DeepMind's new artificial intelligence system called AlphaCode was able to "achieve approximately human-level performance" in a programming competition. The findings have been published in the journal Science. Slashdot reader sciencehabit shares a report from Science Magazine: AlphaCode's creators focused on solving those difficult problems. Like the Codex researchers, they started by feeding a large language model many gigabytes of code from GitHub, just to familiarize it with coding syntax and conventions. Then, they trained it to translate problem descriptions into code, using thousands of problems collected from programming competitions. For example, a problem might ask for a program to determine the number of binary strings (sequences of zeroes and ones) of length n that don't have any consecutive zeroes. When presented with a fresh problem, AlphaCode generates candidate code solutions (in Python or C++) and filters out the bad ones. But whereas researchers had previously used models like Codex to generate tens or hundreds of candidates, DeepMind had AlphaCode generate up to more than 1 million.

To filter them, AlphaCode first keeps only the 1% of programs that pass test cases that accompany problems. To further narrow the field, it clusters the keepers based on the similarity of their outputs to made-up inputs. Then, it submits programs from each cluster, one by one, starting with the largest cluster, until it alights on a successful one or reaches 10 submissions (about the maximum that humans submit in the competitions). Submitting from different clusters allows it to test a wide range of programming tactics. That's the most innovative step in AlphaCode's process, says Kevin Ellis, a computer scientist at Cornell University who works AI coding.

After training, AlphaCode solved about 34% of assigned problems, DeepMind reports this week in Science. (On similar benchmarks, Codex achieved single-digit-percentage success.) To further test its prowess, DeepMind entered AlphaCode into online coding competitions. In contests with at least 5000 participants, the system outperformed 45.7% of programmers. The researchers also compared its programs with those in its training database and found it did not duplicate large sections of code or logic. It generated something new -- a creativity that surprised Ellis. The study notes the long-term risk of software that recursively improves itself. Some experts say such self-improvement could lead to a superintelligent AI that takes over the world. Although that scenario may seem remote, researchers still want the field of AI coding to institute guardrails, built-in checks and balances.

An anonymous reader quotes a report from TechCrunch: Apple is loosening its requirements around how developers have to price their apps as legal and regulatory pressure over its tight control of the App Store intensifies. The company announced today it's expanding its App Store pricing system to offer developers access to 700 additional price points, bringing the new total number of price points available to 900. It will also allow U.S. developers to set prices for apps, in-app purchases or subscriptions as low as $0.29 or as high as $10,000, and in rounded endings (like $1.00) instead of just $0.99. Similar new policies to reduce restrictions around price points will roll out in global markets, alongside new tools aimed at helping developers better manage pricing outside their local market. The changes will initially become available starting today, Dec. 6, 2022, for auto-renewable subscriptions. They'll become available to paid apps and in-app purchases in Spring 2023.

U.S. consumers may have noticed some App Store prices already ended in other digits besides just $0.99. But that's because auto-renewing subscriptions had access to a slightly wider range of price points than other consumables -- including the ability to set their prices as low as $0.49. But these same rules did not apply to non-subscription app pricing, which added to consumer and developer confusion. The new system is looking to simplify the pricing so it's more consistent across the board. For U.S. apps in the lowest tiers, price points can increase in $0.10 increments up to $10.00 going forward. These price steps become less granular when you move into higher price points. For example, between $10 and $50, they then can increase by $0.50 increments. Between $50 and $200, the price steps would be $1.00, and so on.

In addition to the updated pricing policies, Apple is also now rolling out tools to help developers better manage currency and taxes across storefronts. Starting today, developers will be able to set their subscription prices in their local currency as the basis for automatically generating pricing across the other 174 storefronts and 44 currencies, or they can choose to manually set prices in each market. When pricing is set automatically, pricing outside a developer's home market will update as foreign exchange and tax rates change. This functionality will expand to all other apps beyond subscription apps in Spring 2023. Also coming in 2023, developers with paid apps and in-app purchases will be able to choose to set local territory pricing, which isn't impacted by automatic price adjustments based on the changes in taxes and foreign exchange rates. And all developers will also be able to define the availability of in-app purchases by storefront.

"The Perl Advent Calendar has come a long way since it's first year in 2000," says an announcement on Reddit. But in fact the online world now has many daily advent calendars aimed at programmers — offering tips about their favorite language or coding challenges.

• The HTMHell site — which bills itself as "a collection of bad practices in HTML, copied from real websites" — decided to try publishing 24 original articles for their 2022 HTMHell Advent Calendar. Elsewhere on the way there's the Web Performance Calendar, promising daily articles for speed geeks. And the 24 Days in December blog comes to life every year with new blog posts for PHP users.

• The JVM Advent Calendar brings a new article daily about a JVM-related topic. And there's also a C# Advent calendar promising two new blog posts about C# every day up to (and including) December 25th.

