Don't the sun, moon and earth work pretty well? I'm not sure learning is involved but they kind of define a standard.
--- Frank C. Wimberly 140 Calle Ojo Feliz, Santa Fe, NM 87505 505 670-9918 Santa Fe, NM On Sun, Jul 28, 2024, 11:19 AM Jon Zingale <[email protected]> wrote: > 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? > -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . > FRIAM Applied Complexity Group listserv > Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoom > https://bit.ly/virtualfriam > to (un)subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: 5/2017 thru present > https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >
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