The Age of Noise

  • noise is both the presence and absence of information
  • we are surrounded by extra noise, hums of traffic and electricity
  • noise to drown out noise - noise cancelling headphones through active noise - this is hypermediation
  • oversaturated with data, much data is noise
  • noise is the ‘success’ state of the information age
  • information was once scarce and is now too prevalent
  • information age started with the transistor - directing and controlling voltage according to various inputs
  • punch holes remediated to electrical on off remediated into binary remediated into assembly code and every code since and then GUIs
  • the more we feed the machine, the more decisions the machine can make
  • but decision-making is power.
  • decisions encroach on our own, we no longer have to make them
  • it may seem as though mathematically, scientifically made decisions are more worthy but our entire societies function on irrationality as well as rationality, and science/maths aren’t inherently neutral but embedded with societies’ problems
  • we always find ways to recreate dichotomy, good and evil, yes and no, swipe left and swipe right
  • with barebones circuitry the computer is designed to ‘reveal’ information and noise is any ‘disturbance’ to the flow of energy through the wires
  • the ‘noise’ of the information age eg tv and phone static is generally cosmic background radiation
  • radiation retained from the big bang -> omnipresent force -> godlike -> divine machinery, ghost in the machine, folklore
  • generative AI essentially also works on an accept/reject signal
  • every eg caption becomes information, when does the human consent for their expressions to be quantified in this way
  • “The entirety of human visual culture has a new name. We used to call these collections archives, or museum holdings, or libraries. Today, we call them datasets.”
  • AI image generators are a super-combination, quantum superposition of the visual media offered (etc for nonvisual this is just more clear)
  • but decisions are made on the curation without a human hand, without input source consent and with undue credit to the puppeteer
  • these works in libraries etc are treated with care, require citation, there was some credence given to the wishes of the author - no ‘do not mutilate’ for AI source data
  • our collective visual heritage in digital form is remixed with less care, without provenance
  • personal works with personal contexts and relationships to their maker and necessary deliberate mediations are clumped together as a pot of humanity’s work decontextualised
  • thoughts/ripped from context as a violence
  • use of the word ‘diffusion’ for AI is interesting - aspects of aesthetic and content and value diffused throughout the new pieces
  • Server farms mined data with guiding principles of surveillance and financialisation
  • the goal of social media has always been to have us sharing more
  • generative AI is just another term for surveillance capitalism
  • late stage capitalism looks like uncanny images of machines with no experience of the world, unsettling as they don’t resemble what they represent, as automated surveillance never does
  • AI is abstraction and prediction. (Often the wrong abstractions, and the moneymaking predictions)
  • what survives history is what we choose to preserve through a series of institutionalised decisions
  • archives more clearly show their gaps, and the gaps can be challenged. AI conglomerates into a soup.
  • when humans are in the loop, humans can intervene in the loop
  • a dangerous promise of a paradigm shift
  • each combined image is actually degraded images
  • AI navigates averages. Averages are not always useful
  • the original context is irretrievable
  • abandoned meanings - meanings occur from relationships
  • echoes of colonialism - to reduce history to a singular flat ground from which to build
  • nothing holds more weight than anything else - victims and perpetrators fused together
  • a generated image is not new, it is wrong - the hypothesis of an image that might exist, but doesn’t
  • we are all fused together as one and sorted by the weight of the most common
  • we can’t study the geanologies of these images
  • the idea of the remix is that we CHOOSE elements to rearrange, arrange them to the moment
  • a haunting
  • Mark Fisher sonic hauntology, music that references past visions of the future
  • data is haunted by what it didn’t include, even the census eg children not born because of who could not marry
  • data contains only the trajectories of history that have been allowed to us
  • feeding only past data means the ghosts become police
  • the living are sorted by the dead
  • we refer to datasets in AI rather than archives as archive proposes q greater degree of responsibility. Reliance on humans and curation and contextualisation
  • datasets strip context
  • archives group and sort by meaning but datasets only by quantified things
  • the avant-garde as liminal space between archive and noise
  • residue, telling the machine it doesn’t know anything
  • ‘erotic footage’, the machine leering, tracking and tracing a body as just as invasive when a machine does it
  • following a bodies contours is incredibly intimate, why do we let machines do it
  • but in being translated into media the image appears to enjoy itself. Literally submerging herself in the data
  • there is such a thing as Art that involves AI, but art is not just what AI generates.
  • creativity is in agency
  • contorting the machines towards us
  • fear with AI is more than we will fall into historic grooves with no concern for building a deliberate future
  • Nam June Paik “I use technology in order to hate it properly”
  • archives as collective memory
  • the challenge of the age of noise is to find and preserve meaning
  • web-weaving