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In a series of three recent papers, astronomers have identified the final chunks of all the ordinary matter in the universe. From a report: And despite the fact that it took so long to identify it all, researchers spotted it right where they had expected it to be all along: in extensive tendrils of hot gas that span the otherwise empty chasms between galaxies, more properly known as the warm-hot intergalactic medium, or WHIM. Early indications that there might be extensive spans of effectively invisible gas between galaxies came from computer simulations done in 1998. "We wanted to see what was happening to all the gas in the universe," said Jeremiah Ostriker, a cosmologist at Princeton University who constructed one of those simulations along with his colleague Renyue Cen. The two ran simulations of gas movements in the universe acted on by gravity, light, supernova explosions and all the forces that move matter in space. "We concluded that the gas will accumulate in filaments that should be detectable," he said.

Except they weren't -- not yet. "It was clear from the early days of cosmological simulations that many of the baryons would be in a hot, diffuse form -- not in galaxies," said Ian McCarthy, an astrophysicist at Liverpool John Moores University. Astronomers expected these hot baryons to conform to a cosmic superstructure, one made of invisible dark matter, that spanned the immense voids between galaxies. The gravitational force of the dark matter would pull gas toward it and heat the gas up to millions of degrees. Unfortunately, hot, diffuse gas is extremely difficult to find. To spot the hidden filaments, two independent teams of researchers searched for precise distortions in the CMB, the afterglow of the Big Bang. As that light from the early universe streams across the cosmos, it can be affected by the regions that it's passing through. In particular, the electrons in hot, ionized gas (such as the WHIM) should interact with photons from the CMB in a way that imparts some additional energy to those photons. The CMB's spectrum should get distorted. Unfortunately the best maps of the CMB (provided by the Planck satellite) showed no such distortions. Either the gas wasn't there, or the effect was too subtle to show up. But the two teams of researchers were determined to make them visible. From increasingly detailed computer simulations of the universe, they knew that gas should stretch between massive galaxies like cobwebs across a windowsill. Planck wasn't able to see the gas between any single pair of galaxies. So the researchers figured out a way to multiply the faint signal by a million.

Last Week, San Francisco got its first completely automated cashierless store, called Standard Market. The store requires users to download their app before they can enter the 1,900-square-foot building. Once they do that, they can enter the store, grab the items they need, and walk out -- all without ever interacting with a cashier. The 27 cameras positioned on the ceiling are supposedly able to identify which items shoppers walk out with. CNBC reports: The start-up behind this operation is Standard Cognition, which has raised $11.2 million in venture capital and formed partnerships with four retail chains around the world. This first market is a prototype to showcase the technology and work on the bugs. The ambitious goal is to add the tech in 100 stores a day (each day!) by 2020. Five of the seven founders came from the Securities and Exchange Commission, where they built artificial intelligence software to detect fraud and trade violations, before starting Standard Cognition in 2017. Now these fraud experts are working to discern something equally complicated: whether I am stealing a snack. The store is very similar to Amazon's cashierless Go market, but differs in that it relies exclusively on the ceiling cameras and AI software to figure out what you're buying. "The goal is to predict, and prevent, shoplifting, because unlike Amazon's Go stores, which have a subway turnstile-like gate for entry and exit, Standard Market has an open door, and the path is clear," reports CNBC. "Once the system decides it has detected potential theft behavior, a store attendant will get a text and walk over for 'a polite conversation,' Standard Cognition's co-founder and chief operating officer, Michael Suswal, said."

Apparently, there exists something called the 'dinner party problem' which states that it is difficult to sustain a casual conversation that includes more than four speakers. If a fifth person were to join that conversation, so goes the theory, the conversation would quickly fission into smaller groups. Somebody looked into it, of course. From a story: The question bothered Jaimie Krems, an assistant professor of psychology at Oklahoma State University. Krems had previously studied under Robin Dunbar, the Oxford University evolutionary psychologist who theorized that cohesion in any human social group falls apart once the group reaches 150 -- a figure now known as Dunbar's number. But just as the dynamics of large groups start changing around 150, something also happens to the casual conversations of small groups once they surpass four members.

