The ability to selectively remove knowledge from LLMs is highly desirable. However, existing methods often struggle with balancing unlearning efficacy and retain model utility, and lack controllability at inference time to emulate base model behavior as if it had never seen the unlearned data. In this paper, we propose LUNAR, a novel unlearning method grounded in the Linear Representation Hypothesis and operates by redirecting the representations of unlearned data to activation regions that expresses its inability to answer. We show that contrastive features are not a prerequisite for effective activation redirection, and LUNARachieves state-of-the-art unlearning performance and superior controllability. Specifically, LUNARachieves between 2.9 and 11.7 improvement in the combined unlearning efficacy and model utility score (Deviation Score) across various base models and generates coherent, contextually appropriate responses post-unlearning. Moreover, LUNAR effectively reduces parameter updates to a single down-projection matrix, a novel design that significantly enhances efficiency by 20 and robustness. Finally, we demonstrate that LUNARis robust to white-box adversarial attacks and versatile in real-world scenarios, including handling sequential unlearning requests.

Crowding the gates of a major health care conference, protesters called for Palantir to be booted out of the UK's National Health Service over privacy concerns and political grievances. Protesters wearing hospital gowns and wielding signs gathered outside a UK health care conference on Thursday to object to a deal between the country's National Health Service and American software company Palantir . At 8 am local time, the group, around 80 people in total, crowded the entryway to the NHS ConfedExpo in Manchester. They wanted to appeal to NHS leadership to terminate a contract worth up to $440 million over concerns around national security, data privacy, and the company's political affiliations . The contract, which includes access to Palantir's data analytics and artificial intelligence services, is intended to run until 2031 but includes a break clause that permits the government to withdraw the agreement next February.

Two former staffers have created a new, perplexing company. And DOGE alumni make splashy announcements about entering complex industries with scant qualifications while promising to "root out waste." This, at least, is the premise of Special, a newly announced start-up co-founded by Justin Fox and Nate Cavanaugh, two former Department of Government Efficiency staffers who left the federal government "motivated to extend the ethos of our work at DOGE back into the private sector," as they wrote on Special's website. The company officially launched last week with funding from the Elon Musk-friendly contingent of Silicon Valley, including the venture groups Andreessen Horowitz and Human Capital. Special is also backed by investments from numerous Musk associates, including Steve Davis, Musk's top lieutenant at DOGE.

An AI facial recognition tool that aims to detect adult migrants posing as children will be deployed at the UK's borders next year. A software company has been awarded a contract to develop and test the technology, which will estimate a person's age by analysing photographs of them taken at the border. The Home Office says the technology will make it easier to identify adult migrants attempting to game the system, after initial testing indicated promising performance and accuracy. But Human Rights Watch urged the government to scrap the scheme, describing it as unproven technology that will undermine the protections vulnerable children are entitled to. Unaccompanied child migrants are processed through the care system rather than the asylum system, which can make it easier to stay in the country.

London Mayor Sir Sadiq Khan has been accused of putting politics over public safety after blocking a £50m contract between the Metropolitan Police and US tech firm Palantir. Scotland Yard had been in talks to use the company's artificial intelligence to speed up criminal investigations. Palantir's UK chief executive Louis Mosley also said the decision would give hostile states and criminals an advantage. The Met has previously warned it will have to cut officer numbers if the deal does not proceed. Palantir, founded by tech billionaire Peter Thiel, a prominent donor to US President Donald Trump, already holds contracts with other UK public sector bodies.

The US Built a Site to Ensure Fair Access to Public Lands. Recreation.gov was supposed to make access to public lands more equitable and streamlined. It's a few minutes before 8 am Mountain Time on March 16, the day that river permit cancellations are released on Recreation.gov, the federal website for public land reservations. Rec.gov, as it's commonly called, administers everything from river permits and timed entrance fees at the most popular national parks to campground reservations on remote sites belonging to the Bureau of Land Management, and a lot of people are recreating on public land these days. There were 11 million reservations on the site in 2024, up significantly from 3.5 million reservations reported in 2019. At the center of it all is an unlikely player in the outdoor recreation space: The site is operated by the government contractor Booz Allen Hamilton, a corporation known more for cybersecurity than rafting trips. Early each year, outdoor enthusiasts gear up for Recreation.gov's annual lotteries for some of the most iconic experiences in the country: a river trip down Idaho's Middle Fork of the Salmon River, which flows through the Frank Church River of No Return Wilderness. Backcountry permits to hike into the Wave, an otherworldly rock formation in Arizona's Paria Canyon-Vermilion Cliffs Wilderness. Overnight stays in the rugged, lake-studded Enchantments, in Washington's Okanogan-Wenatchee National Forest. Odds of getting a desirable Middle Fork permit are around 2 percent.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Alberto Carvalho sits with third-grade students as he visits classrooms at Lenicia B. Weemes Elementary School on the first day of classes for LAUSD students in 2023. This is read by an automated voice. Please report any issues or inconsistencies here . Leaders who helped drive L.A. Unified's recent test-score gains are exiting as Supt.

Capped-usage SaaS products -- LLM subscriptions such as Claude Code and ChatGPT, cloud platforms such as Vercel and Cloudflare Workers, corporate benefit platforms, identity-verification services with liability transfer -- share a structural signature with insurance products: a fixed premium decoupled from realized consumption, stochastic per-user demand with heavy-tailed severity, a non-fungible cap that resets on a fixed schedule, and a portfolio-level exposure that requires reserve adequacy under tail risk. We argue that this is not an analogy. It is the same operational problem actuarial science has been tooled for decades to address, restated with new dependent variables (tokens, bandwidth bytes, function-invocations, gym check-ins) in place of medical claims. This paper proposes a modeling framework for capped-usage SaaS pricing built from frequency-severity decomposition, premium calculation principles, and Monte Carlo reserve adequacy. We map the framework to publicly observable subscription tiers in two domains (LLM services and cloud platforms), ground it in canonical health-insurance economics (Arrow 1963; Pauly 1968; Manning et al. 1987; Brot-Goldberg et al. 2017), and demonstrate divergence from traditional unit economics through a worked example. The contribution is operational rather than theoretical: not a new theorem, but vocabulary and tools currently absent from cs.LG/stat.ML practice.

Inside Anduril and Meta's quest to make smart glasses for warfare It's been a year since the duo entered the US Army's troubled augmented-reality contest. Here's what it looks like so far. The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it's prototyping with Meta, including a vision for ordering drone strikes via eye-tracking and voice commands. Quay Barnett, who leads the efforts as a vice president at Anduril following a career in the Army's Special Operations Command, says his fundamental goal is to optimize "the human as a weapons system." The vision is undoubtedly cyborg-inspired: Barnett wants drones and soldiers to see together, share information seamlessly, and make decisions as one. Anduril actually has two such projects in the works.

OnlyFans' First-Gen Creators Are Retiring--and Some Are Begging You to Forget They Exist As more sex workers quit the industry, some are having to navigate tough questions around consent and the "afterlife" of work they no longer want to be associated with. On April 28, just before noon, Win White logged onto X and posted a series of messages to his 65,000 followers who, until that moment, were mostly unaware of his past as an OnlyFans creator. If you see it, save it cool," he wrote . "I know where I've been and I think I'm entitled to a life after that at least." That morning White, 29, had received several DMs about an old clip of him making rounds. Though he has done his best to separate his old life from his new one--last year he deleted his OnlyFans account and the separate X account where he posted content--it often has a habit of catching up with him. "All that work that I did for OnlyFans, I did out in California.