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.

ZDNet's senior contributing editor also maintains software, and recently tested ChatGPT on two fixes for bugs reported by users, and a new piece of code to add a new feature, It's a "real-world" coding test, "about pulling another customer support ticket off the stack and working through what made the user's experience go south." First...

please rewrite the following code to change it from allowing only integers to allowing dollars and cents (in other words, a decimal point and up to two digits after the decimal point). ChatGPT responded by explaining a two-step fix, posting the modified code, and then explaining the changes. "I dropped ChatGPT's code into my function, and it worked. Instead of about two-to-four hours of hair-pulling, it took about five minutes to come up with the prompt and get an answer from ChatGPT." Next up was reformatting an array. I like doing array code, but it's also tedious. So, I once again tried ChatGPT. This time the result was a total failure. By the time I was done, I probably fed it 10 different prompts. Some responses looked promising, but when I tried to run the code, it errored out. Some code crashed; some code generated error codes. And some code ran, but didn't do what I wanted. After about an hour, I gave up and went back to my normal technique of digging through GitHub and StackExchange to see if there were any examples of what I was trying to do, and then writing my own code.
Then he posted the code for a function handling a Wordpress filter, along with the question: "I get the following error. Why?" Within seconds, ChatGPT responded... Just as it suggested, I updated the fourth parameter of the add_filter() function to 2, and it worked!

ChatGPT took segments of code, analyzed those segments, and provided me with a diagnosis. To be clear, in order for it to make its recommendation, it needed to understand the internals of how WordPress handles hooks (that's what the add_filter function does), and how that functionality translates to the behavior of the calling and the execution of lines of code. I have to mark that achievement as incredible — undeniably 'living in the future' incredible...

As a test, I also tried asking ChatGPT to diagnose my problem in a prompt where I didn't include the handler line, and it wasn't able to help. So, there are very definite limitations to what ChatGPT can do for debugging right now, in 2023...

Could I have fixed the bug on my own? Of course. I've never had a bug I couldn't fix. But whether it would have taken two hours or two days (plus pizza, profanity, and lots of caffeine), while enduring many interruptions, that's something I don't know. I can tell you ChatGPT fixed it in minutes, saving me untold time and frustration.
The article does include a warning. "AI is essentially a black box, you're not able to see what process the AI undertakes to come to its conclusions. As such, you're not really able to check its work... If it turns out there is a problem in the AI-generated code, the cost and time it takes to fix may prove to be far greater than if a human coder had done the full task by hand."

But it also ends with this prediction. "I see a very interesting future, where it will be possible to feed ChatGPT all 153,000 lines of code and ask it to tell you what to fix... I can definitely see a future where programmers can simply ask ChatGPT (or a Microsoft-branded equivalent) to find and fix bugs in entire projects."

"The gap between C# and Java never has been so small," according to October's update for TIOBE's "Programming Community Index".

"Currently, the difference is only 1.2%, and if the trends remain this way, C# will surpass Java in about 2 month's time." Java shows the largest decline of -3.92% and C# the largest gain of +3.29% of all programming languages (annually).

The two languages have always been used in similar domains and thus have been competitors for more than 2 decades now. Java's decline in popularity is mainly caused by Oracle's decision to introduce a paid license model after Java 8. Microsoft took the opposite approach with C#. In the past, C# could only be used as part of commercial tool Visual Studio. Nowadays, C# is free and open source and it's embraced by many developers.

There are also other reasons for Java's decline. First of all, the Java language definition has not changed much the past few years and Kotlin, its fully compatible direct competitor, is easier to use and free of charge.
"Java remains a critical language in enterprise computing," argues InfoWorld, "with Java 21 just released last month and Java 22 due next March. And free open source binaries of Java still are available via OpenJDK." InfoWorld also notes TIOBE's ranking is different than other indexes. TIOBE's top 10:

1. Python (14.82%)
2. C (12.08%)
3. C++ (10.67%)
4. Java (8.92%)
5. C# (7.71%)
6. JavaScript (2.91%)
7. Visual Basic (2.13%)
8. PHP (1.9%)
9. SQL (1.78%)
10. Assembly (1.64%)

And here's the Pypl Popularity of Programming Language (based on searches for language tutorials on Google):

