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.
this post was submitted on 15 Nov 2024
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And then there's the rare moment when you think they have it so you let go and it falls to the floor π
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.
Have you ever swiped on your phone, but the screen doesn't move (due to end of content, or unknowingly being an unswipable screen), and you feel your eyes jerk automatically in reflex, predicting the movement that didn't happen?
My brain is like a neural network? No way...
more like neural networks are maybe like your brain? dunno not an expert, just a feeling
Layered as well. Little bits process very specific things and simplify it for the beast.
Take shrooms and watch as the divisions between the little bits break down into absolute chaos :D
Acid, too. Dissociatives for the body as well, to some extent.
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).
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.
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!
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.
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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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.
Also masturbation might be a challenge in that scenario.
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Another one is levelling.
A lot of people can see a picture frame is about 0.5Β° out of level and their fucking eye twitches until they fix it
Me included
That's nuts when you think about it
I remember we once installed something on a beam 40' feet up. While waking through an inspection of many such things, the engineer stops, cocks his head for a second, and says "that's not quite straight"
And then it wasn't. Like a cast of manual breathing, the thing I had been frequently walking past for weeks was suddenly wrong, ever so slightly
See, I live in an old apartment. The corners aren't 90Β°, the wall a picture is hanging on is convex. When I'm lying in bed and look at the picture it looks like it's crooked but I used a level several times on it and it's as straight as can be. It's driving me insane.
This is when you set it relative to the rest of the unleveled stuff in your view to make it look level.
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But βlevel isnβt what you need. If the floor and ceiling arenβt level, itβll look wrong.
I purposefully slightly tilt most my wall hangings. I like watching guests squirm when they mention it and I do nothing
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I was always amazed at how we can catch objects in flight.
Compared to how long it takes me to calculate projectile momentum in Physics 1
Or tiny birds that can expertly navigate wind currents with an almond sized brain using real-time force feedback. The computational power at their disposal is very well optimized for what they do.
And they can even do that in sync with thousands (and even millions) of other small birds.
Birb Borg Cloud
Hummingbirds are fucking incredible. They can literally hover, fly backwards, fly inverted, fly silently, or flap their wings loud enough to generate sound waves as a mating ritual. They're like miniature f-18s dog fighting constantly.
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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
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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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.
Our bodies n brains are so cool. Think about what goes into locating a sound in space.
Edit: there's more to it but at the most basic level your brain calculates the fraction of a second difference between when one ear picks up a sound and when the other does creating a reference point based on that.
Beyond that there's been a considerable amount of research about our ability to estimate room size/material/shape while blindfolded just based on the reverberation of sounds in the space.
Oversimplified conclusion, untrained humans are really good at it.
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When sharpening knives, with practice you can tell when you are done by sliding your fingertips along (not across) the sharpened bevel. It's possible to feel imperfections measured in micrometers this way.
Worked at a machine shop for a while, it's funny how the easiest way to gauge surface finish is to run your nail trough it
At one of the places we worked at we would know when the rough cut was deep enough just by feel
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