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==References ==
==References ==


Berger, J., 2008. Ways of Seeing, 01 edition. ed. Penguin Classics, London.
====Berger, J., 2008. Ways of Seeing, 01 edition. ed. Penguin Classics, London.====


Bridle, J., 2018. New Dark Age: Technology and the End of the Future. Verso, London ; Brooklyn, NY.


Designing Programmes, 2016.


Flusser, V., 2011. Into the Universe of Technical Images, 1 edition. ed. Univ Of Minnesota Press, Minneapolis.
====Bridle, J., 2018. New Dark Age: Technology and the End of the Future. Verso, London ; Brooklyn, NY.====


Gere, C., 2008. Digital Culture, 2nd Revised edition edition. ed. Reaktion Books, London.
In the book »New Dark Age« from 2018, James Bridle explains how technology has changed influenced out life so far and how it will change our future.  


Müller, A.C., Guido, S., 2016. Introduction to Machine Learning with Python: A Guide for Data Scientists, 1 edition. ed. O’Reilly Media, Sebastopol, CA.
Bridle explains how technology has transformed but our understanding hasn't. He states, that we are deeply enmeshed in our technological systems therefore it is not possible for us to think outside of them. This puts us in a rather complicated and weird position. 
By explaining the example of weather forecasting he investigates on how technology tries to represent the reality and how it fails: Since weather forecasting started out, we gathered more and more data, built ever growing models of our world and invented better algorithms. But this models start to fail. This becomes obvious when looking at the predictions for weather which become ever worse, due to climate change. 
From big data humans try to create the perfect model of the world. This makes us believe that we know ever more about our world, but instead the opposite is the case. We look only at the models and forget the look at the real world. And furthermore Bridle states that these models are overwhelming and demoralising due to their complexity.
This is how due to Bridle we might enter a new dark age, where we start to know less and less about the world, which is not necessary bad.
 
====Gerstner, K., 1964. Designing Programmes.====
 
The book Designing Programs by Karl Gerstner was published in 1964.
Gerstner proposes a different framework for problem solving. 
Instead of solving a problem for a single case, he is thinking of programs that solve problems for a variable number of times.
He is defining multiple definitions of the »program« and how it generates various outcomes dependent on its outcome and algorithm.
»To describe to problem is part of the solution«(p.20). In the following he is describing a series of works (specifically logos) that follow a very simple systematic. He traces back the idea of an algorithmic design to old Cathedra churches, where the decoration is based on »an exact program of constants and variants«. Therefore all the windows are different and full of variation while maintaining the original style. Gerstner tries to describe this program next to the image of the windows with his own words (based on written language). He does so with all the following examples. 
The chapter «integral typography« Gerstner analyses type as a mathematical system that can be described by programs.
He explains the possibilities of creating a very complex system based on simple rules, with an example of the simple devision of a square. With a form simple as this it would be possible to use the intersections, lines, surfaces, diagonals etc… to build generative patterns. 
He is trying to take existing design principles, like the grid, and describes them as a program itself – generating a very complex, transformable grid which he calls »mobile grid«. Next Gerstner brings up the concepts of programs as literature, where he is generating poems based on very simple rules. The technic he uses is not based on a real algorithm as we know it. It is not executed by an computer, but rather executed by a human, who selects from a list of »commands«. (In a very OuLiPo-ian way) The same thing can be done with music or photo-collages, as Gerstner describes. Furthermore he dives into 3D applications, also for typography and last but not least he also relates his programatic idea to the selection of colors, creating color-systems.
I think that what Gerstner describes is a very interesting approach in seeing the world as a program – but one might also wonder: is the world always reducable to a simple program? This is also something that James Bridle criticises in his recent book new dark age. We only try to describe reality with algorithms, we are creating models of the world, while we forget looking at the real world. Despite this the programmatic approach like we see it in Gerstners work or also in the OuLiPo group is a way to find new interpretations or representations of traditional matter, like literature, music or art.
 
