An anonymous reader quotes a report from the Wall Street Journal: On a recent evening, a trio of Ukrainian drones flew under the cover of darkness to a Russian position and decided among themselves exactly when to strike. The assault was an example of how Ukraine is using artificial intelligence to allow groups of drones to coordinate with each other to attack Russian positions, an innovative technology that heralds the future of battle. Military experts say the so-called swarm technology represents the next frontier for drone warfare because of its potential to allow tens or even thousands of drones -- or swarms -- to be deployed at once to overwhelm the defenses of a target, be that a city or an individual military asset.

Ukraine has conducted swarm attacks on the battlefield for much of the past year, according to a senior Ukrainian officer and the company that makes the software. The previously unreported attacks are the first known routine use of swarm technology in combat, analysts say, underscoring Ukraine's position at the vanguard of drone warfare. [...] The drones deployed in the recent Ukrainian attack used technology developed by local company Swarmer. Its software allows groups of drones to decide which one strikes first and adapt if, for instance, one runs out of battery, said Chief Executive Serhii Kupriienko. "You set the target and the drones do the rest," Kupriienko said. "They work together, they adapt."

Swarmer's technology was first deployed by Ukrainian forces to lay mines around a year ago. It has since been used to target Russian soldiers, equipment and infrastructure, according to the Ukrainian military officer. The officer said his drone unit had used Swarmer's technology more than a hundred times, and that other units also have UAVs equipped with the software. He typically uses the technology with three drones, but says others have deployed it with as many as eight. Kupriienko said the software has been tested with up to 25 drones. A common operation uses a reconnaissance drone and two other UAVs carrying small bombs to target a Russian trench, the officer said. An operator gives the drones a target zone to look for an enemy position and the command to engage when it is spotted. The reconnaissance drone maps the route for the bombers to follow and the drones themselves then decide when, and which one, will release the bombs over the target.

An anonymous reader quotes a report from Reuters: OpenAI said on Tuesday it will acquire Statsig in an all-stock deal valuing the product testing startup at about $1.1 billion based on OpenAI's current valuation of $300 billion. The ChatGPT maker will also appoint Statsig's chief executive officer, Vijaye Raji, as OpenAI's tech chief of applications, in a push to build on its artificial intelligence products amid strong competition from rivals.

[...] In his role, Vijaye will head product engineering for ChatGPT and the company's coding agent, Codex, with responsibilities that span core systems and product lines including infrastructure, the company said. Statsig builds tools to help software developers test and flag new features. It raised $100 million in funding earlier this year. Once the acquisition is finalized, Statsig employees will work for OpenAI but will continue operating independently out of its Seattle office, OpenAI said. The move follows the acquisition of iPhone designer Jony Ive's startup, io Products, in a $6.5 billion deal to usher in "a new family of products" for the age of artificial general intelligence.

Taylor Otwell, inventor and maintainer of popular PHP framework Laravel, is warning against overly complex code and the risks of bypassing the framework. From a report: Developers are sometimes drawn to building "cathedrals of complexity that aren't so easy to change," he said, speaking in a podcast for maintainable.fm, a series produced by Ruby on Rails consultancy Planet Argon.

Software, he said, should be "simple and disposable and easy to change." Some problems are genuinely complex, but in general, if a developer finds a "clever solution" which goes beyond the standard documented way in a framework such as Laravel or Ruby on Rails, "that would be like a smell."

A code smell -- for the uninitiated in the The Reg readership -- is a term developers use for code that works but may cause problems at a later date. Otwell described himself as a "pretty average programmer" but reckons many others are the same, solving basic problems as quickly and efficiently as they can.

An anonymous reader shares a report: If you're sharing an ad-free YouTube Premium or YouTube Music account with friends or family who live outside of your home, you could lose your premium privileges. Customers who lose these can still watch YouTube or listen to music with ads -- but let's be real, it's not the same.

Multiple reports have shown people who have the service have been receiving notices that their premium service will be paused for 15 days due to violating a policy that's been in place since 2023. On its support page, YouTube says that an account manager can add up to five family members in a household to their Premium membership. But, the post says, "Family members sharing a YouTube family plan must live in the same household as the family manager."

