AI, Animals, Brain, Emergence, Ethics, philosophy, Religion, Robots, Science, Society

Buddhist perspectives on AI

“From the viewpoint of Buddhism, all life is emergent, entities functioning at a capacity greater than the sum of their parts. There is no special qualifier that separates any form of intelligence from another (note that even consciousness is on the list of things that we aren’t.”. This means that an intelligence inside of a robot body, a computer, or existing on the Internet would be just as worthy of being considered “alive” as a squirrel, a human, or a bacteria. Further, Buddhism accepts the existence of life that does not have a physical body. In the Buddhist mythology, beings that exist in realms without physical bodies are described and treated the same as those with physical bodies. Although this ethic is ascribed to mythical beings, if we begin to see actual beings that exist in “formless realms”, most Buddhists would likely see no problem accepting them as living. In Buddhism, a computer intelligence would be viewed by most as a new form of life, but one equally possessed of the heaps and equally capable of emergent behavior and enlightenment. The Dalai Lama, Thich Nhat Hanh, and several other high profile Buddhist thinkers have already spoken in support of AI as a living being.”


Anthropology, Art, Biological Computation, Biology, Biometrics, Brain, Deep Learning, Music, Neural Networks, Psychology, Science, Social intelligence, Society, Sound

The Neuroscience of Improvisation

Charles Limb has been investigating rap. “It’s what kids are doing spontaneously when growing up… and improvisation is a strong theme. It incorporates language and rhythmic music very equally.” Limb has been scanning the brains of rappers the same way he looked at jazz musicians: comparing fMRIs when they recited memorized passages to when they “freestyled,” or improvised in rhyme. Although the study is still in progress, preliminary data suggest “major changes in brain activity when you go from memorized rap to freestyle.” Can studies of improvisation unlock more general secrets of creativity? Limb hopes to do similar investigations of artists as they draw or paint. The moderator ended with an inevitable question about art and science: “It is worth the effort to measure and quantify something abstract and artistic… to demystify what we enjoy the mystery of?” Limb saw nothing “threatening or reductionist” in the work of neuroscientists. “Humans are hardwired to seek art, and there are very few things that engage the brain on the level that music does. To understand the neural basis of creativity teaches us something fundamental about who we are, why we’re here.” Improvisation “shows us what the mind can do,” Marcus added. “The ability of human beings to improvise tells us a lot about the ultimate scope of our capabilities.”


Architecture, Art, Biology, Biometrics, Brain, Capitalism, Economy, Education, History, Mathematics, Medicine, Nature, philosophy, Psychology, Science, Society

Kantian Legacy in Nineteenth Century Science

“The book examines Kant’s influence on five strands of nineteenth-century scientific thought: Naturphilosophie and the effect of German Romanticism (especially Goethe) on biology; Fries’s philosophy of science; Helmholtz’s rejection of Naturphilosophie and Romanticism; neo-Kantianism and its return to “methodological” concerns in natural science and academic philosophy; and Poincaré and his reflections on scientific epistemology. The essays give a nuanced picture of Kant’s legacy to nineteenth-century thinkers and of the rich interaction between philosophical ideas and discoveries in the natural and mathematical sciences during this period. They point to the ways that the scientific developments of the nineteenth century link Kant’s thought to the science of the twentieth century.”


AI, Algorithm, Automata, Biological Computation, Brain, Code, Cybernetics, Deep Learning, Logic, Man/Machine, Mathematics, Neural Networks, Science, Social intelligence

Neural Networks and Deep Learning

“Will we understand how such intelligent networks work? Perhaps the networks will be opaque to us, with weights and biases we don’t understand, because they’ve been learned automatically. In the early days of AI research people hoped that the effort to build an AI would also help us understand the principles behind intelligence and, maybe, the functioning of the human brain. But perhaps the outcome will be that we end up understanding neither the brain nor how artificial intelligence works!”