Social psychologists have noted the pattern in group conversations in research stretching back decades. There's evidence that this four-person limit on conversations has been in place for about as long as humans have been having chatting with one another. Shakespeare rarely allowed more than four speaking characters in any scene; ensemble films rarely have more than four actors interacting at once. But why do we max out at four? In a forthcoming paper in the journal Evolution and Human Behavior, Krems and Jason Wilkes offer one theory rooted in evolutionary psychology. Pairs (or "dyads," in psychology research parlance) are the essential building blocks of a society. Let's imagine a conversation between four hypothetical humans: you, Chris, Pat, and Taylor. In a four-person conversation, there are six possible pairs of people who can be talking to one another at once. you and Chris, you and Pat, you and Taylor, Chris and Pat, Chris and Taylor, and Pat and Taylor. That's three pairs you're part of, and three pairs you're not. Essentially, you have a role in influencing half of the possible conversations that could be happening in that group. If there are three people in the conversation, there are three possible pairs, only one of which excludes you. If there are five people, there are 10 possible pairs, and the majority -- six -- don't include you, which makes it harder to get your point across.

An anonymous reader quotes a report from Ars Technica: A Southern California limousine company sued Uber in federal court earlier this week, alleging violations of state unfair-competition laws. While a company suing Uber is not new, the proposed class-action lawsuit appears to rely on a recently decided California Supreme Court decision that makes it more difficult for companies to unilaterally declare their workers as contractors, which effectively deprives them of benefits that they would otherwise receive as employees.

In that case, known as Dynamex, the court came up with a three-part test to figure out whether companies can assert contractor status or not. The new case is called Diva Limousine v. Uber. Some legal experts say that the earlier decision in Dynamex may bolster an argument in this new case around unfair competition that has previously been difficult to win on in federal court. In short, Diva Limousine just might succeed where other federal lawsuits have failed.

Researchers at Carnegie Mellon University have figured out a new method to create deepfakes -- videos that make it look like someone said or did something they didn't say or do. They're usually manipulated using machine learning and have been a big problem for porn sites, as they can be used to create fake celebrity pornographic videos or revenge porn. According to Gizmodo, the researchers "have figured out a way to automatically transfer the 'style' of one person to another." From the report: "For instance, Barack Obama's style can be transformed into Donald Trump," the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump. The researchers describe the process in a paper as an "unsupervised data-driven approach." Like other methods of developing deepfakes, this one uses artificial intelligence. The paper doesn't exclusively deal in translating talking style and facial movements from one human to another -- it also includes examples with blooming flowers, sunrises and sunsets, and clouds and wind.

For the person-to-person deepfakes, the researchers cite examples of how certain mannerisms can be transferred, including "John Oliver's dimple while smiling, the shape of mouth characteristic of Donald Trump, and the facial mouth lines and smile of Stephen Colbert." The team used videos available to the public to develop these deepfakes. It's easy to see how these techniques might be applied in a more innocuous way...

An anonymous reader shares an excerpt from a report written by Gillian Hadfield via TechCrunch. Hadfield is a professor of law and strategic management at the the University of Toronto; a faculty affiliate at the Vector Institute for AI; and a senior policy advisor at OpenAI. From the report: Building machines that can perform any cognitive task means figuring out how to build AI that can not only learn about things like the biology of tomatoes but also about our highly variable and changing systems of norms about things like what we do with tomatoes. [...] For AI to be truly powerful will require machines to comprehend that norms can vary tremendously from group to group, making them seem unnecessary, yet it can be critical to follow them in a given community. [...] Norms concern things not only as apparently minor as what foods to combine but also things that communities consider tremendously consequential: who can marry whom, how children are to be treated, who is entitled to hold power, how businesses make and price their goods and services, when and how criticism can be shared publicly. Successful and safe AI that achieves our goals within the limits of socially accepted norms requires an understanding of not only how our physical systems behave, but also how human normative systems behave.

