The iPhone's app ecosystem is about to go through its biggest shake-up since the App Store launched in 2008. Today, Apple announced how it plans to change the rules for developers releasing iOS software in the European Union in response to the bloc's Digital Markets Act (DMA) coming into force in March. The big news is that third-party app stores will be allowed on iOS for the first time, breaking the Apple App Store's position as the sole distributor of iPhone apps. The changes will arrive with iOS 17.4 in March. From a report: Here's how the new "alternative app marketplaces," as Apple called them, will work. Users in the EU and on iOS 17.4 will be able to download a marketplace from that marketplace's website. In order to be used on an iPhone, those marketplaces have to go through Apple's approval process, and once you download one, you have to explicitly give it permission to download apps to your device. But once the marketplace is approved and on your device, you can download anything you want -- including apps that violate App Store guidelines. You can even set a non-App Store marketplace as the default on your device.

Developers, meanwhile, can choose whether to use Apple's payment services and in-app purchases or integrate a third-party system for payments without paying an additional fee to Apple. If the developer wants to stick with Apple's existing in-app payment system, there's an additional 3 percent processing fee. Apple still plans to keep a close eye on the app distribution process. All apps must be "notarized" by Apple, and distribution through third-party marketplaces is still managed by Apple's systems. Developers will only be allowed to distribute a single version of their app across different app stores, and they'll still have to abide by some basic platform requirements, like getting scanned for malware. Apple says that anyone looking to develop an alternative app marketplace will have to provide evidence that it can financially "guarantee support for developers and customers." Apple wants "a stand-by letter of credit from an A-rated (or equivalent by S&P, Fitch, or Moody's) financial Institution of 1 million Euro prior to receiving the entitlement. It will need to be auto-renewed on a yearly basis."

The cybersecurity site SC Media reports that NPM registry users "download deprecated packages an estimated 2.1 billion times weekly, according to a statistical analysis of the top 50,000 most-downloaded packages in the registry." Deprecated, archived and "orphaned" NPM packages can contain unpatched and/or unreported vulnerabilities that pose a risk to the projects that depend on them, warned the researchers from Aqua Security's Team Nautilus, who published their findings in a blog post on Sunday... In conjunction with their research, Aqua Nautilus has released an open-source tool that can help developers identify deprecated dependencies in their projects.

Open-source software may stop receiving updates for a variety of reasons, and it is up to developers/maintainers to communicate this maintenance status to users. As the researchers pointed out, not all developers are transparent about potential risks to users who download or depend on their outdated NPM packages. Aqua Nautilus researchers kicked off their analysis after finding that one open-source software maintainer responded to a report about a vulnerability Nautilus discovered by archiving the vulnerable repository the same day. By archiving the repository without fixing the security flaw or assigning it a CVE, the owner leaves developers of dependent projects in the dark about the risks, the researchers said...

Taking into consideration both deprecated packages and active packages that have a direct dependency on deprecated projects, the researchers found about 4,100 (8.2%) of the top 50,000 most-downloaded NPM packages fell under the category of "official" deprecation. However, adding archived repositories to the definition of "deprecated" increased the number of packages affected by deprecation and deprecated dependencies to 6,400 (12.8%)... Including packages with linked repositories that are shown as unavailable (404 error) on GitHub increases the deprecation rate to 15% (7,500 packages), according to the Nautilus analysis. Encompassing packages without any linked repository brings the final number of deprecated packages to 10,600, or 21.2% of the top 50,000. Team Nautilus estimated that under this broader understanding of package deprecation, about 2.1 billion downloads of deprecated packages are made on the NPM registry weekly.

"A Canonical engineer has been experimenting with implementing a Linux scheduler within the Rust programming language..." Phoronix reported Monday, "that works via sched_ext for implementing a scheduler using eBPF that can be loaded during run-time."