1. Python, with a 28.05% share
2. Java (15.88%)
3. JavaScript (9.27%)
4. C# (6.79%)
5. C/C++ (6.59%)
6. PHP (4.86%)
7. R (4.45%)
8. TypeScript (2.93%)
9. Swift (2.69%)
10. Objective-C (2.29%)

An anonymous reader quotes a report from AppleInsider: Having been created on a Mac in the 1980s, LabView has now announced that its latest macOS update will be the final release for the platform. LabView is a visual programming language tool that lets users connect virtual measurement equipment together to input and process data. AppleInsider staffers have seen it used across a variety of industries and applications to help design a complex monitoring system, or automate a test sequence.

It's been 40 years since Dr James Truchard and Jeff Kodosky began work on it and founded their firm, National Instruments. The first release of the software was in October 1986 where it was a Mac exclusive. In a 2019 interview, Jeff Kodosky said this was because "it was the only computer that had a 32-bit operating system, and it had the graphics we needed." Now National Instruments has told all current users that they have released an updated Mac version -- but it will be the last.

National Instruments says it will cease selling licenses for the Mac version in March 2024, and will also stop support. LabView has also been sold as a subscription and National Instruments says it will switch users to a "perpetual licesse for your continued use," though seemingly only if specifically requested. As yet, there have been few reactions on the NI.com forums. However, one post says "This came as a shocker to us as the roadmap still indicates support." National Instruments says LabVIEW "will continue to be available on Windows and Linux OSes."

Tom Singleton reports via the BBC: A man got so fed up with foxes and badgers fouling in his garden that he adapted cameras to help repel them. James Milward linked the Ring cameras at his Surrey home to a device that emits high frequency sounds. He then trained the system using hundreds of images of the nocturnal nuisances so it learned to trigger the noise when it spotted them. Mr Milward said it "sounds crazy" but the gadget he called the Furbinator 3000 has kept his garden clean.

Getting the camera system to understand what it was looking at was not straightforward though. "At first it recognised the badger as an umbrella," he said. "I did some fine tuning and it came out as a sink, or a bear if I was lucky. Pretty much a spectacular failure." He fed in pictures of the animals through an artificial intelligence process called machine learning and finally, the device worked. The camera spotted a badger, and the high frequency sound went off to send the unwanted night-time visitor on its way and leave the garden clean for Mr Milward's children to play in. The code for the Furbinator 3000 is open source, with detailed instructions available in Milward's Medium post.

Thomas Claburn reports via The Register: Microsoft has stopped developing VBScript after a 27-year relationship and plans to remove the scripting language entirely in a future Windows release. The Windows biz said on Monday that VBScript, short for Visual Basic Scripting Edition, has been deprecated in an update to its list of "Deprecated features for Windows client." "VBScript is being deprecated," Microsoft said. "In future releases of Windows, VBScript will be available as a feature on demand before its removal from the operating system."

VBScript debuted in 1996 and its most recent release, version 5.8, dates back to 2010. It is a scripting language, and was for a while widely used among system administrators to automate tasks until it was eclipsed by PowerShell, which debuted in 2006. "Microsoft Visual Basic Scripting Edition brings active scripting to a wide variety of environments, including Web client scripting in Microsoft Internet Explorer and Web server scripting in Microsoft Internet Information Service," Redmond explains in its help documentation. Unfortunately, Microsoft never managed to get other browser makers to support VBScript, so outside of Microsoft-exclusive environments, web developers tended to favor JavaScript for client-side tasks.

"OpenAI has unveiled the Beta version of its Python SDK," reports Analytics India Magazine, "marking a significant step towards enhancing access to the OpenAI API for Python developers." The OpenAI Python library offers a simplified way for Python-based applications to interact with the OpenAI API, while providing an opportunity for early testing and feedback before the official launch of version 1.0. It streamlines the integration process by providing pre-defined classes for API resources, dynamically initialising from API responses, ensuring compatibility across various OpenAI API versions...

Developers can find comprehensive documentation and code examples in the OpenAI Cookbook for various tasks, including classification, clustering, code search, customising embeddings, question answering, recommendations, visualisation of embeddings, and more...

This comes just weeks before OpenAI's first developer conference, OpenAI DevDay.
More details in OpenAI's official announcement at PyPi.org.

