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Microsoft is preparing to release a private preview of Windows changes that will move antivirus and endpoint detection and response apps out of the Windows kernel, nearly a year after a faulty CrowdStrike update crashed 8.5 million Windows-based machines worldwide. The new Windows endpoint security platform is being developed in cooperation with CrowdStrike, Bitdefender, ESET, Trend Micro, and other security vendors. David Weston, Microsoft's vice president of enterprise and OS security, said dozens of partners have submitted papers detailing design requirements, some hundreds of pages long. The private preview will allow security vendors to request changes before the platform is finalized.

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Accenture is facing mounting challenges as AI threatens to disrupt the consulting industry the company helped build. The Dublin-based firm, which made its fortune advising clients on adapting to new technologies from the internet to cloud computing, now confronts the same predicament as generative AI reshapes business operations. The company's new generative AI contracts slowed to $100 million in the most recent quarter, down from $200 million per quarter last year. Technology partners including Microsoft and SAP are increasingly integrating AI directly into their offerings, allowing systems to work immediately without extensive consulting support. Newcomers like Palantir are embedding their own engineers with customers, enabling clients to bypass traditional consultants. Between 2015 and 2024, Accenture generated a 370% total return by helping companies navigate technological transitions. The firm reached a $250 billion valuation in February before losing $60 billion in market value. CEO Julie Sweet insists that the company is reorganizing around "reinvention services." A recent survey found 42% of companies abandoned most AI initiatives, up from 17% a year ago.

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Researchers at the University of Pennsylvania's Wharton School found that people who used large language models to research topics demonstrated weaker understanding and produced less original insights compared to those using Google searches. The study, involving more than 4,500 participants across four experiments, showed LLM users spent less time researching, exerted less effort, and wrote shorter, less detailed responses. In the first experiment, over 1,100 participants researched vegetable gardening using either Google or ChatGPT. Google users wrote longer responses with more unique phrasing and factual references. A second experiment with nearly 2,000 participants presented identical gardening information either as an AI summary or across mock webpages, with Google users again engaging more deeply and retaining more information.

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Over on the Collabora blog, Tathagata Roy has an update on the progress of targeting the Coccinelle tool for matching and transforming source code to Rust. The Coccinelle for Rust project, which we covered in a 2024 talk by Roy at Kangrejos, is adding the ability to transform Rust programs and the goal is "to bring Coccinelle For Rust at par with Coccinelle For C in terms of basic functionalities". There is still work to be done to get there, but progress is being made in various areas. Computational Tree Logic (CTL) is the heart of Coccinelle, which takes semantic patches and generalizes them over Rust files. Prior to using this engine, CfR used an ad-hoc method for matching patterns of code. This engine is the same as the one used for Coccinelle for C, with a few minor changes. Most of the changes were idiomatic but to the same effect. More information on the engine and its language (CTL-VW) can be found in the POPL Paper. With a standard engine, each step of the matching process can be logged, allowing us to learn and reuse the same design patterns from Coccinelle for C, including critical test cases.

Kernel development and machine learning seem like vastly different areas of endeavor; there are not, yet, stories circulating about the vibe-coding of new memory-management algorithms. There may well be places where machine learning (and large language models — LLMs — in particular) prove to be helpful on the edges of the kernel project, though. At the 2025 North-American edition of the Open Source Summit, Sasha Levin presented some of the work he has done putting LLMs to work to make the kernel better

CareerBuilder + Monster, which once dominated the online recruitment industry, filed for Chapter 11 bankruptcy protection this week and said it plans to sell its businesses. From a report: Created through the September merger of CareerBuilder and Monster, the Chicago-based company said it agreed to sell its job board operations, its most recognizable business, to JobGet, which has an app for so-called gig workers.

