Four short links: 17 November 2015

Remix Contest, Uber Asymmetry, Language Learning, and Continuous Delivery

1. GIF It Up — very clever remix campaign to use heritage content—Friday is your last day to enter this year’s contest, so get creating! My favourite.
2. Uber’s Drivers: Information Asymmetries and Control in Dynamic WorkOur conclusions are two-fold: first, that the information asymmetries produced by Uber’s system are fundamental to its ability to structure indirect control over its workers; and second, that Uber relies heavily on the evolving rhetoric of the algorithm to justify these information asymmetries to drivers, riders, as well as regulators and outlets of public opinion.
3. ANNABELL — unsupervised language learning using artificial neural networks, install your own four year old. The paper explains how.
4. Spinnakeran open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.

Four short links: 28 October 2015

DRM-Breaking Broken, IT Failures, Social Graph Search, and Dataviz Interview

1. Librarian of Congress Grants Limited DRM-Breaking Rights (Cory Doctorow) — The Copyright Office said you will be able to defeat locks on your car’s electronics, provided: You wait a year first (the power to impose waiting times on exemptions at these hearings is not anywhere in the statute, is without precedent, and has no basis in law); You only look at systems that do not interact with your car’s entertainment system (meaning that car makers can simply merge the CAN bus and the entertainment system and get around the rule altogether); Your mechanic does not break into your car — only you are allowed to do so. The whole analysis is worth reading—this is not a happy middle-ground; it’s a mess. And remember: there are plenty of countries without even these exemptions.
2. Lessons from a Decade of IT Failures (IEEE Spectrum) — full of cautionary tales like, Note: No one has an authoritative set of financials on ECSS. That was made clear in the U.S. Senate investigation report, which expressed frustration and outrage that the Air Force couldn’t tell it what was spent on what, when it was spent, nor even what ECSS had planned to spend over time. Scary stories to tell children at night.
3. Unicorn: A System for Searching the Social Graph (Facebook) — we describe the data model and query language supported by Unicorn, which is an online, in-memory social graph-aware indexing system designed to search trillions of edges between tens of billions of users and entities on thousands of commodity servers. Unicorn is based on standard concepts in information retrieval, but it includes features to promote results with good social proximity. It also supports queries that require multiple round-trips to leaves in order to retrieve objects that are more than one edge away from source nodes.
4. Alberto Cairo InterviewSo, what really matters to me is not the intention of the visualization – whether you created it to deceive or with the best of intentions; what matters is the result: if the public is informed or the public is misled. In terms of ethics, I am a consequentialist – meaning that what matters to me ethically is the consequences of our actions, not so much the intentions of our actions.

Four short links: 12 October 2015

Unattended Robots, Replicable Economics, Deep Learning Learnings, and TPP Problems

1. Acquiring Object Experiences at Scale — software to let a robot examine a pile of objects, unattended overnight.
2. Economics Apparently Not Replicable (PDF) — We successfully replicate the key qualitative result of 22 of 67 papers (33%) without contacting the authors. Excluding the six papers that use confidential data and the two papers that use software we do not possess, we replicate 29 of 59 papers (49%) with assistance from the authors. Because we are able to replicate less than half of the papers in our sample even with help from the authors, we assert that economics research is usually not replicable.
3. 26 Things I Learned in the Deep Learning Summer School20. When Frederick Jelinek and his team at IBM submitted one of the first papers on statistical machine translation to COLING in 1988, they got the following anonymous review: The validity of a statistical (information theoretic) approach to MT has indeed been recognized, as the authors mention, by Weaver as early as 1949. And was universally recognized as mistaken by 1950 (cf. Hutchins, MT – Past, Present, Future, Ellis Horwood, 1986, p. 30ff and references therein). The crude force of computers is not science. The paper is simply beyond the scope of COLING.
4. The Final Leaked TPP Text is All That We Feared (EFF) — If you dig deeper, you’ll notice that all of the provisions that recognize the rights of the public are non-binding, whereas almost everything that benefits rightsholders is binding.