Developer Hugo Tunius, writing in a blog post: Sideloading has been a hot topic for the last decade. Most recently, Google has announced further restrictions on the practice in Android. Many hundreds of comment threads have discussed these changes over the years. One point in particular is always made: "I should be able to run whatever code I want on hardware I own." I agree entirely with this point, but within the context of this discussion it's moot.

When Google restricts your ability to install certain applications they aren't constraining what you can do with the hardware you own, they are constraining what you can do using the software they provide with said hardware. It's through this control of the operating system that Google is exerting control, not at the hardware layer. You often don't have full access to the hardware either and building new operating systems to run on mobile hardware is impossible, or at least much harder than it should be. This is a separate, and I think more fruitful, point to make. Apple is a better case study than Google here. Apple's success with iOS partially derives from the tight integration of hardware and software. An iPhone without iOS is a very different product to what we understand an iPhone to be. Forcing Apple to change core tenets of iOS by legislative means would undermine what made the iPhone successful.

College students have integrated generative AI into their academic routines at an unprecedented scale as 85% report usage for coursework in the past year, according to new Inside Higher Ed survey data. The majority employ AI tools for brainstorming ideas, seeking tutoring assistance, and exam preparation rather than wholesale academic outsourcing. Only 25% admitted using AI to complete assignments entirely, while 19% generated full essays.

Students overwhelmingly reject institutional policing approaches, with 53% favoring education on ethical AI use over detection software deployment. Despite widespread adoption, 35% of respondents report no change in their perception of college value, while 23% view their degrees as more valuable in the AI era.

Mastodon says it cannot comply with Mississippi's new age verification law because its decentralized software does not support age checks and the nonprofit lacks resources to enforce them. "The social nonprofit explains that Mastodon doesn't track its users, which makes it difficult to enforce such legislation," reports TechCrunch. "Nor does it want to use IP address-based blocks, as those would unfairly impact people who were traveling, it says." From the report: The statement follows a lively back-and-forth conversation earlier this week between Mastodon founder and CEO Eugen Rochko and Bluesky board member and journalist Mike Masnick. In the conversation, published on their respective social networks, Rochko claimed, "there is nobody that can decide for the fediverse to block Mississippi." (The Fediverse is the decentralized social network that includes Mastodon and other services, and is powered by the ActivityPub protocol.) "And this is why real decentralization matters," said Rochko.

Masnick pushed back, questioning why Mastodon's individual servers, like the one Rochko runs at mastodon.social, would not also be subject to the same $10,000 per user fines for noncompliance with the law. On Friday, however, the nonprofit shared a statement with TechCrunch to clarify its position, saying that while Mastodon's own servers specify a minimum age of 16 to sign up for its services, it does not "have the means to apply age verification" to its services. That is, the Mastodon software doesn't support it. The Mastodon 4.4 release in July 2025 added the ability to specify a minimum age for sign-up and other legal features for handling terms of service, partly in response to increased regulation around these areas. The new feature allows server administrators to check users' ages during sign-up, but the age-check data is not stored. That means individual server owners have to decide for themselves if they believe an age verification component is a necessary addition.

The nonprofit says Mastodon is currently unable to provide "direct or operational assistance" to the broader set of Mastodon server operators. Instead, it encourages owners of Mastodon and other Fediverse servers to make use of resources available online, such as the IFTAS library, which provides trust and safety support for volunteer social network moderators. The nonprofit also advises server admins to observe the laws of the jurisdictions where they are located and operate. Mastodon notes that it's "not tracking, or able to comment on, the policies and operations of individual servers that run Mastodon." Bluesky echoed those comments in a blog post last Friday, saying the company doesn't have the resources to make the substantial technical changes this type of law would require.