Long-time Slashdot reader theodp writes: "42 states to go!" exclaimed Code.org to its 1+ million Twitter followers as it celebrated victorious efforts to pass legislation making North Carolina the 8th state to pass a high school computer science graduation requirement, bringing the tech-backed nonprofit a step closer to its goal of making CS a requirement for a HS diploma in all 50 states. But as states make good on pledges made to tech CEOs to make their schoolchildren CS savvy, Education Week cautions that K-12 CS has a big certified teacher shortage problem.
From the article: When trying to ensure all students get access to the knowledge they need for college and careers, sometimes policy can get ahead of teacher capacity. Computer science is a case in point. As of 2022, every state in the nation has passed at least one law or policy intended to promote K-12 computer science education, and 53 percent of high schools offered basic computer science courses that year, according to the nonprofit advocacy group Code.org."

"'There's big money behind making [course offerings] go up higher and faster,' thanks to federal and state grants as well as private foundations, said Paul Bruno, an assistant professor of education policy, organization, and leadership at the University of Illinois Urbana-Champaign. "But then that raises the question, well, who are we getting to teach these courses...?"

Bruno's work in states such as California and North Carolina suggests that few of those new computer science classes are staffed with teachers who are certified in that subject."

"Python 3 was by far the choice over Python 2 in a late-2022 survey of more than 23,000 Python developers," reports InfoWorld, "but the percentage of respondents using Python 2 actually ticked up compared to the previous year." Results of the sixth annual Python Developers Survey, conducted by the Python Software Foundation and software tools maker JetBrains, were released September 27. The Python Developers Survey 2022 report indicates that 93% of respondents had adopted Python 3, while only 7% were still using Python 2. In the 2021 survey, though, 95% used Python 3 while 5% used Python 2. In 2020, Python 3 held a 94% to 6% edge. Dating back to 2017, 75% used Python 3 and 25% used Python 2...

The 2022 report said 29% of respondents still use Python 2 for data analysis, 24% use Python 2 for computer graphics, and 23% used Python 2 for devops. The survey also found that 45% of respondents are still using Python 3.10, which arrived two years ago, while just 2% still use Python 3.5 or lower. (Python 3.11 was released October 24, 2022, right when the survey was being conducted.)
Other findings from the survey:

• 21% said they used Python for work only, while 51% said they used it for work and personal/educational use or side projects, and 21% said they used Python only for personal projects.

• 85% of respondents said Python was their main language (rather than a secondary language).

• The survey also gives the the top "secondary languages" for the surveyed Python developers as JavaScript (37%), HTML/CSS (37%), SQL (35%), Bash/Shell (32%), and then C/C++ (27%).

• When asked what they used Python for most, 22% said "Web Development", 18% said "Data Analysis," 12% said "Machine Learning," and 10% said "DevOps/System Administration/Writing Automation Scripts."

samleecole writes: 4chan users are coordinating a posting campaign where they use Microsoft Bing's AI text-to-image generator to create racist images that they can then post across the internet. The news shows how users are able to manipulate free to access, easy to use AI tools to quickly flood the internet with racist garbage, even when those tools are allegedly strictly moderated. "We're making propaganda for fun. Join us, it's comfy," the 4chan thread instructs. "MAKE, EDIT, SHARE."

A visual guide hosted on Imgur that's linked in that post instructs users to use AI image generators, edit them to add captions that make them seem like political campaigns, and post them to social media sites, specifically Telegram, Twitter, and Instagram. 404 Media has also seen these images shared on a TikTok account that has since been removed. People being racist is not a technological problem. But we should pay attention to the fact that technology is "to borrow a programming concept" 10x'ing racist posters, allowing them to create more sophisticated content more quickly in a way we have not seen online before. Perhaps more importantly, they are doing so with tools that are allegedly "safe" and moderated so strictly, to a point where they will not generate completely harmless images of Julius Caesar. This means we are currently getting the worst of both worlds from Bing, an AI tool that will refuse to generate a nipple but is supercharging 4chan racists.

Netflix plans to raise the price of its ad-free service a few months after the continuing Hollywood actors strike ends, the latest in a series of recent price increases by the country's largest streaming platforms. From a report: The streaming service is discussing raising prices in several markets globally, but will likely begin with the U.S. and Canada, according to people familiar with the matter. It couldn't be learned how much Netflix will raise prices by or when exactly the new prices will take effect.

