syn·site
( a ) neologism: syn-site is a neologism for a contemporary understanding of site as entangled and mutable. It offers legs (utility) for both a part (JF) and a whole (non-zero others).
( b ) gesamtkunstwerk: syn-site is one person's act of tilting at windmills syn-sites as a gesamtkunstwerk.
( c ) smeerp¹: syn-site is calling-a-nonsite-a-smeerp.
( d ) smeerp²: non-site, in turn, was calling-synecdoche-a-smeerp.
( e ) smeerp³: calling a rabbit a smeerp is a problem.
( f ) ...is a stretch...
( g ) ...but art is reaching, stretching, gesturing; is making connections to create constellations.
( h ) some combo synthesis
( i ) related yet sublated-or-other: parasite, hypersite, hyperobject, nonspace, nonplace, site/non-site, synsight, syncite, knotsite, web-site, metaverse, smeerp, tangle.
( a ) neologism: syn-site is a neologism for a contemporary understanding of site as entangled and mutable. It offers legs (utility) for both a part (JF) and a whole (non-zero others).
( b ) gesamtkunstwerk: syn-site is one person's act of tilting at windmills syn-sites as a gesamtkunstwerk.
( c ) smeerp¹: syn-site is calling-a-nonsite-a-smeerp.
( d ) smeerp²: non-site, in turn, was calling-synecdoche-a-smeerp.
( e ) smeerp³: calling a rabbit a smeerp is a problem.
( f ) ...is a stretch...
( g ) ...but art is reaching, stretching, gesturing; is making connections to create constellations.
( h ) some combo synthesis
( i ) related yet sublated-or-other: parasite, hypersite, hyperobject, nonspace, nonplace, site/non-site, synsight, syncite, knotsite, web-site, metaverse, smeerp, tangle.
SYN (along with, at the same time | from Greek SYN, with | ~SYNTHETIC) + SITE (N: point of event, occupied space, internet address; V: to place in position | from Latin SITUS, location, idleness, forgetfulness | ~WEBSITE ¬cite ¬sight), cf. SITE/NON-SITE (from Robert Smithson, A PROVISIONAL THEORY OF NONSITES, 1968)
...like a piece of sensitive photographic paper, waiting passively to feel the shock of impression. And then I was quivering like a leaf, more precisely like a mute hunk of appetitional plasm, a kind of sponge in which the business of being excited was going on, run through by a series of external stimuli: the lane, the man, the pale light, the lash of silver – at the ecstatic edge of something to be known.
...like a piece of sensitive photographic paper, waiting passively to feel the shock of impression. And then I was quivering like a leaf, more precisely like a mute hunk of appetitional plasm, a kind of sponge in which the business of being excited was going on, run through by a series of external stimuli: the lane, the man, the pale light, the lash of silver – at the ecstatic edge of something to be known.
...like a piece of sensitive photographic paper, waiting passively to feel the shock of impression. And then I was quivering like a leaf, more precisely like a mute hunk of appetitional plasm, a kind of sponge in which the business of being excited was going on, run through by a series of external stimuli: the lane, the man, the pale light, the lash of silver – at the ecstatic edge of something to be known.
Seeing is superseded by calculating probabilities. Vision loses importance and is replaced by filtering, decrypting, and pattern recognition.
Seeing is superseded by calculating probabilities. Vision loses importance and is replaced by filtering, decrypting, and pattern recognition.
Seeing is superseded by calculating probabilities. Vision loses importance and is replaced by filtering, decrypting, and pattern recognition.
aerial perspectives
aerial perspectives
aerial perspectives
aerial perspectives
It is not the eye which sees but the body as a receptive totality.
It is not the eye which sees but the body as a receptive totality.
It is not the eye which sees but the body as a receptive totality.
It is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility.
It is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility.
It is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility.
