Kathryn

“data mining promised to overcome usual ways of dividing and understanding the world.”
― Chris Wiggins, How Data Happened: A History from the Age of Reason to the Age of Algorithms

“The scale shift of labour composition from the nineteenth to the twentieth centuries affected also the logic of automation, that is, the scientific paradigms involved in this transformation. The relatively simple industrial division of labour and its seemingly rectilinear assembly lines could easily be compared to a simple algorithm, a rulebased procedure with an ‘if/then’ structure which has its equivalent in the logical form of deduction. Deduction, not by coincidence, is the logical form that via Leibniz, Babbage, Shannon, and Turing innervated into electromechanical computation and eventually symbolic AI. Deductive logic is useful for modelling simple processes, but not systems with a multitude of autonomous agents, such as society, the market, or the brain.”
― Matteo Pasquinelli, The Eye of the Master: A Social History of Artificial Intelligence

“Teams are working on products that will generate new DNA sequences using only natural language instructions. Transformer models are learning the language of biology and chemistry, again discovering relationships and significance in long, complex sequences illegible to the human mind.”
― Mustafa Suleyman, The Coming Wave: AI, Power, and Our Future

“There will be a day in the future when current AI will be considered an archaism, one technical fossil to study among others.”
― Matteo Pasquinelli, The Eye of the Master: A Social History of Artificial Intelligence