An anonymous reader shared this report from InfoWorld: JetBrains' Kotlin language, a Java rival endorsed by Google for Android mobile development, continues to scale up Tiobe's index of language popularity, reaching the 15th spot in the November 2023 rankings...

Software quality services company Tiobe cites Kotlin advantages including interoperability with Java and unrivaled Android accommodations as reasons for the language's rise. Kotlin, Tiobe CEO Paul Jansen said, also fits in with a modern programming culture of expressive languages that have a strong type system and avoid null pointer exceptions by design. "Based on my experience, I am pretty sure Kotlin can reach a top 10 position," Jansen said. It remains to be seen if it can ever scale as high as a top four slot, he added...

In the rival Pypl Popularity of Programming languages index this month, Kotlin was ranked 13th with a 1.76% share, having slipped slightly year-over-year.
Kotlin's rank on the TIOBE index rose three positions in the last month — after rising two positions the month before. TIOBE's CEO says the language has now achieved its highest ranking ever on the index, surpassing 2017's "first wave of Kotlin popularity...when Google announced first class support for Kotlin on Android."

Rust now ranks #20 on the index, behind Delphi/Object Pascal, Swift, Ruby, and R.

Here's TIOBE November rankings for top-20 most popular programming languages:

1. Python
2. C
3. C++
4. Java
5. C#
6. JavaScript
7. PHP
8. Visual Basic
9. SQL
10. Assembly Language
11. Scratch
12. Fortran
13. Go
14. MATLAB
15. Kotlin
16. Delphi/Object Pascal
17. Swift
18. Ruby
19. R
20. Rust

ZDNet shares on update on "Rust in Linux: Where we are and where we're going next," citing a talk at the Linux Plumbers Conference in Richmond, Virginia by Linux/Rust developer Miguel Ojeda: In brief, Rust Linux is continuing to mature and is getting strong support from developers and vendors, such as Cisco, Samsung, and Canonical... Rust is taking the steps it needs to become — along with C — a fully-fledged member of the Linux language toolchain... That's not to say that we're ready to retire C for Rust just yet. In fact, that day is unlikely ever to come. But Rust is definitely on its way to becoming an important language for Linux development...

As for the day-to-day work that's required to make Rust fully integrated with Linux, the "official" website of the initiative is now the self-explanatory Rust for Linux. This site is your one-stop source for all things Rust on Linux... However, the move forward has not been straightforward. Rust on Linux developers have discovered some problems along the way. For example, while deadlocks, when two or more threads are waiting on the other to finish, are safe in Rust, because they don't result in undefined behavior, they're not safe in the Linux kernel. The programmers are working on fixing this issue...

A related issue is that there's growing interest in backporting Rust support into long-term support (LTS) versions of Linux, specifically 5.15 and 6.1. Some people are especially showing interest in the super LTS Linux 6.1 kernel. However, Linux doesn't generally allow backports into LTS Linuxes. So, if you really, really want fully featured Rust support in an older LTS kernel, you're going to need to pay for it in one way or the other. Another general rule that Rust developers have decided they're going to try to "break" is the rule against duplicate drivers. Usually, no one wants anyone wasting time reinventing the wheel, but some maintainers are open to the idea of experimenting with Rust, by starting simple with a driver they're already familiar with...

These movements are small steps forward, but they're all critical for making Rust equal to C as a Linux programming language.

The Python community is staying busy.

• Three weeks ago a new podcast launched with Python core developer/steering council member Pablo Galindo and Python developer-in-residence Åukasz Langa.

• This month the Python Sofware Foundation announced its seventh Python Developers Survey.

• And for the fifth year in a row the foundation partnered with JetBrains to offer a 30% discount on JetBrains' dedicated Python Integrated Development Environment "PyCharm" — with all proceeds benefitting the Python Software Foundation ("The discount will be automatically applied when you check out. The promotion will only be available through November 27th...")
  
