- uitable — cute library for tabular data in console golang programs.
- Did Carnegie Mellon Attack Tor for the FBI? (Bruce Schneier) — The behavior of the researchers is reprehensible, but the real issue is that CERT Coordination Center (CERT/CC) has lost its credibility as an honest broker. The researchers discovered this vulnerability and submitted it to CERT. Neither the researchers nor CERT disclosed this vulnerability to the Tor Project. Instead, the researchers apparently used this vulnerability to deanonymize a large number of hidden service visitors and provide the information to the FBI. Does anyone still trust CERT to behave in the Internet’s best interests? Analogous to the CIA organizing a fake vaccination drive to get close to Osama. “Intelligence” agencies.
- Google Open-Sourcing TensorFlow Shows AI’s Future is Data not Code (Wired) — something we’ve been saying for a long time.
- Challenges of Working Remote (Moishe Lettvin) — the things that make working remote hard aren’t, primarily, logistical; they’re emotional.
"deep learning" entries
The O'Reilly Radar Podcast: Narrative Science's foray into proprietary business data and bridging the data gap.
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In this week’s episode, O’Reilly’s Mac Slocum chats with Kristian Hammond, Narrative Science’s chief scientist. Hammond talks about Natural Language Generation, Narrative Science’s shift into the world of business data, and evolving beyond the dashboard.
Here are a few highlights:
We’re not telling people what the data are; we’re telling people what has happened in the world through a view of that data. I don’t care what the numbers are; I care about who are my best salespeople, where are my logistical bottlenecks. Quill can do that analysis and then tell you — not make you fight with it, but just tell you — and tell you in a way that is understandable and includes an explanation about why it believes this to be the case. Our focus is entirely, a little bit in media, but almost entirely in proprietary business data, and in particular we really focus on financial services right now.
You can’t make good on that promise [of what big data was supposed to do] unless you communicate it in the right way. People don’t understand charts; they don’t understand graphs; they don’t understand lines on a page. They just don’t. We can’t be angry at them for being human. Instead we should actually have the machine do what it needs to do in order to fill that gap between what it knows and what people need to know.