What is this condition? I would summarize it as people extending computational systems by offering their bodies, their senses, and their cognition. And specifically, bodies and minds that can be easily plugged in and later easily be discarded. So bodies and minds algorithmically managed and under the permanent pressure of constant availability, efficiency, and perpetual self-optimization.
Deepfakes, even as a concept, continue to grow and develop. So we’re not seeing that just what we know now as deepfakes is where it stops. This is going to continue to develop as time goes by.
The culture gap at the center of the debate we’re having today is a culture gap between people who build hardware and people who build software. And those cultures have been diverging since the 1950s.
We’re at a thousand dollars per gigabyte, which is what current disk drives cost. The twenty terabytes that people estimate in ASCII that’s in the Library of Congress is just twenty million dollars. So that’s not very much money in terms of being able to store and retrieve the Library of Congress.
There are all of these wonderful laws that people have discovered and refined and proposed and proved over the years. And some of these laws can apply to the software projects and the teams and the communities that we work in every day.
There’s already a kind of cognitive investment that we make, you know. At a certain point, you have years of your personal history living in somebody’s cloud. And that goes beyond merely being a memory bank, it’s also a cognitive bank in some way.
The largest part of the ENIAC team by far were the people that were actually building the thing. And it’s interesting they’ve been forgotten by history, because although their job titles were wiremen, technicians, and assemblers, being a business historian I looked up the accounting records, and sometimes they spell out the payroll. You suddenly see all these women’s names like Ruth, Jane, Alice, Dorothy, Caroline, Eleanor showing up.