The project was started "just for fun" over Christmas, according to a post on X by Canonical-based Linux kernel engineer Andrea Righi, adding "I'm pretty shocked to see that it doesn't just work, but it can even outperform the default Linux scheduler (EEVDF) with certain workloads (i.e., gaming)." Phoronix notes the a YouTube video accompanying the tweet shows "a game with the scx_rustland scheduler outperforming the default Linux kernel scheduler while running a parallel kernel build in the background."

"For sure the build takes longer," Righi acknowledged in a later post. "This scheduler doesn't magically makes everything run faster, it simply prioritizes more the interactive workloads vs CPU-intensive background jobs." Righi followed up by adding "And the whole point of this demo was to prove that, despite the overhead of running a scheduler in user-space, we can still achieve interesting performance, while having the advantages of being in user-space (ease of experimentation/testing, reboot-less updates, etc.)"

Wednesday Righi added some improvements, posting that "Only 19 lines of code (comments included) for ~2x performance improvement on SMT isn't bad... and I spent my lunch break playing Counter Strike 2 to test this patch..."

And work seems to be continuing, judging by a fresh post from Righi on Thursday. "I fixed virtme-ng to run inside Docker and used it to create a github CI workflow for sched-ext that clones the latest kernel, builds it and runs multiple VMs to test all the scx schedulers. And it does that in only ~20min. I'm pretty happy about virtme-ng now."

Apple has announced changes to its U.S. App Store, allowing developers to link to alternative payment methods, "provided that the app also offer purchases through Apple's own In-App Purchase system," reports 9to5Mac. The change comes in light of the Supreme Court declining to hear Apple's appeal in its legal battle with Epic Games. From the report: The guideline says that developers can apply for an entitlement that allows them to include buttons or links directing users to out-of-app purchasing mechanisms: "Developers may apply for an entitlement to provide a link in their app to a website the developer owns or maintains responsibility for in order to purchase such items. Learn more about the entitlement. In accordance with the entitlement agreement, the link may inform users about where and how to purchase those in-app purchase items, and the fact that such items may be available for a comparatively lower price. The entitlement is limited to use only in the iOS or iPadOS App Store on the United States storefront. In all other storefronts, apps and their metadata may not include buttons, external links, or other calls to action that direct customers to purchasing mechanisms other than in-app purchase."

According to Apple, the link to an alternative payment platform can only be displayed on "one app page the end user navigates to (not an interstitial, modal, or pop-up), in a single, dedicated location on such page, and may not persist beyond that page." Apple has provided templates that developers can use for communicating with customers about alternative in-app payment systems [...]. Apple has also confirmed that it will charge a commission on purchases made through alternative payment platforms. This commission will be 12% for developers who are a member of the App Store Small Business Program and 27% for other apps. The commission will apply to "purchases made within seven days after a user taps on an External Purchase Link and continues from the system disclosure sheet to an external website." Apple says developers will be required to provide accounting of qualifying out-of-app purchases and remit the appropriate commissions. [...] However, Apple also says that collecting this commission will be "exceedingly difficult and, in many cases, impossible." [...]

The other anti-steering change that Apple is required to make is to allow developers to communicate with customers outside of their apps about alternative purchasing options, such as via email. Apple made this change in 2021 as part of its settlement of a class-action lawsuit brought on by small developers.

Last April the Python Software Foundation warned that Europe's proposed Cyber Resilience Act jeopardized their organization and "the health of the open-source software community" with overly broad policies that "will unintentionally harm the users they are intended to protect."

They'd worried that the Python Software Foundation could incur financial liabilities just for hosting Python and its PyPI package repository due to the proposed law's attempts to penalize cybersecurity lapses all the way upstream. But a new blog post this week cites some improvements: We asked for increased clarity, specifically:

"Language that specifically exempts public software repositories that are offered as a public good for the purpose of facilitating collaboration would make things much clearer. We'd also like to see our community, especially the hobbyists, individuals and other under-resourced entities who host packages on free public repositories like PyPI be exempt."


The good news is that CRA text changed a lot between the time the open source community — including the PSF — started expressing our concerns and the Act's final text which was cemented on December 1st. That text introduces the idea of an "open source steward."

