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DIGITAL CONTROL: my mother was a computer
Hayles, N. K. (2005). My Mother Was a Computer: Digital Subjects and Literary Texts. University of Chicago Press.
Balsamo, A. (1995). Technologies of the Gendered Body: Reading Cyborg Women. Durham: Duke University Press.

“Intermediations that take place across the screenic interface operate in both directions at once: we anthropomorphize the virtual creatures while they computationalize us.”
Hayles, N. K. (2005). My Mother Was a Computer: Digital Subjects and Literary Texts. University of Chicago Press.

PARAMETRICS and EMERGENCE: defining the space of possibilities

"Technologies and scientific discourses can be partially understood as formalizations i.e. frozen moments, of the fluid social interactions constituting them, but they should also be viewed as instruments for enforcing meanings" 
Haraway, D. J. (1991). Simians, cyborgs and women?: the reinvention of nature. London: Free Association Books.

TOPOLOGICAL SUBJECTIVITIES: expanding the space of possibilities

"...multiplicities specify the structure of the space of possibilities..."
De Landa, M. (2005). Intensive Science and Virtual Philosophy. Continuum International Pub Gr


The internal logics of the model versus outside conditions (pressure)

making definition part of the category, other histories of cybernatics. demonstrates non-hierarchical and dynamic. = topological subjectivity. 
shift from individual but as a group. 

situated categories

rigging is the only topological system you are allowed. non-biological. non-linear darwinism

the interface is important

challenge of authorship - computers make generating possibilities quicker. But there
simulated emergence ... it sounds so natural
inevitability

translations
Reductions - the promise that everythingcan be taken into account

in the end you want your building to stand up
performance of the output in architecture vs body

can you de-optimize a building, a body. death?

visual connectivity between spaces 

triangulation ... library of faces. 
face-recognition = pattern-recognition it does not know about faces: could be anything, now: skin
face and clouds

internal system
applied topology

a face is outside ... it is looking from the outside

how do you make a reliable topological description of the face?

'what is not working' is not about the computer power

the problem is the capture, that must be a reduction, even if it is high-res
the problem is the capture, that it must be taken

a partial image capture (needs to) do more guessing

the lower res the image, the less points it has.

what patterns could you imagine, other things to recognize

recognizing suspicious behaviour
gesture recognition

performance recognition
http://www.thisiscolossal.com/2014/10/diy-geometric-masks-by-steve-wintercroft/

http://www.evan-roth.com/photos/data/website-imgs/nothing2see-full.jpg