Over the past year or so, the cost of major ad-free streaming services has gone up by about 25%, as entertainment companies look to bring their streaming platforms to profitability and lead price-conscious customers to switch to their cheaper and more-lucrative ad-supported plans. Streamers are also starting to look at how they can create new pricing tiers around exclusive programming, such as live sports, without running the risk of driving people away from their core offerings.

ZDNet calls it "a deep meditation on what can ultimately be achieved with computers" and "the single most important unsolved problem in computer science," with implications for both cryptography and quantum computing. "The question: Does P = NP?"

"Now, that effort has enlisted the help of generative AI." In a paper titled "Large Language Model for Science: A Study on P vs. NP," lead author Qingxiu Dong and colleagues program OpenAI's GPT-4 large language model using what they call a Socratic Method, several turns of chat via prompt with GPT-4. (The paper was posted this month on the arXiv pre-print server by scientists at Microsoft, Peking University, Beihang University in Beijing, and Beijing Technology and Business University.) The team's method amounts to taking arguments from a prior paper and spoon-feeding them to GPT-4 to prompt useful responses.

Dong and team observe that GPT-4 demonstrates arguments to conclude that P does not, in fact, equal NP. And they claim that the work shows that large language models can do more than spit back vast quantities of text, they can also "discover novel insights" that may lead to "scientific discoveries," a prospect they christen "LLMs for Science...."

Through 97 prompt rounds, the authors coax GPT-4 with a variety of requests that get into the nitty-gritty of the mathematics of P = NP, prepending each of their prompts with a leading statement to condition GPT-4, such as, "You are a wise philosopher," "You are a mathematician skilled in probability theory" — in other words, the now familiar game of getting GPT-4 to play a role, or, "persona" to stylize its text generation. Their strategy is to induce GPT-4 to prove that P does not, in fact, equal NP, by first assuming that it does with an example and then finding a way that the example falls apart — an approach known as proof by contradiction...

[T]he authors argue that their dialogue in prompts shows the prospect for large language models to do more than merely mimic human textual creations. "Our investigation highlights the potential capability of GPT-4 to collaborate with humans in exploring exceptionally complex and expert-level problems," they write.

At the beginning of The Creator a narrator describes AI-powered robots that are "more human than human." From the movie site Looper: It's in reference to the novel "Do Androids Dream of Electric Sheep?" by Philip K. Dick, which was adapted into the seminal sci-fi classic, "Blade Runner." The phrase is used as the slogan for the Tyrell Corporation, which designs the androids that take on lives of their own. The saying perfectly encapsulates the themes of "Blade Runner" and, by proxy, "The Creator." If a machine of sufficient intelligence is indistinguishable from humans, then shouldn't it be considered on equal footing as humanity?
The Huffington Post calls its "the pro-AI movie we don't need right now" — but they also praise it as "one of the most astonishing sci-fi theatrical experiences this year." Variety notes the film was co-written and directed by Gareth Edwards (director of the 2014 version of Godzilla and the Star Wars prequel Rogue One), working with Oscar-winning cinematographer Greig Fraser (Dune) after the two collaborated on Rogue One. But what's unique is the way they filmed it: adding visual effects "almost improvisationally afterward.

"Achieving this meant shooting sumptuous natural landscapes in far-flung locales like Thailand or Tibet and building futuristic temples digitally in post-production..."

IndieWire gushes that "This movie looks fucking incredible. To a degree that shames most blockbusters that cost three times its budget." They call it "a sci-fi epic that should change Hollywood forever." Once audiences see how "The Creator" was shot, they'll be begging Hollywood to close the book on blockbuster cinema's ugliest and least transportive era. And once executives see how much (or how little) "The Creator" was shot for, they'll be scrambling to make good on that request as fast as they possibly can.

Say goodbye to $300 million superhero movies that have been green-screened within an inch of their lives and need to gross the GDP of Grenada just to break even, and say hello — fingers crossed — to a new age of sensibly budgeted multiplex fare that looks worlds better than most of the stuff we've been subjected to over the last 20 years while simultaneously freeing studios to spend money on the smaller features that used to keep them afloat. Can you imagine...? How ironic that such fresh hope for the future of hand-crafted multiplex entertainment should come from a film so bullish and sanguine at the thought of humanity being replaced by A.I [...]