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Security updates have been issued by Debian (firefox-esr and libxml2), Fedora (firefox, libtpms, and tigervnc), Mageia (chromium-browser-stable and nss & firefox), Oracle (emacs, iputils, kernel, krb5, libarchive, mod_proxy_cluster, pam, perl-File-Find-Rule, perl-YAML-LibYAML, and qt5-qtbase), Red Hat (opentelemetry-collector, osbuild-composer, and weldr-client), SUSE (clamav, firefox, go1.24-openssl, and helm), and Ubuntu (libarchive, linux-azure, linux-azure-5.4, linux-azure-fips, linux-fips, linux-azure-nvidia, linux-oracle, linux-oracle-6.8, linux-raspi, linux-raspi-realtime, linux-xilinx-zynqmp, and python-urllib3).

Salesforce chief executive Marc Benioff said Thursday his company has automated a significant chunk of work with AI, another example of a firm touting labor-replacing potential of the emerging technology. From a report: "AI is doing 30% to 50% of the work at Salesforce now," Benioff said in an interview, pointing at job functions including software engineering and customer service. [...] Salesforce has said that use of AI internally has allowed it to hire fewer people. The San Francisco-based software company is focused on selling an AI product that promises to handle tasks such as customer service without human supervision. Benioff said that tool has reached about 93% accuracy, including for large customers such as Walt Disney.

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An anonymous reader quotes a report from the Associated Press: The head of the federal government agency that oversees Fannie Mae and Freddie Mac wants the mortgage giants to consider accepting a homebuyer's cryptocurrency holdings in their criteria for buying mortgages from banks. William Pulte, director of the Federal Housing Finance Agency, which oversees Fannie and Freddie, ordered the agencies Wednesday to prepare a proposal for consideration of crypto as an asset for reserves when they assess risks in single-family home loans. Pulte also instructed the agencies that their mortgage risk assessments should not require cryptocurrency assets to be converted to U.S. dollars. And only crypto assets that "can be evidenced and stored on a U.S.-regulated centralized exchange subject to all applicable laws" are to be considered by the agencies in their proposal, Pulte wrote in a written order, effective immediately. Pulte was sworn in as the head of FHFA in March. Public records show that as of January 2025, Pulte's spouse owned between $500,000 and $1 million of bitcoin and a similar amount of Solana's SOL token. [...] The policy change is meant to encourage banks to expand how they gauge borrowers' creditworthiness, in hopes that more aspiring homebuyers can qualify for a home loan. It also recognizes that cryptocurrencies have grown in popularity as an alternative to traditional investments, such as bonds and stocks. The agencies have to come up with their proposals "as soon as reasonably practical," according to the order. "This is a big win for advocates of cryptocurrencies who want crypto to be treated the same way as other assets are," said Daryl Fairweather, chief economist at Redfin. Currently, stock investments are treated as qualifying assets that count toward reserves that banks want borrowers to have. But assets that are more volatile, like individual stocks or crypto, may be discounted by lenders, Fairweather noted. "As long as lenders are appropriately discounting crypto based on volatility, it's fine that crypto investments count toward reserves," she said. Danielle Hale, chief economist at Realtor.com, added: "If Fannie and Freddie are going to accept cryptocurrency as collateral, that's a strong incentive for banks to shift their practices. Because people who might otherwise have to sell cryptocurrency to qualify -- and maybe that's a deal-breaker for them now -- under this new policy, they can qualify. It sort of expands the potential pool of eligible buyers."

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Italian utility A2A and French tech firm Qarnot have launched a data center in Brescia, Italy, that captures waste heat from servers and redirects it to a local district heating system. "The Brescia project is expected to meet the heating needs of more than 1,350 apartments and cut carbon dioxide emissions by 3,500 tons annually -- equivalent to the absorption capacity of over 22,000 trees," reports Reuters. From the report: "The rapid spread of data centers and the growing electrification of consumption require major investments in power grids. But data centers also offer a remarkable opportunity for cities with district heating networks," A2A CEO Renato Mazzoncini said at the inauguration. "In (the Italian region of) Lombardy alone, with projects already in the pipeline, we estimate that 150,000 apartments could be heated this way," Mazzoncini added.

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