Microsoft is offering buyouts to about 60,000 employees, or roughly a quarter of its workforce, as the company tries to control its head count while avoiding layoffs. The Redmond-based tech giant announced Monday morning that eligible employees at the vice president level and below in the U.S., Canada, India and the United Kingdom would receive a “voluntary exit offer” of a standard severance package, based on their location.

In a memo to employees, Microsoft Chief People Officer Amy Coleman said the move was building off the voluntary retirement program earlier this year, which was available to more than 8,700 U.S.-based employees, roughly one-third of whom took the offer. Since May 2025, Microsoft has been trying to reduce its corporate workforce, first through waves of mass layoffs and now through more creative buyout programs. The company laid off about 15,000 employees last year over the course of several months, affecting about 3,200 Washington-based workers.

The filing did not include a potential share price, the number of shares to be offered or a valuation for the whole company, all of which will be determined after Anthropic holds a “road show” with investors, prospective investors and its bankers. […] The company plans to spend at least $110 billion with Amazon for cloud services through April 2036 and another $120 billion with SpaceX through 2029. Anthropic also said it planned to spend $115 billion with Google and $45 billion with Microsoft, both through 2033, for computing infrastructure.

The filing said that the company recorded revenue growth of “1,368% year over year for the three months ended June 30, 2026.” The cost of renting servers and chips grew by 300% over the same period. Anthropic’s net loss for the first six months of 2026 was $80.7 billion. For the entirety of 2025, the company reported a $42 billion net loss.

Anthropic added that it expects its current cash and sales to be sufficient for the next 12 months but warned that future revenue growth depends on a number of important factors, including the cost of infrastructure. As a result, it said, “we may be required to seek additional financing sooner than we currently anticipate.” The company said it has raised about $141 billion of capital through the end of June and is sitting on $112.4 billion of cash.

r/opensource, Reddit’s primary “subreddit for everything open source related,” has banned all AI-assisted and AI-related projects.... As reported by The Verge, the subreddit’s October 24 post, titled “Your tokens aren’t valuable: No more AI,” features four new main rules: all projects must now be at least “1 year old,” have “multiple contributors,” be posted by someone who must “speak English,” and cannot be “made by” or “intended for” AI… [T]he ban on AI is simple; as the subreddit’s moderators explain, “AI, as it exists today, is incongruent to this Open Source community.” Unsurprisingly, this is the part that’s upset the majority of the users in the thread....

[T]he moderator who posted the new guidelines stated in a separate comment that the overwhelmingly negative response is due to “some guy on twitter claiming to be alternative news” who posted an “opinionated editorial pointing hundreds of people to the thread.” Given the timing of when the thread was posted, alongside the fact that the X post in question mentions “the Linux kernel,” they are presumably referring to this post by The Lunduke Journal. The moderator may be correct, as almost all of the top comments on the post are from users who have never posted in r/opensource before.

• r/TrueOpenSource
• r/OpenSourceWare
• r/ActuallyOpenSource

Official satellite data showed the rainforest lost 3,335 square kilometers (1,300 square miles) from Aug. 2025 through July 2026, the period used to calculate the annual rate…

During Jair Bolsonaro’s presidency, from 2019 to 2022, Amazon deforestation surged by about 60%, with more than 45,000 square kilometers (17,400 square miles) cleared, according to official data. Under Lula, deforestation has fallen 71% since 2023, the government said. One of Lula’s first moves after taking office in January 2023 for a third, non-consecutive term was to revive the Action Plan for the Prevention and Control of Deforestation in the Legal Amazon, known by its Portuguese acronym, PPCDAm. Launched in 2004 during his first administration, the plan had been shelved under Bolsonaro....