• The Perl Advent Calendar offers fun stories about Perl tools averting December catastrophes up at the North Pole. (Day One's story — "Silent Mite" — described Santa's troubles building software for a ninja robot alien toy, since its embedded hardware support contract prohibited unwarrantied third-party code, requiring a full code rewrite using Perl's standard library.) Other stories so far this December include "Santa is on GitHub" and "northpole.cgi"

• The code quality/security software company SonarSource has a new 2022 edition of their Code Security Advent Calendar — their seventh consecutive year — promising "daily challenges until December 24th. Get ready to fill your bag of security tricks!" (According to a blog post the challenges are being announced on Twitter and on Mastadon.

• Just as the Perl community spawned another language named Perl 6 — now called Raku — there's also a Raku-themed advent calendar. (It's now at a new URL, though it's been running since 2009.) Day Three's post tells the story of Santa and the Rakupod Wranglers.

• "24 Pull Requests" dares participants to make 24 pull requests before December 24th. (The site's tagline is "giving back to open source for the holidays.") Over the years tens of thousands of developers (and organizations) have participated — and this year they're also encouraging organizers to hold hack events.

• The Advent of JavaScript and Advent of CSS sites promise 24 puzzles delivered by email (though you'll have to pay if you also want them to email you the solutions!)

• TryHackMe.com has its own set of darily cybersecurity puzzles (and even a few prizes).

• For 2022 Oslo-based Bekk Consulting (a "strategic internet consulting company") is offering an advent calendar of their own. A blog post says its their sixth annual edition, and promises "new original articles, podcasts, tutorials, listicles and videos every day up until Christmas Eve... all written and produced by us - developers, designers, project managers, agile coaches, management consultants, specialists and generalists."

Whether you participate or not, the creation of programming-themed advent calendar sites is a long-standing tradition among geeks, dating back more than two decades. (Last year Smashing magazine tried to compile an exhaustive list of the various sites serving all the different developer communities.)

But no list would be complete without mentioning Advent of Code. This year's programming puzzles involve everything from feeding Santa's reindeer and loading Santa's sleigh. The site's About page describes it as "an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like."

Now in its eighth year, the site's daily two-part programmig puzzles have a massive online following. This year's Day One puzzle was solved by 178,628 participants...

Long-time Slashdot reader destinyland writes: Since 1999 fiction writers have tried starting and finishing the composition of 50,000-word novels in November for "National Novel Writing Month". But for the last nine years, programmers have instead tried generating 50,000 word novels — and this year's edition received more than 50 entries.

"The only rule is that you share at least one novel and also your source code at the end," explains the event's official page on GitHub.
From the repository's README file: The "novel" is defined however you want. It could be 50,000 repetitions of the word "meow" (and yes it's been done!). It could literally grab a random novel from Project Gutenberg. It doesn't matter, as long as it's 50k+ words.

Please try to respect copyright. We're not going to police it, as ultimately it's on your head if you want to just copy/paste a Stephen King novel or whatever, but the most useful/interesting implementations are going to be ones that don't engender lawsuits.
This year's computer-generated novels include " sunday in the sunday in the," mapping the colors from each dot in the Pointillist painting Sunday Afternoon on the Island of La Grande Jatte onto words from the lyrics of a musical about that painting. ("Rush blind. Link adds shallot again....")

"Rust is awesome, for certain things. But think twice before picking it up for a startup that needs to move fast," Matt Welsh, co-founder and chief executive of Fixie.ai and former Google engineering director, writes in a blog post. From the post: I hesitated writing this post, because I don't want to start, or get into, a holy war over programming languages. (Just to get the flame bait out of the way, Visual Basic is the best language ever!) But I've had a number of people ask me about my experience with Rust and whether they should pick up Rust for their projects. So, I'd like to share some of the pros and cons that I see of using Rust in a startup setting, where moving fast and scaling teams is really important. Right up front, I should say that Rust is very good at what it's designed to do, and if your project needs the specific benefits of Rust (a systems language with high performance, super strong typing, no need for garbage collection, etc.) then Rust is a great choice. But I think that Rust is often used in situations where it's not a great fit, and teams pay the price of Rust's complexity and overhead without getting much benefit.

My primary experience from Rust comes from working with it for a little more than 2 years at a previous startup. This project was a cloud-based SaaS product that is, more-or-less, a conventional CRUD app: it is a set of microservices that provide a REST and gRPC API endpoint in front of a database, as well as some other back-end microservices (themselves implemented in a combination of Rust and Python). Rust was used primarily because a couple of the founders of the company were Rust experts. Over time, we grew the team considerably (increasing the engineering headcount by nearly 10x), and the size and complexity of the codebase grew considerably as well. As the team and codebase grew, I felt that, over time, we were paying an increasingly heavy tax for continuing to use Rust. Development was sometimes sluggish, launching new features took longer than I would have expected, and the team was feeling a real productivity hit from that early decision to use Rust. Rewriting the code in another language would have, in the long run, made development much more nimble and sped up delivery time, but finding the time for the major rewrite work would have been exceedingly difficult.

