- Cello CAD — Verilog-like compiler that emits DNA sequences. Github repo has more, and Science paper forthcoming.
- Privacy-Preserving Read Mapping Using Locality Sensitive Hashing and Secure Kmer Voting — crypographically preserved privacy when using cloud servers for read alignment as part of genome sequencing.
- How to Network in Five Easy Steps (Courtney Johnston) — aimed at arts audience, but just as relevant to early-career tech folks.
- Quantified Baby — The idea of self-tracking for children raises thorny questions of control and consent, Nafus said. Among hard-core practitioners, the idea has not really taken off, even as related products have started hitting the market.
Problems arise when data is taken out of social contexts.
The application of user data is pushing at the edges of cultural norms. That can be a positive, but finding "the line" requires adherence to a few simple and clear guidelines.
How do we build satisfying connections back into our lives without the superficiality of automated sharing?
We're at a point in privacy's evolution where sanitized tech solutions are clumsily attempting to introduce (or reintroduce) human connections into our experiences.
When you take the friction out of sharing, you also remove the value.
If you want to tell me what you listen to, I care. But if sharing is nothing more than a social application feed that's constantly updated without your volition, then it's just another form of spam.
Smart Thermostat, Lamer News, Expensive Meaning, and Hardware Kits
- Nest Learning Thermostat — learns how long it takes your house to adjust temperature, so can tell you not just “it’s 55 now” but “it’ll be 65 in 16 minutes”. Looks gorgeous as well as being a good example of embedded intelligence. Data really does make everything better.
- lamernews (Github) — an implementation of a Reddit / Hacker News style news web site written using Ruby, Sinatra, Redis and jQuery.
- Information is Cheap, Meaning is Expensive — interview with George Dyson. That quote is a wonderful summary of why data is important. But George also says: The danger is not that machines are advancing. The danger is that we are losing our intelligence if we rely on computers instead of our own minds. On a fundamental level, we have to ask ourselves: Do we need human intelligence? And what happens if we fail to exercise it? (via Mathew Ingram)
- Cubelets, Littlebits, and Others (Russell Davies) — he’s been playing with some sweet hardware kits. It’s not new and surprising behaviour in a toy and it’s not unbuildable with Lego or Mecanno. But there’s something different and good about being able to do it so quickly, roughly and spontaneously – throwing bits together and getting behaviour out. Not following instructions or typing laboriously. That ease makes it magical and educational – you start to understand the functions of things as a builder not a thinker. (Slightly, you know, slightly – at a lego level, not at a 5-year engineering degree level, but it’s a start.)
Our fragile modern systems, the G+ Effect, and science gets democratized.
This week on O'Reilly: The fragility of our modern systems was made clear to Tim O'Reilly during a recent trip, Jonathan Reichental defined the G+ Effect, and we learned what can happen when the barriers to scientific exploration come down.
A social layer on book sites would help readers, retailers and publishers.
What if you could take the social aspects of brick-and-mortar bookstores and blend them with the convenience of online sales? Joe Wikert explains how an online social layer would benefit everyone involved in the publishing chain.
Of all the Google social efforts, Plus has the best chance of making something great.
Google has been dinged for being engineer-driven and not having the design sense of Apple or the agility of Facebook. Plus represents a significant change in how they approach and release product, so it's worth stepping back to see how it stacks up.
O'Reilly CIO Jonathan Reichental on how tech will shape the workforce.
In this presentation, O'Reilly CIO Jonathan Reichental discusses a range of future technology trends and what it will mean for work and the workforce.