Long-time Microsoft programmer Raymond Chen recently shared a memory about an unusual single-line instruction that was once added into the Windows kernel code -- accompanied by an "incredulous" comment from the Microsoft programmer who added it:

;
; Invalidate the processor cache so that any stray gamma
; rays (I'm serious) that may have flipped cache bits
; while in S1 will be ignored.
;
; Honestly. The processor manufacturer asked for this.
; I'm serious.
invd

"Less than three weeks later, the INVD instruction was commented out," writes Chen. "But the comment block remains.

"In case we decide to resume trying to deal with gamma rays corrupting the the processor cache, I guess."

PHP 7.3 RC6 was released earlier this week. Phoronix ran some benchmarks and compared the performance of v7.3 RC6 with releases going back to the v5.5 series. From the story: I ran some fresh benchmarks over the past day on PHP 5.5.38, PHP 5.6.38, PHP 7.0.32, PHP 7.1.24, PHP 7.2.12, and the PHP 7.3.0-RC6 test release. All of the PHP5/PHP7 builds were configured and built in the same manner. All tests happened from the same Dell PowerEdge R7425 dual EPYC server running Ubuntu 18.10 Linux.

Besides continuing to evolve the performance of PHP7, the PHP 7.3 release is also delivering on FFI (the Foreign Function Interface) to access functions / variables / data structures from the C language, a platform-independent manner for obtaining information on network interfaces, an is_countable() call, WebP support within GD's image create from string, updated SQLite support, improved PHP garbage collection performance, and many other enhancements. PHP 7.3 is just shy of 10% faster than PHP 7.2 in the popular PHPBench. PHP 7.3 is 31% faster than PHP 7.0 or nearly 3x the speed of PHP5.

A recent TechCrunch article claimed to have identified the best indicator of programming language popularity: GitHub's annual "State of the Octoverse" reports. So Austin-based technology reporter Mike Melanson explored the new verdict in GitHub's 2018 report: It felt to me like the overarching theme of the numbers was one of quiet stasis for the year past, at least when it comes to those languages deemed the cream of the crop. One of the first graphics offered in the post shows the top languages according to the number of repositories created and we see that everything seems to be flowing along, just as it has for the last decade. While GitHub points to a "steady uptick" for JavaScript after 2011, it looks like this list of languages hasn't changed much over time. [The graphic shows the four most popular languages -- every year since early 2014 -- have been JavaScript, Java, Python, and PHP.]

When we look at the top languages according to the number of contributors, we see a similar story, with the top four languages mirrored. In this chart, of course, we see that Ruby is on a steady decline, while Typescript is on a steady rise. The only surprise to be seen here is that C, after a brief uptick in popularity, has taken a bit of a nosedive over the past year. Either way, seven of 10 languages have the same exact ranking....

Finally, beyond the language rankings themselves, GitHub offers a wonderful analysis of just what it is that makes a particular language popular in 2018, boiling it down to three key characteristics: thread safety, interoperability, and being open source.
GitHub's report also identifies its fastest growing languages over the last year -- including Kotin, TypeScript, Rust, Python, and Go. "This year, TypeScript shot up to #7 among top languages used on the platform overall, after making its way in the top 10 for the first time last year," the report notes.

"TypeScript is now in the top 10 most used languages across all regions GitHub contributors come from -- and across private, public, and open source repositories."

An anonymous reader quotes SD Times: Amazon wants to make sure Java is available for free to its users in the long term with the introduction of Amazon Corretto. The solution is a no-cost, multi-platform, production-ready distribution of the Open Java Development Kit (OpenJDK). "Java is one of the most popular languages in use by AWS customers, and we are committed to supporting Java and keeping it free," Arun Gupta, principal open-source technologist at Amazon, wrote in a blog post. "Many of our customers have become concerned that they would have to pay for a long-term supported version of Java to run their workloads. As a first step, we recently re-affirmed long-term support for Java in Amazon Linux. However, our customers and the broader Java community run Java on a variety of platforms, both on and off of AWS."

Amazon Corretto will be available with long-term support and Amazon will continue to make performance enhancements and security fixes to it, the company explained. Amazon plans on making quarterly updates with bug fixes and patches, as well as any urgent fixes necessary outside of its schedule... Corretto 8 is available as a preview with features corresponding to those in OpenJDK 8. General availability for the solution is planned for Q1 2019... "Corretto is designed as a drop-in replacement for all Java SE distributions unless you're using features not available in OpenJDK (e.g., Java Flight Recorder)," Gupta wrote....

