Some people think. Some people build. Most of us just post on Tumblr. Quotes and thoughts on coding, technology, crazy ideas and the futures go here. Part of a diptych with Reconstructivism.
technology is complex, personal, and political. Understanding and articulating where technologies come from and how they operate requires understanding of how they bump up against society’s own infrastructures and substructures – that is, how they function as socio-technical systems.
But memories in the cloud are there forever. You will never be able to destroy them. That data is backed-up, distributed, redundant, and permanent. I can tell you first-hand: do not assume that when you click “delete” a file is gone.
We are post future, we don’t have flying cars but we do have the network slowly bringing us everything else. Hmmm, let me put it a different way, if you have a tech conference called “The state of the network” in 2014/15/16 in which speakers and audience travel from different parts of the country/world to talk/hear about how the network is making things better, then we’ve all clearly failed.
At this point, the majority of wearable technology takes its cues from 20th century science fiction, with technologists pursuing outmoded ideas about what fashion of the future should look like. In this pursuit of a retrograde future, wearable technology developers have failed to recognise that consumers aren’t excited by the technological advances of smart fashion for the same reason that a World’s Fair doesn’t move anyone in 2014. Cynicism and disappointment with the failed utopian promises of 20th-century technology means that the futuristic narratives of science fiction are less desirable than the stories of unchanging tradition used by the luxury fashion industry.
Uber is unable to do this, perhaps, because a world in which teachers must drive cars in order to make ends meet, a gig economy, is clearly one that is post-union—one in which Uber thrives, not only because it ensures an unending supply of the underemployed to put behind the wheel, but because it suits the way that the company treats its drivers, who are independent contractors, even though they are euphemistically referred to as “partners.”
But in the systematic application of its decision criteria, the algorithm might be introducing bias that is not obvious given its programming. It can be easy to succumb to the fallacy that, because computer algorithms are systematic, they must somehow be more “objective.” But it is in fact such systematic biases that are the most insidious since they often go unnoticed and unquestioned.
When you take venture capital, it is not a matter of if you’re going to sell your users, you already have. It’s called an exit plan. And no investor will give you venture capital without one. In the myopic and upside-down world of venture capital, exits precede the building of the actual thing itself. It would be a comedy if the repercussions of this toxic system were not so tragic.
The thing is, if you care about having an impact on the world, the too-early mode is the highest leverage point because you can have an idea, build a mock or a prototype of it, and then have those ideas find themselves in products that other people build that then scale up to massive.