  A PSF blog post about the fundraiser notes you can also just make a direct donation to the Python Software Foundation, or sign up to become a foundation member to "help us sustain what we do."

Despite more than a decade of reminding, prodding, and downright nagging, a surprising number of developers still can't bring themselves to keep their code free of credentials that provide the keys to their kingdoms to anyone who takes the time to look for them. From a report: The lapse stems from immature coding practices in which developers embed cryptographic keys, security tokens, passwords, and other forms of credentials directly into the source code they write. The credentials make it easy for the underlying program to access databases or cloud services necessary for it to work as intended. [...]

The number of studies published since following the revelations underscored just how common the practice had been and remained in the years immediately following Uber's cautionary tale. Sadly, the negligence continues even now. Researchers from security firm GitGuardian this week reported finding almost 4,000 unique secrets stashed inside a total of 450,000 projects submitted to PyPI, the official code repository for the Python programming language. Nearly 3,000 projects contained at least one unique secret. Many secrets were leaked more than once, bringing the total number of exposed secrets to almost 57,000.

Programmer and writer James Somers, writing for New Yorker: Yes, our jobs as programmers involve many things besides literally writing code, such as coaching junior hires and designing systems at a high level. But coding has always been the root of it. Throughout my career, I have been interviewed and selected precisely for my ability to solve fiddly little programming puzzles. Suddenly, this ability was less important.

I had gathered as much from Ben (friend of the author), who kept telling me about the spectacular successes he'd been having with GPT-4. It turned out that it was not only good at the fiddly stuff but also had the qualities of a senior engineer: from a deep well of knowledge, it could suggest ways of approaching a problem. For one project, Ben had wired a small speaker and a red L.E.D. light bulb into the frame of a portrait of King Charles, the light standing in for the gem in his crown; the idea was that when you entered a message on an accompanying Web site the speaker would play a tune and the light would flash out the message in Morse code. (This was a gift for an eccentric British expat.) Programming the device to fetch new messages eluded Ben; it seemed to require specialized knowledge not just of the microcontroller he was using but of Firebase, the back-end server technology that stored the messages. Ben asked me for advice, and I mumbled a few possibilities; in truth, I wasn't sure that what he wanted would be possible. Then he asked GPT-4. It told Ben that Firebase had a capability that would make the project much simpler. Here it was -- and here was some code to use that would be compatible with the microcontroller.

Afraid to use GPT-4 myself -- and feeling somewhat unclean about the prospect of paying OpenAI twenty dollars a month for it -- I nonetheless started probing its capabilities, via Ben. We'd sit down to work on our crossword project, and I'd say, "Why don't you try prompting it this way?" He'd offer me the keyboard. "No, you drive," I'd say. Together, we developed a sense of what the A.I. could do. Ben, who had more experience with it than I did, seemed able to get more out of it in a stroke. As he later put it, his own neural network had begun to align with GPT-4's. I would have said that he had achieved mechanical sympathy. Once, in a feat I found particularly astonishing, he had the A.I. build him a Snake game, like the one on old Nokia phones. But then, after a brief exchange with GPT-4, he got it to modify the game so that when you lost it would show you how far you strayed from the most efficient route. It took the bot about ten seconds to achieve this. It was a task that, frankly, I was not sure I could do myself.

In chess, which for decades now has been dominated by A.I., a player's only hope is pairing up with a bot. Such half-human, half-A.I. teams, known as centaurs, might still be able to beat the best humans and the best A.I. engines working alone. Programming has not yet gone the way of chess. But the centaurs have arrived. GPT-4 on its own is, for the moment, a worse programmer than I am. Ben is much worse. But Ben plus GPT-4 is a dangerous thing.

Started in 2013, "Hour of Code" is an annual tradition started by the education non-profit Code.org (which provides free coding lessons to schools). Its FAQ describes the December event for K-12 students as "a worldwide effort to celebrate computer science, starting with 1-hour coding activities," and over 100 million schoolkids have participated over the years.

