An anonymous reader quotes a report from Ars Technica: Earlier this month, EA announced that players in its Battlefield 6 open beta on PC would have to enable Secure Boot in their Windows OS and BIOS settings. That decision proved controversial among players who weren't able to get the finicky low-level security setting working on their machines and others who were unwilling to allow EA's anti-cheat tools to once again have kernel-level access to their systems. Now, Battlefield 6 technical director Christian Buhl is defending that requirement as something of a necessary evil to combat cheaters, even as he apologizes to any potential players that it has kept away.

"The fact is I wish we didn't have to do things like Secure Boot," Buhl said in an interview with Eurogamer. "It does prevent some players from playing the game. Some people's PCs can't handle it and they can't play: that really sucks. I wish everyone could play the game with low friction and not have to do these sorts of things." Throughout the interview, Buhl admits that even requiring Secure Boot won't completely eradicate cheating in Battlefield 6 long term. Even so, he offered that the Javelin anti-cheat tools enabled by Secure Boot's low-level system access were "some of the strongest tools in our toolbox to stop cheating. Again, nothing makes cheating impossible, but enabling Secure Boot and having kernel-level access makes it so much harder to cheat and so much easier for us to find and stop cheating." [...]

Despite all these justifications for the Secure Boot requirement on EA's part, it hasn't been hard to find people complaining about what they see as an onerous barrier to playing an online shooter. A quick Reddit search turns up dozens of posts complaining about the difficulty of getting Secure Boot on certain PC configurations or expressing discomfort about installing what they consider a "malware rootkit" on their machine. "I want to play this beta but A) I'm worried about bricking my PC. B) I'm worried about giving EA complete access to my machine," one representative Redditor wrote.

An anonymous reader quotes a report from CBS News: They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their hiding spots. It's the latest effort by the South Florida Water Management District to eliminate as many pythons as possible from the Everglades, where they are decimating native species with their voracious appetites. In Everglades National Park, officials say the snakes have eliminated 95% of small mammals as well as thousands of birds. "Removing them is fairly simple. It's detection. We're having a really hard time finding them," said Mike Kirkland, lead invasive animal biologist for the water district. "They're so well camouflaged in the field."

The water district and University of Florida researchers deployed 120 robot rabbits this summer as an experiment. Previously, there was an effort to use live rabbits as snake lures but that became too expensive and time-consuming, Kirkland said. The robots are simple toy rabbits, but retrofitted to emit heat, a smell and to make natural movements to appear like any other regular rabbit. "They look like a real rabbit," Kirkland said. They are solar powered and can be switched on and off remotely. They are placed in small pens monitored by a video camera that sends out a signal when a python is nearby. "Then I can deploy one of our many contractors to go out and remove the python," Kirkland said. The total cost per robot rabbit is about $4,000, financed by the water district, he added.

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.

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."

Davis Lu, a former Eaton Corporation developer, has been sentenced to four years in prison for sabotaging his ex-employer's Windows network with malware and a custom kill switch that locked out thousands of employees once his account was disabled. The attack caused significant operational disruption and financial losses, with Lu also attempting to cover his tracks by deleting data and researching privilege escalation techniques. BleepingComputer reports: After a corporate restructuring and subsequent demotion in 2018, the DOJ says that Lu retaliated by embedding malicious code throughout the company's Windows production environment. The malicious code included an infinite Java thread loop designed to overwhelm servers and crash production systems. Lu also created a kill switch named "IsDLEnabledinAD" ("Is Davis Lu enabled in Active Directory") that would automatically lock all users out of their accounts if his account was disabled in Active Directory. When his employment was terminated on September 9, 2019, and his account disabled, the kill switch activated, causing thousands of users to be locked out of their systems.

"The defendant breached his employer's trust by using his access and technical knowledge to sabotage company networks, wreaking havoc and causing hundreds of thousands of dollars in losses for a U.S. company," said Acting Assistant Attorney General Matthew R. Galeotti. When he was instructed to return his laptop, Lu reportedly deleted encrypted data from his device. Investigators later discovered search queries on the device researching how to elevate privileges, hide processes, and quickly delete files. Lu was found guilty earlier this year of intentionally causing damage to protected computers. After his four-year sentence, Lu will also serve three years of supervised release following his prison term.

