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Elon Musk and his team of boffins are exploring ways in which they can connect a computer interface to the mind. The South African-born billionaire claims to have already trialled the revolutionary device on a monkey which was able to control the computer with its brain. Mr Musk said at a presentation on Tuesday: “A monkey has been able to control the computer with his brain.”

NeuraLink describes the device as “sewing machine-like”. The system implants ultra-thin threads deep into the brain’s nervous system.The company has applied to US regulators in the hopes of beginning trials on humans next year.Primarily, the firm states that initially it wants to help people with severe neurological conditions, but as with all of his companies, Mr Musk is aiming for more and sees humanity’s future as having “superhuman cognition”.The device in question, which is nameless so far, will see the tiny thread fitted with 3,000 electrodes which can monitor the activity of 1,000 neurons.

Mr Musk hopes the product will be on the market within four years.

That’s not a bug. It’s a function of Apple policy. With some exceptions, the company doesn’t let users pay app makers directly for their apps or digital services. They can only pay Apple, which takes a 30% cut of all revenue and then passes 70% to the developer. (For subscription services, which account for the majority of App Store revenues, that 30% cut drops to 15% after the first year.) To tighten its grip, Apple prohibits the affected apps from even telling users how they can pay their creators directly.In 2018, unwilling to continue paying the “Apple tax,” Netflix followed Spotify and Amazon’s Kindle books app in pulling in-app purchases from its iOS app. Users must now sign up elsewhere, such as on the company’s website, in order for the app to become usable. Of course, these brands are big enough to expect that many users will seek them out anyway.

Smaller app developers, meanwhile, have little choice but to play by Apple’s rules. That’s true even when they’re competing with Apple’s own apps, which pay no such fees and often enjoy deeper access to users’ devices and information.Now, a handful of developers are speaking out about it — and government regulators are beginning to listen. David Heinemeier Hansson, the co-founder of the project management software company Basecamp, told members of the U.S. House antitrust subcommittee in January that navigating the App Store’s fees, rules, and review processes can feel like a “Kafka-esque nightmare.”One of the world’s most beloved companies, Apple has long enjoyed a reputation for user-friendly products, and it has cultivated an image as a high-minded protector of users’ privacy. The App Store, launched in 2008, stands as one of its most underrated inventions; it has powered the success of the iPhone—perhaps the most profitable product in human history. The concept was that Apple and developers could share in one another’s success with the iPhone user as the ultimate beneficiary.

But critics say that gauzy success tale belies the reality of a company that now wields its enormous market power to bully, extort, and sometimes even destroy rivals and business partners alike. The iOS App Store, in their telling, is a case study in anti-competitive corporate behavior. And they’re fighting to change that — by breaking its choke hold on the Apple ecosystem.

Huawei Technologies, the world’s largest telecommunications equipment supplier, is set to launch its HongMeng operating system (OS) as a potential alternative to Google's Android OS, on August 9 at Huawei's Developer Conference, industry insiders told the Global Times Wednesday. According to media reports, the user experience (UX) design features a brand new ringtone and notification panel, a cleaner interface for the camera, more animation and faster speed. Users can also add widgets and personalize the locked screen. Citing industry experts (most likely of Chinese origin), the Global Times reported that "it is possible for Huawei to build a sustainable smartphone ecosystem on the HongMeng OS and reshape the current market dominated by Android and Apple's iOS", although the new system is primarily designed for industrial automation and applications in the Internet of Things (IoT). "Given the design features of the HongMeng OS, it can be a game changer in IoT-related areas, such as driverless cars and smart homes," Fu Liang, a Beijing-based independent industry analyst, told the Global Times. According to Huawei's website, the HongMeng OS is built with a processing latency of less than 5 milliseconds, which is especially required in circumstances involving IoT applications that often need to transfer large amount of data simultaneously.