Vivaldi CEO Jon von Tetzchner has doubled down on his company's refusal to integrate generative AI into its browser, arguing that embedding AI in browsing dehumanizes the web, funnels traffic away from publishers, and primarily serves to harvest user data. "Every startup is doing AI, and there is a push for AI inside products and services continuously," he told The Register in a phone interview. "It's not really focusing on what people need." The Register reports: On Thursday, Von Tetzchner published a blog post articulating his company's rejection of generative AI in the browser, reiterating concerns raised last year by Vivaldi software developer Julien Picalausa. [...] Von Tetzchner argues that relying on generative AI for browsing dehumanizes and impoverishes the web by diverting traffic away from publishers and onto chatbots. "We're taking a stand, choosing humans over hype, and we will not turn the joy of exploring into inactive spectatorship," he stated in his post. "Without exploration, the web becomes far less interesting. Our curiosity loses oxygen and the diversity of the web dies."

Von Tetzchner told The Register that almost all the users he hears from don't want AI in their browser. "I'm not so sure that applies to the general public, but I do think that actually most people are kind of wary of something that's always looking over your shoulder," he said. "And a lot of the systems as they're built today that's what they're doing. The reason why they're putting in the systems is to collect information." Von Tetzchner said that AI in browsers presents the same problem as social media algorithms that decide what people see based on collected data. Vivaldi, he said, wants users to control their own data and to make their own decisions about what they see. "We would like users to be in control," he said. "If people want to use AI as those services, it's easily accessible to them without building it into the browser. But I think the concept of building it into the browser is typically for the sake of collecting information. And that's not what we are about as a company, and we don't think that's what the web should be about."

Vivaldi is not against all uses of AI, and in fact uses it for in-browser translation. But these are premade models that don't rely on user data, von Tetzchner said. "It's not like we're saying AI is wrong in all cases," he said. "I think AI can be used in particular for things like research and the like. I think it has significant value in recognizing patterns and the like. But I think the way it is being used on the internet and for browsing is net negative."

Stellantis has put its fully developed Level 3 driver-assistance system on hold due to high costs, technical hurdles, and weak consumer demand. Reuters reports: As recently as February, Stellantis said its in-house system, which is part of the AutoDrive program, was ready for deployment and a key pillar of its strategy. The company said the system, which enables drivers to have their hands off the wheel and eyes off the road under certain conditions, would allow them to temporarily watch movies, catch up on emails, or read books. That Level 3 software was never launched, the company confirmed to Reuters. But it stopped short of saying that the program was canceled.

"What was unveiled in February 2025 was L3 technology for which there is currently limited market demand, so this has not been launched, but the technology is available and ready to be deployed," a Stellantis spokesperson said. The three sources, however, said that the program was put on ice and is not expected to be deployed. When asked how much time and money was lost on the initiative, Stellantis declined to say, responding that the work done on AutoDrive will help support its future versions. [...] Stellantis said it is leaning on aiMotive, a tech startup it acquired in 2022, to deliver the next generation of the AutoDrive program. Stellantis declined to say when that program would be ready for market or if it would include Level 3 capability.

Japan has launched its first entirely homegrown quantum computer, built with domestic superconducting qubits and components, and running on the country's own open-source software toolchain, OQTOPUS. "The system is now ready to take on workloads from its base at the University of Osaka's Center for Quantum Information and Quantum Biology (QIQB)," reports LiveScience. From the report: The system uses a quantum chip with superconducting qubits -- quantum bits derived from metals that exhibit zero electrical resistance when cooled to temperatures close to absolute zero (minus 459.67 degrees Fahrenheit, or minus 273.15 degrees Celsius). The quantum processing unit (QPU) was developed at the Japanese research institute RIKEN. Other components that make up the "chandelier" -- the main body of the quantum computer -- include the chip package, delivered by Seiken, the magnetic shield, infrared filters, bandpass filters, a low-noise amplifier and various cables.

