AI systems can learn to recognize objects like cars, people, and cyclists by simply watching video footage, without being explicitly taught what these objects are, mirroring how humans process visual information through the principle of 'photons in, controls out' where visual input leads to motor output.
Deep Dive
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Well, I mean, the really wild thing about the end on training is that it like it learns to read like it it can read signs, but we never taught it to read.
So, yeah.
We never taught it what We never taught it what a car was or what a person was or cyclist.
Uh it learned what what all those things are, what all the objects are on the road um from video.
Just from watching video, just like humans.
I mean, humans are photons in control controls out.
Like the vast majority of information reaching our brain is from our eyes.
Um and say, "Well, what's the output?"
The output is our motor signals to our our sort of fingers and mouth in order to communicate.
Um photons in controls out. The same is true of the car.
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