The plan has four pillars: strengthening monitoring and enforcement; promoting a sustainable economy; managing protected areas and determining how undesignated public forests should be used; and using regulations and financial incentives to curb deforestation. Measures included restoring sanctions for illegal forest clearing detected by satellites, a practice seen as the most effective tool to curb deforestation that was halted under Bolsonaro. The government also proposed barring properties with illegal deforestation from receiving bank loans and allocated more funding to priority Amazon municipalities that demonstrated reductions in forest loss. It also funded efforts to fight environmental crime and develop subsidized credit for sustainable businesses in the Amazon…

Deforestation and other land-use changes are Brazil’s largest sources of greenhouse gas emissions, which drive global warming. The stakes are especially high in the Amazon, which stores vast amounts of carbon dioxide and generates atmospheric moisture that helps regulate weather far beyond South America… Degradation from wildfires, logging and drought affects about 40% of the Amazon and has outpaced clear-cutting in recent years. A strong El Niño, a periodic warming of the equatorial Pacific, could intensify those threats in 2026 and 2027 by bringing hotter, drier conditions that fuel wildfires.

Available under the MIT License, Scope supports a continuous Developer Agent Experience (DevAx) learning loop grounded in repeatable experiments.

The Azure Cosmos DB team’s experience shows what that loop can deliver… “The evaluations led to 20 Agent Kit issues and 27 documentation issues resolved,” [says Jay Gordon, Senior Program Manager, Azure Cosmos DB]… These results connect evaluation to decisions a product team can make: which documentation needs clarification, where tooling needs a fix, and whether an update changes agent behavior.... [The gains] demonstrate how targeted changes, informed by observed behavior, can improve the way agents use a product.

For more on the shift from building for human developers to supporting agents, watch Your Product Was Built for Humans. Is It Ready for Agents? or join us at AI DevCon NYC conference in November.

The challenges behind agent experience aren’t unique to one product or organization. SDK maintainers, tool authors, researchers, and agent developers are all asking how agents behave and what helps them succeed. No single team can represent every language, workflow, or integration. An open project can bring more scenarios, more failure cases, and more viewpoints into the evaluation process… Opening Scope’s execution and evaluation code gives contributors a way to question the methods, investigate unexpected results, and improve the evaluation itself. A shared foundation also reduces duplicated infrastructure. Agent integrations, reusable criteria, and trace-analysis improvements can help other teams study their own products without rebuilding the same machinery. The goal isn’t one universal benchmark or definition of success. It’s a common starting point that teams can adapt to their needs.

The MIT License lets teams use and extend Scope, while self-managed deployments let them evaluate private workloads without publishing their code or run data.... Scope streams activity as the agent works and retains interactions and workspace snapshots for later review. Your team can follow tool calls, inspect generated files, and connect a failed requirement to the steps that preceded it. Those traces provide observable evidence of what the agent did, helping turn a failure into a concrete documentation, SDK, or tooling improvement.

LF Research is the Linux Foundation’s research arm. It was set up in 2021 and publishes studies on how open source is built and used, drawing on surveys and project data. Its latest report, Navigating Open Source Software Development in the Generative AI Era, surveyed 234 contributors and maintainers on how generative AI is affecting the way open source gets made…

64% say reviews now take longer. Burnout is their top concern at 63%, narrowly ahead of contribution quality at 60%.

You will also find that policies have not caught up to the AI-assisted coding and vulnerability reporting trend. Of the 119 respondents who answered the question, 35% said their project has a formal policy permitting AI use. Another 32% have none and no plans for one, 23% plan to write one, and 10% ban AI contributions outright....

Most maintainers (71%) say AI makes it easier for newcomers to start contributing.

• “Respondents estimate average time reductions across all six OSS development activities measured, including proposal discussions (19%) and code authoring (52%). For high-complexity tasks, however, 21% of respondents report taking more time when using GenAI.”

• “71% of maintainers agree GenAI reduces barriers to entry for OSS, but 53% of maintainers disagree that GenAI has improved community trust.”

• Developers are reinvesting the time they save back into open source: 66% report using productivity gains to address technical debt, 63% to develop new features and 58% for learning and upskilling.

• Continued investment in human mentorship remains important: 46% of maintainers say GenAI increases the need for mentorship of new contributors, compared with 32% who say it decreases that need.

OpenSSF and LF AI & Data also helped support the study.

Core systemd code like the systemd library doesn’t yet support Rust code, but for the various systemd programs / leaf components there is now support for using Rust… The new systemd-keyring-setup utility in Rust is used for provisioning keyrings and enrolling X.509 certificates into the kernel’s dm-verity / fs-verity / BPF keyrings during the boot process while dealing them afterward. This systemd-keyring-setup code hasn’t been merged yet but is expected soon now that the Rust infrastructure has landed. Originally it was all part of a single big commit before being split-up for the Rust enablement, systemd-keyring-setup, and other preparations for this new component.