This year's theme will be "Creativity With AI," and the "computer vision" lesson includes a short video (less than 7 minutes) featuring a Tesla Autopilot product manager from its computer vision team. "I build self-driving cars," they say in the video. "Any place where there can be resources used more efficiently I think is a place where technology can play a role. But of course one of the best, impactful ways of AI, I hope, is through self-driving cars." (The video then goes on to explain how lots of training data ultimately generates a statistical model, "which is just a fancy way of saying, a guessing machine.")

The 7-minute video is part of a larger lesson plan (with a total estimated time of 45 minutes) in which students tackle a fun story problem. If a sports arena's scoreboard is showing digital numbers, what series of patterns would a machine-vision system have to recognize to identify each digit. (Students are asked to collaborate in groups.) And it's just one of seven 45-minute lessons, each one accompanied by a short video. (The longest video is 7 minutes and 28 seconds, and all seven videos, if watched back-to-back, would run for about 31 minutes.)

Not all the lessons involve actual coding, but the goal seems to be familiarizing students (starting at the 6th grade level) with artificial intelligence of today, and the issues it raises. The second-to-last lesson is titled "Algorithmic Bias" — with a video including interviews with an ethicist at Open AI and professor focused on AI from both MIT and Stanford. And the last lesson — "Our AI Code of Ethics" — challenges students to assemble documents and videos on AI-related "ethical pitfalls," and then pool their discoveries into an educational resource "for AI creators and legislators everywhere."

This year's installment is being billed as "the largest learning event in history." And it's scheduled for the week of December 4 so it coincides with "Computer Science Education Week" (a CS-education event launched in 2009 by the Association for Computing Machinery, with help from partners including Intel, Microsoft, Google, and the National Science Foundation).

The senior security editor at Ars Technica writes: Highly invasive malware targeting software developers is once again circulating in Trojanized code libraries, with the latest ones downloaded thousands of times in the last eight months, researchers said Wednesday.

Since January, eight separate developer tools have contained hidden payloads with various nefarious capabilities, security firm Checkmarx reported. The most recent one was released last month under the name "pyobfgood." Like the seven packages that preceded it, pyobfgood posed as a legitimate obfuscation tool that developers could use to deter reverse engineering and tampering with their code. Once executed, it installed a payload, giving the attacker almost complete control of the developerâ(TM)s machine. Capabilities include:


- Exfiltrate detailed host information
- Steal passwords from the Chrome web browser
- Set up a keylogger
- Download files from the victim's system
- Capture screenshots and record both screen and audio
- Render the computer inoperative by ramping up CPU usage, inserting a batch script in the startup directory to shut down the PC, or forcing a BSOD error with a Python script
- Encrypt files, potentially for ransom
- Deactivate Windows Defender and Task Manager
- Execute any command on the compromised host


In all, pyobfgood and the previous seven tools were installed 2,348 times. They targeted developers using the Python programming language... Downloads of the package came primarily from the US (62%), followed by China (12%) and Russia (6%)
Ars Technica concludes that "The never-ending stream of attacks should serve as a cautionary tale underscoring the importance of carefully scrutinizing a package before allowing it to run."

In Chrome, JavaScript (and WebAssembly) code are both executed by Google's open source V8 engine — which already has garbage-collecting capabilities. "This means developers making use of, for example, PHP compiled to Wasm, end up shipping a garbage collector implementation of the ported language (PHP) to the browser that already has a garbage collector," writes Google developer advocate Thomas Steiner, "which is as wasteful as it sounds."