These are all housed in a dilution refrigerator (a specialized cryogenic device that cools the quantum computing components) to allow for those extremely low temperatures. It also comes alongside a pulse tube refrigerator (which again cools various components in use), controllers and a low-noise power source. OQTOPUS, meanwhile, is a collection of open-source tools that include everything required to run quantum programs. It includes the core engine and cloud module, as well as graphical user interface (GUI) elements, and is designed to be built on top of a QPU and quantum control hardware.

samleecole shares a report from 404 Media: An app developer has jailbroken Echelon exercise bikes to restore functionality that the company put behind a paywall last month, but copyright laws prevent him from being allowed to legally release it. Last month, Peloton competitor Echelon pushed a firmware update to its exercise equipment that forces its machines to connect to the company's servers in order to work properly. Echelon was popular in part because it was possible to connect Echelon bikes, treadmills, and rowing machines to free or cheap third-party apps and collect information like pedaling power, distance traveled, and other basic functionality that one might want from a piece of exercise equipment. With the new firmware update, the machines work only with constant internet access and getting anything beyond extremely basic functionality requires an Echelon subscription, which can cost hundreds of dollars a year.

App engineer Ricky Witherspoon, who makes an app called SyncSpin that used to work with Echelon bikes, told 404 Media that he successfully restored offline functionality to Echelon equipment and won the Fulu Foundation bounty. But he and the foundation said that he cannot open source or release it because doing so would run afoul of Section 1201 of the Digital Millennium Copyright Act, the wide-ranging copyright law that in part governs reverse engineering. There are various exemptions to Section 1201, but most of them allow for jailbreaks like the one Witherspoon developed to only be used for personal use. [...] "I don't feel like going down a legal rabbit hole, so for now it's just about spreading awareness that this is possible, and that there's another example of egregious behavior from a company like this [...] if one day releasing this was made legal, I would absolutely open source this. I can legally talk about how I did this to a certain degree, and if someone else wants to do this, they can open source it if they want to."

A widely used Node.js utility called fast-glob, relied on by thousands of projectsâ"including over 30 U.S. Department of Defense systems -- is maintained solely by a Russian developer linked to Yandex. While there's no evidence of malicious activity, cybersecurity experts warn that the lack of oversight in such critical open-source projects leaves them vulnerable to potential exploitation by state-backed actors. The Register reports: US cybersecurity firm Hunted Labs reported the revelations on Wednesday. The utility in question is fast-glob, which is used to find files and folders that match specific patterns. Its maintainer goes by the handle "mrmlnc", and the Github profile associated with that handle identifies its owner as a Yandex developer named Denis Malinochkin living in a suburb of Moscow. A website associated with that handle also identifies its owner as the same person, as Hunted Labs pointed out.

Hunted Labs told us that it didn't speak to Malinochkin prior to publication of its report today, and that it found no ties between him and any threat actor. According to Hunted Labs, fast-glob is downloaded more than 79 million times a week and is currently used by more than 5,000 public projects in addition to the DoD systems and Node.js container images that include it. That's not to mention private projects that might use it, meaning that the actual number of at-risk projects could be far greater.

While fast-glob has no known CVEs, the utility has deep access to systems that use it, potentially giving Russia a number of attack vectors to exploit. Fast-glob could attack filesystems directly to expose and steal info, launch a DoS or glob-injection attack, include a kill switch to stop downstream software from functioning properly, or inject additional malware, a list Hunted Labs said is hardly exhaustive. [...] Hunted Labs cofounder Haden Smith told The Register that the ties are cause for concern. "Every piece of code written by Russians isn't automatically suspect, but popular packages with no external oversight are ripe for the taking by state or state-backed actors looking to further their aims," Smith told us in an email. "As a whole, the open source community should be paying more attention to this risk and mitigating it." [...]

Hunted Labs said that the simplest solution for the thousands of projects using fast-glob would be for Malinochkin to add additional maintainers and enhance project oversight, as the only other alternative would be for anyone using it to find a suitable replacement. "Open source software doesn't need a CVE to be dangerous," Hunted Labs said of the matter. "It only needs access, obscurity, and complacency," something we've noted before is an ongoing problem for open source projects. This serves as another powerful reminder that knowing who writes your code is just as critical as understanding what the code does," Hunted Labs concluded.

