Local Code: 3,659 Proposals About Data, Design & The Nature of Cities A Book by Nicholas de Monchaux localco.de Local Code’s data-driven layout arranges drawings of 3,659 digitally tailored interventions for vacant public land in San Francisco, Los Angeles, New York City, and Venice, Italy. The natures of these found parcels is as particular as the cities that house them — land under billboards in Los Angeles, dead-end alleys in San Francisco, city-owned vacant lots in New York City, and abandoned islands in the Venetian lagoon — but have in common an unrecognized potential as a social and ecological resource. Names vs. The NothingLocal Code: The Constitution of a City at 42º N Latitude citiesurbanism
Coevolution and the bad take machine An Article by David R. MacIver notebook.drmaciver.com So when you have a bad take machine, you get the following processes: They make a bad take. People are outraged and talk about it. The bad take machine likes it and does more of that behaviour in future. If, on the other hand, they make a take and nobody cares, they do not get reward and the behaviour is selected against. The behaviours drove the spread of the outrage replicator, and the outrage replicator provides the selection mechanism for the behaviours. Thus, via the spread of our outrage on Twitter, we have operant conditioned the bad take machine into producing worse takes. Which is to say, it's bad on purpose to make you replicate it. How to write a high-engagement tweetA bad tweet is like a deepfake of an idea mediaanger