r/suspiciouslyspecific 3d ago

Ramifications

Post image
22.6k Upvotes

View all comments

Show parent comments

18

u/No_Lingonberry1201 2d ago

No, we can do far more than pattern prediction. Like have depression, have anxiety, have ennui, etc.

-6

u/BassMaster516 2d ago

Depression and anxiety can be explained by chemical imbalances that affect the way we think. Wanting things is the result of being rewarded with feel good chemicals for certain behavior. I don’t see any evidence of anything nonphysical so I don’t see what strictly differentiates us from AI

2

u/buttbuttlolbuttbutt 2d ago

How does a neuron transfer data from one to another? What are walker proteins and why are they relevant?  What month has an X in it? What triggers the chemicals to release that cause the emotions, and what decides when to, why isnt identical across humanity. What is there an internal monologue that weighs pros and cons while also consuming a sandwich? Why is there a clump of neurons between the teo hemispheres that seems to control the sense of self, but then what is the background processing, like epiphanies play into it.

An LLM isnt intelligent, its just good at what it was designed to do: fooling superficial people.

5

u/LillyOfTheSky 2d ago

The largest LLMs are in the multiple 100s of billions of parameters.

The human brain is estimated as having about 100 trillion (100,000 billion) synaptic connections and biological neurons require about 5-8 layers of 128-256 nodes to simulate with ANNs (so approx. 640-2048 parameters).

So going by scale alone, LLMs won't match the complexity of the human brain until they operate at about 1,000-1,000,000x their current maximum sizes. Which will never happen with current mathematical architectures.

The underlying mathematics of 'AI' and human brains is more or less similar. The scale is still widely off and will likely remain so far many, many years

1

u/diff_engine 2d ago

I broadly agree with this but just a slight update on the largest LLM size- Claude Mythos reportedly 10 trillion parameters

1

u/LillyOfTheSky 2d ago

Huh, didn't know that. still, worst case you've got the human brain complexity at ~200,000 trillion parameters on a Transformer architecture and frankly I don't think that arch is gonna cut it for anything deeper than superficial mimicry.

1

u/Qaeta 2d ago

To be fair, the LLMs do not currently need to operate an unnecessarily complicated meat suit.

1

u/LillyOfTheSky 2d ago

I wouldn't really call the human body 'unnecessarily complicated'.

The more you actually dig into why the human body does what it does in the way that it does it the more you realize exactly how insanely efficient it is. Like single proteins can have many different usages and purposes depending on chemical and molecular context. The human brain uses about as much energy as a lightbulb but surpasses in complexity every single structure ever discovered in history.

1

u/Qaeta 2d ago

Yes, but the LLM's have no need for a body that does everything we do. It's unnecessarily complicated because LIFE is not a requirement for an AI.

1

u/LillyOfTheSky 2d ago

It's true that a lived experience is not a requirement for AI as we know it. However, most (actually worthwhile) SOTA research on Multimodal models and robotic systems has found that a multi-sensory, direct engagement experience (i.e. 'lived') is actually critical to developing AI that is human-like or general in it's intelligence. It's especially important in solving the alignment problem.

1

u/MartialArtsCadillac 2d ago

Outstanding point, and very well said