"'open-source software steward' means any legal person, other than a manufacturer, which has the purpose or objective to systematically provide support on a sustained basis for the development of specific products with digital elements qualifying as free and open-source software that are intended for commercial activities, and ensures the viability of those products;" (p. 76)


[...] So are we totally done paying attention to European legislation? Ah, while it would be nice for the Python community to be able to cross a few things off our to-do list, that's not quite how it works. Firstly, the concept of an "open source steward" is a brand new idea in European law. So, we will be monitoring the conversation as this new concept is implemented or interacts with other bits of European law to make sure that the understanding continues to reflect the intent and the realities of open source development. Secondly, there are some other pieces of legislation in the works that may also impact the Python ecosystem so we will be watching the Product Liability Directive and keeping up with the discussion around standard-essential patents to make sure that the effects on Python and open source development are intentional (and hopefully benevolent, or at least benign.)

serviscope_minor shares a Phoronix post: A six year old Linux kernel mailing list discussion has been reignited over the prospects of converting the Linux kernel to supporting modern C++ code. The Linux kernel is predominantly made up of C code with various hand-written Assembly plus the growing work around supporting Rust within the Linux kernel. While it's not clear yet if there's sufficient weight to make it a reality, a Linux kernel mailing list discussion has been restarted over potentially seeing the Linux kernel C code converted to C++ in the future.

Back on 1 April 2018 was a set of 45 patches by Red Hat engineer David Howells to begin converting the kernel to C++. This would allow the mainline kernel to make use of inline template functions, inline overloaded functions, class inheritance, and other features not currently supported by the Linux kernel with its C code. A bit hard to make serious discussions that day and ultimately the patches resided on the Linux kernel mailing list for six years without much discussion. serviscope_minor adds: It is notable that the current discussion is somewhat different from the infamous discussions in the past.

Brave has introduced CodeLLM, an AI-powered tool integrated into its search engine that offers results for programming queries. TechCrunch reports: The new AI-powered CodeLLM provides code snippets with step-by-step explanations and citations. CodeLLM is free and now integrated into Brave Search so users don't have to switch apps to access it. CodeLLM is available to all Brave Search users on desktop and mobile. If Brave Search is your default search engine then all you need to do to access CodeLLM is start a search in your browser's address bar. If Brave Search isn't your default search engine, then you need to head to search.brave.com to conduct your search. "CodeLLM automatically detects programming-related queries, so there's no need to generate a special search," Brave explained in the blog post. "On top of the search results, if an answer is possible there will be a widget to trigger the CodeLLM response. The detection of programming queries happens outside of the LLM, by other search components (similar to the ones able to detect queries about the weather, queries that lend themselves well to be summarized, queries about stock prices, etc)."

An anonymous reader shared this report from The Hacker News: Three new malicious packages have been discovered in the Python Package Index (PyPI) open-source repository with capabilities to deploy a cryptocurrency miner on affected Linux devices.

The three harmful packages, named modularseven, driftme, and catme, attracted a total of 431 downloads over the past month before they were taken down...

The malicious code resides in the __init__.py file, which decodes and retrieves the first stage from a remote server, a shell script ("unmi.sh") that fetches a configuration file for the mining activity as well as the CoinMiner file hosted on GitLab. The ELF binary file is then executed in the background using the nohup command, thus ensuring that the process continues to run even after exiting the session. "Echoing the approach of the earlier 'culturestreak' package, these packages conceal their payload, effectively reducing the detectability of their malicious code by hosting it on a remote URL," said Fortinet FortiGuard Labs researcher Gabby Xiong. "The payload is then incrementally released in various stages to execute its malicious activities."

The University of Massachusetts Amherst has an announcement. A team of computer scientists "recently announced a new method for automatically generating whole proofs that can be used to prevent software bugs and verify that the underlying code is correct." It leverages the AI power of Large Language Models, and the new method, called Baldur, "yields unprecedented efficacy of nearly 66%."