"This is where WasmGC comes in." WebAssembly Garbage Collection (or WasmGC) is a proposal of the WebAssembly Community Group [which] adds struct and array heap types, which means support for non-linear memory allocation... In simplified terms, this means that with WasmGC, porting a programming language to WebAssembly means the programming language's garbage collector no longer needs to be part of the port, but instead the existing garbage collector can be used.
Sometime on Halloween, Steiner wrote that in Chrome, WebAssembly garbage collection is now enabled by default. But then he explored what this means for high-level programming languages (with their own built-in garbage collection) being compiled into WebAssembly: To verify the real-world impact of this improvement, Chrome's Wasm team has compiled versions of the Fannkuch benchmark (which allocates data structures as it works) from C, Rust, and Java. The C and Rust binaries could be anywhere from 6.1 K to 9.6 K depending on the various compiler flags, while the Java version is much smaller at only 2.3 K! C and Rust do not include a garbage collector, but they do still bundle malloc/free to manage memory, and the reason Java is smaller here is because it doesn't need to bundle any memory management code at all. This is just one specific example, but it shows that WasmGC binaries have the potential of being very small, and this is even before any significant work on optimizing for size.
The blog post includes two examples of WasmGC-ported programming languages in action:

• "One of the first programming languages that has been ported to Wasm thanks to WasmGC is Kotlin in the form of Kotlin/Wasm."

• "The Dart and Flutter teams at Google are also preparing support for WasmGC. The Dart-to-Wasm compilation work is almost complete, and the team is working on tooling support for delivering Flutter web applications compiled to WebAssembly."

This week GitHub announced the approaching general availability of the GPT-4-powered GitHub Copilot Chat in December "as part of your existing GitHub Copilot subscription" (and "available at no cost to verified teachers, students, and maintainers of popular open source projects.")

And this "code-aware guidance and code generation" will also be integrated directly into github.com, "so developers can dig into code, pull requests, documentation, and general coding questions with Copilot Chat providing suggestions, summaries, analysis, and answers." With GitHub Copilot Chat we're enabling the rise of natural language as the new universal programming language for every developer on the planet. Whether it's finding an error, writing unit tests, or helping debug code, Copilot Chat is your AI companion through it all, allowing you to write and understand code using whatever language you speak...

Copilot Chat uses your code as context, and is able to explain complex concepts, suggest code based on your open files and windows, help detect security vulnerabilities, and help with finding and fixing errors in code, terminal, and debugger...

With the new inline Copilot Chat, developers can chat about specific lines of code, directly within the flow of their code and editor.
InfoWorld notes it will chat in "whatever language a developer speaks." (And that Copilot Chat will also be available in GitHub's mobile app.) But why wait until December? GitHub's blog post says that Copilot Chat "will come to the JetBrains suite of IDEs, available in preview today."

GitHub also plans to introduce "slash commands and context variables" for GitHub Copilot, "so fixing or improving code is as simple as entering /fix and generating tests now starts with /tests."

"With Copilot in the code editor, in the CLI, and now Copilot Chat on github.com and in our mobile app, we are making Copilot ubiquitous throughout the software development lifecycle and always available in all of GitHub's surface areas..."

CNBC adds that "Microsoft-owned GitHub" also plans to introduce "a more expensive Copilot assistant" in February "for developers inside companies that can explain and provide recommendations about internal source code."

Wednesday's blog post announcing these updates was written by GitHub's CEO, who seemed to be predicting an evolutionary leap into a new future. "Just as GitHub was founded on Git, today we are re-founded on Copilot." He promised they'd built on their vision of a future "where AI infuses every step of the developer lifecycle." Open source and Git have fundamentally transformed how we build software. It is now evident that AI is ushering in the same sweeping change, and at an exponential pace... We are certain this foundational transformation of the GitHub platform, and categorically new way of software development, is necessary in a world dependent on software. Every day, the world's developers balance an unsustainable demand to both modernize the legacy code of yesterday and build our digital tomorrow. It is our guiding conviction to make it easier for developers to do it all, from the creative spark to the commit, pull request, code review, and deploy — and to do it all with GitHub Copilot deeply integrated into the developer experience.
And if you're worried about the security of AI-generated code... Today, GitHub Copilot applies an LLM-based vulnerability prevention system that blocks insecure coding patterns in real-time to make GitHub Copilot's suggestions more secure. Our model targets the most common vulnerable coding patterns, including hardcoded credentials, SQL injections, and path injections. GitHub Copilot Chat can also help identify security vulnerabilities in the IDE, explain the mechanics of a vulnerability with its natural language capabilities, and suggest a specific fix for the highlighted code.
But for Enterprise accounts paying for GitHub Advanced Security, there's also an upgrade coming: "new AI-powered application security testing features designed to detect and remediate vulnerabilities and secrets in your code." (It's already available in preview mode.)