 
====Flusser, V., 2011. Into the Universe of Technical Images, 1 edition. ed. Univ Of Minnesota Press, Minneapolis.====
 
The technical image is very different from the traditional image.
The image is embedded into cultural context, especially what he considers as the traditional image, which is mostly composed out of symbols. These symbols need the deciphered, in order to understand the meaning of the image.
Flusser claims that humans abstract more and more. He lists 5 steps of cultural history that lead to the technical image in the end. This shall also explain the difference between the what Flusser calls traditional and technical image.
First: Animals and primitive People embedded into a four dimensional time-space continuum. »It is the level of concrete experience.« (p. 6)
Second: The humans that preceded us. The human is interacting with objects and shaping them.
Third: The human that is able to imagine and translate it into a »imaginary, two-dimensional mediation zone« (p. 6): the traditional image (cave paintings).
Fourth: The stage of »understanding and explanation, the historical level« based on the invention of linear text.
Fifth: »This is the level of calculation and computation, the level of technical images«. The image is (compared to the traditional image) not based on imagination anymore, but it is founded on the power by the automation of an apparatus.
Flusser explains this cultural history as an ongoing abstraction, an alienation of the human from the concrete.
 
While going through all those steps as stated above, Flusser underlines a loos of dimensions. When the first one was still placed in a 4 dimensional space, the second one already reduces that reality to a 3 dimensional one, the one of the object. The 3rd one takes place in a two dimensional image and the 4th is reduced to a single dimensioned line of text. Now, in the last step we will find ourselfs in a zero-dimensional representation of reality that is based on points (the pixel). Particles that shape swarms.
 
Flusser disagrees with the idea that a photograph represents it’s photographed object in an unchanged way.
The world is becoming to abstract and thus unlifeable. »To live, one must try to make the universe and consciousness concrete.« (S.15)
 
»a technical image is: a blindly realized possibility, something invisible that has blindly become visible.« (S.16)
 
»So the basis for the emerging universe and emerging consciousness is the calculation of probability.« (p.17)
 
 
He formulates the idea of the apparatus and the human as part of its functions »That is to say, then, that not only the gesture but also the intention of the photographer is a function of the apparatus.« (p. 20)
 
The technical image is a collaboration between apparatus and human being. Technical image needs to be programmed and then deprogrammed. It is to turn particles into and surface. (While it is not a real surface, only a raster / simulation of it)
So the meaning of the technical image is radically different from the traditional.
 
Next he is talking about keys (the instruments that influence the particles, that make them graspable again)
 
 
====Gere, C., 2008. Digital Culture, 2nd Revised edition edition. ed. Reaktion Books, London.====
 
 
 
====Müller, A.C., Guido, S., 2016. Introduction to Machine Learning with Python: A Guide for Data Scientists, 1 edition. ed. O’Reilly Media, Sebastopol, CA.====

Revision as of 23:34, 2 October 2018

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References

Berger, J., 2008. Ways of Seeing, 01 edition. ed. Penguin Classics, London.

Bridle, J., 2018. New Dark Age: Technology and the End of the Future. Verso, London ; Brooklyn, NY.

In the book »New Dark Age« from 2018, James Bridle explains how technology has changed influenced out life so far and how it will change our future.

Bridle explains how technology has transformed but our understanding hasn't. He states, that we are deeply enmeshed in our technological systems therefore it is not possible for us to think outside of them. This puts us in a rather complicated and weird position. By explaining the example of weather forecasting he investigates on how technology tries to represent the reality and how it fails: Since weather forecasting started out, we gathered more and more data, built ever growing models of our world and invented better algorithms. But this models start to fail. This becomes obvious when looking at the predictions for weather which become ever worse, due to climate change. From big data humans try to create the perfect model of the world. This makes us believe that we know ever more about our world, but instead the opposite is the case. We look only at the models and forget the look at the real world. And furthermore Bridle states that these models are overwhelming and demoralising due to their complexity. This is how due to Bridle we might enter a new dark age, where we start to know less and less about the world, which is not necessary bad.

Gerstner, K., 1964. Designing Programmes.