The idea behind the machine-checking technique was "to generate a mathematical proof showing that the code does what it is expected to do," according to the announcement, "and then use a theorem prover to make sure that the proof is also correct. But manually writing these proofs is incredibly time-consuming and requires extensive expertise. "These proofs can be many times longer than the software code itself," says Emily First, the paper's lead author who completed this research as part of her doctoral dissertation at UMass Amherst... First, whose team performed its work at Google, used Minerva, an LLM trained on a large corpus of natural-language text, and then fine-tuned it on 118GB of mathematical scientific papers and webpages containing mathematical expressions. Next, she further fine-tuned the LLM on a language, called Isabelle/HOL, in which the mathematical proofs are written. Baldur then generated an entire proof and worked in tandem with the theorem prover to check its work. When the theorem prover caught an error, it fed the proof, as well as information about the error, back into the LLM, so that it can learn from its mistake and generate a new and hopefully error-free proof.

This process yields a remarkable increase in accuracy. The state-of-the-art tool for automatically generating proofs is called Thor, which can generate proofs 57% of the time. When Baldur (Thor's brother, according to Norse mythology) is paired with Thor, the two can generate proofs 65.7% of the time. Though there is still a large degree of error, Baldur is by far the most effective and efficient way yet devised to verify software correctness, and as the capabilities of AI are increasingly extended and refined, so should Baldur's effectiveness grow.

In addition to First and Brun, the team includes Markus Rabe, who was employed by Google at the time, and Talia Ringer, an assistant professor at the University of Illinois — Urbana Champaign. This work was performed at Google and supported by the Defense Advanced Research Projects Agency and the National Science Foundation.

Generative AI models like Google Bard and GitHub Copilot are increasingly being used in various industries, but users often overlook their limitations, leading to serious errors and inefficiencies. Daniel Stenberg of curl and libcurl highlights a specific problem of AI-generated security reports: when reports are made to look better and to appear to have a point, it takes a longer time to research and eventually discard it. "Every security report has to have a human spend time to look at it and assess what it means," adds Stenberg. "The better the crap, the longer time and the more energy we have to spend on the report until we close it." The Register reports: The curl project offers a bug bounty to security researchers who find and report legitimate vulnerabilities. According to Stenberg, the program has paid out over $70,000 in rewards to date. Of 415 vulnerability reports received, 64 have been confirmed as security flaws and 77 have been deemed informative -- bugs without obvious security implications. So about 66 percent of the reports have been invalid. The issue for Stenberg is that these reports still need to be investigated and that takes developer time. And while those submitting bug reports have begun using AI tools to accelerate the process of finding supposed bugs and writing up reports, those reviewing bug reports still rely on human review. The result of this asymmetry is more plausible-sounding reports, because chatbot models can produce detailed, readable text without regard to accuracy.

As Stenberg puts it, AI produces better crap. "A crap report does not help the project at all. It instead takes away developer time and energy from something productive. Partly because security work is considered one of the most important areas so it tends to trump almost everything else." As examples, he cites two reports submitted to HackerOne, a vulnerability reporting community. One claimed to describe Curl CVE-2023-38545 prior to actual disclosure. But Stenberg had to post to the forum to make clear that the bug report was bogus. He said that the report, produced with the help of Google Bard, "reeks of typical AI style hallucinations: it mixes and matches facts and details from old security issues, creating and making up something new that has no connection with reality." [...]

Stenberg readily acknowledges that AI assistance can be genuinely helpful. But he argues that having a human in the loop makes the use and outcome of AI tools much better. Even so, he expects the ease and utility of these tools, coupled with the financial incentive of bug bounties, will lead to more shoddy LLM-generated security reports, to the detriment of those on the receiving end.

New submitter axlash writes: It has been reported on X that Niklaus Wirth, inventor and co-inventor of several languages including Pascal, Euler and Oberon, died on Jan 1, 2024. He was aged 89. "We lost a titan of programming languages, programming methodology, software engineering and hardware design," writes software engineer Bertrand Meyer in a post on X. "Niklaus Wirth passed away on the first of January. We mourn a pioneer, colleague, mentor and friend."