So we were kind of stuck with Rust unless we decided to bite the bullet and rewrite a large amount of the code. Rust is supposed to be the best thing since sliced bread, so why was it not working so well for us? [...] Despite being some of the smartest and most experienced developers I had worked with, many people on the team (myself included) struggled to understand the canonical ways to do certain things in Rust, how to grok the often arcane error messages from the compiler, or how to understand how key libraries worked (more on this below). We started having weekly "learn Rust" sessions for the team to help share knowledge and expertise. This was all a significant drain on the team's productivity and morale as everyone felt the slow rate of development. As a comparison point of what it looks like to adopt a new language on a software team, one of my teams at Google was one of the first to switch entirely from C++ to Go, and it took no more than about two weeks before the entire 15-odd-person team was quite comfortably coding in Go for the first time.

An anonymous reader quotes a report from Motherboard: Bohemia Interactive, the Czech Republic based developer of the military simulator game Arma 3, has published a blog and a video it hopes will help it with a unique problem. Footage from the video game known for its realism has gone viral several times since the game's release in 2013 as people have tried to pass off clips of the military simulation as footage of real war. This happens a lot, so often that there are multiple debunking stories on Reuters and the Associated Press specifically about debunking viral clips of war footage. Since Russia's invasion of Ukraine in February, the problem has gotten much worse. The invasion is the largest ground war in Europe in a generation and people around the world gobble up every scrap of information they can. Pranksters and fraudsters have taken to uploading clips from Arma 3 to capitalize on that need for information.

Arma 3 is a hyper realistic military simulation and sandbox. It's meant to be a realistic modeling of real world conflict. It's even teamed up with the International Committee of the Red Cross to release DLC that details the after effects of armed conflict. A sister studio, Bohemia Interactive Simulations, broke from the company in 2013 and makes simulations for the Pentagon using similar technology. The game is also a sandbox with a vibrant modding scene (PlayerUnknown's Battlegrounds began its life as an Arma 3 mod) that allows players to customize the game however they want. That devotion to realism and open platform has made Arma 3 the perfect platform to use to create fake war footage. "While it's flattering that Arma 3 simulates modern war conflicts in such a realistic way, we are certainly not pleased that it can be mistaken for real-life combat footage and used as war propaganda," Pavel Krizka, PR Manager of Bohemia Interactive, said in a November 28 press release. "It has happened in the past (Arma 3 videos allegedly depicted conflicts in Afghanistan, Syria, Palestine, and even between India and Pakistan), but nowadays this content has gained traction in regard to the current conflict in Ukraine."

The life cycle is almost always the same. An Arma 3 nerd uploads something to YouTube and other people pull the video, edit it to make it look more realistic, then pass it off as actual footage of the conflict. The footage goes viral then the fact-checkers come in and tell everyone it's a video game. Bohemia Interactive issues a statement and then everyone waits for the next fake to come along. "We've been trying to fight against such content by flagging these videos to platform providers (FB, YT, TW, IG etc.), but it's very ineffective," Krizka said in the press release. "With every video taken down, ten more are uploaded each day. We found the best way to tackle this is to actively cooperate with leading media outlets and fact-checkers (such as AFP, Reuters, and others), who have better reach and the capacity to fight the spreading of fake news footage effectively." Some of the tells of fake footage include a low resolution, a shaky camera, and/or a night setting. "They're often without sound, don't feature people in motion, and sometimes still include the HUD elements from the video game," adds Motherboard. "There's typically unnatural particle effects, unrealistic vehicles, uniforms, and equipment."

"We have seen many Arma players pointing out mistakenly identified footage, which helps viewers understand what they're seeing," said Bohemia Interactive. "Thank you for helping!"

Long-time Slashdot reader destinyland writes: A new book identifies "26 Lines of Code That Changed the World." But its cheeky title also incorporates a comment from Unix's source code — "You are Not Expected to Understand This". From a new interview with the book's editor:

With chapter titles like "Wear this code, go to jail" and "the code that launched a million cat videos," each chapter offers appreciations for programmers, gathering up stories about not just their famous lives but their sometimes infamous works. (In Chapter 10 — "The Accidental Felon" — journalist Katie Hafner reveals whatever happened to that Harvard undergraduate who went on to inadvertently create one of the first malware programs in 1988...) The book quickly jumps from milestones like the Jacquard Loom and the invention of COBOL to bitcoin and our thought-provoking present, acknowledging both the code that guided the Apollo 11 moon landing and the code behind the 1962 videogame Spacewar. The Smithsonian Institution's director for their Center for the Study of Invention and Innovation writes in Chapter 4 that the game "symbolized a shift from computing being in the hands of priest-like technicians operating massive computers to enthusiasts programming and hacking, sometimes for the sheer joy of it."

I contributed chapter 9, about a 1975 comment in some Unix code that became "an accidental icon" commemorating a "momentary glow of humanity in a world of unforgiving logic." This chapter provided the book with its title. (And I'm also responsible for the book's index entry for "Linux, expletives in source code of".) In a preface, the book's editor describes the book's 29 different authors as "technologists, historians, journalists, academics, and sometimes the coders themselves," explaining "how code works — or how, sometimes, it doesn't work — owing in no small way to the people behind it."

