We don’t store words or the rules that tell us how to manipulate them. We don’t create representations of visual stimuli, store them in a short-term memory buffer, and then transfer the representation into a long-term memory device. We don’t retrieve information or images or words from memory registers. Computers do all of these things, but organisms do not.
Over the last fifty years, we have come to recognize that the fuel of our civilizational expansion has become the main driver of our extinction, and that of many of the species we share the planet with. We are now coming to realize that is as true of our cognitive infrastructure. Something is out of sync, felt everywhere: something amiss in the temporal order, and it is as related to political and technological shifts, shifts in our own cognition and attention, as it is to climatic ones. To think clearly in such times requires an intersectional understanding of time itself, a way of thinking that escapes the cognitive traps, ancient and modern, into which we too easily fall. Because our technologies, the infrastructures we have built to escape our past, have turned instead to cancelling our future.
James writes beautifully about rates of change.
The greatest trick our utility-directed technologies have performed is to constantly pull us out of time: to distract us from the here and now, to treat time as a kind of fossil fuel which can be endlessly extracted in the service of a utopian future which never quite arrives. If information is the new oil, we are already, in the hyper-accelerated way of present things, well into the fracking age, with tremors shuddering through the landscape and the tap water on fire. But this is not enough; it will never be enough. We must be displaced utterly in time, caught up in endless imaginings of the future while endlessly neglecting the lessons and potential actions of the present moment.
From Scott McCloud to responsive design, Dave is pondering our assumptions about screen real estate:
As the amount of information increases, removing details reduces information density and thereby increasing comprehension.
It reminds me of Edward Tufte’s data-ink ratio.