magic AF. We are just so tired of hearing about them and how they’re going to change everything.
- alsetmusic 2y agoConsidering that what is currently passed as AI is really just statical probability of string words together that is completely unable to apply logic or reason… we ain't even close.
- fwipsy 2y agoI don't know if we ever will get a singularity, but if we do the last comment before we're obliterated will be something along these lines.
- sqeaky 2y agoI like the three comments above this one all seem to massively disagree or at least give off argument energy, but they all seem totally correct and don't directly contradict each other.
- heavensteeth 2y agoAnd atheists will speak similarly of the rapture before it happens. Repent!
- falcor84 2y agoWhen they said repent, repent I wonder what they meant
- babkayaga 2y agostatisticsl probability in which distribution? stringing words is not at all how gpt works.
- soulofmischief 2y agoI'd recommend educating yourself on the last few years of neural network development before spreading misinformation. LLMs have been shown to be capable of embedding logic and reasoning. There is nothing preventing a sequence generator from learning stochastic reasoning skills. Modern LLMs don't even just output language tokens. The latent information stored in the hidden layers is far more abstract than just language.
- turtlesdown11 2y agodid you not read https://arxiv.org/pdf/2410.05229 https://arxiv.org/pdf/2410.05229 "We hypothesize that this decline is due to the fact that current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data."
- soulofmischief 2y agoThey've presented a hypothesis warranting further study. Here is an article where a model's learned ability to carry out modular addition is recovered. https://arxiv.org/abs/2301.05217 https://arxiv.org/abs/2301.05217 As you can see, the jury's still out.
- joquarky 2y agoDidn't Godel demonstrate that language can only approximate reality?
- soulofmischief 2y agoLLMs are a special type of transformer model, however several recent models have been multimodal, allowing for a variety of input and output type. So the question is if a neural network can approximate reality, not LLMs. Though really, all embedded models of reality are approximate by nature, and based on stochastic empirical data. The real tradeoff with probability-based neural networks is whether a rigid algorithmic approach or a more flexible, but stochastic, approach solves the problem at hand.
- adastra22 2y agoThe singularity ain't real, buddy.
- lupusreal 2y agoWhat is singularity anyway? I thought it was just some hypothetical point in time where making accurate predictions about the future becomes infeasible.
- michaelt 2y agoThe singularity is a sci-fi end-of-days story. It speculates that at some point we'll invent an AI that's about as smart as a human, and smart enough to design a better version of itself. Then a week later it'll come up with a version of itself that's twice as smart. A week later that version will come up with a version that's twice as smart again, making it 4x as smart as a human. A week after that, it'll come up with a version that's twice as smart again, 8x as smart as a human. And so on. A year later it'll be a trillion times smarter than a human. The AI will then either solve all our problems, invent fusion power and faster-than-light travel, and usher in a Star Trek style post-scarcity world of infinite resources and luxury, or it'll take over and create a Terminator style oppressive dystopia where the few surviving humans survive on rats we roast over a barrel in our underground bunker.
- dr_dshiv 2y agoAt geological or biological timescales, that’s what the emergence of language did. AI can all be viewed as part of the accelerating returns of language…
- cdchn 2y agoWe'll get the singularity within 2 years of perfecting self-driving cars.
- haliskerbas 2y agoOnly a few thousand days away. /s