Niklaus Wirth, born on February 15, 1934, in Switzerland, is a renowned computer scientist known for his significant contributions to the field of computer science and software engineering. He is best known for developing several programming languages, including ALGOL W, Pascal, and Modula-2, which have had a profound impact on the design and development of modern computer software. Wirth's work emphasized simplicity, clarity, and efficiency in programming languages, which greatly influenced subsequent language design and the development of structured programming techniques. His legacy also includes the development of the Oberon programming language and the design of the Oberon operating system. Wirth's dedication to elegant and efficient software design continues to inspire computer scientists and software engineers worldwide, making him a highly respected figure in the history of computing.

You can learn more about Wirth via A.M. Turing Award, Britannica, and the Computer History Museum.

On December 15 GitHub declared end-of-life for its "hackable text editor" Atom. But Long-time Slashdot reader BrendaEM wants to remind everyone that after the announcement of Atom's sunset, "the community came together to keep Atom alive."

First there was the longstanding fork Atom-Community. But "due to differences in long-term goals for the editor, a new version was born: Pulsar."

From the Pulsar web site: Pulsar [sometimes referred to as Pulsar-Edit] aims to not only reach feature parity with the original Atom, but to bring Pulsar into the 21st century by updating the underlying architecture, and supporting modern features.

With many new features on the roadmap, once Pulsar is stable, it will be a true, Community-Based, Hackable, Text Editor.
"Of course, the user interface is much of the same," writes the blog Its FOSS, and it's cross-platform (supporting Linux, macOS, and Windows).

"The essentials seem to be there with the documentation, packages, and features like the ability to install packages from Git repositories..."

theodp writes: Back in May 2021, tech-backed nonprofit Code.org touted the signing of a licensing agreement with WhiteHat Jr., allowing the edtech company with a controversial past (Whitehat Jr. was bought for $300M in 2020 by Byju's, an edtech firm that received a $50M investment from Mark Zuckerberg's venture firm) to integrate Code.org's free-to-educators-and-organizations content and tools into their online tutoring service. Code.org did not reveal what it was charging Byju's to use its "free curriculum and open source technology" for commercial purposes, but Code.org's 2021 IRS 990 filing reported $1M in royalties from an unspecified source after earlier years reported $0. Coincidentally, Whitehat Jr. is represented by Aaron Kornblum, who once worked at Microsoft for now-President Brad Smith, who left Code.org's Board just before the lawsuit was filed.

Fast forward to 2023 and the bloom is off the rose, as Court records show that Code.org earlier this month sued Whitehat Education Technology, LLC (Exhibits A and B) in what is called "a civil action for breach of contract arising from Whitehat's failure to pay Code.org the agreed-upon charges for its use of Code.org's platform and licensed content and its ongoing, unauthorized use of that platform and content." According to the filing, "Whitehat agreed [in April 2022] to pay to Code.org licensing fees totaling $4,000,000 pursuant to a four-year schedule" and "made its first four scheduled payments, totaling $1,000,000," but "about a year after the Agreement was signed, Whitehat informed Code.org that it would be unable to make the remaining scheduled license payments." While the original agreement was amended to backload Whitehat's license fee payment obligations, "Whitehat has not paid anything at all beyond the $1,000,000 that it paid pursuant to the 2022 invoices before the Agreement was amended" and "has continued to access Code.org's platform and content."

That Byju's Whitehat Jr. stiffed Code.org is hardly shocking. In June 2023, Reuters reported that Byju's auditor Deloitte cut ties with the troubled Indian Edtech startup that was once an investor darling and valued at $22 billion, adding that a Byju's Board member representing the Chan-Zuckerberg Initiative had resigned with two other Board members. The BBC reported in July that Byju's was guilty of overexpanding during the pandemic (not unlike Zuck's Facebook). Ironically, the lawsuit Exhibits include screenshots showing Mark Zuckerberg teaching Code.org lessons. Zuckerberg and Facebook were once among the biggest backers of Code.org, although it's unclear whether that relationship soured after court documents were released that revealed Code.org's co-founders talking smack about Zuck and Facebook's business practices to lawyers for Six4Three, which was suing Facebook.

