Jon -
Great and timely framing of the meta-question.
I've been reading David Abram's "Becoming Animal" which among many other
things draws clear attention to the myriad ways that every organism is
defined not just "socially" or even "nutriently" by it's complex
embedding in an ecosystem or something more robust in it's implications...
Clocks, IMO are such a good symbol of "engineering" much the way I feel
that the "Lever" is a good standin for all technology?
Switching from nouns (clocks) to verbs (coupled resonance?) maybe throws
a new light on the question.
- Steve
PS. There are a handful of folks here I'd recommend Abram to. Spell of
the Sensous - circa 1995 and Becoming Animal - 2007ish ...
reminiscent of Glen's various points about how deeply/implicitly
interconnected everything is (or that we default to reductionism to a
fault?) and DaveW's general East/West Rational/Mystic dualities and
perhaps SGs catholic/Catholic Immanence/Transcendence? For those who
don't read, there is an audiobook version.
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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