AT&T will alert a little more than a dozen customers within the next week or so that their service will be terminated due to copyright infringement, news outlet Axios reported, citing sources familiar with its plans. From the report: It's the first time AT&T has discontinued customer service over piracy allegations since having shaped its own piracy policies last year, which is significant given it just became one of America's major media companies. AT&T owns a content network after its purchase of Time Warner earlier this year, an entity now called WarnerMedia. Content networks are typically responsible for issuing these types of allegations to internet service providers (ISPs) for them to address with their customers.

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Oracle's Internet Intelligence division has confirmed today the findings of a recently published academic paper that accused China of "hijacking the vital internet backbone of western countries." From a report: The research paper was authored by researchers from the US Naval War College and Tel Aviv University and it made quite a few waves online after it was published. Researchers accused China Telecom, one of China's biggest state-owned internet service providers, of hijacking and detouring internet traffic through its normally-closed internet infrastructure. Some security experts contested the research paper's findings because it didn't come from an authoritative voice in the world of internet BGP hijacks, but also because the paper touched on many politically sensitive topics, such as China's cyber-espionage activities and how China used BGP hijacks as a way to circumvent the China-US cyber pact of 2015. But today, Doug Madory, Director of Oracle's Internet Analysis division (formerly Dyn), confirmed that China Telecom has, indeed, engaged in internet traffic "misdirection." "I don't intend to address the paper's claims around the motivations of these actions," said Madori. "However, there is truth to the assertion that China Telecom (whether intentionally or not) has misdirected internet traffic (including out of the United States) in recent years."

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A lump of metal in a building near Paris has long served as the global standard for the kilogram. That's about to change. From a report: Later this month, at the international General Conference on Weights and Measures, to be held in France, delegates are expected to vote to get rid of this single physical specimen and instead plump to use a fundamental measurement -- to be defined in terms of an electric current -- in order to define the mass of an object. The king of kilograms is about to be dethroned. And crucially much of the key work that has led to the toppling of the Paris kilogram has been carried out at the National Physical Laboratory where the late Bryan Kibble invented the basic concepts of the device that will replace that ingot in the Pavillon de Breteuil. The Kibble balance works by measuring the electric current that is required to produce an electromagnetic force equal to the gravitational force acting on a mass. A second stage allows the electromagnetic force to be determined in terms of a fundamental constant known as the Planck constant which will, in future, be used to define a kilogram. These machines will provide the standard for weighing objects -- and that means no more dusting of old lumps of alloy to ensure they stay pure and accurate. [...] "One key reason for doing this work is to provide international security," says Robinson. "If the Pavillon de Breteuil burned down tomorrow and the kilogram in its vaults melted, we would have no reference left for the world's metric weights system. There would be chaos. The current definition of the kilogram is the weight of that cylinder in Paris, after all." [...] Another major motivation for the replacement of le grand K is the need to be able to carry out increasingly more and more precise measurements. "Pharmaceutical companies will soon be wanting to use ingredients that will have to be measured in terms of a few millionths or even billionths of a gram," says Prior. "We need to be prepared to weigh substances with that kind of accuracy." Suggested reading: A thread on Twitter which discusses SI units and the redefinition of the kilogram.

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The United Nations' Human Rights Council is examining Beijing's alleged crackdown on Uighur Muslims.

World's fourth-largest island to vote on next head of state amid political crisis, rampant poverty.

Leaders of DR Congo's opposition have agreed to meet in Geneva on Thursday to choose a joint candidate.

Two years into Trump’s tumultuous presidency, evangelical Christians remain some of his most loyal supporters.

If extraterrestrial intelligence exists somewhere in our galaxy, a new MIT study proposes that laser technology on Earth could, in principle, be fashioned into something of a planetary porch light -- a beacon strong enough to attract attention from as far as 20,000 light years away. From a report: The research, which author James Clark calls a "feasibility study," appears today in The Astrophysical Journal. The findings suggest that if a high-powered 1- to 2-megawatt laser were focused through a massive 30- to 45-meter telescope and aimed out into space, the combination would produce a beam of infrared radiation strong enough to stand out from the sun's energy. Such a signal could be detectable by alien astronomers performing a cursory survey of our section of the Milky Way -- especially if those astronomers live in nearby systems, such as around Proxima Centauri, the nearest star to Earth, or TRAPPIST-1, a star about 40 light-years away that hosts seven exoplanets, three of which are potentially habitable. If the signal is spotted from either of these nearby systems, the study finds, the same megawatt laser could be used to send a brief message in the form of pulses similar to Morse code.

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On the Rainier Slack group, I was asked why I’m writing the app. What are my goals? What’s my exit strategy?

The below is how I replied. It’s unedited Slack-writing, so forgive me for (for one thing) suggesting that at age 65 I might not be writing code anymore. (I very much hope to be.)

Here’s the deal with Rainier (and NetNewsWire too). I’ve been obsessed with writing this app for many years. I’m 50 now, and have a good day job, and I don’t need to make any extra money. This means I can afford to make the apps I’m compelled to make. They will do good for the world, and I do have political and social goals for them.

But I don’t expect NetNewsWire to be popular like Twitter, and I don’t expect Rainier to be popular like Ruby or Python or Swift. Not even close.