Code.org's curriculum is also used by the Amazon Future Engineer (AFE) initiative, but it is unclear what royalties -- if any -- Amazon pays to Code.org for the use of Code.org curriculum. While the AFE site boldly says, "we provide free computer science curriculum," the AFE fine print further explains that "our partners at Code.org and ProjectSTEM offer a wide array of introductory and advance curriculum options and teacher training." It's unclear what kind of organization Amazon's AFE ("Computer Science Learning Childhood to Career") exactly is -- an IRS Tax Exempt Organization Search failed to find any hits for "Amazon Future Engineer" -- making it hard to guess whether Code.org might consider AFE's use of Code.org software 'commercial use.' Would providing a California school district with free K-12 CS curriculum that Amazon boasts of cultivating into its "vocal champion" count as "commercial use"? How about providing free K-12 CS curriculum to children who live where Amazon is seeking incentives? Or if Amazon CEO Jeff Bezos testifies Amazon "funds computer science coursework" for schools as he attempts to counter a Congressional antitrust inquiry? These seem to be some of the kinds of distinctions Richard Stallman anticipated more than a decade ago as he argued against a restriction against commercial use of otherwise free software.

Programmer and writer Jose Gilgado, writes about WordStar 4.0, a popular word processor from the early 80s that continues to work reliably well. Famously author George R.R. Martin used the application to write "A Song of Ice and Fire." "It does everything I want a word processing program to do and it doesn't do anything else. I don't want any help. I hate some of these modern systems where you type up a lowercase letter and it becomes a capital. I don't want a capital, if I'd wanted a capital, I would have typed the capital," R.R. Martin said earlier, as we previously covered.

Gilgado argues that WordStar 4.0 embodies the concept of finished software -- a software you can use forever with no unneeded changes. He adds: Sometimes, a software upgrade is a step backward: less usable, less stable, with new bugs. Even if it's genuinely better, there's the learning curve. You were efficient with the old version, but now your most used button is on the other side of the screen under a hidden menu. In a world where constant change is the norm, finished software provides a breath of fresh air. It's a reminder that reliability, consistency, and user satisfaction can coexist in the realm of software development. So the next time you find yourself yearning for the latest update, remember that sometimes, the best software is the one that doesn't change at all.

A Canadian cybersecurity firm has warned that as soon as 2025, quantum computers could make current encryption methods useless.

But now Slashdot reader christoban shares a "reality check" — an IEEE Spectrum takedown with the tagline "Hype is everywhere, skeptics say, and practical applications are still far away." The quantum computer revolution may be further off and more limited than many have been led to believe. That's the message coming from a small but vocal set of prominent skeptics in and around the emerging quantum computing industry... [T]here's growing pushback against what many see as unrealistic expectations for the technology. Meta's head of AI research Yann LeCun recently made headlines after pouring cold water on the prospect of quantum computers making a meaningful contribution in the near future.

Speaking at a media event celebrating the 10-year anniversary of Meta's Fundamental AI Research team he said the technology is "a fascinating scientific topic," but that he was less convinced of "the possibility of actually fabricating quantum computers that are actually useful." While LeCun is not an expert in quantum computing, leading figures in the field are also sounding a note of caution. Oskar Painter, head of quantum hardware for Amazon Web Services, says there is a "tremendous amount of hype" in the industry at the minute and "it can be difficult to filter the optimistic from the completely unrealistic."