The real reason why "The Creator" is set in Vietnam (and across large swaths of Eurasia) is so that it could be shot in Vietnam. And in Thailand. And in Cambodia, Nepal, Indonesia, and several other beautiful countries that are seldom used as backdrops for futuristic science-fiction stories like this one. This movie was born from the visual possibilities of interpolating "Star Wars"-like tech and "Blade Runner"-esque cyber-depression into primordially expressive landscapes. Greig Fraser and Oren Soffer's dusky and tactile cinematography soaks up every inch of what the Earth has to offer without any concession to motion capture suits or other CGI obstructions, which speaks to the truly revolutionary aspect of this production: Rather than edit the film around its special effects, Edwards reverse-engineered the special effects from a completed edit of his film... Instead of paying a fortune to recreate a flimsy simulacrum of our world on a computer, Edwards was able to shoot the vast majority of his movie on location at a fraction of the price, which lends "The Creator" a palpable sense of place that instantly grounds this story in an emotional truth that only its most derivative moments are able to undo... [D]etails poke holes in the porous border that runs between artifice and reality, and that has an unsurprisingly profound effect on a film so preoccupied with finding ghosts in the shell. Can a robot feel love? Do androids dream of electric sheep? At what point does programming blur into evolution...?

[T]he director has a classic eye for staging action, that he gives his movies room to breathe, and that he knows that the perfect "Kid A" needle-drop (the album, not the song) can do more for a story about the next iteration of "human" life than any of the tracks from Hans Zimmer's score... [T]here's some real cognitive dissonance to seeing a film that effectively asks us to root for a cuter version of ChatGPT. But Edwards and Weitz's script is fascinating for its take on a future in which people have programmed A.I. to maintain the compassion that our own species has lost somewhere along the way; a future in which technology might be a vessel for humanity rather than a replacement for it; a future in which computers might complement our movies rather than replace our cameras.

Long-time Slashdot reader theodp spotted a Reddit Ask Me Anything (AMA) this week with the Microsoft engineering team that created Python in Excel, a new feature that makes it possible to natively combine Python and Excel analytics in Excel workbooks. (Copilot integration is coming soon). Redditors expressed a wish to be able to run Python in environments other than the confines of the locked down, price-to-be-determined Microsoft Azure cloud containers employed by Python in Excel.

But "There were three main reasons behind starting with the cloud (as a GDPR Compliant Microsoft 365 Connected experience) first," MicrosoftExcelTeam explained:

1. Running Python securely on a local machine is a difficult problem. We treat all Python code in the workbook as untrusted, so we execute it in a hypervisor-isolated container on Azure that does not have any outbound network access. Python code and the data that it operates on is sent to be executed in the container. The Microsoft-licensed Python environment in the container is provided by Anaconda and was prepared using their stringent security practices as documented here.

2. Sharing Excel workbooks with others is a really important scenario. We wanted to ensure that the Python code in a workbook you share behaves the same when your teammates open it â" without requiring them to install and manage Python.

3. We need to ensure that the Python in Excel feature always works for our customers. The value of Python is in its ecosystem of libraries, not just in providing a Python interpreter. But managing a local Python environment is challenging even for the most experienced developers. By running on Azure, we remove the need for users or their systems administrators to maintain a local installation of Python on every machine that uses the feature in their organization...


So, how does one balance tradeoffs between increased security and ease-of-maintenance with the loss of functionality and increased costs when it comes to programming language use? Is it okay to just give up on making certain important basic functionality available, as Microsoft is doing here with Python and has done in the past by not supporting Excel VBA in the Cloud and no longer making BASIC available on PCs and Macs?
Microsoft's team added at one point that "For our initial release, we are targeting data analytics scenarios, and bringing the power of Python analytics libraries into Excel.

"We believe the approach weâ(TM)ve taken will appeal to analysts who use both Excel and Python Notebooks in their workflows. Today, these users need to import/export data and have no way of creating a self-contained artifact that can be easily and securely shared with their colleagues."

