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Police corporal created AI porn from driver's license pics

Police corporal created AI porn from driver’s license pics

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A corporal in the Pennsylvania state police yesterday pleaded guilty to a mind-boggling set of crimes that include going through his co-workers’ underwear, possessing a stolen gun, having child sexual abuse material on his hard drives, and using AI tools to create over 3,000 pornographic “deepfakes.” One of the deepfakes involved a district court judge, while many of the others were created based on photos downloaded illicitly from state databases, including driver’s license photos. Some of the imagery […]

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First man convicted under Take It Down Act kept making AI nudes after arrest

First man convicted under Take It Down Act kept making AI nudes after arrest

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An Ohio man became the first person convicted under the Take It Down Act after pleading guilty to creating and sharing both real and AI-generated explicit images of at least 10 victims without their consent. According to a Justice Department press release, 37-year-old James Strahler II used AI tools to create fake sexualized images to harass at least six women he knew. In some images, he depicted one victim engaged in sex with her father and shared that […]

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2DRL – Box2D reinforcement learning engine

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I’ve been on-and-off working on this project for a few months, just wanted to share it: https://www.2drl.com/ TLDR – It’s kinda like Unity but for reinforcement learning and much more lightweight. It lets you visually design Box2D (2D rigid body physics) gym environments using a drag-and-drop interface. It also has scripting support, so in principle you can define any environment with any custom behaviour. From your scene and script, it will automatically generate the full environment code, which […]

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CDC study shows COVID shot benefits; Trump official blocks release

CDC study shows COVID shot benefits; Trump official blocks release

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Under anti-vaccine Health Secretary Robert F. Kennedy Jr., scientists at the Centers for Disease Control and Prevention have been blocked from publishing a scientifically vetted study finding significant health benefits from this season’s COVID-19 vaccines, according to reporting by The Washington Post. The move adds to longstanding concern among health experts that chaos and political interference under Kennedy—a staunch anti-vaccine activist who has long falsely maligned COVID-19 vaccines—is deeply undermining science at federal agencies and beyond. CDC scientists and […]

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Spectral-Transport Stability and Benign Overfitting in Interpolating Learning

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We develop a theoretical framework for generalization in the interpolating regime of statistical learning. The central question is why highly overparameterized estimators can attain zero empirical risk while still achieving nontrivial predictive accuracy, and how to characterize the boundary between benign and destructive overfitting. We introduce a spectral-transport stability framework in which excess risk is controlled jointly by the spectral geometry of the data distribution, the sensitivity of the learning rule under single-sample replacement, and the alignment structure […]

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Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers

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Catastrophic forgetting remains a key challenge in Continual Learning (CL). In replay-based CL with severe memory constraints, performance critically depends on the sample selection strategy for the replay buffer. Most existing approaches construct memory buffers using embeddings learned under supervised objectives. However, class-agnostic, self-supervised representations often encode rich, class-relevant semantics that are overlooked. We propose a new method, Multiple Embedding Replay Selection, MERS, which replaces the buffer selection module with a graph-based approach that integrates both supervised and […]

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Agentic AI’s governance challenges under the EU AI Act in 2026

Agentic AI’s governance challenges under the EU AI Act in 2026

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AI agents hold the promise of automatically moving data between systems and triggering decisions, but in some cases, they can act without a clear record of what, when, and why they undertook their tasks. That has the potential to create a governance problem, for which IT leaders are ultimately responsible. If an organisation can’t trace an agent’s actions and don’t have proper control over its authority, leaders can’t prove that a system is operating safely or even lawfully […]

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Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime

Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime

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Stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime now enable interactive, multi-turn agent workflows that were previously impossible with stateless implementations. Developers building AI agents often struggle when their workflows must pause mid-execution to ask users for clarification, request large language model (LLM)-generated content, or provide real-time progress updates during long-running operations, stateless MCP servers can’t handle these scenarios. This solves these limitations by introducing three client capabilities from the MCP specification: Elicitation (request user input mid-execution) […]

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First, Tesla canceled the Model 2—now it's working on a new small EV

First, Tesla canceled the Model 2—now it’s working on a new small EV

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One of life’s abiding mysteries—at least to this writer—has been Tesla’s enduring success over recent years despite offering so few choices for customers. With the death of the low-volume and antiquated Models S and X to free factory space for CEO Elon Musk’s stated desire to build billions of humanoid robots, the car company now sells just two models outside the US (and effectively in the US, given languishing Cybertruck sales). That could be changing, though. According to […]

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An Illusion of Unlearning? Assessing Machine Unlearning Through Internal Representations

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While numerous machine unlearning (MU) methods have recently been developed with promising results in erasing the influence of forgotten data, classes, or concepts, they are also highly vulnerable-for example, simple fine-tuning can inadvertently reintroduce erased concepts. In this paper, we address this contradiction by examining the internal representations of unlearned models, in contrast to prior work that focuses primarily on output-level behavior. Our analysis shows that many state-of-the-art MU methods appear successful mainly due to a misalignment between […]

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