March 2026

National Academies of Sciences says no to demands it remove climate info

National Academies of Sciences says no to demands it remove climate info

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Judges are frequently confronted with cases that hinge upon scientific information that their educational backgrounds may leave them ill-equipped to manage. Because of this challenge, the Federal Judicial Center, a group within the judicial branch of the government, has collaborated with the National Academies of Sciences (NAS) to produce a reference manual that provides background on a range of scientific and medical issues that frequently confront the court system. The Reference Manual on Scientific Evidence is currently on […]

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Coding agents for data analysis

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Coding agents for data analysis Here’s the handout I prepared for my NICAR 2026 workshop “Coding agents for data analysis” – a three hour session aimed at data journalists demonstrating ways that tools like Claude Code and OpenAI Codex can be used to explore, analyze and clean data. Here’s the table of contents: Coding agents Warmup: ChatGPT and Claude Setup Claude Code and Codex Asking questions against a database Exploring data with agents Cleaning data: decoding neighborhood codes […]

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New "vibe coded" AI translation tool splits the video game preservation community

New “vibe coded” AI translation tool splits the video game preservation community

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Since Andrej Karpathy coined the term “vibe coding” just over a year ago, we’ve seen a rapid increase in both the capabilities and popularity of using AI models to throw together quick programming projects with less human time and effort than ever before. One such vibe-coded project, Gaming Alexandria Researcher, launched over the weekend as what coder Dustin Hubbard called an effort to help organize the hundreds of scanned Japanese gaming magazines he’s helped maintain at clearinghouse Gaming […]

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Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

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Following the pivotal success of learning strategies to win at tasks, solely by interacting with an environment without any supervision, agents have gained the ability to make sequential decisions in complex MDPs. Yet, reinforcement learning policies face exponentially growing state spaces in high dimensional MDPs resulting in a dichotomy between computational complexity and policy success. In our paper we focus on the agent’s interaction with the environment in a high-dimensional MDP during the learning phase and we introduce […]

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Trump and his FCC chair demand more positive news coverage of Iran war

Trump and his FCC chair demand more positive news coverage of Iran war

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President Trump and the Federal Communications Commission chairman are demanding more positive media coverage of the Iran war. On Saturday, FCC Chairman Brendan Carr issued yet another threat to revoke licenses from news broadcasters, claiming without evidence that they are running “hoaxes and news distortions” related to the war in Iran. In an X post, Carr shared a complaint about an Iran war headline that Trump had made on Truth Social and added his own commentary. “Broadcasters that […]

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FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding

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We introduce FEEL (Force-Enhanced Egocentric Learning), the first large-scale dataset pairing force measurements gathered from custom piezoresistive gloves with egocentric video. Our gloves enable scalable data collection, and FEEL contains approximately 3 million force-synchronized frames of natural unscripted manipulation in kitchen environments, with 45% of frames involving hand-object contact. Because force is the underlying cause that drives physical interaction, it is a critical primitive for physical action understanding. We demonstrate the utility of force for physical action understanding […]

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Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning

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Modern machine learning systems increasingly rely on sensitive data, creating significant privacy, security, and regulatory risks that existing privacy-preserving machine learning (ppML) techniques, such as Differential Privacy (DP) and Homomorphic Encryption (HE), address only at the cost of degraded performance, increased complexity, or prohibitive computational overhead. This paper introduces Informationally Compressive Anonymization (ICA) and the VEIL architecture, a privacy-preserving ML framework that achieves strong privacy guarantees through architectural and mathematical design rather than noise injection or cryptography. ICA […]

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OpenAI’s own mental health experts unanimously opposed “naughty” ChatGPT launch

OpenAI’s own mental health experts unanimously opposed “naughty” ChatGPT launch

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OpenAI cannot escape the doom cloud swirling around its rollout of a text-based “adult mode” in ChatGPT. Late Sunday, The Wall Street Journal reported that insiders confirmed that OpenAI’s “handpicked council of advisers on well-being and AI” were “freaking out” over the company’s plans to move ahead with “adult mode,” despite their urgent warnings. Back in January, council members unanimously warned OpenAI that “AI-powered erotica could foster unhealthy emotional dependence on ChatGPT for users and that minors could […]

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Driving the $375,000 Porsche race car that debuted as a $12 DLC in iRacing

Driving the $375,000 Porsche race car that debuted as a $12 DLC in iRacing

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Porsche provided flights from Albany, New York, to Los Angeles and accommodation so Ars could drive the 911 Cup. Ars does not accept paid editorial content. Video game launches for new cars are increasingly common these days—Gran Turismo alone has hosted dozens of “Vision” concepts—but Porsche decided to go a little more serious for the digital debut of its latest model. iRacing, the online driving sim that has been punishing people’s digital driving indiscretions since 2008, was not […]

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Agentic AI in the Enterprise Part 2: Guidance by Persona

Agentic AI in the Enterprise Part 2: Guidance by Persona

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This is Part II of a two-part series from the AWS Generative AI Innovation Center. If you missed Part I, refer to Operationalizing Agentic AI Part 1: A Stakeholder’s Guide. The biggest barrier to agentic AI isn’t the technology—it’s the operating model. In Part I, we established that organizations generating real value from agents share three traits: they define work in precise detail, they bound autonomy deliberately, and they treat improvement as a continuous habit rather than a […]

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