ENTRIES TAGGED "kevin kelly"
Emotions Wanted, Future's So Bright, Machine Learning for Security, and Medieval Unicode Fonts
- What Machines Can’t Do (NY Times) — In the 1950s, the bureaucracy was the computer. People were organized into technocratic systems in order to perform routinized information processing. But now the computer is the computer. The role of the human is not to be dispassionate, depersonalized or neutral. It is precisely the emotive traits that are rewarded: the voracious lust for understanding, the enthusiasm for work, the ability to grasp the gist, the empathetic sensitivity to what will attract attention and linger in the mind. Cf the fantastic The Most Human Human. (via Jim Stogdill)
- The Technium: A Conversation with Kevin Kelly (Edge) — If we were sent back with a time machine, even 20 years, and reported to people what we have right now and describe what we were going to get in this device in our pocket—we’d have this free encyclopedia, and we’d have street maps to most of the cities of the world, and we’d have box scores in real time and stock quotes and weather reports, PDFs for every manual in the world—we’d make this very, very, very long list of things that we would say we would have and we get on this device in our pocket, and then we would tell them that most of this content was free. You would simply be declared insane. They would say there is no economic model to make this. What is the economics of this? It doesn’t make any sense, and it seems far-fetched and nearly impossible. But the next twenty years are going to make this last twenty years just pale. (via Sara Winge)
- Applying Machine Learning to Network Security Monitoring (Slideshare) — interesting deck on big data + machine learning as applied to netsec. See also their ML Sec Project. (via Anton Chuvakin)
- Medieval Unicode Font Initiative — code points for medieval markup. I would have put money on Ogonek being a fantasy warrior race. Go figure.
Silicon Beats Meat, Workers against Machines, Quora Design Notes, and Free Data Science Books
- Robots Will Take Our Jobs (Wired) — I agree with Kevin Kelly that (in my words) software and hardware are eating wetware, but disagree that This is not a race against the machines. If we race against them, we lose. This is a race with the machines. You’ll be paid in the future based on how well you work with robots. Ninety percent of your coworkers will be unseen machines. Most of what you do will not be possible without them. And there will be a blurry line between what you do and what they do. You might no longer think of it as a job, at least at first, because anything that seems like drudgery will be done by robots. Civilizations which depend on specialization reward work and penalize idleness. We already have more people than work for them, and if we’re not to be creating a vast disconnected former workforce then we (society) need to get a hell of a lot better at creating jobs and not destroying them.
- Why Workers are Losing the War Against Machines (The Atlantic) — There is no economic law that says that everyone, or even most people, automatically benefit from technological progress.
- Early Quora Design Notes — I love reading post-mortems and learning from what other people did. Picking a starting point is important because it will be the axis the rest of the design revolves around — but it’s tricky and not always the first page in the flow. Ideally, you should start with the page that serves the most significant goals of the product.
- Free Data Science Books — I don’t mean free as in some guy paid for a PDF version of an O’Reilly book and then posted it online for others to use/steal, but I mean genuine published books with a free online version sanctioned by the publisher. That is, “the publisher has graciously agreed to allow a full, free version of my book to be available on this site.” (via Stein Debrouwere)