"future" entries

Four short links: 26 August 2015

Four short links: 26 August 2015

World SF, Digital Currency Scholarships, Project Management, and Glass 3D Printing

  1. The Apex Book of World SF 4 (Amazon) — if SF invents the future by shaping and directing our imagination, and if you believe that non-American cultures will ascend over time, then it behooves you to sample this collection of SF from beyond the usual. (via Cory Doctorow)
  2. Diversity Scholarships Available — to Digital Consensus 2015, a conference on digital currency. Apply or tell someone who is eligible.
  3. Making Huge Projects Work (Amy Hoy) — the description of her workflow for modest and monster projects was useful to me, and may be to you as well. I think the real question is “where do we get an Alex of our own?” [Note: swearing]
  4. Additive Manufacturing of Optically Transparent Glass (PDF) — yes, a 3D printer that emits glass. Check out the videos on IFL Science.
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Four short links: 17 August 2015

Four short links: 17 August 2015

Fix the Future, Hack a Dash, Inside a $50 Smartphone, and Smartphone Sensors

  1. Women in Science Fiction Bundle — pay-what-you-want bundle of SF written by women. SF shapes invention, but it’s often a future filled with square-jawed men and chiseled Space Desperados, with women relegated to incidental roles. And lo, the sci-tech industry evolved brogrammers. This bundle is a good start toward a cure. Dare to imagine a future where women are people, too. (via Cory Doctorow)
  2. How I Hacked Amazon’s $5 WiFi Button to track Baby Data (Ed Benson) — Dash Buttons are small $5 plastic buttons with a battery and a WiFi connection inside. I’m going to show you how to hijack and use these buttons for just about anything you want. (via Flowing Data)
  3. The Realities of a $50 Smartphone (Engadget) — it can be done, but it literally won’t be pretty. If this thought experiment has revealed anything, it’s that there’s no such thing as a profit in the Android world any more.
  4. The Pocket Lab — a wireless sensor for smartphones that measures acceleration, force, angular velocity, magnetic field, pressure, altitude, and temperature.
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Four short links: 5 March 2015

Four short links: 5 March 2015

Web Grain, Cognition and Computation, New Smart Watch, and Assessing Accuracy

  1. The Web’s Grain (Frank Chimero) — What would happen if we stopped treating the web like a blank canvas to paint on, and instead like a material to build with?
  2. Bruce Sterling on Convergence of Humans and MachinesI like to use the terms “cognition” and “computation”. Cognition is something that happens in brains, physical, biological brains. Computation is a thing that happens with software strings on electronic tracks that are inscribed out of silicon and put on fibre board. They are not the same thing, and saying that makes the same mistake as in earlier times, when people said that human thought was like a steam engine.
  3. Smart Pocket Watch — I love to see people trying different design experiences. This is beautiful. And built on Firefox OS!
  4. Knowledge-Based Trust (PDF) — Google research paper on how to assess factual accuracy of web page content. It was bad enough when Google incentivised people to make content-free pages. Next there’ll be a reward for scamming bogus facts into Google’s facts database.
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Four short links: 2 March 2015

Four short links: 2 March 2015

Onboarding UX, Productivity Vision, Bad ML, and Lifelong Learning

  1. User Onboarding Teardowns — the UX of new users. (via Andy Baio)
  2. Microsoft’s Productivity Vision — always-on thinged-up Internet everywhere, with predictions and magic by the dozen.
  3. Machine Learning Done WrongWhen dealing with small amounts of data, it’s reasonable to try as many algorithms as possible and to pick the best one since the cost of experimentation is low. But as we hit “big data,” it pays off to analyze the data upfront and then design the modeling pipeline (pre-processing, modeling, optimization algorithm, evaluation, productionization) accordingly.
  4. Ten Simple Rules for Lifelong Learning According to Richard Hamming (PLoScompBio) — Exponential growth of the amount of knowledge is a central feature of the modern era. As Hamming points out, since the time of Isaac Newton (1642/3-1726/7), the total amount of knowledge (including but not limited to technical fields) has doubled about every 17 years. At the same time, the half-life of technical knowledge has been estimated to be about 15 years. If the total amount of knowledge available today is x, then in 15 years the total amount of knowledge can be expected to be nearly 2x, while the amount of knowledge that has become obsolete will be about 0.5x. This means that the total amount of knowledge thought to be valid has increased from x to nearly 1.5x. Taken together, this means that if your daughter or son was born when you were 34 years old, the amount of knowledge she or he will be faced with on entering university at age 17 will be more than twice the amount you faced when you started college.
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Four short links: 26 February 2015

Four short links: 26 February 2015

Autocompletion, Colliding Trends, Microservices, and Writing Useful Code

  1. awesomplete — MIT-licensed ultra lightweight, usable, beautiful autocomplete with zero dependencies in Javascript.
  2. How to Seize the Opportunities when Megatrends Collide — excuse the cheesy title, the chart from PwC showing pairwise combination of trends, is interesting.
  3. Adopting Microservices at Netflix: Lessons for Architectural Designyou want to think of servers like cattle, not pets. If you have a machine in production that performs a specialized function, and you know it by name, and everyone gets sad when it goes down, it’s a pet. Instead you should think of your servers like a herd of cows. What you care about is how many gallons of milk you get. If one day you notice you’re getting less milk than usual, you find out which cows aren’t producing well and replace them. People for Ethical Treatment of Iron, your time has come!
  4. Your Job is Not to Write Code (Laura Klein) — I know what you’re thinking. This will all take so long! I’ll be so much less effective! This isn’t true. You’ll be far more effective because you will actually be doing your job. Amen to it all.
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Four short links: 18 February 2015