According to Gupta, Corretto 8 will be available at no cost until at least June of 2023. The company is working on Corretto 11, which will be available until at least August of 2024. "Amazon has already made several contributions to OpenJDK 8 and we look forward to working closely with the OpenJDK community on future enhancements to OpenJDK 8 and 11," Gupta wrote. "We downstream fixes made in OpenJDK, add enhancements based on our own experience and needs, and then produce Corretto builds. In case any upstreaming efforts for such patches is not successful, delayed, or not appropriate for OpenJDK project, we will provide them to our customers for as long as they add value. If an issue is solved a different way in OpenJDK, we will move to that solution as soon as it is safe to do so."

GitHub saw more than 67 million pull requests this year -- more than a third of GitHub's "lifetime" total of 200 million pull requests since its launch in 2008. It now hosts 96 million repositories, and has over 31 million contributors -- including 8 million who just joined within the last 12 months.

These are among the facts released in GitHub's annual "State of the Octoverse" report -- a surprising number of which involve Microsoft.

• GitHub's top project this year, by contributor count, was Microsoft's Visual Studio Code (with 19,000 contributors), followed by Facebook's React Native (10,000), TensorFlow (9,300) and Angular CLI (8,800) -- as well as Angular (7,600) -- and the open source documentation for Microsoft Azure (7,800).

• Microsoft now has more employees contributing to open source projects than any other company or organization (7,700 employees), followed by Google (5,500), Red Hat (3,300), U.C. Berkeley (2,700), and Intel (2,200).

• The open source documentation for Microsoft Azure is GitHub's fastest-growing open source project, followed by PyTorch (an open source machine learning library for Python).

• Among the "Cool new open source projects" is an Electron app running Windows 95.

But more than 2.1 million organizations are now using GitHub (including public and private repositories) -- which is 40% more than last year -- and the report offers a fun glimpse into the minutiae of life in the coding community.

Read on for more details.

An anonymous reader quotes a report from NPR: A team of researchers conducted their analysis using data stored in something called the UK Biobank. More than 500,000 people have contributed blood, urine and saliva samples to the biobank, which scientists can use to answer various research questions. The volunteers also filled out questionnaires asking a variety of health-related questions, including how much coffee they drink. Part of what determines our sensitivity to bitter substances is determined by the genes we inherit from our parents. So the researchers used genetic analysis of samples from the biobank to find people who were more or less sensitive to three bitter substances: caffeine, quinine (think tonic water) and a chemical called propylthiouracil that is frequently used in genetic tests of people's ability to taste bitter compounds.

Then they looked to see if people sensitive to one or more of these substances drank more or less coffee than people who were not sensitive. To the researchers' surprise, people who were more sensitive to caffeine reported increased coffee consumption compared with people who were less sensitive. The result was restricted to the bitterness of caffeine. People sensitive to quinine and propylthiouracil -- neither of which is in coffee -- tended to drink less coffee. The effect of increased caffeine sensitivity was small: it only amounted to about two tablespoons more coffee per day. But by analyzing so many samples, the researchers were able to detect even small differences like that. The reason may be that people "learn to associate that bitter taste with the stimulation that coffee can provide," says one of the study authors.

A new report published in the journal Science Direct says there is no link between insomnia and early death. The researchers reportedly "reviewed 17 studies, which covered close to 37 million people, to compile their results," the BBC notes. From the report: This new report goes against what the NHS says, which claims that as well as putting people at risk of obesity, heart disease and type 2 diabetes, that insomnia shortens life expectancy. The NHS recommends things like exercising to tire yourself out during the day and cutting down on caffeine. It also says smoking, eating too much or drinking alcohol late at night can stop you from sleeping well. Other recommendations include writing a list of things that are playing on your mind and trying to get to bed at a similar time every night. "There was no difference in the odds of mortality for those individuals with symptoms of insomnia when compared to those without symptoms," the study says. "This finding was echoed in the assessment of the rate of mortality in those with and without symptoms of insomnia using the outcomes of multivariate models, with the most complete adjustment for potential confounders, as reported by the individual studies included in this meta-analysis. Additional analyses revealed a tendency for an increased risk of mortality associated with hypnotic use."