Google cuts Huawei off Android; so Huawei may migrate to Aurora. Call it mobile Eurasia integration; the evolving Russia-China strategic partnership may be on the verge of spawning its own operating system – and that is not a metaphor. Aurora is a mobile operating system currently developed by Russian Open Mobile Platform, based in Moscow. It is based on the Sailfish operating system, designed by Finnish technology company Jolla, which featured a batch of Russians in the development team. Quite a few top coders at Google and Apple also come from the former USSR – exponents of a brilliant scientific academy tradition.

No Google? Who cares? Tencent, Xiaomi, Vivo and Oppo are already testing the HongMeng operating system, as part of a batch of one million devices already distributed. HongMeng’s launch is still a closely guarded secret by Huawei, but according to CEO Richard Yu, it could happen even before the end of 2019 for the Chinese market, running on smartphones, computers, TVs and cars. HongMeng is rumored to be 60% faster than Android.

Aurora could be regarded as part of Huawei’s fast-evolving Plan B. Huawei is now turbo-charging the development and implementation of its own operating system, HongMeng, a process that started no less than seven years ago. Most of the work on an operating system is writing drivers and APIs (application programming interfaces). Huawei would be able to integrate their code to the Russian system in no time.

The digital privacy world was rocked late Thursday evening when The New York Times reported on Securus, a prison telecom company that has a service enabling law enforcement officers to locate most American cell phones within seconds. The company does this via a basic Web interface leveraging a location API—creating a way to effectively access a massive real-time database of cell-site records. Securus’ location ability relies on other data brokers and location aggregators that obtain that information directly from mobile providers, usually for the purposes of providing some commercial service like an opt-in product discount triggered by being near a certain location. ("You’re near a Carl’s Jr.! Stop in now for a free order of fries with purchase!") The Texas-based Securus reportedly gets its data from 3CInteractive, which in turn buys data from LocationSmart. Ars reached 3CInteractive's general counsel, Scott Elk, who referred us to a spokesperson. The spokesperson did not immediately respond to our query. But currently, anyone can get a sense of the power of a location API by trying out a demo from LocationSmart itself. Currently, the Supreme Court is set to rule on the case of Carpenter v. United States, which asks whether police can obtain more than 120 days' worth of cell-site location information of a criminal suspect without a warrant. In that case, as is common in many investigations, law enforcement presented a cell provider with a court order to obtain such historical data. But the ability to obtain real-time location data that Securus reportedly offers skips that entire process, and it's potentially far more invasive. Securus’ location service as used by law enforcement is also currently being scrutinized. The service is at the heart of an ongoing federal prosecution of a former Missouri sheriff’s deputy who allegedly used it at least 11 times against a judge and other law enforcement officers. On Friday, Sen. Ron Wyden (D-Ore.) publicly released his formal letters to AT&T and also to the Federal Communications Commission demanding detailed answers regarding these Securus revelations.

A company by the name of LocationSmart isn't having a particularly good month. The company recently received all the wrong kind of attention when it was caught up in a privacy scandal involving the nation's wireless carriers and our biggest prison phone monopoly. Like countless other companies and governments, LocationSmart buys your wireless location data from cell carriers. It then sells access to that data via a portal that can provide real-time access to a user's location via a tailored graphical interface using just the target's phone number.

Theoretically, this functionality is sold under the pretense that the tool can be used to track things like drug offenders who have skipped out of rehab. And ideally, all the companies involved were supposed to ensure that data lookup requests were accompanied by something vaguely resembling official documentation. But a recent deep dive by the New York Times noted how the system was open to routine abuse by law enforcement, after a Missouri Sherrif used the system to routinely spy on Judges and fellow law enforcement officers without much legitimate justification (or pesky warrants): "The service can find the whereabouts of almost any cellphone in the country within seconds. It does this by going through a system typically used by marketers and other companies to get location data from major cellphone carriers, including AT&T, Sprint, T-Mobile and Verizon, documents show. Between 2014 and 2017, the sheriff, Cory Hutcheson, used the service at least 11 times, prosecutors said. His alleged targets included a judge and members of the State Highway Patrol. Mr. Hutcheson, who was dismissed last year in an unrelated matter, has pleaded not guilty in the surveillance cases." It was yet another example of the way nonexistent to lax consumer privacy laws in the States (especially for wireless carriers) routinely come back to bite us. But then things got worse.