Norms are not just fixed features of the environment, like the biology of a plant. They are dynamic and responsive structures that we make and remake on a daily basis, as we decide whether or when to let someone know that "this" is the way "we" do things around here. These normative systems are the systems on which we rely to solve the challenge of ensuring that people behave the way we want them to in our communities, workplaces and social environments. Only with confidence about how everyone around us is likely to behave are we all willing to trust and live and invest with one another. Ensuring that powerful AIs behave the way we want them to will not be so terribly different. Just as we need to raise our children to be competent participants in our systems of norms, we will need to train our machines to be similarly competent. It is not enough to be extremely knowledgeable about the facts of the universe; extreme competence also requires wisdom enough to know that there may be a rule here, in this group but not in that group. And that ignoring that rule may not just annoy the group; it may lead them to fear or reject the machine in their midst.

MIT's "Dense Object Nets" or "DON" system uses machine vision to figure out what it's look at all by itself. "It generates a 'visual roadmap' -- basically, collections of visual data points arranged as coordinates," reports Engadget. "The system will also stitch each of these individual coordinate sets together into a larger coordinate set, the same way your phone can mesh numerous photos together into a single panoramic image. This enables the system to better and more intuitively understand the object's shape and how it works in the context of the environment around it." From the report: [T]he DON system will allow a robot to look at a cup of coffee, properly orient itself to the handle, and realize that the bottom of the mug needs to remain pointing down when the robot picks up the cup to avoid spilling its contents. What's more, the system will allow a robot to pick a specific object out of a pile of similar objects. The system relies on an RGB-D sensor which has a combination RGB-depth camera. Best of all, the system trains itself. There's no need to feed the AI hundreds upon thousands of images of an object to the DON in order to teach it. If you want the system to recognize a brown boot, you simply put the robot in a room with a brown boot for a little while. The system will automatically circle the boot, taking reference photos which it uses to generate the coordinate points, then trains itself based on what it's seen. The entire process takes less than an hour. MIT published a video on YouTube showing how the system works.

An anonymous reader quotes a report from The Verge: Researchers at KU Leuven have figured out a way to spoof Tesla's key fob system, as first reported by Wired. The result would let an attacker steal a Tesla simply by walking past the owner and cloning his key. The attack is particularly significant because Tesla pioneered the keyless entry concept, which has since spread to most luxury cars. This particular attack seems to have only worked on Model S units shipped before June, and in an update last week, Tesla pushed out an update that strengthened the encryption for the remaining vehicles. More importantly, the company added the option to require a PIN password before the car will start, effectively adding two-factor to your car. Tesla owners can add the PIN by disabling Passive Entry in the "Doors & Locks" section of "Settings."

The attack itself is fairly involved. Because of the back-and-forth protocol, attackers would first have to sniff out the car's Radio ID (broadcast from the car at all times), then relay that ID broadcast to a victim's key fob and listen for the response, typically from within three feet of the fob. If they can do that back-and-forth twice, the research team found they can work back to the secret key powering the fob's responses, letting them unlock the car and start the engine.

OSNews reports: Terrence Andrew Davis, sole creator and developer of TempleOS (née LoseThos), has passed away at age 48. Davis suffered from mental illness -- schizophrenia -- which had a severe impact on his life. He claimed he created his operating system after having spoken with and receiving instructions from god, and he was a controversial figure, also here on OSNews, for his incomprehensible rants and abrasive style towards OSNews readers and staff. We eventually had to ban him, but our then-editor Kroc Kamen worked with him in 2010 to publish an article about his operating system despite his ban.... I hope he found peace -- wherever he may be.
Davis spent 10 years building "an operating system to talk to God," according to a 2014 profile in Motherboard, which described its welcome screen as "a riot of 16-color, scrolling, blinking text" resembling early DOS-based GUIs. (Wikipedia describes its interface as "a mixture of DOS and Turbo C.") To build his operating system, Terry wrote 121,176 lines of code.

An anonymous reader writes: Davis learned assembly language on a Commodore 64 before he'd graduated from high school. He eventually got a master's degree in electrical engineering from Arizona State University, and as an undergrad he worked briefly at Ticketmaster, programming operating systems. His later life included time in mental hospitals and some homelessness, as well as living at home with his parents after his schizophrenia was diagnosed and treated.