GitHub even announced plans for a new AI assistant in 2024 that generates a step-by-step plan for responding to GitHub issues. (GitHub describes it as "like a pair programming session with a partner that knows about every inch of the project, and can follow your lead to make repository-wide changes from the issue to the pull request with the power of AI.")

CNBC notes that AI-powered coding assistants "are still nascent, though, with less than 10% enterprise adoption, according to Gartner, a technology industry research firm."

But last month Microsoft CEO Satya Nadella told analysts GitHub Copilot already had one million paying users...

And GitHub's blog post concludes, "And we're just getting started."

Long-time Slashdot reader destinyland shares a report from CNN Business: Cruise, General Motors' self-driving vehicle subsidiary, has recalled all 950 of its autonomous vehicles for a software update. Late last month, Cruise paused all its public testing operations while it investigated the incident that led to the recall. [...]

The update will alter the way the car responds after an impact is detected. In [that infamous San Francisco accident], the vehicle had incorrectly determined that it was struck on the side rather than hitting something in the front, according to a report (PDF) Cruise filed with NHTSA. The report did not detail exactly what the software update changes, only that it "remedies the issue described in this notice."

The cars can be returned to service once the updates are completed, Cruise said in its report to NHTSA. Cruise doesn't sell its self-driving vehicles so all the cars are owned by either Cruise or GM, which produces the heavily modified Chevrolet Bolt electric vehicles. The company will perform the software updates itself.

Blake Montgomery reports via The Guardian: Rather than remove copyrighted material from ChatGPT's training dataset, the chatbot's creator is offering to cover its clients' legal costs for copyright infringement suits. OpenAI CEO Sam Altman said on Monday: "We can defend our customers and pay the costs incurred if you face legal claims around copyright infringement and this applies both to ChatGPT Enterprise and the API." The compensation offer, which OpenAI is calling Copyright Shield, applies to users of the business tier, ChatGPT Enterprise, and to developers using ChatGPT's application programming interface. Users of the free version of ChatGPT or ChatGPT+ were not included. [...] Getty Images, Shutterstock and Adobe have extended similar financial liability protection for their image-making software. The announcement was made at the company's first-ever developer conference today, where Altman said there are now 100 million weekly ChatGPT users. The company also announced a platform for making custom versions of ChatGPT for specific use cases -- no coding required.

With programmers in high demand, InfoWorld asks if it's really worthwhile for software developers to pursue certifications? "Based on input from those in the field, company executives, and recruiters, the answer is a resounding yes," "The primary benefit of certifications is to verify your skill sets," says Archie Payne, president of the recruiting firm CalTek Staffing... Certifications can be used to "reinforce the experience on your resume or demonstrate competencies beyond what you've done in the workplace in a prior role." Certifications show that you are committed to your field, invested in career growth, and connected to the broader technology landscape, Payne says. "Obtaining certification indicates that you are interested in learning new skills and continuing your learning throughout your career," he says...

In cases where multiple candidates are equally qualified, having a relevant certification can give one candidate an edge over others, says Aleksa Krstic, CTO at Localizely, a provider of a cloud-based translation platform. "When it comes to certifications in general, when we see a junior to mid-level developer armed with programming certifications, it's a big green light for our hiring team," says MichaÅ Kierul, who is CEO of software company INTechHouse.

"It's not just about the knowledge they have gained," Kierul says. "It speaks volumes about their passion, their drive to excel, and their commitment to continuous learning outside their regular work domain. It underscores a key trait we highly value: the desire to grow, learn, and elevate oneself in the world of technology."