Four short links: 10 September 2015

Decentralised Software, Slow Chemistry, Spectrum Maps, and RF Interference

1. Popcorn Time — interview with the creator. All the elements we used already existed and had done so for a long time. But nobody had put them together in an interface that talked to the user in a nice way, said Abad. Very Anonymous approach to software: Who are you going to sue? The first? The second? The third? I did the design. Was it illegal? I didn’t link the various parts together. There is no comprehensive overview of who did what. For we don’t have any business. We don’t have any headquarters or a general manager.
2. Slow Chemistry (Nature) — “lazy man’s chemistry”: let a mix of solid reactants sit around undisturbed while they spontaneously transform themselves. More properly called slow chemistry, or even just ageing, the approach requires few, if any, hazardous solvents and uses minimal energy. If planned properly, it also consumes all the reagents in the mix, so that there is no waste and no need for chemical-intensive purification.
3. Mapping the Spectrum in the Mission — SDR scanner to make a map of spectrum activity.
4. Electronic Noise is Drowning Out the Internet of Things (IEEE Spectrum) — (paraphrasing) increases deployment costs, decreases battery life, creates interference, ruins policies of spectrum allocation, is expensive to trace, and almost impossible stop.

Four short links: 5 August 2015

1. Theft, Lies, and Facebook Video (Medium) — inexcusable that Facebook, a company with a market cap of $260 BILLION, launched their video platform with no system to protect independent rights holders. It wouldn’t be surprising if Facebook was working on a solution now, which they can roll out conveniently after having made their initial claims at being the biggest, most important thing in video. In the words of Gillian Welch, “I wanna do right, but not right now. 2. The Web We Have to SaveNearly every social network now treats a link just the same as it treats any other object — the same as a photo, or a piece of text — instead of seeing it as a way to make that text richer. You’re encouraged to post one single hyperlink and expose it to a quasi-democratic process of liking and plussing and hearting: Adding several links to a piece of text is usually not allowed. Hyperlinks are objectivized, isolated, stripped of their powers. 3. California Regulator Pushing for All Cars to be Electric (Bloomberg) — Nichols really does intend to force au­tomakers to eventually sell nothing but electrics. In an interview in June at her agency’s heavy-duty-truck laboratory in downtown Los Angeles, it becomes clear that Nichols, at age 70, is pushing regulations today that could by midcentury all but banish the internal combustion engine from California’s famous highways. “If we’re going to get our transportation system off petroleum,” she says, “we’ve got to get people used to a zero-emissions world, not just a little-bit-better version of the world they have now.” How long until the same article is written, but about driverless cars? 4. LLVM for Grad Students — fast intro to why LLVM is interesting. LLVM is a great compiler, but who cares if you don’t do compilers research? A compiler infrastructure is useful whenever you need to do stuff with programs. Four short links: 27 July 2015 Google’s Borg, Georgia v. Malamud, SLAM-aware system, and SmartGPA 1. Large-scale Cluster Management at Google with BorgGoogle’s Borg system is a cluster manager that runs hundreds of thousands of jobs, from many thousands of different applications, across a number of clusters, each with up to tens of thousands of machines. […] We present a summary of the Borg system architecture and features, important design decisions, a quantitative analysis of some of its policy decisions, and a qualitative examination of lessons learned from a decade of operational experience with it. 2. Georgia Sues Carl Malamud (TechDirt) — for copyright infringement… for publishing an official annotated copy of the state's laws. […] the state points directly to the annotated version as the official laws of the state. 3. Monocular SLAM Supported Object Recognition (PDF) — a monocular SLAM-aware object recognition system that is able to achieve considerably stronger recognition performance, as compared to classical object recognition systems that function on a frame-by-frame basis. (via Improving Object Recognition for Robots) 4. SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students (PDF) — We show that there are a number of important behavioral factors automatically inferred from smartphones that significantly correlate with term and cumulative GPA, including time series analysis of activity, conversational interaction, mobility, class attendance, studying, and partying. Four short links: 22 July 2015 Smart Headlights, Habitual Speed, AI Authors, and Programming Language Evolution 1. Ford’s Smart Headlights — spotlights targeted by infra-red, and accumulating knowledge of fixed features to illuminate. Wonder what an attacker can do to it? 2. Speed as a HabitYou don’t have to be militant about it, just consistently respond that today is better than tomorrow, that right now is better than six hours from now. This is chock full of good advice, and the occasional good story. 