In 2014 Motherboard pieced together his lifestyle from emailed updates Terry sent from his Ubuntu desktop. They concluded he was living on disability, and spent most of his time coding, surfing the web, "or using the output from the National Institute of Standards and Technology randomness beacon to talk to God -- he posts the results on his webpage as 'Terry Davis' Rants.'" Their article describes him as "God's lonely programmer," saying Davis "offered the world a temple to a God who speaks only to him, and is still waiting for everyone else to listen."
Terry's death was confirmed by a local Oregon newspaper, and the official web site for TempleOS now also includes this death notice:

In the wake of Terry A. Davis' passing his family has requested supporters of his donate to "organizations working to ease the pain and suffering caused by mental illness" such as

• The Brain & Behavior Research Foundation
• National Alliance on Mental Illness

An anonymous reader shares a report: Consumers are now more aware that they can buy the phone and the network access separately, and are increasingly doing so. "Many were totally unaware of the true value of the plan, and this marks a real change," CCS Insight analyst Kester Mann told us. CCS Insight calls the unbundling "cracking the code." Only 36 per cent of UK SIM-only customers expect to take a traditional bundle-plus-phone deal when their current plan ends, CCS found. Mann noted that this figure is considerably higher than the number of SIM-only customers today, who will upgrade to another SIM-only deal -- indicating strong growth for the SIM-only bit of the market. One in 12 phones in use is a second-hand phone.

And there are a variety of fascinating knock-on effects. For example, almost 10 per cent of UK punters now buy direct through Amazon. Operators, who have traditionally acted as credit companies, will have to make their bundles more flexible and attractive. High-margin manufacturers may have to make more use of the refurbished channel, or make older models available for longer. In fact, all OEMs have to look at refurb and online. Mann told us all of these trends are happening already.

An anonymous reader quotes a report from Motherboard: Wednesday, Valve, the company that operates the huge online video game store Steam, shared more details about how it plans to control and moderate the ever-increasing number of games published on its platform. In the post published Wednesday, Valve shared more details about how it determines what it considers "outright trolling." "It is vague and we'll tell you why," Valve wrote. "You're a denizen of the internet so you know that trolls come in all forms. On Steam, some are simply trying to rile people up with something we call 'a game shaped object' (ie: a crudely made piece of software that technically and just barely passes our bar as a functioning video game but isn't what 99.9% of folks would say is "good.")

Valve goes on to explain that some trolls are trying to scam folks out of their Steam inventory items (digital items that can be traded for real money), while others are trying to generate a small amount of money through a variety of schemes that have to do with how developers use keys to unlock Steam games, while others are trying to "incite and sow discord." "Trolls are figuring out new ways to be loathsome as we write this," Valve said. "But the thing these folks have in common is that they aren't actually interested in good faith efforts to make and sell games to you or anyone. When a developer's motives aren't that, they're probably a troll." One interesting observation Valve shares in the blog post is that it rarely bans individual games from Steam, and more often bans developers and/or publishers entirely. [...] Valve said that its review process for determining that something may be a "troll game" is a "deep assessment" that involves investigating who the developer is, what they've done in the past, their behavior on Steam as a developer, as a customer, their banking information, developers they associate with, and more.

An anonymous reader quotes a report from Smithsonian: Australian researchers may have found a way to detect landslides as far as two weeks in advance, giving residents time to evacuate and engineers the opportunity to shore up slopes. Using AI and applied mathematics they've developed a software that can identify the subtle signs of an impending slide, signs that would be invisible to the naked eye. "Right now, a lot of the predictions [about where landslides will happen] are based on someone's gut instinct on the location," says Antoinette Tordesillas, a professor at the School of Mathematics and Statistics at the University of Melbourne, who co-led the research. "We don't rely on gut instinct. We want to develop an objective method here." To develop the software, Tordesillas and her team used radar data from mining companies, which produce extremely detailed information of the surface movement of slopes. The team took the data and looked for patterns, eventually figuring out which networks of movements indicated unstable locations. They also used data from a landslide-prone Italian volcano to help develop the algorithm. The software can also incorporate data about other landslide risk factors, like rainfall and erosion, making the targeting even more precise. The data used for monitoring can come from radar based on the ground, on satellites or even in drones.