An ongoing Cloudflare outage has taken down many of its products, including the company's dashboard and related application programming interfaces (APIs) customers use to manage and read service configurations. From a report: The complete list of services whose functionality is wholly or partially impacted includes the Cloudflare dashboard, the Cloudflare API, Logpush, WARP / Zero Trust device posture, Stream API, Workers API, and the Alert Notification System. "This issue is impacting all services that rely on our API infrastructure including Alerts, Dashboard functionality, Zero Trust, WARP, Cloudflared, Waiting Room, Gateway, Stream, Magic WAN, API Shield, Pages, Workers," Cloudflare said. "Customers using the Dashboard / Cloudflare APIs are impacted as requests might fail and/or errors may be displayed."

Customers currently have issues when attempting to log into their accounts and are seeing 'Code: 10000' authentication errors and internal server errors when trying to access the Cloudflare dashboard. Cloudflare says the service issues don't affect the cached file delivery via the Cloudflare CDN or Cloudflare Edge security features.

"More developers are looking for or are open to a new job now compared to the last two years," writes Stack Overflow's senior analyst for market research and insights — citing the results of their latest survey of developers in 107 different countries.

"More than 1,000 developers responded to this year's survey about jobs and 79% are at least considering new opportunities if not actively looking." New insights from these survey results show that new tech talent and late-career developers are both more likely to be looking. New developers have increasingly switched jobs compared to early- and mid-career developers in the last three years... Interest in looking for a new job drops as developers get older for new to mid-career (44 and younger) respondents (86% to 74%), but picks back up for those 55 to 64 (88%). Late-career developers acknowledge curiosity about other companies as their second top reason to look for a new job this year behind "better salary," which all age groups rank as their top reason. Curiosity grew in importance for late-career developers since last year more than all other age groups (32% vs. 22%) and is more important to this group than reasons other groups ranked higher such as working with new technology and growth opportunities...

In our 2023 Developer Survey, we started asking about AI and the sentiment around it in our developer community; results were very similar when we checked in again through this pulse survey (70% are using AI or planning to). Developers may also feel less enthusiastic about learning opportunities now that AI tools are rapidly developing to help many be more productive in their jobs (30% cite this as the top benefit).
Other interesting findings from the survey:

• Compared to the 2023 Developer Survey, 8% of developers have exited the technology industry and are increasingly filling roles in manufacturing and supply chain companies (11% vs. 7%)

• Technology is the industry most developers currently work in (46%), followed by manufacturing/supply chain (14%) and financial services (13%)

• New tech talent is onboarding at as many jobs by 24 as those up to 10 years their senior and this rapid experience cycle could rival the knowledge and experience of those they report to.

Long-time Slashdot reader CJSHayward shares "an attempt at Python virtual shell."

The home-brewed project "mixes your native shell with Python with the goal of letting you use your regular shell but also use Python as effectively a shell scripting language, as an alternative to your shell's built-in scripting language... I invite you to explore and improve it!"

From the web site: The Python Virtual Shell (pvsh or 'p' on the command line) lets you mix zsh / bash / etc. built-in shell scripting with slightly modified Python scripting. It's kind of like Brython [a Python implementation for client-side web programming], but for the Linux / Unix / Mac command line...

The core concept is that all Python code is indented with tabs, with an extra tab at the beginning to mark Python code, and all shell commands (including some shell builtins) have zero tabs of indentation. They can be mixed line-by-line, offering an opportunity to use built-in zsh, bash, etc. scripting or Python scripting as desired.

The Python is an incomplete implementation; it doesn't support breaking a line into multiple lines. Nonetheless, this offers a tool to fuse shell- and Python-based interactions from the Linux / Unix / Mac command line.

theodp writes: The BBC reports that Pope Francis has endorsed a global project aimed at getting more children into computer programming. The Code with Pope initiative, championed by Cosmose AI founder Miron Mironiuk, aims to bridge "the glaring disparities in education" across the globe by providing access to Python coding education through the free online learning platform Codeforia for students aged 11-15 across Europe, Africa and Latin America. Mironiuk will meet the Pope at the Vatican, but he admits he's not anticipating the pontiff to emulate his students in acquiring new skills. "I don't expect him to know Python very well," he said.