Driven by curiousity in the wake of the Times report, a PhD student at Carnegie Mellon University by the name of Robert Xiao discovered that the "try before you buy" system used by LocationSmart to advertise the cell location tracking system contained a bug, A bug so bad that it exposed the data of roughly 200 million wireless subscribers across the United States and Canada (read: nearly everybody). As we see all too often, the researcher highlighted how the security standards in place to safeguard this data were virtually nonexistent: "Due to a very elementary bug in the website, you can just skip that consent part and go straight to the location," said Robert Xiao, a PhD student at the Human-Computer Interaction Institute at Carnegie Mellon University, in a phone call. "The implication of this is that LocationSmart never required consent in the first place," he said. "There seems to be no security oversight here."

Today we are releasing the implementation guide for EFF’s Do Not Track (DNT) policy. For years users have been able to set a Do Not Track signal in their browser, but there has been little guidance for websites as to how to honor that request. EFF’s DNT policy sets out a meaningful response for servers to follow, and this guide provides details about how to apply it in practice. At its core, DNT protects user privacy by excluding the use of unique identifiers for cross-site tracking, and by limiting the retention period of log data to ten days. This short retention period gives sites the time they need for debugging and security purposes, and to generate aggregate statistical data. From this baseline, the policy then allows exceptions when the user's interactions with the site—e.g., to post comments, make a purchase, or click on an ad—necessitates collecting more information. The site is then free to retain any data necessary to complete the transaction. We believe this approach balances users’ privacy expectations with the ability of websites to deliver the functionality users want. Websites often integrate third-party content and rely on third-party services (like content delivery networks or analytics), and this creates the potential for user data to be leaked despite the best intentions of the site operator. The guide identifies potential pitfalls and catalogs providers of compliant services. It is common, for example, to embed media from platforms like You Tube, Sound Cloud, and Twitter, all of which track users whenever their widgets are loaded. Fortunately, Embedly, which offers control over the appearance of embeds, also supports DNT via its API, displaying a poster instead and loading the widget only if the user clicks on it knowingly.

Knowledge makes the difference between willing tracking and non-consensual tracking. Users should be able to choose whether they want to give up their privacy in exchange for using a site or a  particular feature. This means sites need to be transparent about their practices. A great example of this is our biggest adopter, Medium, which does not track DNT users who browse the site and gives clear information about tracking to users when they choose to log in. This is their previous log-in panel, the DNT language is currently being added to their new interface.

On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

Then we put the data up, but the problem with Solr was it didn’t have a user interface, so we used Project Blacklight, which is open source software normally used by librarians. We used it for the journalists. It’s simple because it allows you to do faceted search—so, for example, you can facet by the folder structure of the leak, by years, by type of file. There were more complex things—it supports queries in regular expressions, so the more advanced users were able to search for documents with a certain pattern of numbers that, for example, passports use. You could also preview and download the documents. ICIJ open-sourced the code of our document processing chain, created by our web developer Matthew Caruana Galizia. We also developed a batch-searching feature. So say you were looking for politicians in your country—you just run it through the system, and you upload your list to Blacklight and you would get a CSV back saying yes, there are matches for these names—not only exact matches, but also matches based on proximity. So you would say “I want Mar Cabra proximity 2” and that would give you “Mar Cabra,” “Mar whatever Cabra,” “Cabra, Mar,”—so that was good, because very quickly journalists were able to see… I have this list of politicians and they are in the data!