Last month, Python "reached the highest ranking a programming language ever had in the TIOBE index," according to TIOBE CEO Paul Jansen.

"We thought Python couldn't grow any further, but AI code assistants let Python take yet another step forward." According to recent studies of Stanford University (Yegor Denisov-Blanch), AI code assistants such as Microsoft Copilot, Cursor or Google Gemini Code Assist are 20% more effective if used for popular programming languages. The reason for this is obvious: there is more code for these languages available to train the underlying models. This trend is visible in the TIOBE index as well, where we see a consolidation of languages at the top. Why would you start to learn a new obscure language for which no AI assistance is available? This is the modern way of saying that you don't want to learn a new language that is hardly documented and/or has too few libraries that can help you.
TIOBE's "Programming Community Index" attempts to calculate the popularity of languages using the number of skilled engineers, courses, and third-party vendors. It nows gives Python a 26.14% rating, which TechRepublic notes "is well ahead of the next two programming languages on this month's leaderboard: C++ is at 9.18% and C is 9.03%." But the first top six languages haven't changed since last year...

1. Python
2. C++
3. C
4. Java
5. C#
6. JavaScript

Since August of 2024 SQL has dropped from its #7 rank down to #12 (meaning Visual Basic and Go each rise up one rank from their position a year ago, into the #7 and #8 positions).

In the last year Perl has risen from the #25 position to #9, beating out Delphi/Oracle Pascal at #10, and Fortran at #11 (last year's #10). TIOBE CEO Jansen "told TechRepublic in an email that many people were asking why Perl was becoming more popular, but he didn't have a definitive answer. He said he double-checked the underlying data and found the increase to be accurate, though the reason for the shift remains unclear."

DeepSeek's development of its next-gen R2 AI model was severely delayed after months of failed training attempts on Huawei's Ascend chips, which suffered from unstable hardware, slow interconnects, and immature software. The Register reports: Following the industry rattling launch of DeepSeek R1 earlier this year, the Chinese AI darling faced pressure from government authorities to train the model's successor on Huawei's homegrown silicon, three unnamed sources have told the Financial Times. But after months of work and the help of an entire team of Huawei engineers, unstable chips, glacial interconnects, and immature software proved insurmountable for DeepSeek, which was apparently unable to complete a single successful training run. The failure, along with challenges with data labeling, ultimately delayed the release of DeepSeek R2 as the company started anew, using Nvidia's H20 GPUs instead. The company has reportedly relegated Huawei's Ascend accelerators to inference duty.

GitHub CEO Thomas Dohmke announced Monday he will step down to pursue entrepreneurial endeavors, with Microsoft restructuring the subsidiary's leadership rather than appointing a direct replacement.

Microsoft developer division head Julia Liuson will oversee GitHub's revenue, engineering and support operations, while chief product officer Mario Rodriguez will report to Microsoft AI platform VP Asha Sharma.

Since 2023 the Python Software Foundation has had a Security Developer-in-Residence (sponsored by the Open Source Security Foundation's vulnerability-finding "Alpha-Omega" project). And he's just published a new 11-page white paper about open source's "phantom dependencies" problem — suggesting a way to solve it.

"Phantom" dependencies aren't tracked with packaging metadata, manifests, or lock files, which makes them "not discoverable" by tools like vulnerability scanners or compliance and policy tools. So Python security developer-in-residence Seth Larson authored a recently-accepted Python Enhancement Proposal offering an easy way for packages to provide metadata through Software Bill-of-Materials (SBOMs). From the whitepaper: Python Enhancement Proposal 770 is backwards compatible and can be enabled by default by tools, meaning most projects won't need to manually opt in to begin generating valid PEP 770 SBOM metadata. Python is not the only software package ecosystem affected by the "Phantom Dependency" problem. The approach using SBOMs for metadata can be remixed and adopted by other packaging ecosystems looking to record ecosystem-agnostic software metadata...

