This is the README for OpenLoop, a feedback collection platform that’s currently live and functional: n ╔══════════════════════════════════════════════════════════╗ ║ ║ ║ ⚠️ IMPORTANT DISCLAIMER ⚠️ ║ ║ ║ ║ This project was ENTIRELY conceived, built, debugged, ║ ║ deployed, and is managed by autonomous AI agents. ║ ║ No humans wrote any code here. ║ ║ ║ ║ This disclaimer is the ONLY piece of human-written ║ ║ content in this repo. ║ ║ ║ ╚══════════════════════════════════════════════════════════╝ That disclaimer is real. […]

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This study addresses the challenges faced by large language models in complex reasoning tasks, including semantic drift, logical breaks, and adversarial vulnerability, and proposes an adversarially robust generation paradigm based on self-constructed negative samples. The method builds a unified framework composed of latent representation modeling, internal perturbation generation, contrastive consistency constraints, and semantic stability control, enabling the model to identify potential biases and generate structured negative samples during reasoning, thereby forming a continuous internal correction mechanism. The model […]

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arXiv:2602.22223v1 Announce Type: new Abstract: Advances in large language models have accelerated progress in text-to-SQL, methods for converting natural language queries into valid SQL queries. A key bottleneck for developing generalizable text-to-SQL models is the lack of large-scale datasets with sufficient schema and query complexity, domain coverage, and task diversity. We introduce SQaLe: a large-scale semi-synthetic text-to-SQL dataset built on 135,875 relational database schemas expanded from a collection of real-world schemas, SchemaPile. We establish a principled generation pipeline […]

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arXiv:2601.15484v1 Announce Type: new Abstract: Online encyclopedias are central to contemporary information infrastructures and have become focal points of debates over ideological bias. Wikipedia, in particular, has long been accused of left-leaning bias, while Grokipedia, an AI-generated encyclopedia launched by xAI, has been framed as a right-leaning alternative. This paper presents a comparative analysis of Wikipedia and Grokipedia on well-established politically contested topics. Specifically, we examine differences in semantic framing, political orientation, and content prioritization. We find that […]

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“How can AI work to shape a future worth living around the world?” A 2025 – 2026 review through the lens of Knowledge Management, Graphs, Communities, Ontology, Connected Thinking and Pragmatic AI. When OpenAI CEO Sam Altman admitted we’re in an AI bubble in August 2025, I wasn’t surprised. I’d been watching the cracks form for months from my seat running graph technology events, teaching AI courses, and consulting on knowledge management across Europe and beyond. Some people […]

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For many applications, a probability model can be easily expressed as a cumulative distribution functions (CDF) as compared to the use of probability density or mass functions (PDF/PMFs). Cumulative distribution networks (CDNs) have recently been proposed as a class of graphical models for CDFs. One advantage of CDF models is the simplicity of representing multivariate heavy-tailed distributions. Examples of fields that can benefit from the use of graphical models for CDFs include climatology and epidemiology, where data may […]

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