Goto

Collaborating Authors

 Guantánamo


Metadata Exposes Authors of ICE's 'Mega' Detention Center Plans

WIRED

Comments and other data left on a PDF detailing Homeland Security's proposal to build "mega" detention and processing centers reveal the personnel involved in its creation. A PDF that Department of Homeland Security officials provided to New Hampshire governor Kelly Ayotte's office about a new effort to build "mega" detention and processing centers across the United States contains embedded comments and metadata identifying the people who worked on it. The seemingly accidental exposure of the identities of DHS personnel who crafted Immigration and Customs Enforcement's mega detention center plan lands amid widespread public pushback against the expansion of ICE detention centers and the department's brutal immigration enforcement tactics. Metadata in the document, which concerns ICE's "Detention Reengineering Initiative" (DRI), lists as its author Jonathan Florentino, the director of ICE's Newark, New Jersey, Field Office of Enforcement and Removal Operations. In a note embedded on top of an FAQ question, "What is the average length of stay for the aliens?"


ICE Agent's 'Dragging' Case May Help Expose Evidence in Renee Good Shooting

WIRED

ICE Agent's'Dragging' Case May Help Expose Evidence in Renee Good Shooting The government has withheld details of the investigation of Renee Good's killing--but an unrelated case involving the ICE agent who shot her could force new revelations. Defense attorneys for a Minnesota man convicted in December of assaulting Immigration and Customs Enforcement officer Jonathan Ross are seeking access to investigative files related to the killing of Renee Nicole Good, after learning Ross was the same officer who shot and killed her during a targeted operation in Minneapolis last month. Attorneys for Roberto Carlos Muñoz-Guatemala asked a federal judge on Friday to order prosecutors to turn over training records as well as investigative files related to Ross, the ICE agent who killed Good on January 7 during Operation Metro Surge and was also injured in a June 2025 incident in which Muñoz-Guatemala dragged him with his car. A separate post-trial motion by the defense, filed in the US District Court in Minnesota, asks the judge to pause deadlines for a new-trial motion until the discovery motion is resolved. Muñoz-Guatemala's attorneys argue that even if the court ultimately decides that any newly discovered evidence doesn't entitle their client to a new trial, he's entitled to explore whether there are mitigating factors that could impact the length of his sentence, such as whether Ross' injuries could have been, to some degree, brought upon him by his own behavior.


The Danger of Reducing America's Venezuela Invasion to a 60-Second Video

WIRED

January 3 marked the return of US military intervention in Latin America. While the events unfolded between Caracas and Brooklyn, social networks had already fabricated their own reality. A fire is seen in the distance at Fort Tiuna, Venezuela's largest military complex, following a series of explosions in Caracas on January 3, 2026. Geopolitics are being reduced to videos lasting just a few minutes. Social media has surpassed traditional media, not only in the speed with which it is created and shared, but also in its ability to frame our reality. People have the illusion of knowing what is happening and why within just a few hours--or less--of major world events. But reality is more complicated.


Chabria: Is RFK Jr. better on women's health than Newsom? We're about to find out

Los Angeles Times

Things to Do in L.A. Tap to enable a layout that focuses on the article. Is RFK Jr. better on women's health than Newsom? We're about to find out Halle Berry speaks Wednesday during the New York Times DealBook Summit, where she criticized Gov. Gavin Newsom for vetoing a bill that would guarantee access to menopause treatment for California women. This is read by an automated voice. Please report any issues or inconsistencies here .


The Hard-Left Shooters Leading a Gun Culture Revolution

WIRED

Earlier this year, I attended a shooting competition for queer, often trans, very online misfits. Then Charlie Kirk was killed. This isn't the story I set out to write. I was going to talk about a pretty feel-good firearms competition I went to earlier this year, where trans and queer people made up about a quarter of participants and the unofficial rule was you're not allowed to be a bigot. I was going to describe the strange and whimsical mix of subcultures people embraced there--like polyamory and Mad Max cosplay--wrapped up in pro-LGBT and Black Lives Matter patches. Then Charlie Kirk was killed. Suddenly I found myself wondering if I should write this story at all. If doing so would put my sources--gun-loving trans people in Trump's America--in danger.


Long-form factuality in large language models Jerry Wei 1 Chengrun Y ang 1 Xinying Song 1 Yifeng Lu

Neural Information Processing Systems

To benchmark a model's long-form factuality in open domains, we first use GPT -4 to generate LongFact, a prompt set comprising thousands of questions spanning 38 topics. We then propose that LLM agents can be used as automated evaluators for long-form factuality through a method which we call Search-Augmented Factuality Evaluator (SAFE).


Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework

Greschner, Lynn, Weber, Sabine, Klinger, Roman

arXiv.org Artificial Intelligence

Emotions that somebody develops based on an argument do not only depend on the argument itself - they are also influenced by a subjective evaluation of the argument's potential impact on the self. For instance, an argument to ban plastic bottles might cause fear of losing a job for a bottle industry worker, which lowers the convincingness - presumably independent of its content. While binary emotionality of arguments has been studied, such cognitive appraisal models have only been proposed in other subtasks of emotion analysis, but not in the context of arguments and their convincingness. To fill this research gap, we propose the Contextualized Argument Appraisal Framework to model the interplay between the sender, receiver, and argument. We adapt established appraisal models from psychology to argument mining, including argument pleasantness, familiarity, response urgency, and expected effort, as well as convincingness variables. To evaluate the framework and pave the way for computational modeling, we develop a novel role-playing-based annotation setup, mimicking real-world exposure to arguments. Participants disclose their emotion, explain the main cause, the argument appraisal, and the perceived convincingness. To consider the subjective nature of such annotations, we also collect demographic data and personality traits of both the participants and ask them to disclose the same variables for their perception of the argument sender. The analysis of the resulting ContArgA corpus of 4000 annotations reveals that convincingness is positively correlated with positive emotions (e.g., trust) and negatively correlated with negative emotions (e.g., anger). The appraisal variables particularly point to the importance of the annotator's familiarity with the argument.



What Is The Political Content in LLMs' Pre- and Post-Training Data?

Ceron, Tanise, Nikolaev, Dmitry, Stammbach, Dominik, Nozza, Debora

arXiv.org Artificial Intelligence

Large language models (LLMs) are known to generate politically biased text, yet how such biases arise remains unclear. A crucial step toward answering this question is the analysis of training data, whose political content remains largely underexplored in current LLM research. To address this gap, we present in this paper an analysis of the pre- and post-training corpora of OLMO2, the largest fully open-source model released together with its complete dataset. From these corpora, we draw large random samples, automatically annotate documents for political orientation, and analyze their source domains and content. We then assess how political content in the training data correlates with models' stance on specific policy issues. Our analysis shows that left-leaning documents predominate across datasets, with pre-training corpora containing significantly more politically engaged content than post-training data. We also find that left- and right-leaning documents frame similar topics through distinct values and sources of legitimacy. Finally, the predominant stance in the training data strongly correlates with models' political biases when evaluated on policy issues. These findings underscore the need to integrate political content analysis into future data curation pipelines as well as in-depth documentation of filtering strategies for transparency.


How an Emirati Royal Won the Battle for A.I. Chips

NYT > Middle East

Sheikh Tahnoon bin Zayed Al Nahyan of the United Arab Emirates secured a tentative A.I. chip deal with the United States. His company also struck a $2 billion deal with President Trump's crypto start-up. David Yaffe-Bellany, a technology reporter for The New York Times, walks us through both deals' intersecting timelines. What Made Charlie Kirk Influential? What We Know About Bolsonaro's Conviction