Canada's tech job market has collapsed from its pandemic-era boom, with postings down 19% from 2020 levels. Analysts say the decline was sharper than the overall job market and worsened after ChatGPT's debut in 2022 fueled AI-driven shifts in workforce demand. The Canadian Press reports: "The Canadian tech world remains stuck in a hiring freeze," said Brendon Bernard, Indeed's senior economist. "While both the tech job market and the overall job market have definitely cooled off from their 2022 peaks, the cool off has been much sharper in tech." He thinks the fall was likely caused by the market adjusting after a pandemic boom in hiring along with recent artificial intelligence advances that have reduced tech firms' interest in expanding their workforces.

"We went from this really hot job market with job postings through the roof to one where job postings really crashed, falling well below their pre-pandemic levels," Bernard said. However, he sees AI's recent boom as a "watershed moment." While much of the decline in tech job postings has been in software engineer roles, Indeed found hiring for AI-related jobs was still up compared to early 2020. In fact, machine learning engineers and roles that support AI infrastructure, such as data engineers and data centre technicians, were among the job titles with postings still above early-2020 levels.

At the same time, Indeed saw postings for senior and manager-level tech jobs drop sharply from their 2022 peak, but as of early 2025, they were still up five per cent from their pre-pandemic levels. Meanwhile, basic and junior tech titles were down 25 per cent. When it compared Canada's overall decline in tech job postings, Indeed found the country's decrease from pre-pandemic levels was somewhat milder than the retrenchment it has observed in the U.S., U.K., France and Germany. The U.S. fall amounted to 34 per cent, while in the U.K. it was 41 per cent. France saw a 38 per cent drop and Germany experienced a 29 per cent decrease. "All this just highlights is that this tech hiring freeze is a global tech hiring freeze," Bernard said.

BrianFagioli shares a report from NERDS.xyz: Hosting.com has acquired Rocket.net, bringing the fast-growing managed WordPress hosting company under its corporate umbrella. The move gives hosting.com a proven SaaS platform and a strong brand in WordPress hosting, while Rocket.net gains the capital and global reach of a much larger player. Financial details of the deal were not disclosed.

Rocket.net will continue to operate under its own name, but it is now part of hosting.com's family of brands. As part of the deal, Rocket.net founder and CEO Ben Gabler has been appointed Chief Product Officer at hosting.com, where he will lead product and software engineering across the entire company. [...] For hosting.com, the acquisition strengthens its ability to serve a wider range of customers. The company, founded in 2019, already operates more than 20 data centers, powers over 3 million websites, and serves 600,000 customers worldwide with a team of 900 employees.

The Rocket.net platform will now be rolled out across hosting.com's global footprint, including the USA, UK, Germany, and Singapore, as well as new regions such as Mexico, the UAE, and Australia. Both companies stress that their commitment to WordPress and open source will remain intact. Hosting.com already sponsors global WordCamps and encourages employees to contribute to the WordPress project, while Rocket.net has long positioned itself as a champion of the open web.

According to The Information, Apple executives have debated acquiring Mistral AI and Perplexity to strengthen its AI capabilities. MacRumors reports: Services chief Eddy Cue is apparently the most vocal advocate of a deal to buy AI firms to bolster the company's offerings. Cue previously supported propositions of Apple acquiring Netflix and Tesla, both of which Apple CEO Tim Cook turned down. Other executives such as software chief Craig Federighi have reportedly been reluctant to acquire AI startups, believing that Apple can build its own AI technology in-house. [...]

Apple is said to be hesitant to do a deal, which would likely cost billions of dollars. Apple has rarely spent more than a hundred million dollars on an acquisition, with Beats at $3 billion and Intel's wireless modem business at $1 billion. If a federal ruling ends the $20 billion deal between Apple and Alphabet that makes Google the default search engine on its devices, the company could be compelled to acquire an AI-powered search startup to fill that gap. For now, Apple apparently told bankers that it plans to continue with its strategy of focusing on smaller deals in AI.