"I've been really interested over the past several years to watch the power of the tech activists and tech labor movements," the editor says in this interview. "I think they've shown really immense power to effect change, and power to say, 'I'm not going to work on something that doesn't align with what I want for the future.' That's really something to admire.

"But of course, people are up against really big forces...."

Linux 6.1 (released last month) included what Linus Torvalds described as "initial Rust scaffolding," remembers this update from SD Times But now, "work has already been done since the 6.1 release to add more infrastructure for Rust in the kernel, though still none of the code interacts with any C code."

And there's still no actual Rust code in Linux: "You need to get all those things that can make sure that Rust can compile, and you can do the debugging and all these things," explained Joel Marcey, director of advocacy and operations for the Rust Foundation, "and make sure that the memory safety is there and all that sort of stuff. And that has to happen first before you can actually write any real code in Rust for the Linux kernel itself."

Marcey explained that Linux is going to be doing this inclusion very piecemeal, with lots of little integrations here and there over time so they can see how it is working. "I would imagine that over the next year, you're going to see more small incremental changes to the kernel with Rust, but as people are seeing that it's actually kind of working out, you'll be able to maybe, for example, write Linux drivers or whatever with Rust," said Marcey....

According to Bec Rumbul, executive director of the Rust Foundation, Rust being added to the kernel is an "enormous vote of confidence in the Rust programming language." She explained that in the past other languages have been planned to make it into the kernel and ended up not getting put in. "I think having someone with the kind of intellectual gravity of Linus Torvalds saying 'No, it's going in there,' that kind of says an awful lot about how reliable Rust already is and how much potential there is for the future as well," she said.

Rumbul believes that there will be an increased interest in the language, which is still relatively new (It first made its debut in 2010) compared to some of the other languages out there to choose from. "I suspect that because Rust is now in the kernel, and it's just being talked about much ... more widely, that it will seem like an attractive prospect to a lot of people that are looking to develop their skills and their knowledge," she said. Rumbul hopes people will also be inspired to participate in the language as contributors and maintainers, because those are some of the less popular roles within open source, but are extremely critical to the health of a language, she explained.
The Rust Foundation also launched a new security team in September to ensure best practices (including a dedicated security engineer). Their first initiative will be a security audit and threat modeling exercises. "We want to basically shore up," Rust operations director Marcey tells SD Times, "to ensure that Rust itself is actually as secure as we always say it is."

In this year's Stack Overflow Developer Survey, 86.73% of developers said they love Rust.

Google is working on a secretive project that uses machine learning to train code to write, fix, and update itself. From a report: This project is part of a broader push by Google into so-called generative artificial intelligence, which uses algorithms to create images, videos, code, and more. It could have profound implications for the company's future and developers who write code. The project, which began life inside Alphabet's X research unit and was codenamed Pitchfork, moved into Google's Labs group this summer, according to people familiar with the matter. By moving into Google, it signaled its increased importance to leaders. Google Labs pursues long-term bets, including projects in virtual and augmented reality.

Pitchfork is now part of a new group at Labs named the AI Developer Assistance team run by Olivia Hatalsky, a long-term X employee who worked on Google Glass and several other moonshot projects. Hatalsky, who ran Pitchfork at X, moved to Labs when it migrated this past summer. Pitchfork was built for "teaching code to write and rewrite itself," according to internal materials seen by Insider. The tool is designed to learn programming styles and write new code based on those learnings, according to people familiar with it and patents reviewed by Insider. "The team is working closely with the Research team," a Google representative said. "They're working together to explore different use cases to help developers."

Kite, a start-up that has been developing artificial intelligence technology to help developers write code for nearly a decade, is saying farewell and open-sourcing its code. Silicon Republic reports: Based in San Francisco, Kite was founded in 2014 as an early pioneer in the emerging field of AI that assists software developers in writing code -- an 'autocomplete' for programming of sorts. But now, after eight years of pursuing its vision to be a leader in AI-assisted programming, founder Adam Smith announced on the company website that the business is now wrapping up. According to him, even state-of-the-art machine learning models today don't understand the structure of code -- and too few developers are willing to pay for available services. "We failed to deliver our vision of AI-assisted programming because we were 10-plus years too early to market, ie, the tech is not ready yet," Smith explained. "You can see this in GitHub Copilot, which is built by GitHub in collaboration with OpenAI. As of late 2022, Copilot shows a lot of promise but still has a long way to go."

Copilot was first revealed in June 2021 as an AI assistant for programmers that essentially does for coding what predictive text does for writing emails. Developed in collaboration with OpenAI, GitHub had kept Copilot in technical preview until this summer, during which time it had been used by more than 1.2m developers. The AI was made available to all developers in June, at a cost of $10 a month or $100 a year. However, Smith said that the inadequacy of machine learning models in understanding the structure of code, such as non-local context, has been an insurmountable challenge for the Kite team. "We made some progress towards better models for code, but the problem is very engineering intensive. It may cost over $100m to build a production-quality tool capable of synthesizing code reliably, and nobody has tried that quite yet."