3. Coding Creativity: Copyright and the Artificially Intelligent Author (PDF) — if AI creates cultural works (e.g., DeepDream images), who owns those works? Suggests that “work for hire” doctrine may be the way to answer that in the future. (via Andreas Schou) 4. Punctuated Equilibrium in the Large-Scale Evolution of Programming Languages (PDF) — Here we study the large-scale historical development of programming languages, which have deeply marked social and technological advances in the last half century. We analyse their historical connections using network theory and reconstructed phylogenetic networks. Using both data analysis and network modeling, it is shown that their evolution is highly uneven, marked by innovation events where new languages are created out of improved combinations of different structural components belonging to previous languages. These radiation events occur in a bursty pattern and are tied to novel technological and social niches. The method can be extrapolated to other systems and consistently captures the major classes of languages and the widespread horizontal design exchanges, revealing a punctuated evolutionary path. (via Jarkko Hietaniemi) Four short links: 6 April 2015 Disruption, Copyright Investment, Max Headroom, and Right to Tinker 1. The Difference Between Direct Competition and DisruptionAs the ships grow, their engines have become vastly more efficient and sophisticated, the fuel mix has changed, and complex IT infrastructure has been put in place to coordinate the movement of the containers and ships. But fundamentally, the underlying cost structure of the business has not changed from 1950, when the first container ships carried a mere 500 to 800 containers across the world. (via Salim Virani) 2. The Impact of Copyright Policy Changes on Venture Capital Investment in Cloud Computing Companies (PDF) — Our findings suggest that decisions around the scope of copyrights can have significant impacts on investment and innovation. We find that VC investment in cloud computing firms increased significantly in the U.S. relative to the EU after the Cablevision decision. Our results suggest that the Cablevision decision led to additional incremental investment in U.S. cloud computing firms that ranged from$728 million to approximately $1.3 billion over the two-and-a-half years after the decision. When paired with the findings of the enhanced effects of VC investment relative to corporate investment, this may be the equivalent of$2 to \$5 billion in traditional R&D investment.
3. Max Headroom Oral History“Anybody under the age of 25 just loved it. And anybody above that age was just completely confused.”
4. Auto Makers Say You Don’t Own Your Car (EFF) — Most of the automakers operating in the U.S. filed opposition comments through trade associations, along with a couple of other vehicle manufacturers. They warn that owners with the freedom to inspect and modify code will be capable of violating a wide range of laws and harming themselves and others. They say you shouldn’t be allowed to repair your own car because you might not do it right. They say you shouldn’t be allowed to modify the code in your car because you might defraud a used car purchaser by changing the mileage. They say no one should be allowed to even look at the code without the manufacturer’s permission because letting the public learn how cars work could help malicious hackers, “third-party software developers” (the horror!), and competitors.

Four short links: 24 March 2015

Tricorder Prototype, Web Performance, 3D Licensing, and Network Simulation

1. Tricorder Prototypecollar+earpiece, base station, diagnostic stick (lab tests for diabetes, pneumonia, tb, etc), and scanning wand (examine lesions, otoscope for ears, even spirometer). (via Slashdot)
2. Souders Joins SpeedcurveDuring these engagements, I’ve seen that many of these companies don’t have the necessary tools to help them identify how performance is impacting (hurting) the user experience on their websites. There is even less information about ways to improve performance. The standard performance metric is page load time, but there’s often no correlation between page load time and the user’s experience. We need to shift from network-based metrics to user experience metrics that focus on rendering and when content becomes available. That’s exactly what Mark is doing at SpeedCurve, and why I’m excited to join him.