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<p>Jon -</p>
<p>Great and timely framing of the meta-question.</p>
<p>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...</p>
<p>Clocks, IMO are such a good symbol of "engineering" much the way
I feel that the "Lever" is a good standin for all technology?<br>
</p>
<p>Switching from nouns (clocks) to verbs (coupled resonance?) maybe
throws a new light on the question.</p>
<p>- Steve</p>
<p>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.<br>
</p>
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style="font-family:verdana,sans-serif;font-size:small;color:#333333">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:<br>
<br>
How might one productively set out to architect an
unsupervised learning machine capable of discovering what all
can be reliably used as a clock?<br>
<br>
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...<br>
<br>
Would such a machine necessarily be/have a clock itself?<br>
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