Google's "Project Maven" is supplying machine-learning tools to the Pentagon to support drone strikes; the project has been hugely divisive within Google, with employees pointing out that the company is wildly profitable and doesn't need to compromise on its ethics to keep its doors open; that the drone program is a system of extrajudicial killing far from the battlefield; and that the firm's long-term health depends on its ability to win and retain the trust of users around the world, which will be harder if Google becomes a de facto wing of the US military.
A dozen googlers have put their money where their mouths are, publicly resigning over the contract; 4,000 more googlers have signed an open letter to the company's CEO asking him to cancel the contract.
Companies have an emergent property of profit-seeking without regard to ethics or human flourishing, but individuals within companies retain their human sense of decency; that's why we need to include techies in our plan for fixing tech.
One resigning employee questioned why Google is even bothering with such a controversial program when it is already so massive. “It’s not like Google is this little machine-learning startup that’s trying to find clients in different industries," the anonymous employee told Gizmodo. "It just seems like it makes sense for Google and Google’s reputation to stay out of that.”
“Actions speak louder than words, and that’s a standard I hold myself to as well,” another resigning employee told Gizmodo. “I wasn’t happy just voicing my concerns internally. The strongest possible statement I could take against this was to leave.”
A dozen Google employees quit over military drone project [Ron Amadeo/Ars Technica]
David Gerard is a technically minded, sharp-witted, scathing critic of Bitcoin and other cryptocurrencies; his criticism is long, comprehensive and multipartite, but of particular interest is is critique of "proof of work" (an idea that is central to the blockchain, but which many cryptographers are skeptical of).
A team of researchers from Twitter have published a paper detailing a machine learning technique that uses a generative adversarial network to make shrewd guesses about how to up-res small images by up to 400%, into crisp, large images, with eye-popping results.
A group of scientists from Intel and the University of Illinois at Urbana–Champaign have published a paper called Learning to See in the Dark detailing a powerful machine-learning based image processing technique that allows regular cameras to take super-sharp pictures in very low light, without long exposures or the kinds of graininess associated with low-light […]
The workday is long, and inevitably, you’re going to find yourself needing to take a break from the daily grind. With Mini Materials Miniature Cinder Blocks, you can take some time for yourself and decompress by turning your desk into a miniature construction site. They’re available today in the Boing Boing Store for $22.49. Handmade […]
Handheld radios might seem a bit archaic, but in an emergency situation, few things will keep you as reliably connected to the outside world. This Emergency Multi-Function Radio & Flashlight takes the utility of the tried-and-true radio and combines it with a powerful flashlight and self-sufficient energy system. It’s available in the Boing Boing Store for […]
Few programming languages boast the versatility and user-friendliness of Python, which is why it’s the first language of choice for many aspiring programmers. Regardless of your experience level, you can take the first step to becoming Python-savvy with the Python 3 Bootcamp Bundle, available in the Boing Boing Store for $35 this week. Featuring more than […]