The Document Foundation, which operates the popular open source productivity suite LibreOffice, is positioning the suite's newest release, v25.8, as a strategic asset for digital sovereignty, targeting governments and enterprises seeking independence from foreign software vendors and cloud infrastructure.

The Document Foundation released the update last week with zero telemetry architecture, full offline capability, and OpenPGP encryption for documents, directly addressing national security concerns about extraterritorial surveillance and software backdoors. The suite requires no internet access for any features and maintains complete transparency through open source code that governments can audit. Government bodies in Germany, Denmark, and France, alongside national ministries in Italy and Brazil, have deployed LibreOffice to meet GDPR compliance, national procurement laws, and IT localization mandates while eliminating unpredictable licensing costs from proprietary vendors.

"It's time to own your documents, own your infrastructure, and own your future," the foundation wrote in a blog post.

Entry-level workers in AI-exposed occupations have seen employment drop 13% since late 2022, according to Stanford University research analyzing millions of payroll records. The decline affects software developers, customer service representatives, and administrative assistants aged 22 to 25, while employment for older workers in the same roles continued growing.

The study [PDF], based on ADP payroll data covering tens of thousands of firms, found the steepest drops in occupations where AI automates tasks rather than augments human capabilities. Among software developers aged 22-25, employment fell nearly 20% from its late 2022 peak.

Workers in less AI-exposed fields like nursing saw employment growth across all age groups. The research controlled for firm-level effects and other economic factors, isolating AI's impact from broader trends like interest rate changes and pandemic-era hiring patterns.

Mark Tyson writes via Tom's Hardware: On this day 34 years ago, an unknown computer science student from Finland announced that a new free operating system project was "starting to get ready." Linus Benedict Torvalds elaborated by explaining that the OS was "just a hobby, [it] won't be big and professional like GNU." Of course, this was the first public outing for the colossal collaborative project that is now known as Linux. Above, you can see Torvalds' first posting regarding Linux to the comp.os.minix newsgroup. The now famously caustic, cantankerous, curmudgeon seemed relatively mild, meek, and malleable in this historic Linux milestone posting.

Torvalds asked the Minix community about their thoughts on a free new OS being prepared for Intel 386 and 486 clones. He explained that he'd been brewing the project since April (a few months prior), and asked for direction. Specifically, he sought input about other Minix users' likes and dislikes of that OS, in order to differentiate Linux. The now renowned developer then provided a rough summary of the development so far. Some features of Linux that Torvalds thought were important, or that he was particularly proud of, were then highlighted in the newsgroup posting. For example, the Linux chief mentioned his OS's multithreaded file system, and its absence of any Minix code. However, he humbly admitted the code as it stood was Intel x86 specific, and thus "is not portable."

Last but not least, Torvalds let it be known that version 0.01 of this free OS would be out in the coming month (September 1991). It was indeed released on September 17, 1991, but someone else decided on the OS name at the last minute. Apparently, Torvalds didn't want to release his new OS under the name of Linux, as it would be too egotistical, too self-aggrandizing. He preferred Freax, a portmanteau word formed from Free-and-X. However, one of Torvald's colleagues, who was the administrator for the project's FTP server, did not think that 'Freax' was an appealing name for the OS. So this co-worker went ahead and uploaded the OS as 'Linux' on that date in September, without asking Torvalds.

Nvidia has launched its Jetson AGX Thor robotics chip module, a $3,499 "robot brain" developer kit that starts shipping next month. CNBC reports: After a company uses the developer kit to prototype their robot, Nvidia will sell Thor T5000 modules that can be installed in production-ready robots. If a company needs more than 1,000 Thor chips, Nvidia will charge $2,999 per module. CEO Jensen Huang has said robotics is the company's largest growth opportunity outside of artificial intelligence, which has led to Nvidia's overall sales more than tripling in the past two years. "We do not build robots, we do not build cars, but we enable the whole industry with our infrastructure computers and the associated software," said Deepu Talla, Nvidia's vice president of robotics and edge AI, on a call with reporters Friday.