Four short links: 18 February 2015

Sales Automation, Clone Boxes, Stats Style, and Extra Orifices

  1. Systematising Sales with Software and Processes — sweet use of Slack as UI for sales tools.
  2. Duplicate SSH Keys EverywhereIt looks like all devices with the fingerprint are Dropbear SSH instances that have been deployed by Telefonica de Espana. It appears that some of their networking equipment comes set up with SSH by default, and the manufacturer decided to reuse the same operating system image across all devices.
  3. Style.ONS — UK govt style guide covers the elements of writing about statistics. It aims to make statistical content more open and understandable, based on editorial research and best practice. (via Hadley Beeman)
  4. Warren Ellis on the Apple WatchI, personally, want to put a gold chain on my phone, pop it into a waistcoat pocket, and refer to it as my “digital fob watch” whenever I check the time on it. Just to make the point in as snotty and high-handed a way as possible: This is the decadent end of the current innovation cycle, the part where people stop having new ideas and start adding filigree and extra orifices to the stuff we’ve got and call it the future.
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Four short links: 5 February 2015

Four short links: 5 February 2015

Mobile Supply Chain, Regulating the Interwebs, Meh MOOCs, and Security School

  1. The Home and the Mobile Supply Chain (Benedict Evans) — the small hardware start-up, and the cool new gizmos from drones to wearables, are possible because of the low price of components built at the scale required for Apple and other mobile device makers. (via Matt Webb)
  2. FCC Chairman Wheeler Proposes New Rules for Protecting the Open Internet (PDF) — America may yet have freedom. No blocking, no throttling, no paid prioritisation.
  3. The Future of College (Bill Gates) — The MOOC, by itself, doesn’t really change things, except for the very most motivated student. HALLELUJAH!
  4. Breaker 101 — 12-week online security course. $1,750 (cue eyes water). Putting the hacker back in hacker schools …
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Four short links: 26 January 2015

Four short links: 26 January 2015

Coding in VR, Git Workflows, Programming as Bookkeeping, and Valuing People

  1. How Might We Code in VR? — caught my eye because I’m looking for ideas on how to think about interaction design in the holoculus world.
  2. Git Workflows for Pros — non-developers don’t understand how important this is to productivity.
  3. All Programming is Bookkeeping — approach programming as a bookkeeping problem: checks and balances.
  4. 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.
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Four short links: 23 January 2015

Four short links: 23 January 2015

Investment Themes, Python Web Mining, Code Review, and Sexist Brilliance

  1. 16 Andreessen-Horowitz Investment Areas — I’m struck by how they’re connected: there’s a cluster around cloud development, there are two maybe three on sensors …
  2. Patterna 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.
  3. Code Review — FogCreek’s code review checklist.
  4. Expectations of Brilliance Underlie Gender Distributions Across Academic Disciplines (Science) — Surveys revealed that some fields are believed to require attributes such as brilliance and genius, whereas other fields are believed to require more empathy or hard work. In fields where people thought that raw talent was required, academic departments had lower percentages of women. (via WaPo)
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Four short links: 9 July 2014

Four short links: 9 July 2014

Developer Inequality, Weak Signals, Geek Feminism Wiki, and Reidentification Risks

  1. Developer Inequality (Jonathan Edwards) — The bigger injustice is that programming has become an elite: a vocation requiring rare talents, grueling training, and total dedication. The way things are today if you want to be a programmer you had best be someone like me on the autism spectrum who has spent their entire life mastering vast realms of arcane knowledge — and enjoys it. Normal humans are effectively excluded from developing software. (via Slashdot)
  2. Signals From Foo Camp (O’Reilly Radar) — useful for me (aka “the stuff I didn’t get to see”), hopefully useful to you too. Companies outside of Silicon Valley badly want to understand it and want to find ways to truly collaborate with it, but they’re worried that conversations can turn into competition. “Old industry” has incredible expertise and operates in very complex environments, and it has much to teach tech, if tech will listen. Silicon Valley isn’t an IT department for the world, it’s the competition.
  3. Feminist Point of View: Lessons from Running the Geek Feminism Wiki — deck from Alex’s OS Bridge session. Today’s awareness and actions around sexism in tech resulted from their actions, sometimes directly, sometimes indirectly.
  4. Big Data Should Not Be a Faith-Based Initiative (Cory Doctorow) — Re-identification is part of the Big Data revolution: among the new meanings we are learning to extract from huge corpuses of data is the identity of the people in that dataset. And since we’re commodifying and sharing these huge datasets, they will still be around in ten, twenty and fifty years, when those same Big Data advancements open up new ways of re-identifying — and harming — their subjects.
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