Microsoft announced Friday that it is opening up its online apps store to 64-bit ARM app submissions from developers, further cementing its commitment to make Windows 10 on ARM a viable platform. From a report: Also, with the release of Visual Studio 2017 version 15.9 this week, developers can now create ARM64 apps using officially supported SDK and tools. Microsoft announced Windows 10 on ARM in December 2017 with three big feature promises: The screen turns on "instantly," unlike existing PCs; LTE is built right in; and the battery can last for days. But the unveiling came with a big caveat. These Always Connected PCs, as Microsoft and Qualcomm call them, were not coming anytime soon. [...] Microsoft wants to help address the performance problems by getting developers to rebuild apps for the platform. Developers can now use Visual Studio 15.9 to recompile UWP and C++ Win32 apps to run natively on Windows 10 on ARM devices.

What do Heartbleed, WannaCry, and million dollar iPhone bugs have in common? From a report: One bug affects iPhones, another affects Windows, and the third affects servers running Linux. At first glance these might seem unrelated, but in reality all three were made possible because the software that was being exploited was written in programming languages which allow a category of errors called "memory unsafety." By allowing these types of vulnerabilities, languages such as C and C++ have facilitated a nearly unending stream of critical computer security vulnerabilities for years.

Imagine you had a program with a list of 10 numbers. What should happen if you asked the list for its 11th element? Most of us would say an error of some sort should occur, and in a memory safe programming language (for example, Python or Java) that's what would happen. In a memory unsafe programming language, it'll look at wherever in memory the 11th element would be (if it existed) and try to access it. Sometimes this will result in a crash, but in many cases you get whatever happens to be at that location in memory, even if that portion of memory has nothing to do with our list. This type of vulnerability is called a "buffer-overflow," and it's one of the most common types of memory unsafety vulnerabilities. HeartBleed, which impacted 17 percent of the secure web servers on the internet, was a buffer-overflow exploit, letting you read 60 kilobytes past the end of a list, including passwords and other users' data.

An anonymous reader writes: The Ruby programming language is impacted by a similar "deserialization issue" that has affected and wreaked havoc in the Java ecosystem in 2016; an issue that later also proved to be a problem for .NET and PHP applications as well. Researchers published proof-of-concept code this week showing how to exploit serialization/deserialization operations supported by the built-in features of the Ruby programming language itself.

"Versions 2.0 to 2.5 are affected," researchers said. "There is a lot of opportunity for future work including having the technique cover Ruby versions 1.8 and 1.9 as well as covering instances where the Ruby process is invoked with the command line argument --disable-all," the elttam team added. "Alternate Ruby implementations such as JRuby and Rubinius could also be investigated."

The deserialization issues can be used for remote code execution and taking over vulnerable servers. While .NET and PHP were affected, it was Java until now that has faced the biggest issues with deserialization, earlier this year, Oracle announcing it was dropping deserialization support from the Java language's standard package.

"A Russian security researcher has published details about a zero-day vulnerability affecting VirtualBox, an Oracle software application for running virtual machines," reports ZDNet. According to a text file uploaded on GitHub, Saint Petersburg-based researcher Sergey Zelenyuk has found a chain of bugs that can allow malicious code to escape the VirtualBox virtual machine (the guest OS) and execute on the underlying (host) operating system. Once out of the VirtualBox VM, the malicious code runs in the OS' limited userspace (kernel ring 3), but Zelenyuk said that attackers can use many of the already known privilege escalation bugs to gain kernel-level access (ring 0). "The exploit is 100% reliable," Zelenyuk said. "It means it either works always or never because of mismatched binaries or other, more subtle reasons I didn't account."

The Russian researcher says the zero-day affects all current VirtualBox releases, works regardless of the host or guest operating system the user is running, and is reliable against the default configuration of newly created VMs. Besides a detailed write-up of the entire exploit chain, Zelenyuk has also published video proof, showing the zero-day in action against an Ubuntu VM running inside VirtualBox on an Ubuntu host OS.
Long-time Slashdot reader Artem Tashkinov warns that the exploit utilizes "bugs in the data link layer of the default E1000 network interface adapter which makes this vulnerability critical for everyone who uses virtualization to run untrusted code." According to ZDNet, the same security researcher "found and reported a similar issue in mid-2017, which Oracle took over 15 months to fix."