A fundamental challenge for today's quantum computers is that they are very prone to errors. Some have suggested that these so-called "noisy intermediate-scale quantum" (NISQ) processors could still be put to useful work. But Painter says there's growing recognition that this is unlikely and quantum error-correction schemes will be key to achieving practical quantum computers. The leading proposal involves spreading information over many physical qubits to create "logical qubits" that are more robust, but this could require as many as 1,000 physical qubits for each logical one. Some have suggested that quantum error correction could even be fundamentally impossible, though that is not a mainstream view. Either way, realizing these schemes at the scale and speeds required remains a distant goal, Painter says... "I would estimate at least a decade out," he says.
A Microsoft technical fellow believes there's fewer applications where quantum computers can really provide a meaningful advantage, since operating a qubit its magnitudes slower than simply flipping a transistor, which also makes the throughput rate for data thousands or even millions of times slowers.

"We found out over the last 10 years that many things that people have proposed don't work," he says. "And then we found some very simple reasons for that."

"It's like visiting an old friend for the holidays," according to this article: Approaching his 86th birthday, Donald Knuth — Stanford's beloved computer science guru — honored what's become a long-standing tradition. He gave a December "Christmas lecture" that's also streamed online for all of his fans...

More than 60 years ago, back in 1962, a 24-year-old Donald Knuth first started writing The Art of Computer Programming — a comprehensive analysis of algorithms which, here in 2023, he's still trying to finish. And 30 years ago Knuth also began making rare live appearances each December in front of audiences of Stanford students...

Recently Stanford uploaded several decades of Knuth's past Christmas lectures, along with a series of 22 videos of Knuth from 1985 titled "the 'Aha' Sessions'" (courses in mathematical problem-solving). There are also two different sets of five videos from 1981 showing Knuth introducing his newly-created typesetting system TeX. There are even 12 videos from 1982 of what Knuth calls "an intensive course about the internal details."

And on Dec. 6, wearing his traditional brown holiday sweater, Knuth gave yet another live demonstration of the beautifully clear precision that's made him famous.

It's a geek tradition that started online back in 2000. Programming language "advent calendars" offer daily tips about a programming language (if not a Christmas-themed programming puzzle) -- one a day through December 25th.

And 2023 finds a wide variety of fun sites to choose from:

• li>For example, there's 24 coding challenges at the Advent of JavaScript site (where "each challenge includes all the HTML and CSS you need to get started, allowing you to focus on the JavaScript.") And there's another 24 coding challenges on a related site... Advent of CSS.

• The cyber security training platform "TryHackMe.com" even coded up a site they call "Advent of Cyber," daring puzzle-solvers to "kickstart your cyber security career by engaging in a new, beginner-friendly exercise every day leading up to Christmas!"

• The programming puzzles at Advent of Code are continuing through the 25th (though so far less than 30,000 people have solved both parts of Saturday's challenge.)

• Every year since 2000 there's also been a new edition of the Perl Advent Calendar, and this month Year 23 started off with goodies from Perl's massive module repository, CPAN. (Specifically its elf-themed story references the Music::MelodicDevice::Ornamentation module) -- along with the MIDI::Util library and TiMidity++, a software synthesizer that can play MIDI files without a hardware synthesizer.)

• Meanwhile, since 2009 there's also been an advent calendar for Raku (the programming language formerly known as Perl 6), promising an article a day. (Day One's entry was titled "Rocking Raku Meets Stodgy Debian...")

• James Bennett, from the Django project's core team, is even attempting a Python/Django Advent calendar.

• There's also a JVM advent calendar for the Java Virtual Machine, plus another advent calendar promising daily posts about C#.

• The HTMHell site â" which bills itself as "a collection of bad practices in HTML, copied from real websites" -- is celebrating the season with the "HTMHell Advent Calendar," promising daily articles on security, accessibility, UX, and performance.

He specified the JSON notation, and developed tools like JSLint and the minifier JSMin. His Wikipedia entry says he was also a senior JavaScript architect at PayPal — but he's probably better known for writing O'Reilly's book JavaScript: the Good Parts.

But Doug Crockford has a new challenge. O'Reilly's monthly tech newsletter says Crockford "has created a new programming language called Misty. It is designed to be used both by students and professional programmers."

