An even-handed assessment of the benefits and dangers of machine learning.
Almost every technological innovation over the last 300 years has had side effects which actually increase the number of opportunities for employment. The general trend is that the easier something is to do, the more demand there is for it.
Cameron looks at the historical effects of automation and applies that to design systems. The future he sees is one of increased design democratisation and participation.
This is actually something that designers have been championing for decades – inclusive design at all levels of the company, and an increase in design thinking at all stages of product development. Now that we finally have a chance of achieving that it’s not a time to be scared. It’s a time to be celebrated.
During the Industrial Revolution, as new machines were invented to increase output, business owners often dreamed of an entirely automated workforce—of a factory without workers. I assume their workers had different dreams.
Ethan thinks through the ethical implications of increasing automation and efficiency über alles:
I can’t stop thinking about how much automation has changed our industry already. And I know the rate of automation is only going to accelerate from here.
At the very least, maybe it’s worth asking ourselves what might happen next.
There was a time, circa 2009, when no home design story could do without a reference to Mad Men. There is a time, circa 2018, when no personal tech story should do without a Black Mirror reference.
Black Mirror Home. It’s all fun and games until the screaming starts.
When these products go haywire—as they inevitably do—the Black Mirror tweets won’t seem so funny, just as Mad Men curdled, eventually, from ha-ha how far we’ve come to, oh-no we haven’t come far enough.
There’s this idea that our homes — and our lives, and our workflows, and everything, really — should be micromanaged and accessed through technology, but, like many new experiments, this kind of technological advance has little actual real-world benefit. Like many new experiments, smart home technology is a perceived convenience masked as a wild hair — it’s advancement because we can, not because we need to.
A lyrical assessment of the current state of home automation.
Things are getting really smart on their own, but they’re still struggling to interact as a community — the promise of a smart home falling short because our appliances can’t draft a cohesive constitution. What’s more, we ourselves are struggling to modulate our reaction to these gadgets. We’re getting excited about automated lights and pretending the future has already come.
A thoroughly entertaining talk by Andy looking at the past, present, and future of robots, AI, and automation.
I still find the landscape of build tools completely overwhelming, but I found this distinction to be a useful way of categorising the different kinds of build tools:
Build tools do two things:
- Install things
- Do things
So bower, npm and yarn install things, whereas grunt, gulp, and webpack do things.
Training a neural network to do front-end development.
I didn’t understand any of this.
I’m a Google Manufacturing Robot and I Believe Humans Are Biologically Unfit to Have Jobs in Tech - McSweeney’s Internet Tendency
Normally a McSweeney’s piece elicits a wry chuckle, but this one had me in stitches.
Humans are also far more likely to “literally cannot right now.” I have never met an automaton that literally could not, though I have met some that theoretically would not and hypothetically might want to stop.
When another company achieves success, there’s a lot of pressure to investigate what they did right and apply that to our own organizations.
But we still have a chance. As long as we run brave organizations made up of even braver souls who are willing to embrace expression, trust their intuition and experiences, and stand up when everyone else is sitting down, we will survive.