An anonymous reader quotes a report from Bloomberg: Mercedes-Benz, the world's largest maker of luxury cars, is rolling out its first in a series of battery-powered models, adding to a growing array of high-end brands targeting Tesla. The Mercedes EQC crossover starts production in the first half of next year, part of a plan to develop its EQ electric line, Daimler AG Chief Executive Officer Dieter Zetsche told reporters in Stockholm at the car's world premiere. The company intended to invest $12 billion on the electric-car push, but the spending has become "more than that," he said Tuesday, without specifying figures. "There is no alternative to betting on electric cars, and we're going all in," Zetsche said. "It is starting right now." The new EQC -- roughly the size of the brand's popular GLC SUV -- features a range of more than 280 miles and accelerates to 62 mph in as little as 5.1 seconds. The Model X has a range of 237 miles. Daimler doesn't plan to establish a dedicated electric assembly plant and will instead build the vehicles at the same sites as conventional automobiles to be able to better adjust output, Zetsche said, adding that he expects demand to mainly eat into sales of combustion cars rather than lure new customers.

As Chrome looks ahead to its next 10 years, the team is mulling its most controversial initiative yet: fundamentally rethinking URLs across the web. From a report: Uniform Resource Locators are the familiar web addresses you use everyday. They are listed in the web's DNS address book and direct browsers to the right Internet Protocol addresses that identify and differentiate web servers. In short, you navigate to WIRED.com to read WIRED so you don't have to manage complicated routing protocols and strings of numbers. But over time, URLs have gotten more and more difficult to read and understand. The resulting opacity has been a boon for cyber criminals who build malicious sites to exploit the confusion. They impersonate legitimate institutions, launch phishing schemes, hawk malicious downloads, and run phony web services -- all because it's difficult for web users to keep track of who they're dealing with. Now, the Chrome team says it's time for a massive change.

"People have a really hard time understanding URLs," says Adrienne Porter Felt, Chrome's engineering Manager. "They're hard to read, it's hard to know which part of them is supposed to be trusted, and in general I don't think URLs are working as a good way to convey site identity. So we want to move toward a place where web identity is understandable by everyone -- they know who they're talking to when they're using a website and they can reason about whether they can trust them. But this will mean big changes in how and when Chrome displays URLs. We want to challenge how URLs should be displayed and question it as we're figuring out the right way to convey identity."

If you're having a tough time thinking of what could possibly be used in place of URLs, you're not alone. Academics have considered options over the years, but the problem doesn't have an easy answer. Porter Felt and her colleague Justin Schuh, Chrome's principal engineer, say that even the Chrome team itself is still divided on the best solution to propose. And the group won't offer any examples at this point of the types of schemes they are considering. The focus right now, they say, is on identifying all the ways people use URLs to try to find an alternative that will enhance security and identity integrity on the web while also adding convenience for everyday tasks like sharing links on mobile devices.

In a joint investigation, Engadget and Point spoke to 10 Reddit moderators, and all of them complained that Reddit is systematically failing to tackle the abuse they suffer. Keeping the front page of the internet clean has become a thankless and abusive task, and yet Reddit's administration has repeatedly neglected to respond to moderators who report offenses. From the report: "I've had a few death threats," said Emily, who asked to be referred to by her first name and her Reddit username, lolihull, to prevent the online harassment from spilling over into her real life. [...] "I had three death threats this past month," said abrownn, who moderates r/Futurology, with more than 13 million subscribers, and r/technology, with more than 6 million subscribers. abrownn asked only to be known by their username. All the moderators interviewed confirmed they had received death threats, which they said can take a toll.

[...] It's hard to pin down how many moderators there are: Even the moderators themselves don't know, but most estimate their numbers are into the tens of thousands. Some spend hours each day working for free on the site. Whatever the actual figure, they far outnumber the higher-ranking and paid administrators, whose job it is to respond to the evidence that the moderators collect.