While the business could have still been successful without necessarily increasing developer productivity by 10 times using AI, Smith said he thinks that Kite's delay and unsuccessful attempt at monetizing the service prevented the start-up from taking flight. "We sequenced building our business in the following order: First we built our team, then the product, then distribution and then monetization," he explained, adding that Kite did not reach product-market fit until 2019, five years after starting the company. Despite the time taken to get to the market, Smith said Kite was able to capture 500,000 monthly active developers using its AI with "almost zero marketing spend." But the product failed to generate revenue because the developers refused to pay for it. Smith says most of their code has been open sourced on GitHub, including their "data-driven Python type inference engine, Python public-package analyzer, desktop software, editor integrations, GitHub crawler and analyzer, and more more."

While the popularity of jQuery is decreasing, React.JS "is currently the most widely used client-side framework," reports ZDNet, citing SlashData's 23rd State of the Developer Nation report (compiled from more than 26,000 developers last summer from 163 countries).

ZDNet believe it shows developers "experimenting less and sticking with what they know and what works." JavaScript remains the largest programming language community, SlashData found. According to its research, there are an estimated 19.6 million developers worldwide using JavaScript every day in everything from web development and mobile apps to backend coding, cloud and game design. Java, meanwhile, is growing rapidly. In the last two years, the size of the Java community has more than doubled from 8.3 million to 16.5 million, SlashData found. For perspective, the global developer population grew about half as fast over the same period....

Python also continued to grow strongly, adding about eight million new developers over the last two years, according to SlashData. It accredited the rise of data science and machine learning as "a clear factor in Python's growing popularity". Approximately 63% of machine-learning developers and data scientists report using Python, whereas less than 15% use R, another programming language often associated with data science.
Both the Kotlin and Rust communities doubled in size in the past two years, the article points out. But according to the survey, only 9% of developers were involved in blockchain technologies.

Yet 27% of respondents reported they were learning about (if not currently working on) cryptocurrency-based projects. ZDNet summarizes the findings: Of the three blockchain technologies covered in the report, non-fungible tokens (NFTs) were found to be of least interest to developers: 58% showed "no interest" in NFTs, which SlashData said was "likely due to its perception as a novelty".

The report found that one-quarter (25%) of developers currently work on, or are learning about, blockchain applications other than cryptocurrencies.

The CTO of a software company argues the software industry's current trajectory "is toward increasing complexity, longer product-development times, and greater fragility of production systems" — not to mention nightmarish problems maintaining code.

"To address such issues, companies usually just throw more people at the problem: more developers, more testers, and more technicians who intervene when systems fail. Surely there must be a better way," they write in IEEE Spectrum. "I'm part of a growing group of developers who think the answer could be functional programming...." Today, we have a slew of dangerous practices that compromise the robustness and maintainability of software. Nearly all modern programming languages have some form of null references, shared global state, and functions with side effects — things that are far worse than the GOTO ever was. How can those flaws be eliminated? It turns out that the answer has been around for decades: purely functional programming languages....

Indeed, software based on pure functions is particularly well suited to modern multicore CPUs. That's because pure functions operate only on their input parameters, making it impossible to have any interactions between different functions. This allows the compiler to be optimized to produce code that runs on multiple cores efficiently and easily....

Functional programming also has a solution to Hoare's "billion-dollar mistake," null references. It addresses that problem by disallowing nulls. Instead, there is a construct usually called Maybe (or Option in some languages). A Maybe can be Nothing or Just some value. Working with Maybe s forces developers to always consider both cases. They have no choice in the matter. They must handle the Nothing case every single time they encounter a Maybe. Doing so eliminates the many bugs that null references can spawn.

Functional programming also requires that data be immutable, meaning that once you set a variable to some value, it is forever that value. Variables are more like variables in math...

Pure functional programming solves many of our industry's biggest problems by removing dangerous features from the language, making it harder for developers to shoot themselves in the foot.... I anticipate that the adoption of pure functional languages will improve the quality and robustness of the whole software industry while greatly reducing time wasted on bugs that are simply impossible to generate with functional programming. It's not magic, but sometimes it feels like that, and I'm reminded of how good I have it every time I'm forced to work with a non-functional codebase.

This week the Adacore blog shared a story about the NVIDIA Security Team: Like many other security-oriented teams in our industry today, they were looking for a measurable answer to the increasingly hostile cybersecurity environment and started questioning their software development and verification strategies. "Testing security is pretty much impossible. It's hard to know if you're ever done," said Daniel Rohrer, VP of Software Security at NVIDIA.

In my opinion, this is the most important point of the case study — that test-oriented software verification simply doesn't work for security. Once you come out of the costly process of thoroughly testing your software, you can have a metric on the quality of the features that you provide to the users, but there's not much you can say about security.