Systemd developers aren’t planning on porting existing C code to Rust, all the Rust code is built with Meson [no Cargo usage], and C linkage only is mandated.

Systemd Rust components come out slightly larger than C with a test program being 32KB compared to 20KB for its C twin. For now at least the systemd Rust support is optional and toggled by the -Drust= Meson option with it being auto by default.

Richard Borcherds, a UC Berkeley professor and Fields medalist, no longer grades his students’ homework. After seeing how many of his students used AI to consistently receive top scores, he felt there was “no point” in paying readers to grade for correctness in homework, as AI use is now unavoidable.

Borcherds revealed this in a sit-down interview Tuesday, following OpenAI’s announcement that AI agents apparently solved one of mathematics’ most difficult unsolved problems, the Navier-Stokes existence and smoothness problem. “If AI continues to improve at present rate, then, in a few years, there’ll be nothing human mathematicians can do that AI can’t do better,” Borcherds said.

Borcherds said he currently grades on completion if a student hands in their homework. He admitted that it is “not a very good system,” but at the moment, he has no alternative… Campus has tried several AI detection tools, including Turnitin and Rumi, but have determined that these tools aren’t adequate enough to be standardized on campus.

Filesystems that can repair damage, like Btrfs and ZFS, usually do it by falling back on a spare copy of the data. BeamFS skips that and stores Reed-Solomon error-correcting codes inside every block. Every read gets checked against those codes, and small amounts of damage are corrected before the data reaches the application. If the filesystem can tell the damage is beyond repair, the read fails with an error instead of returning the wrong bytes…

In his technical report, ext4 and ext3 returned wrong data without any error, while Btrfs refused to read the file. BeamFS returned the correct file every time except once, when a flip hit a pointer to the file’s data and it refused the read.

VC-backed companies are spending more and more on tokens, but mainstream corporate America does not need the latest model and is unwilling to pay for it. As long as agentic AI and token spending are confined to a small part of the economy, the macroeconomic effects of AI will be very limited…

The question looking ahead is whether, even as models become commoditized, mainstream corporate America can turn increasingly cheap intelligence into higher revenue growth and higher profit margins. That may be harder than it sounds. AI may be a great calculator, but in business, intelligence is mostly judgment. Judgment depends on context, and the answer varies with which human or which model you ask. Perhaps most importantly, AI does not understand accountability, trust, culture, unwritten rules, ethical trade-offs or fairness, all of which shape reputational risk and ultimately drive revenue growth and profit margins.

The bottom line is that the AI story will be decided in the S&P 493, not the Mag 7, and so far, there is no evidence that revenue growth or margins are improving outside the tech sector.

Apollo’s Torsten Slok focuses on what he calls the S&P 493 — the S&P 500, minus Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla — finding that profit margins and revenue per worker appear to be flat, with no evidence that AI is improving productivity…

Recent studies have also found that AI has yet to deliver significant productivity gains.

Google updated its privacy policy to clarify that it could use information shared through Personal Intelligence to personalize ads. Gmail, Drive, and Photos content isn’t used for targeted ads by default, but connecting them to eligible Google services could change that.

Google has long promised that your Gmail, Drive, and Google Photos content never helps it personalize ads. However, since October 16, 2026, its privacy policy adds a catch. The promise lapses if you let other ad-showing Google services use that content. That means using Personal Intelligence, an opt-in tool that lets Google’s AI search read your connected apps, does exactly that (via Google).

If you ask Google’s AI Mode where to eat near your hotel, and it can identify your hotel from the booking confirmation in Gmail, find the location in Maps, and then suggest a few places you might like. That’s the helpful half. The twist, however, is that AI Mode can also show sponsored results. Google mentions that the personalized ads follow what the question and answer are about. So, while your inbox never goes to an advertiser, it can quietly shape the answer, which, in turn, shapes the ads.

Google’s defense is elaborate. First, it says connecting the apps is optional. Second, advertisers can’t see the information or content Google accesses in your Workspace apps (including your inbox and photos). Finally, sensitive topics like health are off-limits.