"This lengthy and drawn-out patching process appears to have angered Zelenyuk, who instead of reporting this bug to Oracle, has decided to publish details online without notifying the vendor."

An anonymous reader quotes a report from Bloomberg: Amazon.com Inc. has taken another step toward eliminating software from Oracle Corp. that has long helped the e-commerce giant run its retail business. An executive with Amazon's cloud-computing unit hit back at Oracle Executive Chairman Larry Ellison, who ridiculed the internet giant as recently as last month for relying on Oracle databases to track transactions and store information, even though Amazon sells competing software, including Redshift, Aurora and DynamoDB. Amazon's effort to end its use of Oracle's products has made new progress, Andy Jassy, the chief executive officer of Amazon Web Services, tweeted Friday. "In latest episode of 'uh huh, keep talkin' Larry,' Amazon's Consumer business turned off its Oracle data warehouse Nov. 1 and moved to Redshift," Jassy wrote. By the end of 2018, Amazon will stop using 88 percent of its Oracle databases, including 97 percent of its mission-critical databases, he added.

Samsung said Wednesday it was rolling out new voice-assistant features to challenge its U.S. rivals' dominance in AI. At its developer conference, where the company is also expected to unveil its first foldable smartphone, the company said it was fully opening its virtual assistant, called Bixby, to third-party developers and businesses for the first time. The move may help the company challenge incumbent players Amazon's Alexa, Apple's Siri, and Google's Assistant.

Much of the assistant market is yet to be tapped, and it is the right time for developers to embrace Bixby, an executive said. The company said it is offering a no-trade off set of tools (what it calls Bixby Developer Studio) to developers to make use of Bixby. It's the first time any company is offering the full suite of tools that it uses to make its assistant to developers, the company said.

Further reading: VentureBeat.

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."

A new study conducted at the University of Innsbruck in Austria finds that people who drink their coffee black often has psychopathic or sadistic traits. The study surveyed more than 1,000 adults about their taste preferences with foods and drinks that are bitter. They also took four different personality tests that assessed traits like narcissism, psychopathy, sadism, and aggression. From a report: Researchers found a trend that suggested a correlation between preferences for black coffee, and other bitter tastes, and sadistic or psychopathic personality traits. They also found that people who enjoyed milky or sugary coffee, and other sweet flavors, generally tended to have more "agreeable" personality traits like sympathy, cooperation, and kindness. The closest correlation found in the study was between bitter foods, like radishes and tonic water, and "everyday sadism," or the enjoyment of inflicting moderate levels of pain on others. The researchers went further, suggesting that this association between bitter foods and psychopathic tendencies could "become chronic" and get worse with time.

ZDNet writes: There have been three great movements shaping the information technology landscape. There is Agile, which emphasizes collaboration in software development; Lean IT, which promotes delivering software faster, better and cheaper; and DevOps, which seeks to align software development with continuous delivery...

These three movements have their own advocates, methodologies and terminology. But when you think about Agile, Lean IT and Agile, aren't these all the same thing, essentially? They all have the same goals, which is to deliver high-quality software on a continuous basis, collaboratively. Is it time to chuck the terminology and semantics and bring these three activities under the same roof?
Their article cites "advocates" -- two authors who have both written books about Lean It -- who are pushing for the concepts to all be brought together into a single mold. But it'd be interesting to get some opinions and real-world anecdotes from Slashdot's readers. So leave your own thoughts in the comments.

Are DevOps, Agile, and Lean IT the same thing?

An anonymous reader quotes a report from ZDNet: Google announced today four new security features for securing Google accounts. These four updates are meant to bolster protections before and after users sign into accounts, but also in the case of recovering after a hack. According to Google's Jonathan Skelker, the first of these protections that Google has rolled out today comes into effect even before users start typing their username and password. In the coming future, Skelker says that Google won't allow users to sign into accounts if they disabled JavaScript in their browser. The reason is that Google uses JavaScript to run risk assessment checks on the users accessing the login page, and if JavaScript is disabled, this allows crooks to pass through those checks undetected. This change is likely to impact only a very small number of users -- around 0.01 percent according to Google's data -- but it will likely impact bots harder, as many of them run through headless browsers where this feature is turned off for performance reasons. Google also plans to pull data from Google Play Protect and list all malicious apps that are still installed on a user's Android smartphone. Google's Jonathan Skelker says they will be notifying you "whenever you share any data from your Google Account," expanding on the notifications it sends when you've granted access to sensitive information, like Gmail data or your Google Contacts.