Rohrer continues, "We wanted to emphasize provability over testing as a preferred verification method." Fortunately, it is possible to prove mathematically that your code behaves in precise accordance with its specification. This process is known as formal verification, and it is the fundamental paradigm shift that made NVIDIA investigate SPARK, the industry-ready solution for software formal verification.

Back in 2018, a Proof-of-Concept (POC) exercise was conducted. Two low-level security-sensitive applications were converted from C to SPARK in only three months. After an evaluation of the return on investment, the team concluded that even with the new technology ramp-up (training, experimentation, discovery of new tools, etc.), gains in application security and verification efficiency offered an attractive trade-off. They realized major improvements in the security robustness of both applications (See NVIDIA's Offensive Security Research D3FC0N talk for more information on the results of the evaluation).

As the results of the POC validated the initial strategy, the use of SPARK spread rapidly within NVIDIA. There are now over fifty developers trained and numerous components implemented in SPARK, and many NVIDIA products are now shipping with SPARK components.

In an press release published earlier today, the National Security Agency (NSA) says it will be making a strategic shift to memory safe programming languages. The agency is advising organizations explore such changes themselves by utilizing languages such as C#, Go, Java, Ruby, or Swift. From the report: The "Software Memory Safety" Cybersecurity Information Sheet (PDF) highlights how malicious cyber actors can exploit poor memory management issues to access sensitive information, promulgate unauthorized code execution, and cause other negative impacts. "Memory management issues have been exploited for decades and are still entirely too common today," said Neal Ziring, Cybersecurity Technical Director. "We have to consistently use memory safe languages and other protections when developing software to eliminate these weaknesses from malicious cyber actors."

Microsoft and Google have each stated that software memory safety issues are behind around 70 percent of their vulnerabilities. Poor memory management can lead to technical issues as well, such as incorrect program results, degradation of the program's performance over time, and program crashes. NSA recommends that organizations use memory safe languages when possible and bolster protection through code-hardening defenses such as compiler options, tool options, and operating system configurations. The full report is available here (PDF).

A new article from Wired calls Rust "the 'viral' secure programming language that's taking over tech."

"Rust makes it impossible to introduce some of the most common security vulnerabilities. And its adoption can't come soon enough...." [A] growing movement to write software in a language called Rust is gaining momentum because the code is goof-proof in an important way. By design, developers can't accidentally create the most common types of exploitable security vulnerabilities when they're coding in Rust, a distinction that could make a huge difference in the daily patch parade and ultimately the world's baseline cybersecurity....

[B]ecause Rust produces more secure code [than C] and, crucially, doesn't worsen performance to do it, the language has been steadily gaining adherents and now is at a turning point. Microsoft, Google, and Amazon Web Services have all been utilizing Rust since 2019, and the three companies formed the nonprofit Rust Foundation with Mozilla and Huawei in 2020 to sustain and grow the language. And after a couple of years of intensive work, the Linux kernel took its first steps last month to implement Rust support. "It's going viral as a language," says Dave Kleidermacher, vice president of engineering for Android security and privacy. "We've been investing in Rust on Android and across Google, and so many engineers are like, 'How do I start doing this? This is great'...."

By writing new software in Rust instead, even amateur programmers can be confident that they haven't introduced any memory-safety bugs into their code.... These types of vulnerabilities aren't just esoteric software bugs. Research and auditing have repeatedly found that they make up the majority of all software vulnerabilities. So while you can still make mistakes and create security flaws while programming in Rust, the opportunity to eliminate memory-safety vulnerabilities is significant....

"Yes, it's a lot of work, it will be a lot of work, but the tech industry has how many trillions of dollars, plus how many talented programmers? We have the resources," says Josh Aas, executive director of the Internet Security Research Group, which runs the memory-safety initiative Prossimo as well as the free certificate authority Let's Encrypt. "Problems that are merely a lot of work are great."
Here's how Dan Lorenc, CEO of the software supply-chain security company Chainguard, explains it to Wired. "Over the decades that people have been writing code in memory-unsafe languages, we've tried to improve and build better tooling and teach people how to not make these mistakes, but there are just limits to how much telling people to try harder can actually work.

"So you need a new technology that just makes that entire class of vulnerabilities impossible, and that's what Rust is finally bringing to the table."

"We serve about 100 million monthly visitors worldwide," says the CEO of Stack Overflow, "making us one of the most popular websites in the world. I think we are in the top 50 of all websites in the world by traffic."

In a new interview, he says the site's been accessed about 50 billion times over the past 14 years — and then shares his thoughts on the notion that programmers could be replaced by no-code, low-code, or AI-driven pair programming: A: Over the years, there have many, many tools, trying to democratize software development. That's a very positive thing. I actually love the fact that programming is becoming easier to do with these onramps. I was speaking at Salesforce recently, and they've got people in sales organizations writing workflows, and that's low code. You've got all these folks who are not software engineers that are creating their own automations and applications.