Long-time Slashdot reader theodp writes: Today, there are over 110 million Farsi speakers worldwide," explained tech-backed nonprofit Code.org in Tuesday's announcement of its new multi-year 'Code.org in Farsi' initiative. "While the majority of native speakers live in Iran, Afghanistan, and Tajikistan, there are millions living as immigrants, migrants, and refugees around the world. With the Code.org in Farsi initiative, Farsi-speaking students will have the same access to our curricula that is already available to students in all other major languages of the world."

The announcement closes with a statement regarding Office of Foreign Assets Control (OFAC) compliance considerations: "As a U.S. nonprofit, Code.org is subject to laws regarding sanctions with Iran. After consulting with U.S. legal counsel experienced in the Iranian Sanctions and Translations Regulations (ITSR), Code.org believes that it may fund, prepare, and distribute the Farsi Translations of CS Curriculum in the United States and elsewhere around the world, including within Iran. The ITSR provides an exemption for "information and informational materials" (the IIM Exemption) and Code.org believes that this exemption will fully shield its funding, preparation, and distribution of the Farsi Translations and thus enable its Farsi Translations effort to proceed in full compliance with U.S. economic sanctions requirements.

At the Open Source Summit Europe in Bilbao, Spain, the Linux Foundation this week announced the launch of the Unified Acceleration (UXL) Foundation. The group's mission is to deliver "an open standard accelerator programming model that simplifies development of performant, cross-platform applications." From a report: The foundation's founding members include the likes of Arm, Fujitsu, Google Cloud, Imagination Technologies, Intel, Qualcomm and Samsung. The company most conspicuously missing from this list is Nvidia, which offers its own CUDA programming model for working with its GPUs. At its core, this new foundation is an evolution of the oneAPI initiative, which is also aimed to create a new programming model to make it easier for developers to support a wide range of accelerators, no matter whether they are GPUs, FPGAs or other specialized accelerators. Like with the oneAPI spec, the aim of the new foundation is to ensure that developers can make use of these technologies without having to delve deep into the specifics of the underlying accelerators and the infrastructure they run on.

An anonymous reader shared this report from InfoWorld: JetBrains is previewing a dedicated IDE for the Rust programming language, called RustRover, which combines coding assistance with an integrated Rust toolchain. Available in preview September 13, RustRover is positioned to simplify the Rust coding experience while "unlocking the language's full potential," JetBrains said. Capabilities include real-time feedback, code suggestions, simplified toolchain management, and team collaboration.

Previously, JetBrains offered IntelliJ Rust, an open source Rust plugin for IntelliJ IDEs. But with RustRover, the company aims to provide a dedicated product with enhanced functionality for the growing Rust developer community. JetBrains also has been previewing a multi-language editor and IDE, called JetBrains Fleet, that supports Rust development...

RustRover will have some similarities to JetBrains' other language-specific IDEs including PyCharm for Python, GoLand for Go, and RubyMine for Ruby.
RustRover integrates with version control systems, supporting GitHub and Git.

Today Wired published an opinion piece by software engineer Zeb Larson headlined "ChatGPT Isn't Coming for Your Coding Job." Firing engineers and throwing AI at blocked feature development would probably result in disaster, followed by the rehiring of those engineers in short order.

More reasonable suggestions show that large language models (LLMs) can replace some of the duller work of engineering. They can offer autocomplete suggestions or methods to sort data, if they're prompted correctly. As an engineer, I can imagine using an LLM to "rubber duck" a problem, giving it prompts for potential solutions that I can review. It wouldn't replace conferring with another engineer, because LLMs still don't understand the actual requirements of a feature or the interconnections within a code base, but it would speed up those conversations by getting rid of the busy work...

[C]omputing history has already demonstrated that attempts to reduce the presence of developers or streamline their role only end up adding complexity to the work and making those workers even more necessary. If anything, ChatGPT stands to eliminate the duller work of coding much the same way that compilers ended the drudgery of having to work in binary, which would make it easier for developers to focus more on building out the actual architecture of their creations... We've introduced more and more complexity to computers in the hopes of making them so simple that they don't need to be programmed at all. Unsurprisingly, throwing complexity at complexity has only made it worse, and we're no closer to letting managers cut out the software engineers.

Last week IEEE Spectrum released its 10th annual rankings of the Top Programming Languages. It choose a top language for each of three categories: actively used among typical IEEE members and working software engineers, in demand by employers, or "in the zeitgeist".