"Last but not least is a security feature that Google plans to use after an account hack," reports ZDNet. "This feature is already live and is a new set of procedures for regaining access and re-securing compromised profiles. The procedure is detailed in this Google support page, and besides just helping users regain access to accounts, it will also help them check financial activity related to Google Pay accounts, review new files added to Gmail or Drive, and secure other accounts at other services that are tied to the main Google account."

Security researcher David Buchanan has found that Twitter image uploads can be polyglot files, meaning they can be valid simultaneously in multiple formats, such as a .jpg, a .rar archive and a .zip archive. From a report: Using some Python code he wrote, he created a thumbnail image of William Shakespeare overlaid with the words, "Unzip Me" and posted it to Twitter. The .jpg image is also a valid .zip file, so if you download it, you can unzip it and extract the contents, a multipart .rar archive of the text of Shakespeare's plays. [...] Twitter performs some processing on uploaded images, which has the potential to mess with the data. But Buchanan found that his multi-format file survived this process. It may be that image itself (excluding the rather bulky metadata) is light enough not to trigger any compression or post-upload processing.

Donald Fischer, who served as a product manager for Red Hat Enterprise Linux during its creation and early years of growth, writes: Red Hat saw, earlier than most, that the ascendance of open source made the need to pay for code go away, but the need for support and maintenance grew larger than ever. Thus Red Hat was never in the business of selling software, rather it was in the business of addressing the practical challenges that have always come along for the ride with software. [...] As an open source developer, you created that software. You can keep your package secure, legally documented, and maintained; who could possibly do it better? So why does Red Hat make the fat profits, and not you? Unfortunately, doing business with large companies requires a lot of bureaucratic toil. That's doubly true for organizations that require security, legal, and operational standards for every product they bring in the door. Working with these organizations requires a sales and marketing team, a customer support organization, a finance back-office, and lots of other "business stuff" in addition to technology. Red Hat has had that stuff, but you haven't.

And just like you don't have time to sell to large companies, they don't have time to buy from you alongside a thousand other open source creators, one at a time. Sure, big companies know how to install and use your software. (And good news! They already do.) But they can't afford to put each of 1100 npm packages through a procurement process that costs $20k per iteration. Red Hat solved this problem for one corner of open source by collecting 2,000+ open source projects together, adding assurances on top, and selling it as one subscription product. That worked for them, to the tune of billions. But did you get paid for your contributions?

Jeffrey M. Perkel, writing for Nature: Perched atop the Cerro Pachon ridge in the Chilean Andes is a building site that will eventually become the Large Synoptic Survey Telescope (LSST). When it comes online in 2022, the telescope will generate terabytes of data each night as it surveys the southern skies automatically. And to crunch those data, astronomers will use a familiar and increasingly popular tool: the Jupyter notebook. Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia resources in a single document. Computational notebooks have been around for decades, but Jupyter in particular has exploded in popularity over the past couple of years. This rapid uptake has been aided by an enthusiastic community of user-developers and a redesigned architecture that allows the notebook to speak dozens of programming languages -- a fact reflected in its name, which was inspired, according to co-founder Fernando Perez, by the programming languages Julia (Ju), Python (Py) and R.

[...] For data scientists, Jupyter has emerged as a de facto standard, says Lorena Barba, a mechanical and aeronautical engineer at George Washington University in Washington DC. Mario Juric, an astronomer at the University of Washington in Seattle who coordinates the LSST's data-management team, says: "I've never seen any migration this fast. It's just amazing." Computational notebooks are essentially laboratory notebooks for scientific computing. Instead of pasting, say, DNA gels alongside lab protocols, researchers embed code, data and text to document their computational methods. The result, says Jupyter co-creator Brian Granger at California Polytechnic State University in San Luis Obispo, is a "computational narrative" -- a document that allows researchers to supplement their code and data with analysis, hypotheses and conjecture. For data scientists, that format can drive exploration.