The language's official site calls it "a dynamic, general-purpose, transitional, actor language. It has a gentle syntax that is intended to benefit students, as well as advanced features such as capability security and lambdas with lexical scoping..." The language is quite strict in its use of spaces and indentation. In most programming languages, code spacing and formatting are underspecified, which leads to many incompatible conventions of style, some promoting bug formation, and all promoting time-wasting arguments, incompatibilities, and hurt feelings. Misty instead allows only one convention which is strictly enforced. This liberates programmers to focus their attention on more important matters.

Indentation is in increments of 4 spaces. The McKeeman Form is extended by three special rules to make this possible:


indentation
The spaces required by the current nesting.

increase_indentation
Append four spaces to the indentation.

decrease_indentation
Remove four spaces from the indentation.


The indentation is the number of spaces required at the beginning of a line as determined by its nesting level.


indent
increase_indentation linebreak

outdent
decrease_indentation linebreak


The linebreak rule allows the insertion of a comment, ends the line, and checks the indentation of the next line. Multiple comments and blank lines may appear wherever a line can end.

Long-time Slashdot reader destinyland writes: It's a question that comes up all the time on Reddit. Etsy even created a special page for programmer-themed gift suggestions (showing more than 5,000 results). While CNET sticks to broader lists of "tech gifts" — and a separate list for "Star Wars gifts" — other sites around the web have been specifically honing in on programmer-specific suggestions. (Blue light-blocking glasses... A giant rubber duck... The world's strongest coffee... A printer that transfers digital images onto cheese...)

So while in years past Amazon has said they laughed at customer reviews for cans of uranium, this year Amazon has now added a special section that's entirely dedicated to Gifts for Computer Programmers, according to this funny rundown of 2023's "Gifts for Programmers" (that ends up recommending ChatGPT gift cards and backyard office sheds):
From the article: [Amazon's Gifts for Programmers section] shows over 3,000 results, with geek-friendly subcategories like "Glassware & Drinkware" and "Novelty Clothing"... For the coder in your life, Amazon offers everything from brain–teasing programming puzzles to computer–themed jigsaw puzzles. Of course, there's also a wide selection of obligatory funny t–shirts... But this year there's also tech-themed ties and motherboard-patterned socks...

Some programmers, though, might prefer a gift that's both fun and educational. And what's more entertaining than using your Python skills to program a toy robot dog...? But if you're shopping for someone who's more of a cat person, Petoi sells a kit for building a programmable (and open source) cat robot named "Nybble". The sophisticated Arduino-powered feline can be programmed with Python and C++ (as well as block-based coding)... [part of] the new community that's building around "OpenCat", the company's own quadruped robotic pet framework (open sourced on GitHub).

Government researchers in the U.S. are studying methods to help identify hackers based on the code they use to carry out cyberattacks. From a report: The Intelligence Advanced Research Projects Activity, the lead federal research agency for the intelligence community, plans to develop technologies that could speed up investigations for identifying perpetrators of cyberattacks. "The number of attacks is increasing far more than the number of forensic experts that are available to go after these attacks," said Kristopher Reese, who is managing the research program at IARPA and holds a doctorate in computer science and engineering. The lack of forensic resources means hackers who target small organizations or companies that don't fall under critical infrastructure sectors often escape identification, he said.

Tools that are developed as part of the planned 30-month research project won't replace human analysts, who are crucial for identifying social and political dynamics that might explain why a particular hacking group targeted a victim, Reese said. But using artificial intelligence to analyze code used in cyberattacks will make investigations more efficient, he said. IARPA is accepting pitches from researchers until next month and plans to begin research next summer. [...] There hasn't been enough research into how analyzing code can reveal a hacker's identity, Reese said. Behavioral traits evident in code can reveal specific countries where hackers might be from or even the university where they were trained, he said. Some companies also have style guides outlining how employees should program, which could leave traces that indicate a person worked there, he said.