Nat has chaired the O'Reilly Open Source Convention and other O'Reilly conferences for over a decade. He ran the first web server in New Zealand, co-wrote the best-selling Perl Cookbook, and was one of the founding Radar bloggers. He lives in New Zealand and consults in the Asia-Pacific region.
FAA to Regulate UAVs? (Forbes) — and the Executive Order will segment the privacy issues related to drones into two categories — public and private. For public drones (that is, drones purchased with federal dollars), the President’s order will establish a series of privacy and transparency guidelines. See also How ESPN is Shooting the X Games with Drones (Popular Mechanics)—it’s all fun and games until someone puts out their eye with a quadrocopter. The tough part will be keeping within the tight restrictions the FAA gave them. Because drones can’t be flown above a crowd, Calcinari says, “We basically had to build a 500-foot radius around them, where the public can’t go.” The drones will fly over sections of the course that are away from the crowds, where only ESPN production employees will be. That rule is part of why we haven’t seen drones at college football games.
Milestones for SaaS Companies — “Getting from $0-1m is impossible. Getting from $1-10m is unlikely. And getting from $10-100m is inevitable.” —Jason Lemkin, ex-CEO of Echosign. The article proposes some significant milestones, and they ring true. Making money is generally hard. The nature of the hard changes with the amount of money you have and the amount you’re trying to make, but if it were easy, then we’d structure our society on something else.
Woodcut Data Visualisation — Recently, I learned how to operate a laser cutter. It’s been a whole lot of fun, and I wanted to share my experiences creating woodcut data visualizations using just D3. I love it when data visualisations break out of the glass rectangle.
Why is Concurrent Programming Hard? — on the one hand there is not a single concurrency abstraction that fits all problems, and on the other hand the various different abstractions are rarely designed to be used in combination with each other. We are due for a revolution in programming, something to help us make sense of the modern systems made of more moving parts than our feeble grey matter can model and intuit about.
Comcast (Github) — Comcast is a tool designed to simulate common network problems like latency, bandwidth restrictions, and dropped/reordered/corrupted packets. On BSD-derived systems such as OSX, we use tools like ipfw and pfctl to inject failure. On Linux, we use iptables and tc. Comcast is merely a thin wrapper around these controls.
The UX Reader — This ebook is a collection of the most popular articles from our [MailChimp] UX Newsletter, along with some exclusive content.
Bad Assumptions — Apple lost more money to currency fluctuations than Google makes in a quarter.
Note and Vote (Google Ventures) — nifty meeting hack to surface ideas and identify popular candidates to a decision maker.
Applying Psychology to Improve Online Behaviour — online game runs massive experiments (w/researchers to validate findings) to improve the behaviour of their players. Some of Riot’s experiments are causing the game to evolve. For example, one product is a restricted chat mode that limits the number of messages abusive players can type per match. It’s a temporary punishment that has led to a noticeable improvement in player behavior afterward —on average, individuals who went through a period of restricted chat saw 20 percent fewer abuse reports filed by other players. The restricted chat approach also proved 4 percent more effective at improving player behavior than the usual punishment method of temporarily banning toxic players. Even the smallest improvements in player behavior can make a huge difference in an online game that attracts 67 million players every month.
Decentralised Autonomous Corporations — Charlie Stross’s near-future fiction of Accelerando comes closer to reality: Malice – revenge for waking him up – sharpens Manfred’s voice. “The president of agalmic.holdings.root.184.97.AB5 is agalmic.holdings.root.184.97.201. The secretary is agalmic.holdings.root.184.D5, and the chair is agalmic.holdings.root.184.E8.FF. All the shares are owned by those companies in equal measure, and I can tell you that their regulations are written in Python. Have a nice day, now!” He thumps the bedside phone control and sits up, yawning, then pushes the do-not-disturb button before it can interrupt again. After a moment he stands up and stretches, then heads to the bathroom to brush his teeth, comb his hair, and figure out where the lawsuit originated and how a human being managed to get far enough through his web of robot companies to bug him.
Coding is Not the New Literacy (Chris Grainger) — We build mental models of everything – from how to tie our shoes to the way macro-economic systems work. With these, we make decisions, predictions, and understand our experiences. If we want computers to be able to compute for us, then we have to accurately extract these models from our heads and record them. Writing Python isn’t the fundamental skill we need to teach people. Modeling systems is. Amen!
Why I Am Not a Maker (Deb Chachra) — The problem is the idea that the alternative to making is usually not doing nothing — it’s almost always doing things for and with other people, from the barista to the Facebook community moderator to the social worker to the surgeon. Describing oneself as a maker — regardless of what one actually or mostly does — is a way of accruing to oneself the gendered, capitalist benefits of being a person who makes products.
Pattern — a web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and <canvas> visualization.
Microsoft HoloLens Goggles (Wired) — a media release about the next thing from the person behind Kinect. I’m still trying to figure out (as are investors, I’m sure) where in the hype curve this Googles/AR/etc. amalgam lives. Is it only a tech proof-of-concept? Is it a games device like Kinect? Is it good and cheap enough for industrial apps? Or is this the long-awaited climb out of irrelevance for Virtual Reality?
The Facebook (YouTube) — brilliant fake 1995 ad for The Facebook. Excuse me, I’m off to cleanse.
Natural Language in Social Robotics (Robohub) — Natural language interfaces are turning into a de-facto interface convention. Just like the GUI overlapped and largely replaced the command line, NLP is now being used by robots, the Internet of things, wearables, and especially conversational systems like Apple’s Siri, Google’s Now, Microsoft’s Cortana, Nuance’s Nina, Amazon’s Echo and others. These interfaces are designed to simplify, speed up, and improve task completion. Natural language interaction with robots, if anything, is an interface. It’s a form of UX that requires design.
Microservices and Testing (Martin Fowler) — testing across component boundaries, in the face of failing data stores and HTTP timeouts. The first discussion of testing in a web-scale world that I’ve seen from The Mainstream.
MIT Faculty Search — two open gigs at MIT, one around climate change and one “undefined.” Great job ad.
Scalability at What Cost? — evaluation of these systems, especially in the academic context, is lacking. Folks have gotten all wound-up about scalability, despite the fact that scalability is just a means to an end (performance, capacity). When we actually look at performance, the benefits the scalable systems bring start to look much more sketchy. We’d like that to change.
Reset (Rowan Simpson) — It was a bit chilling to go back over a whole years worth of tweets and discover how many of them were just junk. Visiting the water cooler is fine, but somebody who spends all day there has no right to talk of being full.
Google’s AI Brain — on the subject of Google’s AI ethics committee … Q: Will you eventually release the names? A: Potentially. That’s something also to be discussed. Q: Transparency is important in this too. A: Sure, sure. Such reassuring.
AVA is now Open Source (Laura Bell) — Assessment, Visualization and Analysis of human organisational information security risk. AVA maps the realities of your organisation, its structures and behaviors. This map of people and interconnected entities can then be tested using a unique suite of customisable, on-demand, and scheduled information security awareness tests.
Deep Learning for Torch (Facebook) — Facebook AI Research open sources faster deep learning modules for Torch, a scientific computing framework with wide support for machine learning algorithms.