- Core Bitcoin Devs Leave — According to a press release put out by Company 0 LLC, formed by former bitcoin developers, there are a few external entities that fund the actual development of the bitcoin cryptocurrency, forming a power-group that is in sole command of the direction the currency takes. These developers say that this group limits outside input in the currency’s governance, cherry-picks only options favorable for their own interests, and generally ignores the developers’ and community’s best interests.
- Internet of Proprietary Things — wonderfully accessible list of things we don’t have: Because companies can enforce anti-competitive behavior this way, there’s a litany of things that just don’t exist, even though they would make life easier for consumers in significant ways. You can’t have custom software for your cochlear implant, or your programmable thermostat, or your computer-enabled Barbie doll. An auto-repair shop can’t design a better diagnostic system that interfaces with a car’s computers. Capturing all the value you create, versus creating more value than you capture.
- Tracing the Dynabook — a historical study of the Dynabook project and vision, which began as a blue-sky project to define personal and educational computing at Xerox PARC in the 1970s. It traces the idea through the three intervening decades, noting the transformations that occur as the vision and its artifacts meet varying contexts. (via Bret Victor)
- Fault Tree Analysis (FTA): Concepts and Applications (PDF) — 194 slides from NASA. (via Mara Tam)
"open source" entries
The O'Reilly Radar Podcast: A special holiday cross-over of the O'Reilly Data Show Podcast.
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In this special holiday episode of the Radar Podcast, we’re featuring a cross-over of the O’Reilly Data Show Podcast, which you can find on iTunes, Stitcher, TuneIn, or SoundCloud. O’Reilly’s Ben Lorica hosts that podcast, and in this episode, he chats with Apache Spark release manager and Databricks co-founder Patrick Wendell about the roadmap of Spark and where it’s headed, and interesting applications he’s seeing in the growing Spark ecosystem.
Here are some highlights from their chat:
We were really trying to solve research problems, so we were trying to work with the early users of Spark, getting feedback on what issues it had and what types of problems they were trying to solve with Spark, and then use that to influence the roadmap. It was definitely a more informal process, but from the very beginning, we were expressly user driven in the way we thought about building Spark, which is quite different than a lot of other open source projects. … From the beginning, we were focused on empowering other people and building platforms for other developers.
One of the early users was Conviva, a company that does analytics for real-time video distribution. They were a very early user of Spark, they continue to use it today, and a lot of their feedback was incorporated into our roadmap, especially around the types of APIs they wanted to have that would make data processing really simple for them, and of course, performance was a big issue for them very early on because in the business of optimizing real-time video streams, you want to be able to react really quickly when conditions change. … Early on, things like latency and performance were pretty important.