algorithmic text as beyond text

"today to write theory means to write code"

Galloway & Thacker, The Exploit

theorization and its mode of experimentation. I will come back on this shortly, it is a field that we would like to exploit by putting forward an interdisciplinary web platform. The goal is not to destroy IT but to push IT into a hypertrophic state, further than IT is meant to go... this is resistance through an active experimentation

Architecture of Consequence

"Architecture of Consequence proves that any notion that architecture should be an "expression of its time," or should do no more than express the vanity of its commissioners, pales into insignificance when compared to its tremendous potential for resolving urgent societal problems".

architect 3.0

citizen architect or if you prefer architect 3.0

I will have to stick with my old man... at some point Peter says... "I do not believe that architecture is about makin' a better world! architecture is about challenges, changes is about suggesting a truly open future"

cause if we believe that is about making a better world then we have to define what is "better", to reveal our moralistic principles but at the same time we need to avoid not to be trapped in an anthropocentric approach... a "better" world maybe is not exactly what this trailer would like to promote... this is a homeostatic view of world that through entropy will die soon or latter...

thus we need to free our ethics from moralistic principles and to embrace the ethics of emergence... to be able to mutate and change by dynamically forming networks or better heterogeneous assemblages that would proliferate world in a truly open and unpredictable future where afresh will be ready to affect and be affected, to challenge and be challenged... this is what architect 3.0 needs to take under consideration. he or she needs to become an ant not a God, a system designer and not a MegaEgo, an architect that constructs distributed, ill defined, open, participatory systems.

from the other hand, I might be completely wrong... well, that is part of the risk I have decided to take...

Spatial Thinking

Spatial Thinking:: Architecture and Neuroscience [do not] communicate

Olafur Eliasson: Space is Process

Space

[leave a space]

do we mean the same thing...?

Space is one of these notions that you can find in thousand different contexts.

space alone, space as opposed to time or space in spatiotemporal continuum...?

there is no clear definitions of space... everytime that someone tries to articulate one it slips, moves, mutates. It doesn't stay still, it is in a continuous construction, it is always in becoming.

So, I will turn back to an artist and not an architect to help me formulate an understanding of space. Olafur Eliasson(2008) will agree that “it is crucial to recognize [space's] temporal aspect. Space does not simply exist in time; it is of time.” It is this continuous becoming of the space that affects and is been affected by users' actions that architects were trying to express in today's twofold workshop in Bartlett at UCL.

confront the unexpected

"Many people refuse to be absorbed by something they don’t know. Žižek talks about Kinder eggs. Kinder eggs were forbidden in California in the mid-1960s because it was a total disruption of American life where everything needed to be predictable, and here you didn’t know what was inside. You could buy cocaine but not Kinder eggs because they thought it could corrupt the young. Kinder eggs were made by the Germans after the war to reconnect to the unknown and to force the kids away from the lazy period where everything was free. It’s a beautiful articulation of knowledge."

Francois Roche in a conversation with graphic novelist Warren Ellis, moderated by blogger Geoff Manaugh, at the Architectural Association, London, 29 May 2009.

CECA | phase one jury

MSc Computing and Design v.0910

CECA [Centre for Evolutionary Computing in Architecture]

University of East London

Unsupervised

"Being able to train an artificial neural network to recognize patterns or features in data sets using supervised learning algorithms is impressive. Creating networks which find patterns in data sets without supervision is amazing."

David Grimshaw here

picture: Dissociated culture of rat hippocampal neurons via /www.greenspine.ca