However, there is this trade-off. If you're making software easier to build, you're sacrificing things like customizability and a deeper understanding of how this code actually works. Back in the day, you might remember Microsoft FrontPage [an early HTML web page editor] as an example of that. You were limited to certain basic things, but you could get web work done. So similarly, these tools will work for general use cases. But, if they do that, without learning the fundamental principles of code, they will inevitably have some sort of a limit. For example, having to fix something that broke, I think they're going to be really dumbfounded.

Still, I think it's important, and I'm a believer. It's a great way to get people engaged, excited, and started. But you got to know what you're building. Access to sites like Stack Overflow help, but with more people learning as they're building, it's essential to make learning resources accessible at every stage of their journey....

Q: Is Stack Overflow considering any kind of certification? Particularly, as you just mentioned, since it's so easy now for people to step in and start programming. But then there's that big step from "Yes, I got it to work," but now "I have to maintain it for users using it in ways I never dreamed of."

A: "It's very much part of our vision for our company. We see Stack Overflow going from collective knowledge to collective learning. Having all the information is fine and dandy, but are you learning? Now, that we're part of Prosus's edtech division, we're very much looking forward to offering educational opportunities. Just as today, we can get knowledge to developers at the right place and time, we think we can deliver learning at just the right place and time. We believe we can make a huge impact with education and by potentially getting into the certification game.

Q: Some of the open-source nonprofits are moving into education as well. The Linux Foundation, in particular, has been moving here with the LF Training and Certification programs. Are you exploring that?

A: This is very much part of our vision....
Stack Overflow's CEO adds that the site's hot topics now include blockchain, machine learning, but especially technical cloud questions, "rising probably about 50% year over year over the past 10 years.... Related to this is an increase in interest in containerization and cloud-native services."

The newest stable version of Rust, 1.65.0 includes generic associated types (GATs) — the ability to declare lifetime, type, and const generics on associated types. "It's hard to put into few words just how useful these can be," writes the official Rust blog.

An earlier post pointed out that "There have been a good amount of changes that have had to have been made to the compiler to get GATs to work," noting that the request-for-comments for this feature was first opened in 2016.

And Rust's types team also created a blog post with more detail: Note that this is really just rounding out the places where you can put generics: for example, you can already have generics on freestanding type aliases and on functions in traits. Now you can just have generics on type aliases in traits (which we just call associated types)....

In general, GATs provide a foundational basis for a vast range of patterns and APIs. If you really want to get a feel for how many projects have been blocked on GATs being stable, go scroll through either the tracking issue: you will find numerous issues from other projects linking to those threads over the years saying something along the lines of "we want the API to look like X, but for that we need GATs" (or see this comment that has some of these put together already). If you're interested in how GATs enable a library to do zero-copy parsing, resulting in nearly a ten-fold performance increase, you might be interested in checking out a blog post on it by Niko Matsakis.

All in all, even if you won't need to use GATs directly, it's very possible that the libraries you use will use GATs either internally or publically for ergonomics, performance, or just because that's the only way the implementation works.... [A]ll the various people involved in getting this stabilization to happen deserve the utmost thanks. As said before, it's been 6.5 years coming and it couldn't have happened without everyone's support and dedication.
Rust 1.65.0 also contains let-else statements — a new kind of let statement "with a refutable pattern and a diverging else block that executes when that pattern doesn't match," according to the release announcement.

And it highlights another new feature: Plain block expressions can now be labeled as a break target, terminating that block early. This may sound a little like a goto statement, but it's not an arbitrary jump, only from within a block to its end. This was already possible with loop blocks, and you may have seen people write loops that always execute only once, just to get a labeled break.

Now there's a language feature specifically for that! Labeled break may also include an expression value, just as with loops, letting a multi-statement block have an early "return" value.

"Microsoft's GitHub Copilot is being sued in a class action lawsuit that claims the AI product is committing software piracy on an unprecedented scale," reports IT Pro.

Programmer/designer Matthew Butterick filed the case Thursday in San Francisco, saying it was on behalf of millions of GitHub users potentially affected by the $10-a-month Copilot service: The lawsuit seeks to challenge the legality of GitHub Copilot, as well as OpenAI Codex which powers the AI tool, and has been filed against GitHub, its owner Microsoft, and OpenAI.... "By training their AI systems on public GitHub repositories (though based on their public statements, possibly much more), we contend that the defendants have violated the legal rights of a vast number of creators who posted code or other work under certain open-source licences on GitHub," said Butterick.

These licences include a set of 11 popular open source licences that all require attribution of the author's name and copyright. This includes the MIT licence, the GNU General Public Licence, and the Apache licence. The case claimed that Copilot violates and removes these licences offered by thousands, possibly millions, of software developers, and is therefore committing software piracy on an unprecedented scale.

Copilot, which is entirely run on Microsoft Azure, often simply reproduces code that can be traced back to open-source repositories or licensees, according to the lawsuit. The code never contains attributions to the underlying authors, which is in violation of the licences. "It is not fair, permitted, or justified. On the contrary, Copilot's goal is to replace a huge swath of open source by taking it and keeping it inside a GitHub-controlled paywall...." Moreover, the case stated that the defendants have also violated GitHub's own terms of service and privacy policies, the DMCA code 1202 which forbids the removal of copyright-management information, and the California Consumer Privacy Act.
The lawsuit also accuses GitHub of monetizing code from open source programmers, "despite GitHub's pledge never to do so."