Education, History, Logic, Music, PDF, Radio, Sound

La telegrafía rápida: el triteclado y la música eléctrica (Castillejo 1944)

“In this curious book, a Spanish priest proposes to combine the developments in telegraphy, teleprinter keyboards, typewriters and “electric music”. He describes how in the 1930s he built and perfected an ”electro-composition device”, equipped with lamps, transformers, capacitors, resistors, dozens of speakers and several engines. He intended to cause the perforations in the telegraphic tape to be automatically selected by different engines that would trigger the various sound tracks recorded, and thus cause each of the “books on the perforated tape” to become an “audio book”. The purpose behind this idea was to enable the future creation of “spoken libraries” and “speech archives” in which the item being searched for could be instantly found. He performed practical experiments by means of a radio station where he managed to make the radio transmitter “speak automatically”, repeatedly broadcasting random announcements without anyone being present. He also intended this “talking device” to become an electric orchestra that composed “a music of chance configurations that was subjected to a number of panels governing its harmonic possibilities”, as well as bearing in mind the multiple possibilities that it offered in the field of improvisation.”


Anthropology, Archeology, Biometrics, Economy, Farming, History, Medicine, Nature, Science, Society

Phytoliths in Pottery Reveal the Use of Spice in European Prehistoric Cuisine

Opium poppy (Papaver somniferum)
Dill (Anethum graveolens)
Caper (Capparis spinosa)
Coriander (Coriandrum sativum)
Cumin (Cuminum cyminum)
A kind of mustard ? (Cruciferae family)
“Figure 1. Early contexts from which spices have been recovered, with photomicrographs of globular sinuate phytoliths recovered from the pottery styles illustrated. Showing, A) A map of Europe showing an inset of the study area and sites from which the pot residues were acquired;, including also the Near East and northern Africa indicating early contexts where spices have been recovered: a) Menneville, France (Papaver somniferum L.), b) Eberdingen, Germany (Papaver somniferum L.), c) Seeberg, Switzerland (Papaver somniferum L.), d) Niederwil, Switzerland (Papaver somniferum L.), e) Swiss Lake Villages, Switzerland (Anethum graveolens L.), f) Cueva de los Murcielags, Spain (Papaver somniferum L.), g) Hacilar, Turkey (Capparis spinosa L.), h) Tell Abu Hureya, Syria (Caparis spinosa L.), i) Tell ed-Der, Syria (Coriandrum sativum L. and Cuminum cyminum L.), j) Khafaji, Iraq (Cruciferae family), k) Tell Aswad, Syria (Capparis spinosa L.), l) Nahal Hemar Cave, Israel (Coriandrum sativum L.), m) Tutankhamun’s tomb, Egypt (Coriandrum sativum L.), n) Tomb of Kha, Egypt (Cuminum cyminum L.), o) Tomb of Amenophis II, Egypt (Anethum graveolens L.), p) Hala Sultan Tekke, Cyprus (Capparis spinosa L.), q) Heilbronn, Germany (Papaver somniferum L.), r) Zeslawice, Poland (Papaver somniferum L.) [compiled using 8–17]. B) Hunter-gatherer pointed-based vessel (on the left) and Early Neolithic flat-based vessel (on the right). C) Scanning Electron Microscope image of a globular sinuate phytolith embedded in a food residue, D) optical light microscope image of modern Alliaria petiolata globular sinuate phytoliths, and E) optical light microscope image of archaeological globular sinuate phytolith examples.


Algorithm, Architecture, Art, Automata, Biological Computation, Chaos, Code, Cybernetics, Drawing machine, History, Interface, Kinetic, Light, Logic, Maker, Man/Machine, Mathematics, Neural Networks, PDF, Social intelligence, Society, Tactical Media

Cybernetic Serendipity the Computer and the Arts – (1968)

Exhibition catalogue. Edited by Jasia Reichardt (Studio International Special Issue, London. 1968)