system
Given the following post, respond as if you're commenting on Reddit:
human
Why can't we make a camera that captures images that look the same as how we see them?
gpt
What you should be asking is, "why can't we make a camera that captures images exactly how we see them and reproduce them in a medium which is visually indistinguishable from the original scene?"

Designing a camera that captures information identical to the photoreceptor layer of your retina is simply a matter of engineering four sensors with the same sensitivity vs wavelength functions as your photoreceptors.  This isn't perfectly accurate due to temporal effects, but suffices as a first approximation.  Difficulty of engineering aside, this is perfectly feasible from a theoretical standpoint.

Reproduction, on the other hand, is a much more daunting task.  Current display or printing methods rely on representing different perceptual hues, which are the result of activation levels for each of three different cones, as the weighted sum of three or more components, each of which has its own distinct spectral characteristics.  Disregarding rods for the moment due to their relative absence in the fovea, the implication of this is that each has a single, 3-dimensional response vector which represents the activation of your different photoreceptors to that particular component.  You might think that any three components with linearly independent response vectors would suffice to produce the full gamut of colors that we can observe, but this fails due to the fact that we cannot have negative coefficients when mixing.  Because of the overlap of the wavelength response curves for different cones, it is very difficult to choose a limited number of components that can reproduce any photoreceptor response.  For example, violet is impossible to reproduce in the RGB color space.  Two solutions to this would be to either to design a technology capable of reproducing exact spectra in the visible range, or to use direct stimulation of photoreceptors, which would in effect give you the component bases [1, 0, 0], [0, 1, 0], and [0, 0, 1].