Heidegger argues that modern technology is quantifiably different from all earlier periods because of a shift in ethos from in situ craftwork to globalised production and storage at the behest of consumerism. He argues that this shift in technology has fundamentally shaped our epistemology, and it is almost impossible to comprehend anything outside the technological enframing of knowledge. The exception is when something breaks down, and the fault ‘shows up’ in fresh ways. Stiegler has several important addendums to Heidegger’s thesis. (...) Firstly, that Heidegger fails to fully appreciate the early Greek myth of Prometheus, and the technological depth that fire offers all human societies. Secondly, the fall, or failure, which is doubled in the myth of Prometheus, and shows up in epistemology accordingly. Thirdly the acceleration of technology since the onset of Information Technology, and the way this is disorientating our Being. I argue the fall in both Heidegger and early Stiegler has encaptured their imagination. In later work, Stiegler argues that acceleration is fused with algorithmic pretensions, that are distorting and undermining the creative political imaginary, and making it difficult to revalue the values that underpin the nihilist Anthropocene. The overcoming of the Anthropocene engages politics, economics, power, physics, and ecology. (shrink)

Understanding climate change is becoming an urgent requirement for those in education. The normative values of education have long been closely aligned with the global, modernised world. The industrial model has underpinned the hidden and overt curriculum. Increasingly though, a new eco-centric orientation to economics, technology, and social organisation is beginning to shape up the post-carbon world. Unless education is up to date with the issues of climate change, the estate of education will be unable to meet its task of (...) knowledge transfer. This paper covers the basic science and ethical policy debates, and begins to outline the questions that will necessarily entangle education as we orientate ourselves to the new world that is upon us. (shrink)

Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of human epistemology is shaped by the emergence of machines. Pre-empting themes of posthumanism over 150 years ago, Butler teases out the notion of intelligence in the evolution and communication (...) of plants, animals, and machines. Stiegler worries that the rapid acceleration of automation, especially the emergence of the algorithms of artificial intelligence are disrupting the modern economic system by rupturing the relation between work and wages. Escalating entropy is overtaking the ordering of modernity. Education needs to engage with the contextual changes in modern expectations about work, as well as educational changes in thinking and learning. (shrink)

‘Civilisation as a thin membrane stretched over chaos’ is Mark O’Donnell’s first impression of the neatly manicured lawn on an Auckland volcano, during his visit to discover why so many billionaires are prepping for the Apocalypse in New Zealand (O’Donnell, 2018). Nobody should approach the apocalyptic end of civilisation without a sense of humour because it is so full of contradictions and paradox. The apocalyptic imaginary that suffuses Silicon valley and its tech start ups is concerning. There is an irreverent (...) juxtaposition of gigantic Promethean optimism and pessimistic acknowledgement of the Anthropocene, from which emerges a supercharged libertarian viscera where the super rich manage to keep extracting coin from the collapse of civilisation as we know it. (shrink)