[FRIAM] Clocks

[Marcus Daniels]

Claude gives 7 categories for consideration of time, and 9 categories for the 
physical definition of time.   It gives this pseudocode for implementing an 
atomic clock.

def atomic_clock():

    while True:

        atoms = generate_atom_beam()

        selected_atoms = state_selection(atoms)

        excited_atoms = apply_microwaves(selected_atoms)

        state_change = detect_state_changes(excited_atoms)



        if state_change != expected_change:

            adjust_microwave_frequency()



        current_time = convert_frequency_to_time()

        output_time(current_time)



        wait(update_interval)



From: Friam <friam-bounces at redfish.com> On Behalf Of Jon Zingale
Sent: Sunday, July 28, 2024 10:19 AM
To: friam at redfish.com
Subject: [FRIAM] Clocks



Reflecting on recent conversations (both here and abroad), Michael Levin's 
developments of polycomputing, and in preparation for my new role as career 
coach to a GPT model, I have come to wonder:

How might one productively set out to architect an unsupervised learning 
machine capable of discovering what all can be reliably used as a clock?

I am imagining a machine with sensory organs that is able to (though not 
necessarily) generalize its learnings. I imagine it successful if it decides 
to not rely on a broken clock, nor an image of a clock face, nor one 
programmed to move its arms at random. I imagine it is successful if it learns 
to track the sun, the circadian rhythms of animals or plants, if it recognizes 
the masing pulses of water in star forming galaxies, cellular clocks, etc...

Would such a machine necessarily be/have a clock itself?

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