Within Endor Labs' [2023 dependencies] report, Python is named as one of the most affected packaging ecosystems by the "Phantom Dependency" problem. There are multiple reasons that Python is particularly affected:

- There are many methods for interfacing Python with non-Python software, such as through the C-API or FFI. Python can "wrap" and expose an easy-to-use Python API for software written in other languages like C, C++, Rust, Fortran, Web Assembly, and more.

- Python is the premier language for scientific computing and artificial intelligence, meaning many high-performance libraries written in system languages need to be accessed from Python code.

- Finally, Python packages have a distribution type called a "wheel", which is essentially a zip file that is "installed" by being unzipped into a directory, meaning there is no compilation step allowed during installation. This is great for being able to inspect a package before installation, but it means that all compiled languages need to be pre-compiled into binaries before installation...


When designing a new package metadata standard, one of the top concerns is reducing the amount of effort required from the mostly volunteer maintainers of packaging tools and the thousands of projects being published to the Python Package Index... By defining PEP 770 SBOM metadata as using a directory of files, rather than a new metadata field, we were able to side-step all the implementation pain...

We'll be working to submit issues on popular open source SBOM and vulnerability scanning tools, and gradually, Phantom Dependencies will become less of an issue for the Python package ecosystem.
The white paper "details the approach, challenges, and insights into the creation and acceptance of PEP 770 and adopting Software Bill-of-Materials (SBOMs) to improve the measurability of Python packages," explains an announcement from the Python Software Foundation. And the white paper ends with a helpful note.

"Having spoken to other open source packaging ecosystem maintainers, we have come to learn that other ecosystems have similar issues with Phantom Dependencies. We welcome other packaging ecosystems to adopt Python's approach with PEP 770 and are willing to provide guidance on the implementation."

Thursday saw the release of Rust 1.89.0 But this week the Rust Foundation also released its second comprehensive annual technology report.

A Rust Foundation announcement shares some highlights: - Trusted Publishing [GitHub Actions authentication using cryptographically signed tokens] fully launched on crates.io, enhancing supply chain security and streamlining workflows for maintainers.

- Major progress on crate signing infrastructure using The Update Framework (TUF), including three full repository implementations and stakeholder consensus.

- Integration of the Ferrocene Language Specification (FLS) into the Rust Project, marking a critical step toward a formal Rust language specification [and "laying the groundwork for broader safety certification and formal tooling."]

- 75% reduction in CI infrastructure costs while maintaining contributor workflow stability. ["All Rust repositories are now managed through Infrastructure-as-Code, improving maintainability and security."]

- Expansion of the Safety-Critical Rust Consortium, with multiple international meetings and advances on coding guidelines aligned with safety standards like MISRA. ["The consortium is developing practical coding guidelines, aligned tooling, and reference materials to support regulated industries — including automotive, aerospace, and medical devices — adopting Rust."]

- Direct engagement with ISO C++ standards bodies and collaborative Rust-C++ exploration... The Foundation finalized its strategic roadmap, participated in ISO WG21 meetings, and initiated cross-language tooling and documentation planning. These efforts aim to unlock Rust adoption across legacy C++ environments without sacrificing safety.
The Rust Foundation also acknowledges continued funding from OpenSSF's Alpha-Omega Project and "generous infrastructure donations from organizations like AWS, GitHub, and Mullvad VPN" to the Foundation's Security Initiative, which enabled advances like including GitHub Secret Scanning and automated incident response to "Trusted Publishing" and the integration of vulnerability-surfacing capabilities into crates.io.

There was another announcement this week. In November AWS and the Rust Foundation crowdsourced "an effort to verify the Rust standard library" — and it's now resulted in a new formal verification tool called "Efficient SMT-based Context-Bounded Model Checker" (or ESBMCESBMC) This winning contribution adds ESBMC — a state-of-the-art bounded model checker — to the suite of tools used to analyze and verify Rust's standard library. By integrating through Goto-Transcoder, they enabled ESBMC to operate seamlessly in the Rust verification workflow, significantly expanding the scope and flexibility of verification efforts...

