RT @theintercept: “We need ironclad, enforceable protections for whistleblowers and a public record of success stories”
RT @froomkin: That time the guy in charge of protecting NSA whistleblowers became a whistleblower
RT @froomkin: That time the guy in charge of protecting NSA whistleblowers became a whistleblower
RT @bfmbusiness: Bayer fait une offre de 62 milliards de dollars pour racheter Monsanto
RT @bfmbusiness: Bayer fait une offre de 62 milliards de dollars pour racheter Monsanto
RT @ARetVet: The CIA helped produce an episode of ’Top Chef’: via @vicenews
RT @ARetVet: The CIA helped produce an episode of 'Top Chef': via @vicenews
RT @BanKillerRobots: Fully autonomous weapons seen as “one of the most pressing + interesting techno-military issues of our time”
RT @BanKillerRobots: Fully autonomous weapons seen as "one of the most pressing + interesting techno-military issues of our time"
RT @Snowden: I worked I wrote the Emergency Destruction Plan for When CIA destroys something, it’s never a
RT @Snowden: I worked I wrote the Emergency Destruction Plan for When CIA destroys something, it's never a
RT @e3i5: Really? @GCHQ follows @007 the “official James Bond Twitter
RT @e3i5: Really? @GCHQ follows @007 the "official James Bond Twitter
We’re not the “good guys”: American warfare is terrorizing the Middle East via @Salon
That distinctly Hollywood vision of America’s drone wars (with a Terminator edge) was the one that had filtered down to the level of Kennebeck’s three drone-team interviewees when they signed on. It looked to them then like a war worth fighting and a life worth leading. Today, as they speak out, their version of such warfare looks nothing like what either Hollywood or Washington might imagine
RT @mgubrud: Is a superintelligent super-AI possible? @DARPA wants to Calls it “Fun-LoL” to distinguish from Skynet
Fundamental Limits of Learning (Fun LoL) Request for Information (RFI) The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is requesting information on research related to the investigation and characterization of fundamental limits of machine learning with supportive theoretical foundations. Although the main focus is on machine learning, extensions and implications for human-machine systems are also of interest. The notion of fundamental limits here means that the conclusion about achievable performance limits should hold independent of specific learning methods or algorithms.