The US Department of Justice (DOJ) has removed thousands of documents related to Jeffrey Epstein from its website after victims said their identities had been compromised. Lawyers for Epstein's victims said flawed redactions in the files released on Friday had turned upside down the lives of nearly 100 survivors. Email addresses and nude photos in which the names and faces of potential victims could be identified were included in the release. Survivors issued a statement calling the disclosure outrageous and said they should not be named, scrutinized and retraumatized. The DOJ said it had taken down all the flagged files and that mistakes were due to technical or human error.

Women's groups are calling for tech developers to take into account women's safety. Women's groups are calling for tech developers to take into account women's safety. Domestic abusers are increasingly using AI, smartwatches and other technology to attack and control their victims, a domestic abuse charity says. Record numbers of women who were abused and controlled through technology were referred to Refuge's specialist services during the last three months of 2025, including a 62% increase in the most complex cases to total 829 women. There was also a 24% increase in referrals of under-30s.

BBC Verify has been tracking the Marinera for weeks. Housing, Europe ties, economy... what Canadians are hopeful for in 2026 The BBC spoke to people in Toronto and Montreal to find out what they're optimistic about heading into the new year. The powerful storm system brought blizzard conditions to areas of the Midwest and East Coast causing some travel delays. Governor Gavin Newsom has declared a state of emergency for parts of California, including Los Angeles, San Bernardino and San Diego. The White Settlement Police Department is searching for two suspects.

Technology "Why Did You Do It?" A radical new use of deepfake technology is allowing survivors of abuse to confront their perpetrators. Marina vd Roest hadn't faced the man who abused her in decades when she first sat down in front of the laptop. Confronted with his realistic, blinking, speaking face, she felt "scared like a little child again." "Sometimes I had to close the laptop and get my breath back before opening it and continuing with the conversation," she says. Vd Roest is one of the first people to have tried out a radical new form of therapy that involves putting survivors face-to-face with A.I.-generated deepfakes of their attackers as a means of healing unresolved trauma.

Several legal experts have told BBC Verify that the second strike on an alleged Venezuelan drug boat by the US military was probably illegal, and would likely be considered an extrajudicial killing under international law. On Monday, the Trump administration confirmed that a follow-up strike on the boat - which has been criticised as a double tap - was ordered by US Navy Admiral Frank Bradley with the overall operation having been authorised by War Secretary Pete Hegseth. Nine people died in the first strike on the vessel and two survivors were left clinging to the burning wreckage when it was struck again, killing them, according to the Washington Post. A US official has said four missiles were used in the operation. The Trump administration has not denied there were survivors and has insisted the strikes on 2 September were in accordance with the law of armed conflict.

We present online learning of Hierarchical Task Network (HTN) methods in the context of integrated HTN planning and LLM-based chatbots. Methods indicate when and how to decompose tasks into subtasks. Our method learner is built on top of the ChatHTN planner. ChatHTN queries ChatGPT to generate a decomposition of a task into primitive tasks when no applicable method for the task is available. In this work, we extend ChatHTN. Namely, when ChatGPT generates a task decomposition, ChatHTN learns from it, akin to memoization. However, unlike memoization, it learns a generalized method that applies not only to the specific instance encountered, but to other instances of the same task.. We conduct experiments on two domains and demonstrate that our online learning procedure reduces the number of calls to ChatGPT while solving at least as many problems, and in some cases, even more.

What it's like to be in the middle of a conspiracy theory (according to a conspiracy theory expert) Mike Rothschild has spent years studying the rise of QAnon and antivaccine conspiracism. After his house in Altadena, California, burned down, he found himself mired in similarly sticky webs of misinformation. On a gloomy Saturday morning this past May, a few months after entire blocks of Altadena, California, were destroyed by wildfires, several dozen survivors met at a local church to vent their built-up frustration, anger, blame, and anguish. As I sat there listening to one horror story after another, I almost felt sorry for the very polite consultants who were being paid to sit there, and who couldn't do a thing about what they were hearing. Hosted by a third-party arbiter at the behest of Los Angeles County, the gathering was a listening session in which survivors could "share their experiences with emergency alerts and evacuations" for a report on how the response to the Eaton Fire months earlier had succeeded and failed. It didn't take long to see just how much failure there had been. After a small fire started in the bone-dry brush of Pasadena's Eaton Canyon early in the evening of Tuesday, January 7, 2025, the raging Santa Ana winds blew its embers into nearby Altadena, the historically Black and middle-class town just to the north. By Wednesday morning, much of it was burning.

U.S. military seized survivors after a drone strike on alleged drug smuggling boat in the Caribbean, marking first known survivors in President Donald Trump's anti-cartel campaign.

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Advances in the control of autonomous systems have accompanied an expansion in the potential applications for autonomous robotic systems. The success of applications involving humans depends on the quality of interaction between the autonomous system and the human supervisor, which is particularly affected by the degree of trust that the supervisor places in the autonomous system. Absent from the literature are models of supervisor trust dynamics that can accommodate asymmetric responses to autonomous system performance and the intermittent nature of supervisor-autonomous system communication. This paper focuses on formulating an estimated model of supervisor trust that incorporates both of these features by employing a switched linear system structure with event-triggered sampling of the model input and output. Trust response data collected in a user study with 51 participants were then used identify parameters for a switched linear model-based observer of supervisor trust.