The book Designing Programs by Karl Gerstner was published in 1964. Gerstner proposes a different framework for problem solving. Instead of solving a problem for a single case, he is thinking of programs that solve problems for a variable number of times. He is defining multiple definitions of the »program« and how it generates various outcomes dependent on its outcome and algorithm. »To describe to problem is part of the solution«(p.20). In the following he is describing a series of works (specifically logos) that follow a very simple systematic. He traces back the idea of an algorithmic design to old Cathedra churches, where the decoration is based on »an exact program of constants and variants«. Therefore all the windows are different and full of variation while maintaining the original style. Gerstner tries to describe this program next to the image of the windows with his own words (based on written language). He does so with all the following examples. The chapter «integral typography« Gerstner analyses type as a mathematical system that can be described by programs. He explains the possibilities of creating a very complex system based on simple rules, with an example of the simple devision of a square. With a form simple as this it would be possible to use the intersections, lines, surfaces, diagonals etc… to build generative patterns. He is trying to take existing design principles, like the grid, and describes them as a program itself – generating a very complex, transformable grid which he calls »mobile grid«. Next Gerstner brings up the concepts of programs as literature, where he is generating poems based on very simple rules. The technic he uses is not based on a real algorithm as we know it. It is not executed by an computer, but rather executed by a human, who selects from a list of »commands«. (In a very OuLiPo-ian way) The same thing can be done with music or photo-collages, as Gerstner describes. Furthermore he dives into 3D applications, also for typography and last but not least he also relates his programatic idea to the selection of colors, creating color-systems. I think that what Gerstner describes is a very interesting approach in seeing the world as a program – but one might also wonder: is the world always reducable to a simple program? This is also something that James Bridle criticises in his recent book new dark age. We only try to describe reality with algorithms, we are creating models of the world, while we forget looking at the real world. Despite this the programmatic approach like we see it in Gerstners work or also in the OuLiPo group is a way to find new interpretations or representations of traditional matter, like literature, music or art.


Flusser, V., 2011. Into the Universe of Technical Images, 1 edition. ed. Univ Of Minnesota Press, Minneapolis.

The technical image is very different from the traditional image. The image is embedded into cultural context, especially what he considers as the traditional image, which is mostly composed out of symbols. These symbols need the deciphered, in order to understand the meaning of the image. Flusser claims that humans abstract more and more. He lists 5 steps of cultural history that lead to the technical image in the end. This shall also explain the difference between the what Flusser calls traditional and technical image. First: Animals and primitive People embedded into a four dimensional time-space continuum. »It is the level of concrete experience.« (p. 6) Second: The humans that preceded us. The human is interacting with objects and shaping them. Third: The human that is able to imagine and translate it into a »imaginary, two-dimensional mediation zone« (p. 6): the traditional image (cave paintings). Fourth: The stage of »understanding and explanation, the historical level« based on the invention of linear text. Fifth: »This is the level of calculation and computation, the level of technical images«. The image is (compared to the traditional image) not based on imagination anymore, but it is founded on the power by the automation of an apparatus. Flusser explains this cultural history as an ongoing abstraction, an alienation of the human from the concrete.

While going through all those steps as stated above, Flusser underlines a loos of dimensions. When the first one was still placed in a 4 dimensional space, the second one already reduces that reality to a 3 dimensional one, the one of the object. The 3rd one takes place in a two dimensional image and the 4th is reduced to a single dimensioned line of text. Now, in the last step we will find ourselfs in a zero-dimensional representation of reality that is based on points (the pixel). Particles that shape swarms.

Flusser disagrees with the idea that a photograph represents it’s photographed object in an unchanged way. The world is becoming to abstract and thus unlifeable. »To live, one must try to make the universe and consciousness concrete.« (S.15)

»a technical image is: a blindly realized possibility, something invisible that has blindly become visible.« (S.16)

»So the basis for the emerging universe and emerging consciousness is the calculation of probability.« (p.17)


He formulates the idea of the apparatus and the human as part of its functions »That is to say, then, that not only the gesture but also the intention of the photographer is a function of the apparatus.« (p. 20)

The technical image is a collaboration between apparatus and human being. Technical image needs to be programmed and then deprogrammed. It is to turn particles into and surface. (While it is not a real surface, only a raster / simulation of it) So the meaning of the technical image is radically different from the traditional.

Next he is talking about keys (the instruments that influence the particles, that make them graspable again)


Gere, C., 2008. Digital Culture, 2nd Revised edition edition. ed. Reaktion Books, London.

Müller, A.C., Guido, S., 2016. Introduction to Machine Learning with Python: A Guide for Data Scientists, 1 edition. ed. O’Reilly Media, Sebastopol, CA.