The Jetson Thor chips are based on a Blackwell graphics processor, which is Nvidia's current generation of technology used in its AI chips, as well as its chips for computer games. Nvidia said that its Jetson Thor chips are 7.5 times faster than its previous generation. That allows them to run generative AI models, including large language models and visual models that can interpret the world around them, which is essential for humanoid robots, Nvidia said. The Jetson Thor chips are equipped with 128GB of memory, which is essential for big AI models. [...] The company said its Jetson Thor chips can be used for self-driving cars as well, especially from Chinese brands. Nvidia calls its car chips Drive AGX, and while they are similar to its robotics chips, they run an operating system called Drive OS that's been tuned for automotive purposes.

More than 30,000 Python developers from around the world answered questions for the Python Software Foundation's annual survey — and PSF Fellow Michael Kennedy tells the Python community what they've learned in a new blog post. Some highlights: Most still use older Python versions despite benefits of newer releases... Many of us (15%) are running on the very latest released version of Python, but more likely than not, we're using a version a year old or older (83%). [Although less than 1% are using "Python 3.5 or lower".] The survey also indicates that many of us are using Docker and containers to execute our code, which makes this 83% or higher number even more surprising... You simply choose a newer runtime, and your code runs faster. CPython has been extremely good at backward compatibility. There's rarely significant effort involved in upgrading... [He calculates some cloud users are paying up to $420,000 and $5.6M more in compute costs.] If your company realizes you are burning an extra $0.4M-$5M a year because you haven't gotten around to spending the day it takes to upgrade, that'll be a tough conversation...

Rust is how we speed up Python now... The Python Language Summit of 2025 revealed that "Somewhere between one-quarter and one-third of all native code being uploaded to PyPI for new projects uses Rust", indicating that "people are choosing to start new projects using Rust". Looking into the survey results, we see that Rust usage grew from 27% to 33% for binary extensions to Python packages... [The blog post later advises Python developers to learn to read basic Rust, "not to replace Python, but to complement it," since Rust "is becoming increasingly important in the most significant portions of the Python ecosystem."]

PostgreSQL is the king of Python databases, and only it's growing, going from 43% to 49%. That's +14% year over year, which is remarkable for a 28-year-old open-source project... [E]very single database in the top six grew in usage year over year. This is likely another indicator that web development itself is growing again, as discussed above...

[N]early half of the respondents (49%) plan to try AI coding agents in the coming year. Program managers at major tech companies have stated that they almost cannot hire developers who don't embrace agentic AI. The productive delta between those using it and those who avoid it is simply too great (estimated at about 30% greater productivity with AI).
It's their eighth annual survey (conducted in collaboration with JetBrains last October and November). But even though Python is 34 years old, it's still evolving. "In just the past few months, we have seen two new high-performance typing tools released," notes the blog post. (The ty and Pyrefly typecheckers — both written in Rust.) And Python 3.14 will be the first version of Python to completely support free-threaded Python... Just last week, the steering council and core developers officially accepted this as a permanent part of the language and runtime... Developers and data scientists will have to think more carefully about threaded code with locks, race conditions, and the performance benefits that come with it. Package maintainers, especially those with native code extensions, may have to rewrite some of their code to support free-threaded Python so they themselves do not enter race conditions and deadlocks.

There is a massive upside to this as well. I'm currently writing this on the cheapest Apple Mac Mini M4. This computer comes with 10 CPU cores. That means until this change manifests in Python, the maximum performance I can get out of a single Python process is 10% of what my machine is actually capable of. Once free-threaded Python is fully part of the ecosystem, I should get much closer to maximum capacity with a standard Python program using threading and the async and await keywords.
Some other notable findings from the survey:

• Data science is now over half of all Python. This year, 51% of all surveyed Python developers are involved in data exploration and processing, with pandas and NumPy being the tools most commonly used for this.

• Exactly 50% of respondents have less than two years of professional coding experience! And 39% have less than two years of experience with Python (even in hobbyist or educational settings)...

• "The survey tells us that one-third of devs contributed to open source. This manifests primarily as code and documentation/tutorial additions."