This is not the first time the Pope has encouraged young people to get into coding, having helped write a line of code together with tech-backed nonprofit Code.org in 2019. Pope Francis has also blessed AI's potential for good, meeting with Microsoft President Brad Smith (a Code.org Board member) to sign the Rome Call for AI Ethics early this year just ahead of Microsoft's $10B OpenAI investment and announcing "Artificial Intelligence and Peace" as the theme for World Day of Peace 2024 in August.

Brian Steinberg reports via Variety: So-called "pause ads" -- they only turn up a few seconds after a viewer has decided to halt the programming, and not every time one does -- are seeing new movement in the streaming world, with the format appearing more frequently on Hulu since July, according to Josh Mattison, senior vice president of revenue management and operations for Disney Advertising. Pause ads are also in motion in venues such as NBCUniversal's Peacock and Warner Bros. Discovery's Max.

As more media companies seek to goose subscriber rates by offering cheaper ad-supported versions of their streaming services, this type of commercial may become more handy. One of the main attractions of streaming, after all, is that it boasts fewer traditional commercials than its linear TV counterpart. The industry hopes that a pause ad -- other "out of pod" commercial experiences are also in development -- can appear on screen without upsetting a subscriber who gets viscerally roiled by the prospect of a glut of typical TV spots.

Others have also found ways to work ads into the moments when streaming fans come to a stopping point. NBCUniversal's Peacock launched with pause ads, says Peter Blacker, executive vice president of streaming and data products for NBCUniversal's ad-sales division, while Warner Bros. Discovery's Max introduced them in 2022, says Ryan Gould, head of digital ad sales and client partnerships at the company. No one has been holding back on the new format. Hulu has experimented with pauses since at least 2018, and an early version of the idea surfaced last decade when Coca-Cola and Universal Pictures tested concepts with ReplayTV, an early backer of digital video recording technology. Coke, which once used the slogan "the pause that refreshes" to great effect, and Charmin, the Procter & Gamble toilet tissue that can offer succor during many breaks in TV viewing, tested the format with Hulu in 2019.

An anonymous reader quotes a report from Reuters: U.S. measures to limit the export of advanced artificial intelligence (AI) chips to China may create an opening for Huawei to expand in its $7 billion home market as the curbs force Nvidia to retreat, analysts say. While Nvidia has historically been the leading provider of AI chips in China with a market share exceeding 90%, Chinese firms including Huawei have been developing their own versions of Nvidia's best-selling chips, including the A100 and the H100 graphics processing units (GPU).

Huawei's Ascend AI chips are comparable to Nvidia's in terms of raw computing power, analysts and some AI firms such as China's iFlyTek say, but they still lag behind in performance. Jiang Yifan, chief market analyst at brokerage Guotai Junan Securities, said another key limiting factor for Chinese firms was the reliance of most projects on Nvidia's chips and software ecosystem, but that could change with the U.S. restrictions. "This U.S. move, in my opinion, is actually giving Huawei's Ascend chips a huge gift," Jiang said in a post on his social media Weibo account. This opportunity, however, comes with several challenges.