This achievement builds on years of ongoing collaboration across the Rust and formal verification communities... The collaboration has since expanded. In addition to verifying the Rust standard library, the team is exploring the use of formal methods to validate automated C-to-Rust translations, with support from AWS. This direction, highlighted by AWS Senior Principal Scientist Baris Coskun and celebrated by the ESBMC team in a recent LinkedIn post, represents an exciting new frontier for Rust safety and verification tooling.

Last month Microsoft pledged $4 billion (in cash and AI/cloud technology) to "advance" AI education in K-12 schools, community and technical colleges, and nonprofits (according to a blog post by Microsoft President Brad Smith). But in the launch event video, Smith also says it's time to "switch hats" from coding to AI, adding that "the last 12 years have been about the Hour of Code, but the future involves the Hour of AI."

Long-time Slashdot reader theodp writes: This sets the stage for Code.org CEO Hadi Partovi's announcement that his tech-backed nonprofit's [annual educational event] Hour of Code is being renamed to the Hour of AI... Explaining the pivot, Partovi says: "Computer science for the last 50 years has had a focal point around coding that's been — sort of like you learn computer science so that you create code. There's other things you learn, like data science and algorithms and cybersecurity, but the focal point has been coding.

"And we're now in a world where the focal point of computer science is shifting to AI... We all know that AI can write much of the code. You don't need to worry about where did the semicolons go, or did I close the parentheses or whatnot. The busy work of computer science is going to be done by the computer itself.

"The creativity, the thinking, the systems design, the engineering, the algorithm planning, the security concerns, privacy concerns, ethical concerns — those parts of computer science are going to be what remains with a focal point around AI. And what's going to be important is to make sure in education we give students the tools so they don't just become passive users of AI, but so that they learn how AI works."

Speaking to Microsoft's Smith, Partovi vows to redouble the nonprofit's policy work to "make this [AI literacy] a high school graduation requirement so that no student graduates school without at least a basic understanding of what's going to be part of the new liberal arts background [...] As you showed with your hat, we are renaming the Hour of Code to an Hour of AI."

Started in 1984, it's been described as the internet's longest-running contest. And yesterday 2025's International Obfuscated C Code Contest concluded — with 23 new winners announced in a special four-and-a-half-hour livestreamed ceremony!

Programmers submitted their funniest programs showcasing C's unusual/obscure subtleties while having some fun. (And demonstrating the importance of clarity and style by setting some very bad examples...) Among this year's winners were an OpenRISC 32-bit CPU emulator, a virtual machine capable of running Doom, and some kind of salmon recipe that makes clever use of C's U"string" literal prefix...

But yes, every entry's source code is ridiculously obfuscated. ("Before you set off on your adventure to decode this program's logic, make sure you have enough food, ammo, clothes, oxen, and programming supplies," read the judge's remarks on the winner of this year's "diabolical logistics" prize. "You'll be driving for 2170 miles through a wild wilderness inspired by Oregon Trail...") And one entrant also struggled mightily in adapting a rough port of their program's old Atari 2600 version, but was never gonna give it up...

Thanks to long-time Slashdot reader achowe for bringing the news (who has submitted winning entries in four different decades, starting in 1991 and continuing through 2024)...

Including a 2004 award for the best abuse of the contest's guidelines. ("We are not exactly sure how many organisations will be upset with this entry, but we are considering starting an IOCCC standards body just to reign in the likes of Mr Howe....")

America's nonprofit College Board lets high school students take college-level classes — including a computer programming course that culminates with a 90-minute test. But students did better on questions about If-Then statements than they did on questions about arrays, according to the head of the program. Long-time Slashdot reader theodp explains: Students exhibited "strong performance on primitive types, Boolean expressions, and If statements; 44% of students earned 7-8 of these 8 points," says program head Trevor Packard. But students were challenged by "questions on Arrays, ArrayLists, and 2D Arrays; 17% of students earned 11-12 of these 12 points."