Last Sunday, April 3, the first stories emerging from the leaked dataset known as the Panama Papers were published by a global partnership of news organizations working in coordination with the International Consortium of Investigative Journalists, or ICIJ. As we begin the second week of reporting on the leak, Iceland’s Prime Minister has been forced to resign, Germany has announced plans to end anonymous corporate ownership, governments around the world launched investigations into wealthy citizens’ participation in tax havens, the Russian government announced that the investigation was an anti-Putin propaganda operation, and the Chinese government banned mentions of the leak in Chinese media. As the ICIJ-led consortium prepares for its second major wave of reporting on the Panama Papers, we spoke with Mar Cabra, editor of ICIJ’s Data & Research unit and lead coordinator of the data analysis and infrastructure work behind the leak. In our conversation, Cabra reveals ICIJ’s years-long effort to build a series of secure communication and analysis platforms in support of genuinely global investigative reporting collaborations.

For communication, we have the Global I-Hub, which is a platform based on open source software called Oxwall. Oxwall is a social network, like Facebook, which has a wall when you log in with the latest in your network—it has forum topics, links, you can share files, and you can chat with people in real time.

The U.S. military is spending millions on an advanced implant that would allow a human brain to communicate directly with computers.If it succeeds, cyborgs will be a reality.The Pentagon's research arm, the Defense Advanced Research Projects Agency (DARPA), hopes the implant will allow humans to directly interface with computers, which could benefit people with aural and visual disabilities, such as veterans injured in combat.The goal of the proposed implant is to "open the channel between the human brain and modern electronics" according to DARPA's program manager, Phillip Alvelda.

DARPA sees the implant as providing a foundation for new therapies that could help people with deficits in sight or hearing by "feeding digital auditory or visual information into the brain."A spokesman for DARPA told CNN that the program is not intended for military applications.

But some experts see such an implant as having the potential for numerous applications, including military ones, in the field of wearable robotics -- which aims to augment and restore human performance.Conor Walsh, a professor of mechanical and biomedical engineering at Harvard University, told CNN that the implant would "change the game," adding that "in the future, wearable robotic devices will be controlled by implants."Walsh sees the potential for wearable robotic devices or exoskeletons in everything from helping a medical patient recover from a stroke to enhancing soldiers' capabilities in combat.The U.S. military is currently developing a battery-powered exoskeleton, the Tactical Assault Light Operator Suit, to provide superior protection from enemy fire and in-helmet technologies that boost the user's communications ability and vision.The suits' development is being overseen by U.S. Special Operations Command.In theory, the proposed neural implant would allow the military member operating the suit to more effectively control the armored exoskeleton while deployed in combat.

HERE WAS A SIMPLE AIM at the heart of the top-secret program: Record the website browsing habits of “every visible user on the Internet.” Before long, billions of digital records about ordinary people’s online activities were being stored every day. Among them were details cataloging visits to porn, social media and news websites, search engines, chat forums, and blogs. The mass surveillance operation — code-named KARMA POLICE — was launched by British spies about seven years ago without any public debate or scrutiny. It was just one part of a giant global Internet spying apparatus built by the United Kingdom’s electronic eavesdropping agency, Government Communications Headquarters, or GCHQ. The revelations about the scope of the British agency’s surveillance are contained in documents obtained by The Intercept from National Security Agency whistleblower Edward Snowden. Previous reports based on the leaked files have exposed how GCHQ taps into Internet cables to monitor communications on a vast scale, but many details about what happens to the data after it has been vacuumed up have remained unclear.

Amid a renewed push from the U.K. government for more surveillance powers, more than two dozen documents being disclosed today by The Intercept reveal for the first time several major strands of GCHQ’s existing electronic eavesdropping capabilities.

The surveillance is underpinned by an opaque legal regime that has authorized GCHQ to sift through huge archives of metadata about the private phone calls, emails and Internet browsing logs of Brits, Americans, and any other citizens — all without a court order or judicial warrant