Websites dedicated to "stream ripping" music from YouTube represent the biggest threat to the global music business, UK news outlet The Independent reported this week, citing industry figures, who added that that these shady sites are also posing business threat to "fantastic range" of legal streaming services such as Spotify and Apple Music. The report describes the nature of the issue: Sites that allow YouTube videos to be converted into an MP3 file and illegally downloaded to someone's phone or computer are attracting millions of visitors, with estimates suggesting that a third of 16-24-year-olds in the UK have ripped music from the Google-owned platform. Other platforms affected by the illegal ripping sites include DailyMotion, SoundCloud and Vimeo, however YouTube is by far the most pirated. The results of a crackdown that began in 2016 are beginning to be seen, thanks to a coordinated effort by organizations representing record companies in the US and the UK. Earlier this week, stream ripping website MP3Fiber was forced to shut down following legal pressure. However, dozens of sites offering similar services still remain active and are easily accessible through Google, whose search engine provides more than 100 million results for the term "YouTube MP3 converter." The Electronic Frontier Foundation (EFF) said that even referring to the aforementioned questionable websites as "stream ripping" sites is misstating copyright law. "There exists a vast and growing volume of online video that is licensed for free downloading and modification, or contains audio tracks that are not subject to copyright," the EFF told the US Office of the United States Trade Representative last year. "Moreover, many audio extractions qualify as non-infringing fair uses under copyright. Providing a service that is capable of extracting audio tracks for these lawful purposes is itself lawful, even if some users infringe."

"Almost 25 years after it was released, Doom 2 has finally given up its last secret..." writes Polygon. An anonymous reader quotes their report: It's secret No. 4 on Map 15 (Industrial Zone). Now, the area in question has been known, seen and accessed by other means (usually a noclip cheat code). Getting to it without a cheat appears to be deliberately impossible, according to Doom co-creator John Romero. Romero tweeted out congratulations to the solution's discoverer, Zero Master. Zero Master figured out that the way to trigger the secret was to be pushed into the secret area by an enemy (in this case, a Pain Elemental).
Apparently the secret sector was an area just below the floor of a teleporter -- but entering that teleporter meant players rose up to the level of the teleporter's floor, according to Romero, so "you never enter the sector... you would never get inside the teleporter sector to trigger the secret."

One Reddit user notes Zero Master "has the first legit Doom 2 100% save file on earth, after 24 years."

A new study from email security company Mimecast shows that malicious links in emails are being missed by many security systems. From a report: Mimecast examined more than 142 million emails that had passed through organizations' email security vendors. The latest results reveal 203,000 malicious links within 10,072,682 emails were deemed safe by other security systems -- a ratio of one unstopped malicious link for every 50 emails inspected. The report also finds an 80 percent increase impersonation attacks in comparison to last quarters' figures. Additionally, 19,086,877 pieces of spam, 13,176 emails containing dangerous file types, and 15,656 malware attachments were all missed by these incumbent security providers and delivered to users' inboxes.

According to the research firm Canalys, Google shipped 5.4 million Google Home speakers in the quarter, compared to 4.1 million for Echo. It's the second quarter in a row that Echo took a backseat to Google. From a report: Things have changed dramatically from the year ago figures. Then, Amazon had an 82% market share of the connected speaker market, to Google's 17%. For the second quarter of this year, Google leads with 32% share and a 449 percent growth, to 24.5% for Amazon. What's behind the turnaround?

Voicebot.ai, a newsletter that tracks the connected speaker market, chalks it up to Google having more languages available in international markets for the Google Home speaker than Amazon does for Echo, so Google is available in more countries. And growth is coming from global. Only 16% of the new volume growth came from the U.S. in Q2 2018, says Canalys.

U.S. President Donald Trump accused social media companies on Friday of silencing "millions of people" in an act of censorship, but without offering evidence to support the claim. From a report: "Social Media Giants are silencing millions of people. Can't do this even if it means we must continue to hear Fake News like CNN, whose ratings have suffered gravely. People have to figure out what is real, and what is not, without censorship!" Trump wrote on Twitter, not mentioning any specific companies. Trump also criticized social media outlets last week, saying without providing proof that unidentified companies were "totally discriminating against Republican/Conservative voices." Mr. President's Friday remarks comes days after he expressed concerns over Twitter and Facebook regulating the content on their own platforms. He found such practice "very dangerous."