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Another one is levelling.
A lot of people can see a picture frame is about 0.5° out of level and their fucking eye twitches until they fix it
Me included
That’s nuts when you think about it
A lot of it is the difference between learning practically and learning theoretically. You don’t have to understand the underlying mechanics in practice to know how to keep getting the same result. Your brain doesn’t have to be doing any math, it just has to have shaken a bottle enough times to have a good comparative basis formed.
Learning to calculate the current remaining volume in a container when observing someone else shake it… that would use all that theoretical knowledge and math.
It’s like knowing how hard you have to throw an egg at a wall for it to break instead of bounce off. You do it 100 times, you just get a good feel for it. Doing all the math, and then trying to learn it practically is barely gonna affect how quickly you learn it in practice. But if you wanted to make a robot that throws it exactly hard enough without wasting any energy, practical knowledge will have almost no value, and theory and math will be incredibly valuable.
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.
That’s boring. Two ears only allow you to put the sound somewhere on a plane (the vertical one that cuts your body in half lengthwise). How do you know the ‘height’ of the sound on that plane? By utilizing the different distortions the sound goes through while being funneled through your auricle.
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If you’re about to walk into a bar with you head, or like the top of a doorpost or smt. You’ll instinctively pull back and avoid the obstacle, inches before it hurts, because your brain notice the hairs on your head moved. That’s why men who have recently gone bald, often have bumps and bruises on their head. My bald colleague told me that for him, that was the hardest thing about going bald.
Throwing and catching always amaze me. And it’s not something that everyone is ashtrays great at, for sure, but anyone can try to toss a wad of paper into the waste basket. Whether or not you make it, the calculations under the hood, happening so quickly, always astound me to think about.
Read somewhere that catching is actually dead simple, just “move towards the image of the incoming target” (I’m not talking about the arm kinematics).
There were a robot paper bin that zoomed under stuff you threw up in the air using no complicated algorithms for example.
Funnily many algos are calked on physical and chemical effects in the real workld, like splines for example were made with a thin metal bar and lead weight bending it to get the lines used in boat hull construction.
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.
If the earth were shrank down to the size of a golf ball, you could feel houses.
That seems wildly unnecessary. I can already feel houses.
We have equipment to measure down to microns, and my students often test how fine details they can feel.
I mean, most people do it across, rather than along the blade, what with the necessity of detecting a burr, which can’t usually be felt length wise. You slide along the blade, and it is sharp, if you screw up you get cut.
That doesn’t take away from what you’re saying, it’s very true, no matter which direction you’re feeling. Just normal, average fingertips can pick up stuff like that, that you’d need a microscope to see. It’s a trip!
The burr is also detectable lengthwise. When starting with a dull blade it feels smooth while sliding fingers lenghtwise. When the burr is formed, it starts to feel rough. When it feels like it’s digging into skin, it’s sharp. It’s a very subjective thing though, everybody has different fingers.
The overwhelming majority of all neurons in our body are just for controlling movement. Ironically, things like language or creativity require very little of our computing power and might be replicated by machine learning and a sufficiently beefy computer. But complex motor tasks? We’re way ahead of our current tech on that.
Yeap, I work in prosthetics and have to explain to “futurologist” on the internet that we’re never going to see advanced prosthetics that are as functional as your original limbs partly for this reason.
Proprioception is important y’all!
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