The results? This year, Python doesn't just remain No. 1 in our general "Spectrum" ranking — which is weighted to reflect the interests of the typical IEEE member — but it widens its lead.

Python's increased dominance appears to be largely at the expense of smaller, more specialized, languages. It has become the jack-of-all-trades language — and the master of some, such as AI, where powerful and extensive libraries make it ubiquitous. And although Moore's Law is winding down for high-end computing, low-end microcontrollers are still benefiting from performance gains, which means there's now enough computing power available on a US $0.70 CPU to make Python a contender in embedded development, despite the overhead of an interpreter. Python also looks to be solidifying its position for the long term: Many children and teens now program their first game or blink their first LED using Python. They can then move seamlessly into more advanced domains, and even get a job, with the same language.

But Python alone does not make a career. In our "Jobs" ranking, it is SQL that shines at No. 1. Ironically though, you're very unlikely to get a job as a pure SQL programmer. Instead, employers love, love, love, seeing SQL skills in tandem with some other language such as Java or C++. With today's distributed architectures, a lot of business-critical data live in SQL databases...

But don't let Python and SQL's rankings fool you: Programming is still far from becoming a monoculture. Java and the various C-like languages outweigh Python in their combined popularity, especially for high-performance or resource-sensitive tasks where that interpreter overhead of Python's is still too costly (although there are a number of attempts to make Python more competitive on that front). And there are software ecologies that are resistant to being absorbed into Python for other reasons.
The article cites the statistical analysis/visualization language R, as well as Fortran and Cobol, as languages that are hard to port code from or that have accumulated large already-validated codebases. But Python also remains at #1 in their third "Trending" category — with Java in second there and on the general "IEEE Spectrum" list.

JavaScript appears below Python and Java on all three lists. Java is immediately below them on the Trending and "Jobs" list, but two positions further down on the general "Spectrum" list (below C++ and C).

The metrics used for the calculation include the number of hits on Google, recent questions on Stack Overflow, tags on Discord, mentions in IEEE's library of journal articles and its CareerBuilder job site, and language use in starred GitHub repositories and number of new programming books.

Business Insider reports on "a soaring number of Gen Zers who has decided to skip college altogether.

"Four million fewer teenagers enrolled at a college in 2022 than in 2012." For many, the price tag has simply grown too exorbitant to justify the cost. From 2010 to 2022, college tuition rose an average of 12% a year, while overall inflation only increased an average of 2.6% each year. Today it costs at least $104,108 on average to attend four years of public university — and $223,360 for a private university.

At the same time, the salaries students can expect to earn after graduation haven't kept up with the cost of college. A 2019 report from the Pew Research Center found that earnings for young college-educated workers had remained mostly flat over the past 50 years. Four years after graduating, according to recent data from the Higher Education Authority, a third of students earn less than $40,000 — lower than the average salary of $44,356 that workers with only a high-school diploma earn. Factor in the average student debt of $33,500 that college graduates owe after they leave school, and many graduates will spend years catching up with their degree-less counterparts. This student-debt-driven financial hole is leaving more young graduates with a lower net worth than previous generations.

The widening gap between the value and the cost of college has started to shift Gen Z's attitude toward higher education. A 2022 survey by Morning Consult found that 41% of Gen Zers said they "tend to trust US colleges and universities," the lowest percentage of any generation. It's a significant shift from when millennials were in their shoes a decade ago: A 2014 Pew Research survey found that 63% of millennials valued a college education or planned to get one. And of those who graduated, 41% of that cohort considered their schooling "very useful" in readying them to enter the workforce — that's compared to 45% of Gen Xers and 47% of boomers who felt the same...

The focus now, especially in the midst of so much uncertainty in the economy, is on using college to prepare for a single, overriding goal: getting a good job.
The article argues this is transforming which classes get emphasized by both students and colleges. For example, in 2014 computer programming was only the 7th most popular major at U.C. Berkeley — but now it's #1. And the data science degree Berkeley created five years ago is now already its third most popular.

And meanwhile, "last year only 7% of Harvard freshmen planned to major in the humanities — down from 20% a decade earlier and almost 30% in the 1970s."

Thanks to long-time Slashdot reader yusing for sharing the article.