Many cutting edge AI projects are built with CUDA, a popular programming architecture Nvidia has pioneered, which has in turn given rise to a massive global ecosystem that has become capable of training highly sophisticated AI models such as OpenAI's GPT-4. Huawei own version is called CANN, and analysts say it is much more limited in terms of the AI models it is capable of training, meaning that Huawei's chips are far from a plug-and-play substitute for Nvidia. Woz Ahmed, a former chip design executive turned consultant, said that for Huawei to win Chinese clients from Nvidia, it must replicate the ecosystem Nvidia created, including supporting clients to move their data and models to Huawei's own platform. Intellectual property rights are also a problem, as many U.S. firms already hold key patents for GPUs, Ahmed said. "To get something that's in the ballpark, it is 5 or 10 years," he added.

theodp writes: In July, Seattle-based and tech-backed nonprofit Code.org announced its 10th policy recommendation for all states "to require all students to take computer science (CS) to earn a high school diploma." In August, Washington State Senator Lisa Wellman phoned-in her plans to introduce a bill to make computer science a Washington high school graduation requirement to the state's Board of Education, indicating that the ChatGPT-sparked AI craze and Code.org had helped convince her of the need. Wellman, a former teacher who worked as a Programmer/System Analyst in the 80's before becoming an Apple VP (Publishing) in the '90s, also indicated that exposure to CS given to students in fifth grade could be sufficient to satisfy a HS CS requirement. In 2019, Wellman sponsored Microsoft-supported SB 5088 (Bill details), which required all Washington state public high schools to offer a CS class. Wellman also sponsored SB 5299 in 2021, which allows high school students to take a computer science elective in place of a third year math or science course (that may be required for college admission) to count towards graduation requirements.

And in October, Code.org CEO Hadi Partovi appeared before the Washington State Board of Education, driving home points Senator Wellman made in August with a deck containing slides calling for Washington to "require that all students take computer science to earn a high school diploma" and to "require computer science within all teacher certifications." Like Wellman, Partovi suggested the CS high school requirement might be satisfied by middle school work (he alternatively suggested one year of foreign language could be dropped to accommodate a HS CS course). Partovi noted that Washington contained some of the biggest promoters of K-12 CS in Microsoft Philanthropies' TEALS (TEALS founder Kevin Wang is a member of the Washington State Board of Education) and Code.org, as well some of the biggest funders of K-12 CS in Amazon and Microsoft -- both which are $3,000,000+ Platinum Supporters of Code.org and have top execs on Code.org's Board of Directors.

Christopher Grimes reports via the Financial Times: Some of Netflix's competitors are reversing a streaming war tactic by licensing their old TV shows and movies to the streamer -- boosting its programming offerings but also potentially squeezing its profit margins, analysts say. Netflix relied heavily on programming that it licensed from other companies when it launched its streaming service in 2007. But after Walt Disney, NBCUniversal, Paramount and the then Time Warner launched their own streaming services, they pulled many of their shows from Netflix to avoid feeding a company that had grown into an arch-competitor. With legacy media groups under pressure to produce streaming profits, however, licensing revenue is looking attractive again -- even if it comes from Netflix. This summer, Warner Bros Discovery's HBO network began licensing a handful of older shows to Netflix, including Insecure, Six Feet Under, Ballers and Band of Brothers.

Analysts at Morgan Stanley said the return of licensing deals was a "long-term positive" for Netflix and would "pad" its lead over competitors in streaming. But the bank added that the cost of licensing -- along with the Netflix's investments in gaming and other sectors -- could add pressure to its profit margins in 2024. The analysts raised their outlook for Netflix's overall cash spending next year by $500mn to $17.7bn. Netflix will report results on Wednesday, with investors expected to focus on whether it plans to increase subscription prices and signs of progress on its new advertising tier. The latest data on its password sharing crackdown will also be watched.

[T]he studios' experiments with licensing deals appear to have given some old shows new life. After NBCUniversal licensed its show Suits -- which aired from 2011-19 and starred Meghan Markle -- to Netflix in June, the show experienced a revival. The legal drama was in the top spot on the Nielsen Streaming top 10 for three months, an example of the "Netflix effect" on older shows. Bloys said licensing shows to Netflix had also boosted traffic for the programs on Warner Discovery's Max streaming platform, home to HBO programming including Ballers, a sports drama that ran from 2015-19. Ballers entered the Nielsen top 10 after it went to Netflix, and Insecure, a comedy starring Issa Rae that ran from 2016-21, had a similar boost.