- The Secrets of Surveillance Capitalism — The assault on behavioral data is so sweeping that it can no longer be circumscribed by the concept of privacy and its contests. […] First, the push for more users and more channels, services, devices, places, and spaces is imperative for access to an ever-expanding range of behavioral surplus. Users are the human nature-al resource that provides this free raw material. Second, the application of machine learning, artificial intelligence, and data science for continuous algorithmic improvement constitutes an immensely expensive, sophisticated, and exclusive 21st century “means of production.” Third, the new manufacturing process converts behavioral surplus into prediction products designed to predict behavior now and soon. Fourth, these prediction products are sold into a new kind of meta-market that trades exclusively in future behavior. The better (more predictive) the product, the lower the risks for buyers, and the greater the volume of sales. Surveillance capitalism’s profits derive primarily, if not entirely, from such markets for future behavior. (via Simon St Laurent)
- Thunder — Spark-driven analysis from Jupyter notebooks (open source).
- Hacking Mobile Phones Using 2D-Printed Fingerprints (PDF) — equipment costs less than $450, and all you need is a photo of the fingerprint. (like those of government employees stolen en masse last year)
- SSHKeyDistribut0r (Github) — A tool to automate key distribution with user authorization […] for sysop teams.
Four short links: 9 March 2016
Surveillance Capitalism, Spark in Jupyter, Spoofing Fingerprints, and Distributing SSH Keys
tags: biometrics, business, data science, devops, money, open source, privacy, security, surveillance