And Butterick argued to IT Pro that "AI systems are not exempt from the law... If companies like Microsoft, GitHub, and OpenAI choose to disregard the law, they should not expect that we the public will sit still." Butterick believes AI can only elevate humanity if it's "fair and ethical for everyone. If it's not... it will just become another way for the privileged few to profit from the work of the many."

Reached for comment, GitHub pointed IT Pro to their announcement Monday that next year, suggested code fragments will come with the ability to identify when it matches other publicly-available code — or code that it's similar to.

The article adds that this lawsuit "comes at a time when Microsoft is looking at developing Copilot technology for use in similar programmes for other job categories, like office work, cyber security, or video game design, according to a Bloomberg report."

It's been one week since Python 3.11 was released — and it's "faster than ever!" So says Jay Miller, a Microsoft developer writing about Microsoft's six-person "Faster CPython" team (which includes Python creator Guido van Rossum, and offers assistance to other core developers). Miller cites the team's report that Python 3.11 has already seen speedups of 10-60% in some areas of the language -- and offers this inside look at their work.

First, how the team came together: In 2020, Core Developer Mark Shannon drafted an Implementation plan for speeding up CPython (the most common implementation) by five times. This plan proposed a 4-stage process that, as Python's creator Guido van Rossum says, "was an effort that was too much for one volunteer to accomplish".

"Right from the start, my thought was well, we should try to see if Microsoft can hire Mark and a small team of people to support him." In the previous year Van Rossum came out of retirement and joined Microsoft as a Distinguished Engineer. "It was an important effort and it was too much for one person." Microsoft was open to the idea and a team of 6 engineers, including Van Rossum were established. That team has assisted other core developers in acting on this plan.
But the blog post also looks at how the team functions: Every contributor that made the switch from part-time to full-time contribution mentioned being able to get deeper into their work on the language.... The team meets regularly to discuss these things. "All six of us meet every Monday," says Van Rossum. "There's always more than enough to talk about. That is very different than as a core dev community getting together for a Sprint twice a year, like one day after the conference. That is a very special event, of course, but it doesn't feed me throughout the year." Van Rossum believes that knowledge of one another and their collaborative work gave the team a "leg up" because everyone "knows what communication styles people have and what everybody's weaknesses and strengths are...."

Shannon's original 4 stage plan has continued to evolve to have continuous optimizations for the next several years. "To make that as smooth as possible, you have to think in terms of smaller steps, right?" says [team member] Michael Droettboom. Droettboom has worked on long-term projects in the scientific community including the Hubble Space Telescope and more recently the James Web Space Telescope.... "We hope we can bring some knowledge from really large proprietary systems into what we develop for the Community." says Droettboom. "I think that's really valuable because then you're not just doing it in the abstract. Not just imagining what's going to make Python faster for real use cases, but actually measuring it." [Team member] Brandt Bucher adds in that developers working with these teams can test the impact of changes, "getting useful insights and contributions from people who maintain large, diverse codebases...." Many of the team's meetings feature core developers from other teams and companies.
The blog post highlights specific activities of team members:

• L Pereira is working on a change to how integers are represented inside Python, and "intends to change smaller integers to use native computation instead of the slower algorithms for arbitrarily large numbers."

• Irit Katriel implemented the new Exception groups and except* features in Python 3.11, and reports that "By simplifying the interpreter's internal representation of raised exceptions, I reduced the time it takes to raise and catch an exception by about 10%."

• Brandt Bucher (who helped create structural pattern matching for Python 3.10) is working on a Specialized Adaptive Interpreter (and tools like Specialist to help users move to Python).

• Long-time contributor Eric Snow is working on a per-interpreter Global Interpreter Lock.

And they've already begun working on features for future versions of Python. "You can also find out more about what the Faster CPython Team has in mind for 3.12 in their ideas repo on Github."

Developer Dan Leveille received "a sketchy voicemail from a random number about a class action lawsuit settlement..." he posted on Twitter. "I thought it was a scam and almost ignored it."

But he didn't — and ended up with $8,064.88 in his Venmo account.

Back in 2019 a lawsuit by U.S. developers accused Apple of "profit-killing" App Store commissions, reports TechForge Media. Apple settled that suit by agreeing to create a $100 million Small Developer Assistance Fund (for developers who sold in Apple's app store between June of 2015 and April of 2021). And this month Apple has finally started sending out those payments, Apple Insider reports: Developers had until May 20 to submit a request to an independent administrator to become a "Settlement Class Member." If they met the criteria, the developers stood to receive a payment from $250 to $30,000 in value....

Along with the fund, the settlement also introduced a number of changes to App Store policies, including modifications relating to customer and developer communication, new pricing tiers, and a promise by Apple to continue offering its 15% reduced App Store commission for at least three years.