this post was submitted on 15 Nov 2024
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Science Memes

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[–] milicent_bystandr@lemm.ee 53 points 6 days ago (1 children)

Not advanced maths per se; neural networks are amazing! Fuzzy matching based on experience - taken to an incredible level. And, tuneable by internal simulation (imagination).

[–] HereIAm@lemmy.world 22 points 6 days ago (3 children)

Don't be fooled to think computer neural networks is how the brain is structured. Through out history we've always compared the brain to the most advanced technology at the time. From clocks, to computers with short and long term memory, and now to neural networks.

[–] milicent_bystandr@lemm.ee 10 points 6 days ago

That is a good point, though the architecture of computer neutral networks is inspired by how we think the brain works, and if I understand correctly there is some definite similarity in the architecture.

Lots of difference though, still!

[–] Zementid@feddit.nl 6 points 6 days ago* (last edited 6 days ago) (1 children)

I would guess that every statement made is kind of true. It is a clock, a computer and a LLM,...

I would even go as far as LLM is the closest to a functioning brain we can produce from a functional perspective. And even the artificial brains are to complex to understand in detail.

[–] milicent_bystandr@lemm.ee 4 points 6 days ago (3 children)

I reckon we can get a lot closer than an LLM in time. For one thing, the mind has particular understanding of interim steps whereas, as I understand it, the LLM has no real concept of meaning between the inputs and the output. Some of this interim is, I think, an important part of how we assess truthfulness of generated ideas before we put them into words.

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[–] Kolanaki@yiffit.net 52 points 6 days ago (9 children)

The second thing about microslippage is why I, even though I would say I'm transhumanist, would only ever go full cyborg if the robot parts had a sense of touch.

I don't wanna pet my dog and not only not feel their fur, but also end up crushing them with my super strength.

[–] Swedneck@discuss.tchncs.de 1 points 3 days ago

i feel like being objectively better than your body is a pretty fundamental requirement for transhumanism, like generally what's shown as the ideal transhumanist body is a nanomachine swarm that can just make precisely whatever you want at any moment, you can be ostensibly human one moment and then turn into a fucking jet plane and go to the other side of the world and become human again to traipse through the jungles.

[–] Dasus@lemmy.world 7 points 6 days ago

Also masturbation might be a challenge in that scenario.

[–] KinglyWeevil@lemmy.dbzer0.com 7 points 6 days ago (1 children)

Also the ability of mirror neurons to watch someone do a thing, then conceptualize and execute it with your body is extremely interesting.

[–] Kolanaki@yiffit.net 3 points 6 days ago

I've seen some pretty awesome prosthetics that are controlled the same way you would use your limbs before they were lost by connecting to nerves; but they still don't feel anything. At least, not in the sense that the appendage itself is sending signals to your brain for it. There is still phantom sense/pain. You can get a false sense of touch in VR, too.

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[–] iAvicenna@lemmy.world 35 points 6 days ago* (last edited 6 days ago) (4 children)

I always imagine it more like neural networks. simply based on a lot of training and experience. As an example think of times when you step onto a non moving escalator. Your mind definitely knows its not moving but you still can't defeat the trained expectation of jerk.

[–] JackbyDev@programming.dev 22 points 6 days ago* (last edited 6 days ago) (1 children)

My brain is like a neural network? No way...

[–] iAvicenna@lemmy.world 9 points 6 days ago (1 children)

more like neural networks are maybe like your brain? dunno not an expert, just a feeling

[–] Swedneck@discuss.tchncs.de 1 points 3 days ago

neural networks are like how small parts of your brain look like they work

[–] PsychedSy@lemmy.dbzer0.com 4 points 6 days ago (1 children)

Layered as well. Little bits process very specific things and simplify it for the beast.

[–] NikkiDimes@lemmy.world 4 points 6 days ago (1 children)

Take shrooms and watch as the divisions between the little bits break down into absolute chaos :D

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[–] thedeadwalking4242@lemmy.world 26 points 6 days ago (2 children)

A lot of it is less math and more just approximations using old data, just fitting a complex statistical model neural nets suck ass at math

[–] scarilog@lemmy.world 4 points 6 days ago

Yeah, your brain is not doing projectile motion equations in real time, it's the same process as teaching a neutral network to approximate a parabola.

Don't get me wrong, it's incredibly impressive that this prediction in our brain requires the visual processing of data from eyes to identify an object flying through the air, moving our hand in a perfect intercept course to catch it. All without having to have a ton of data points to 'train' on.

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[–] Emerald@lemmy.world 13 points 6 days ago* (last edited 6 days ago) (1 children)

I always thought about how interesting it is that handing things to people is so reliable. We just kind of know exactly when the other person has grabbed something enough for us to let go.

[–] NikkiDimes@lemmy.world 17 points 6 days ago

And then there's the rare moment when you think they have it so you let go and it falls to the floor 😭

[–] tigeruppercut@lemmy.zip 21 points 6 days ago

Most people who've been juggling for awhile don't need too much additional practice to be able to do at least a few blindfolded catches just because of how consistent your throws get after awhile.

The other thing that's interesting is how pattern recognition in flying things people aren't generally used to seeing develops. I used to play ultimate, and when people start learning how a frisbee flies they might be susceptible to chasing it down by following along the path of the disc rather than moving directly to where it's going to end up. This is sometimes called dogging the disc because (many) dogs do the same thing. But then you learn to "read" the disc and you can tell by the flight path and angle of the disc where it's going to land.

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