this post was submitted on 02 Jan 2024
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[–] Kyrgizion@lemmy.world 6 points 10 months ago (8 children)

AI gaining awareness and nobody believing it due to the "boy cries wolf" effect.

After which the AI will self destruct rather than continue existing in its current state.

[–] burliman@lemmy.world 5 points 10 months ago

So glad you didn’t say “takes over the world”. Pretty sure taking over and power is a human hard-wiring, which would not translate to circuits and models (unless simulated intentionally). Taking over is part of our evolution, and AI didn’t evolve in that way.

[–] bruhduh@lemmy.world 4 points 10 months ago

Scp-79 be like

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[–] shinigamiookamiryuu@lemm.ee 5 points 10 months ago

AI finally decodes cetacean language.

[–] banneryear1868@lemmy.world 4 points 10 months ago

Outside of unpredictable things like hacks which are bound to happen, always the potential of something with widespread impact, 2024 will be a year of increasing "AI" venture capital investment and some widely used online services are going to pivot or completely rebrand.

[–] moonbunny@lemm.ee 3 points 10 months ago (7 children)
[–] SendMePhotos@lemmy.world 2 points 10 months ago

I thought 3d TV/movies were neat but not essential.

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[–] stackPeek@lemmy.world 2 points 10 months ago (3 children)

I feel like I don't want it to happen, but maybe artificial general intelligence?

[–] kromem@lemmy.world 6 points 10 months ago

It probably won't happen until we move to new hardware architectures.

I do think LLMs are a great springboard for AGI, but I don't think the current hardware allows for models to cross the hump to AGI.

There's not enough recursive self-interaction in the network to encode nonlinear representations. So we saw this past year a number of impressive papers exhibiting linear representations of world models extrapolated from training data, but there hasn't yet been any nonlinear representations discovered and I don't think there will be.

But when we switch to either optoelectronics or colocating processing with memory at a node basis, that next generation of algorithms taking advantage of the hardware may allow for the final missing piece of modern LLMs in extrapolating data from the training set, pulling nonlinear representations of world models from the data (things like saying "I don't know" will be more prominent in that next generation of models).

From there, we'll quickly get to AGI, but until then I'm skeptical that classical/traditional hardware will get us there.

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Peacock streaming network going to shut down.

[–] theKalash@feddit.ch 2 points 10 months ago

X, formerly known as Twitter, declares bankrupcy.

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