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.
How Not to be Wrong: The Power of Mathematical Thinking (Amazon) — Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. (via Pam Fox)
What Turing Himself Said About the Imitation Game (IEEE) — fascinating history. The second myth is that Turing predicted a machine would pass his test around the beginning of this century. What he actually said on the radio in 1952 was that it would be “at least 100 years” before a machine would stand any chance with (as Newman put it) “no questions barred.”
Running Effective Retrospectives — Each change to the team’s workflow is treated as a scientific experiment, whereby a hypothesis is formed, data collected, and expectations compared with actual results.
IRS Finally Agrees to Release Non-Profit Records (BoingBoing) — Today, the IRS released a statement saying they’re going to do what we’ve been hoping for, saying they are going to release e-file data and this is a “priority for the IRS.” Only took $217,000 in billable lawyer hours (pro bono, thank goodness) to get there.
Compiler Errors for Humans — it’s so important, and generally underbaked in languages. A decade or more ago, I was appalled by Python’s errors after Perl’s very useful messages. Today, appreciating Go’s generally handy errors. How a system handles the operational failures that will inevitably occur is part and parcel of its UX.
Surgery Lag Time (ComputerWorld) — doctors trialling very remote surgery (1200 miles) with a simulator, to see what naglag is acceptable. At 200 milliseconds, surgeons could not detect a lag time. From 300 to 500 milliseconds, some surgeons could detect lag time, but they were able to compensate for it by pausing their movement. But at 600 milliseconds, most surgeons became insecure about their ability to perform a procedure, Smith said.
Clippy Lessons (The Atlantic) — focus groups showed women hated it, engineers threw out the data, and after it shipped … It turned out to be one of the most unpopular features ever introduced—especially among female users.
Telegram’s Bot Platform — Bots are simply Telegram accounts operated by software – not people – and they’ll often have AI features. They can do anything – teach, play, search, broadcast, remind, connect, integrate with other services, or even pass commands to the Internet of Things. (via Matt Webb)
New Wave of US Companies in China (Quartz) — Evernote and LinkedIn let the Chinese government access data and censor results. Smith believes that LinkedIn and Evernote are setting a dangerous precedent for other internet firms eying the Middle Kingdom. “More US companies are going to decide that treating the Chinese like second class information citizens is fine,” he says.
MarI/O (YouTube) — clear explanation of how an evolutionary algorithm figures out how to play Mario.
Google’s Monastic Vision for the Future of Work (New Yorker) — But it turns out that future-proofed life looks a lot like the vacuum-packed present. […] Inside, it is about turning Google into not only a lifestyle but a fully realized life. The return of the Company Town.
MapD: Massive Throughput Database Queries with LLVM and GPUs (nvidia) — The most powerful GPU currently available is the NVIDIA Tesla K80 Accelerator, with up to 8.74 teraflops of compute performance and nearly 500 GB/sec of memory bandwidth. By supporting up to eight of these cards per server, we see orders-of-magnitude better performance on standard data analytics tasks, enabling a user to visually filter and aggregate billions of rows in tens of milliseconds, all without indexing.
Why It’s Often Easier to Innovate in China than the US (Bunnie Huang) — We did some research into the legal frameworks and challenges around absorbing gongkai IP into the Western ecosystem, and we believe we’ve found a path to repatriate some of the IP from gongkai into proper open source.
Facebook Bluetooth Beacons — free for you to use and help people see more information about your business whenever they use Facebook during their visit.
Industry 4.0 — stop gagging at the term. Interesting examples of connectivity and data improving manufacturing. Human-machine interfaces: Logistics company Knapp AG developed a picking technology using augmented reality. Pickers wear a headset that presents vital information on a see-through display, helping them locate items more quickly and precisely. And with both hands free, they can build stronger and more efficient pallets, with fragile items safeguarded. An integrated camera captures serial and lot ID numbers for real-time stock tracking. Error rates are down by 40%, among many other benefits. Digital-to-physical transfer: Local Motors builds cars almost entirely through 3-D printing, with a design crowdsourced from an online community. It can build a new model from scratch in a year, far less than the industry average of six. Vauxhall and GM, among others, still bend a lot of metal, but also use 3-D printing and rapid prototyping to minimize their time to market. (via Quartz)
runC — a lightweight universal runtime container, by the Open Container Project. (OCP = multi-vendor initiative in hands of Linux Foundation)
Power Analysis of a Typical Psychology Experiment (Tom Stafford) — What this means is that if you don’t have a large effect, studies with between groups analysis and an n of less than 60 aren’t worth running. Even if you are studying a real phenomenon you aren’t using a statistical lens with enough sensitivity to be able to tell. You’ll get to the end and won’t know if the phenomenon you are looking for isn’t real or if you just got unlucky with who you tested.
The Future of Data at Scale — Data curation, on the other hand, is “the 800-pound gorilla in the corner,” says Stonebraker. “You can solve your volume problem with money. You can solve your velocity problem with money. Curation is just plain hard.” The traditional solution of extract, transform, and load (ETL) works for 10, 20, or 30 data sources, he says, but it doesn’t work for 500. To curate data at scale, you need automation and a human domain expert.
Why Are We Still Explaining? (Stephen Walli) — Within 24 hours we received our first righteous patch. A simple 15-line change that provided a 10% boost in Just-in-Time compiler performance. And we politely thanked the contributor and explained we weren’t accepting changes yet. Another 24 hours and we received the first solid bug fix. It was golden. It included additional tests for the test suite to prove it was fixed. And we politely thanked the contributor and explained we weren’t accepting changes yet. And that was the last thing that was ever contributed.
Computational Journalism — Google awards to projects around computational journalism. Sample: The goal of the project is to automatically build topic “event threads” that will help journalists and citizens decode claims made by public figures, in order to distinguish between personal opinion, communication tools, and voluntary distortions of the reality.
Editing the Software of Life — research yielding the ability to edit DNA has spawned a new set of biotech startups, and a patent morass. Zhang already holds the first of several vital and broad patents covering cas9 genome editing. Yet, Doudna and Charpentier had filed patent applications covering similar ground earlier than Zhang.
The Internet of Things That Do What You Tell Them: Cory Doctorow passionately explains how computers are already entwined in our lives, which means laws that support lock-in are much more than inconveniences.