I’ve worked all these decades to be able to be in the position where I have the ability and freedom to write the apps I want to write. Anyone could argue that I should be putting my skills and experience toward something more likely to be earth-shaking, and that’s fair — but I believe I can do the most good by making the apps I was born to make, rather than working at something that doesn’t excite me.

Large numbers of users doesn’t excite me. High-quality, open source Mac apps excite me. Bringing the power I enjoyed with Frontier to a new generation excites me. Bringing RSS reading back excites me.

My goal is just to be able to continue working on these apps, no matter how few or many users they have. My exit strategy… well, eventually cognitive decline will come, and I’ll write less code and do more writing about the apps. And eventually I’ll end up turning them over to someone else (or some group). But hopefully that’s 15 years from now, at least.

These are the apps I need to make. This is an emotional thing, for sure — but I’m rational enough to understand my heart and to follow it rather than to fight it.

Further reading: Love, from 2015, and Why I develop for Mac OS X from 2002.

AMD on Monday revealed the Zen 2 architecture for the family of processors that it will launch in the coming years, starting with 2019. The move is a follow-up to the competitive Zen designs that AMD launched in March 2017, and it promises two-times improvement in performance throughput. From a report: AMD hopes the Zen 2 processors will keep it ahead of or at parity with Intel, the world's biggest maker of PC processors. The earlier Zen designs enabled chips that could process 52 percent more instructions per clock cycle than the previous generation. Zen has spawned AMD's most competitive chips in a decade, including Ryzen for the desktop, Threadripper (with up to 32 cores) for gamers, Ryzen Mobile for laptops, and Epyc for servers. In the future, you can expect to see Zen 2 cores in future models of those families of chips. AMD's focus is on making central processing units (CPUs), graphics processing units (GPUs), and accelerated processing units (APUs) that put the two other units together on the same chip.

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UNICEF warns intense fighting is now 'dangerously close to al-Thawra hospital' in strategic Yemeni port city.

Bangladesh and Myanmar agreed to start repatriating Rohingya to Rakhine state in November.

Machine learning algorithms don't yet understand things the way humans do -- with sometimes disastrous consequences. Melanie Mitchell, a professor of Computer Science at Portland State University, writes: As someone who has worked in A.I. for decades, I've witnessed the failure of similar predictions of imminent human-level A.I., and I'm certain these latest forecasts will fall short as well. The challenge of creating humanlike intelligence in machines remains greatly underestimated. Today's A.I. systems sorely lack the essence of human intelligence: understanding the situations we experience, being able to grasp their meaning. The mathematician and philosopher Gian-Carlo Rota famously asked, "I wonder whether or when A.I. will ever crash the barrier of meaning." To me, this is still the most important question. The lack of humanlike understanding in machines is underscored by recent cracks that have appeared in the foundations of modern A.I. While today's programs are much more impressive than the systems we had 20 or 30 years ago, a series of research studies have shown that deep-learning systems can be unreliable in decidedly unhumanlike ways. I'll give a few examples. "The bareheaded man needed a hat" is transcribed by my phone's speech-recognition program as "The bear headed man needed a hat." Google Translate renders "I put the pig in the pen" into French as "Je mets le cochon dans le stylo" (mistranslating "pen" in the sense of a writing instrument). Programs that "read" documents and answer questions about them can easily be fooled into giving wrong answers when short, irrelevant snippets of text are appended to the document. Similarly, programs that recognize faces and objects, lauded as a major triumph of deep learning, can fail dramatically when their input is modified even in modest ways by certain types of lighting, image filtering and other alterations that do not affect humans' recognition abilities in the slightest. One recent study showed that adding small amounts of "noise" to a face image can seriously harm the performance of state-of-the-art face-recognition programs. Another study, humorously called "The Elephant in the Room," showed that inserting a small image of an out-of-place object, such as an elephant, in the corner of a living-room image strangely caused deep-learning vision programs to suddenly misclassify other objects in the image.

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A look at VoteWithMe and OutVote, two new political apps that are trying to use peer pressure to get people to vote. From a story: The apps are to elections what Zillow is to real estate -- services that pull public information from government records, repackage it for consumer viewing and make it available at the touch of a smartphone button. But instead of giving you a peek at house prices, VoteWithMe and OutVote let you snoop on which of your friends voted in past elections and their party affiliations -- and then prod them to go to the polls by sending them scripted messages like "You gonna vote?" "I don't want this to come off like we're shaming our friends into voting," said Naseem Makiya, the chief executive of OutVote, a start-up in Boston. But, he said, "I think a lot of people might vote just because they're frankly worried that their friends will find out if they didn't." Whom Americans vote for is private. But other information in their state voter files is public information; depending on the state, it can include details like their name, address, phone number and party affiliation and when they voted. The apps try to match the people in a smartphone's contacts to their voter files, then display some of those details. The data's increasing availability may surprise people receiving messages nudging them to vote -- or even trouble them, by exposing personal politics they might have preferred to keep to themselves. Political campaigns have for years purchased voter files from states or bought national voter databases from data brokers, but the information has otherwise had little public exposure outside of campaign use. Now any app user can easily harness such data to make inferences about, and try to influence, their contacts' voting behavior.

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A joint mission of Egyptian and German archaeologists found several fragments of stone slabs in eastern Cairo.