arXiv:2602.16853v1 Announce Type: new Abstract: Ever since the introduction of internet technologies in South Korea, digital sexual violence (DSV) has been a persistent and pervasive problem. Evolving alongside digital technologies, the severity and scale of violence have grown consistently, leading to widespread public concern. In this paper, we present four eras of image-based DSV in South Korea, spanning from the early internet era of the 1990s to the deepfake scandals in the mid-2020s. Drawing from media coverage, legal […]

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Datasette 1.0a24 New Datasette alpha this morning. Key new features: Datasette’s Request object can now handle multipart/form-data file uploads via the new await request.form(files=True) method. I plan to use this for a datasette-files plugin to support attaching files to rows of data. The recommended development environment for hacking on Datasette itself now uses uv. Crucially, you can clone Datasette and run uv run pytest to run the tests without needing to manually create a virtual environment or install […]

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I’ve been learning web development as a hobby using Claude, decided to test it and ended up making a marketplace for robot control policies and RL agents: actimod.com The idea is simple: a place where people can list locomotion policies, manipulation stacks, sim2real pipelines — and where people deploying robots can find or commission what they need. I know demand is basically zero right now, the space is still early but this felt like an interesting field to […]

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arXiv:2602.17783v1 Announce Type: new Abstract: Machine learning (ML) has been increasingly used for topology optimization (TO). However, most existing ML-based approaches focus on simplified benchmark problems due to their high computational cost, spectral bias, and difficulty in handling complex physics. These limitations become more pronounced in multi-material, multi-physics problems whose objective or constraint functions are not self-adjoint. To address these challenges, we propose a framework based on physics-informed Gaussian processes (PIGPs). In our approach, the primary, adjoint, and […]

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In 2026, the problem is no longer how to make more ads. It is how to stop making the wrong ones. Why the competitive edge in AI-native performance marketing is shifting from production volume to decision quality, creative selection, and controllable scaling. ⚡ Quick Take: The Shift: Competitive advantage has moved from production volume (now cheap and abundant due to AI) to decision quality and selection logic. The Core Problem: Most teams are trapped in “micro-iterations” or “taste-driven […]

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arXiv:2603.20227v1 Announce Type: new Abstract: Background: Telework has benefits for many people with disabilities. The pandemic may create new employment opportunities for people with disabilities by increasing employer acceptance of telework, but this crucially depends on the occupational structure. Objective: We compare people with and without disabilities in the expansion of telework as the pandemic began, and the evolution of telework during the pandemic. Methods: We use U.S. data from the American Community Survey from 2008 to 2020 […]

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arXiv:2602.22403v1 Announce Type: new Abstract: Machine learning (ML)-based defect prediction models can improve software quality. However, their opaque reasoning creates an HCI challenge because developers struggle to trust models they cannot interpret. Explainable AI (XAI) methods such as LIME, SHAP, and BreakDown aim to provide transparency, but when used together, they often produce conflicting explanations that increase confusion, frustration, and cognitive load. To address this usability challenge, we introduce XMENTOR, a human-centered, rank-aware aggregation method implemented as a […]

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arXiv:2601.14351v1 Announce Type: new Abstract: AI Agents can perform complex operations at great speed, but just like all the humans we have ever hired, their intelligence remains fallible. Miscommunications aren’t noticed, systemic biases have no counter-action, and inner monologues are rarely written down. We did not come to fire them for their mistakes, but to hire them and provide a safe productive working environment. We posit that we can reuse a common corporate organizational structure: teams of independent […]

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Environmental, Social, and Governance (ESG) analytics increasingly uses knowledge graphs (KGs) to encode framework-grounded semantics, align overlapping standards, and attach provenance for auditable querying. Yet ESG evidence is mainly text-first (disclosures, regulations, policies, news, incident narratives), so quality depends on the KG–NLP interface. Research remains fragmented across topics, modalities, and pipelines, limiting reuse. To address this, we introduce the ESG Research Focus Map (ESG-RFM), a vendor-agnostic pillar–theme–focus taxonomy crosswalked to major ESG frameworks (MSCI, GRI, ESRS, and SASB), […]

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