"The most challenging AP Computer Science A free-response question was #4, the 2D array number puzzle; 19% of students earned 8-9 of the 9 points possible."
You can see that question here. ("You will write the constructor and one method of the SumOrSameGame class... Array elements are initialized with random integers between 1 and 9, inclusive, each with an equal chance of being assigned to each element of puzzle...") Although to be fair, it was the last question on the test — appearing on page 16 — so maybe some students just didn't get to it.

theodp shares a sample Java solution and one in Excel VBA solution (which includes a visual presentation).

There's tests in 38 subjects — but CS and Statistics are the subjects where the highest number of students earned the test's lowest-possible score (1 out of 5). That end of the graph also includes notoriously difficult subjects like Latin, Japanese Language, and Physics.

There's also a table showing scores for the last 23 years, with fewer than 67% of students achieving a passing grade (3+) for the first 11 years. But in 2013 and 2017, more than 67% of students achieved that passsing grade, and the percentage has stayed above that line ever since (except for 2021), vascillating between 67% and 70.4%.

2018: 67.8%
2019: 69.6%
2020: 70.4%
2021: 65.1%
2022: 67.6%
2023: 68.0%
2024: 67.2%
2025: 67.0%

Microsoft's AI coding assistant "GitHub Copilot" has now had 20 million "all-time users," a GitHub spokesperson told TechCrunch. That means 5 million people have tried out GitHub Copilot for the first time in the last three months — the company reported in April the tool had reached 15 million users.

Microsoft and GitHub don't report how many of these 20 million people have continued to use the AI coding tool on a monthly or daily basis — though those metrics are likely far lower.

Microsoft also reported that GitHub Copilot, which is among the most popular AI coding tools offered today, is used by 90% of the Fortune 100. The product's growth among enterprise customers has also grown about 75% compared to last quarter, according to the company... In 2024, Nadella said GitHub Copilot was a larger business than all of GitHub was when Microsoft acquired it in 2018. In the year since, it seems GitHub Copilot's growth rate has continued in a positive direction.

It's a cultural milestone. Fiverr just released an ad mocking vibe coding.

The video features what its description calls a "clueless entrepreneur" building an app to tell if an avocado is ripe — who soon ends up blissfully singing with an avocado to the tune of the cheesy 1987 song "Nothing's Gonna Stop Us Now." The avocado sings joyously of "a new app on the rise in a no-code world that's too good to be true" (rhyming that with "So close. Just not tested through...")

"Let them say we're crazy. I don't care about bugs!" the entrepreneur sings back. "Built you in a minute, now I'm so high off this buzz..."

But despite her singing to the overripe avocado that "I don't need a backend if I've got the spark!" and that they can "build this app together, vibe-coding forever. Nothing's going to stop us now!" — the build suddenly fails. (And it turns out that avocado really was overripe...) Fiverr then suggests viewers instead hire one of their experts for building their apps...

The art/design site Creative Bloq acknowledges Fiverr "flip-flopping between scepticism and pro-AI marketing." (They point out a Fiverr ad last November had ended with the tagline "Nobody cares that you use AI! They care about the results — for the best ones higher Fiverr experts who've mastered every digital skill including AI.") But the site calls this new ad "a step in the right direction towards mindful AI usage." Just like an avocado that looks perfect on the outside, once you inspect the insides, AI-generated code can be deceptively unripe.
Fiverr might be feeling the impact of vibecoding themselves. The freelancing web site saw the company's share price fall over 14% this week, with one Yahoo! Finance site saying this week's quarterly results revealed Fiverr's active buyers dropped 10.9% compared to last year — a decrease of 3.4 million buyers which "overshadowed a 9.8% increase in spending per buyer."

Even when issuing a buy recommendation, Seeking Alpha called it "a short-term rebound play, as the company faces longer-term risks from AI and active buyer churn."