In healthcare, predictive models increasingly inform patient-level decisions, yet little attention is paid to the variability in individual risk estimates and its impact on treatment decisions. For overparameterized models, now standard in machine learning, a substantial source of variability often goes undetected. Even when the data and model architecture are held fixed, randomness introduced by optimization and initialization can lead to materially different risk estimates for the same patient. This problem is largely obscured by standard evaluation practices, […]

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arXiv:2604.06218v1 Announce Type: new Abstract: Online financial scams represent a long-standing and serious threat for which people seek help. We present a study to understand people’s in situ motivations for engaging with scams and the help needs they express before, during, and after encountering a scam. We identify the main emotions scammers exploited (e.g., fear, hope) and characterize how they did so. We examine factors — such as financial insecurity and legal precarity — which elevate people’s risk […]

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Microsoft Copilot Cowork Exfiltrates Files The biggest challenge in designing agentic systems continues to be preventing them from enabling attackers to exfiltrate data. In this case Microsoft Copilot Cowork (yes, that’s a real product name) was allowing agents to send emails to the user’s own inbox without approval… but those messages were then displayed in a way that could leak data to an attacker via rendered images: Because these messages can contain external images that trigger network requests […]

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This Mitchell Hashimoto quote about Bun migrating from Zig to Rust reminded me of a similar conversation I had at a conference last week. I was talking to someone who worked for a medium sized technology company with a pair of legacy/legendary iPhone and Android apps. They told me they had just completed a coding-agent driven rewrite of both apps to React Native. I asked why they chose that, given that coding agents presumably drive down the cost […]

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arXiv:2502.02580v3 Announce Type: replace-cross Abstract: In mixture models, anisotropic noise within each cluster is widely present in real-world data. This work investigates both computationally efficient procedures and fundamental statistical limits for clustering in high-dimensional anisotropic mixtures. We propose a new clustering method, Covariance Projected Spectral Clustering (COPO), which adapts to a wide range of dependent noise structures. We first project the data onto a low-dimensional space via eigen-decomposition of a diagonal-deleted Gram matrix. Our central methodological idea is […]

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arXiv:2602.17858v1 Announce Type: new Abstract: We initiate the study of multi-attribute group fairness in $k$-nearest neighbor ($k$-NN) search over vector databases. Unlike prior work that optimizes efficiency or query filtering, fairness imposes count constraints to ensure proportional representation across groups defined by protected attributes. When fairness spans multiple attributes, these constraints must be satisfied simultaneously, making the problem computationally hard. To address this, we propose a computational framework that produces high-quality approximate nearest neighbors with good trade-offs between […]

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arXiv:2601.02363v1 Announce Type: new Abstract: Avatar embodiment experiences have the potential to enhance human capabilities by extending human senses, body, and mind. This study investigates social acceptance of robotic and virtual avatars as enablers of capability enhancement in six domains: identity exploration, well-being and behavioral transformation, expanded travel capabilities, expanded bodily and sensory abilities, cognitive augmentation, and immortality. We conducted a large-scale survey (n = 1001) in Dubai to explore acceptance of sixteen capability enhancement scenarios within these […]

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Hey everyone, I’m building a project for my university Machine Learning course called “Social network analysis using iterated game theory” and I’ve hit a wall. What I’m doing and how it should work: The goal of the project is to simulate how real human societies build trust. I have 100 agents playing the Iterated Prisoner’s Dilemma, placed on different complex network topologies (like Watts-Strogatz “villages” vs. Barabási-Albert “cities”). Initially i thought of it as a RL project but […]

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I am working on a peg-in-hole robotic assembly thesis with a Doosan M1013, ROS2 & an eye-in-hand RGB-D camera. The upstream perception system gives a coarse hole/block pose from stationary RGB-D cameras. Based on prior measurements/error propagation, the pre-insertion uncertainty may be around 3–5 mm average and up to 7–11 mm worst case, with about 1–2° angular error. I want to train a contact-rich insertion policy using vision + force/torque + proprioception, starting from a pre-insert pose about […]

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For over a decade, the “PHP stack” has been synonymous with a specific architecture: Nginx or Apache acting as a reverse proxy, speaking FastCGI to a pool of PHP-FPM workers. It’s battle-tested, reliable and — let’s be honest — architecturally stagnant. FrankenPHP isn’t just another server; it is a fundamental shift in how we serve PHP applications. Built on top of Caddy (written in Go), it embeds the PHP interpreter directly. No more FastCGI overhead. No more Nginx config hell. And […]

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