If you want to ensure ads never use your personal data in this way, you’ll need to make sure Personal Intelligence is turned off. The easiest way is to access the Gemini settings for Personal Intelligence and disable the connected apps. These settings are also a few levels deep in your main Google account settings under Data & privacy > Personalization settings > Manage Personalized Recommendations in Search Services > Connected Content Apps. From there, you can disable connections to Workspace and Google Photos.

You may join us virtually, or if you are in Boston, Massachusetts, United States (the FSF’s home base), you can join us in-person at the Boston Public Library’s Copley Square branch. You may also join us in-person at MakeHaven in New Haven, Connecticut, US, and meet our deputy director Sean O’Brien. Whether attending our event online or in-person, please register. It will help us plan ahead and enable us to contact you about other important details before the workshop, like what to expect and what to bring…

Bulk surveillance violates our fundamental rights and makes free speech dangerous. Email encryption is an excellent tool you can use to shield yourself from bulk surveillance. Encrypting your email is also a concrete step towards protecting your data from others whose intentions may not be honorable.

A certificate authority’s decision to abandon the global SSL/TLS market is exposing a weakness many organizations rarely examine: their dependence on complex PKI trust chains. Following the compromise of private keys behind eight of its intermediate certificate authorities, eMudhra is exiting the global SSL/TLS certificate business and is offering customers Sectigo-issued replacements… [In a press note the company added] that data sovereignty and compliance requirements had increased the business’s complexity and cost… The company said it will contact affected customers to replace certificates free of cost. It also said it will keep revocation and certificate status services running until every issued certificate has expired or been replaced…

Yash Kadakia, co-founder and CTO of Security Brigade, said that moving to another root operated by the same company does not necessarily address concerns over trust and governance. “The last thing organisations need is to migrate twice,” Kadakia said.

Replacing a website’s certificate may not address every dependency in an enterprise environment, according to Sakshi Grover, research director at IDC. She said residual exposure lies in systems that maintain their own trust stores and do not update on the same schedule as browsers. These include Java keystores, language runtimes, container images, mutual TLS configurations, proxies, load balancers, VPN and security appliances, and embedded devices. “The harder finding for many organizations will be that they can’t answer these questions at all,” Grover said, referring to where certificate trust decisions are made outside browsers and operating systems…

Grover recommended that security teams first identify where trust decisions occur outside browsers and operating systems, prioritising systems that accept connections from external parties and mutual TLS endpoints. Teams should then determine which systems can be updated to distrust a specific intermediate certificate or public key, she said.

Last week, Getty announced plans to file for bankruptcy, marking a major reset after its planned merger with rival Shutterstock collapsed under the weight of heavy debt and growing competition from AI-generated imagery.

Getty said the affiliates of the Getty family and Koch Equity Development, which committed to provide up to $533 million in new equity, will own 100% of the company after the restructuring

It’s hard to compete against things like the DALL-E image generator.

Cellular transformations can be done in two main ways. The first, more circuitous route turns a specific cell back into a pluripotent stem cell, or an embryonic “blank slate,” and then into a different cell type. The second method involves a “direct conversion,” which skips the middle stage and directly transforms a cell into a different type. “Using this method, we have directly converted red blood cell precursors into neural stem cells,” summarizes Oliver Brüstle, the director of the Institute of Reconstructive Neurobiology at the University Hospital of Bonn…

The researchers used a virus to deliver two transcription factors, or proteins that attach to DNA to regulate gene activity, to get the cells to change their types. Then they used two genome-bloodhounding methods — DNA methylation measures and RNA sequencing — to track the resultant anti-aging effects and genetic behavior. By the 12th day after the viral “infection,” the cells started showing their new identity, ditching their blood-like proteins and replacing them with the expression of neural-like proteins instead. Initially, the epigenetic age (the DNA changes accumulated over time) of the EPCs was highly correlated with the chronological age of their donors [but] the neuronal stem cells kept getting younger as they got older… Over the following 50 to 100 days, they kept de-aging, eventually reaching about 5 percent of the donor age, with the majority of epigenetic age-related traits resetting by around 50 days of the conversion process…

In effect, the converted cells became 60 years younger in 50 days, the researchers note in their official statement.