- The Delusions of Big Data (IEEE) — When you have large amounts of data, your appetite for hypotheses tends to get even larger. And if it’s growing faster than the statistical strength of the data, then many of your inferences are likely to be false. They are likely to be white noise.
- ROSCON 2014 — slides and videos of talks from Chicago open source robotics conference.
- Making Sure Crypto Stays Insecure (PDF) — Daniel J. Bernstein talk: This talk is actually a thought experiment: how could an attacker manipulate the ecosystem for insecurity?
- Material Design Icons — Google’s CC-licensed (attribution, sharealike) collection of sweet, straightforward icons.
ENTRIES TAGGED "open source"
Your data is telling you what you need to know about turnover and age
To really grasp a free/open source software project, you need to know how the community that develops and supports it is evolving. Attracting lots of new members will be a reason for celebrating success in a young project — but you should also check whether they stick around for a long time. In mature projects, however, you can afford not attracting many new members, as long as you are retaining old ones. The ratio of experienced, long-term members to recent ones also tells you about the quality of the code and need to support members.