technocracy

arXiv:2602.03394v1 Announce Type: new Abstract: Deep neural networks (DNNs) often produce overconfident out-of-distribution predictions, motivating Bayesian uncertainty quantification. The Linearized Laplace Approximation (LLA) achieves this by linearizing the DNN and applying Laplace inference to the resulting model. Importantly, the linear model is also used for prediction. We argue this linearization in the posterior may degrade fidelity to the true Laplace approximation. To alleviate this problem, without increasing significantly the computational cost, we propose the Quadratic Laplace Approximation (QLA). […]

Ver mais

arXiv:2601.09808v1 Announce Type: new Abstract: Variable scoping dictates how and where variables are accessible within programming languages, playing a crucial role in code efficiency and organization. This paper examines the distinct scoping rules in SAS and R, focusing on SAS’s dynamic scoping and R’s lexical scoping. In SAS, dynamic scoping utilizes symbol tables, resolving variables at runtime by dynamically searching through active macro layers. R, in contrast, employs lexical scoping, using environments to resolve variables based on the […]

Ver mais

arXiv:2601.20980v1 Announce Type: new Abstract: Empirical studies of research software are hard to compare because the literature operationalizes “research software” inconsistently. Motivated by the research software supply chain (RSSC) and its security risks, we introduce an RSSC-oriented taxonomy that makes scope and operational boundaries explicit for empirical research software security studies. We conduct a targeted scoping review of recent repository mining and dataset construction studies, extracting each work’s definition, inclusion criteria, unit of analysis, and identification heuristics. We […]

Ver mais

arXiv:2602.20167v1 Announce Type: new Abstract: Teaching assembly programming is a fundamental component of undergraduate computer science education, yet many students struggle with its abstract and low-level concepts. Existing learning tools, such as simulators and visualisers, support understanding by exposing machine states. However, they often limit students to passive observation and provide few opportunities for meaningful interaction. To address these limitations, we introduce Playsemble, a gamified learning system that transforms assembly instructions into interactive, game-like tasks in which students […]

Ver mais

I handle over 50 emails every day. At first, I assumed that AI would merely help me speed up my response time. And indeed, it did just that. However, after a while, I began to feel that something was off. Although the replies were clearly worded, polite, and efficient. When AI Replies Stop Sounding Like You Most advice about using AI for email focuses on speed. Write faster, clear your inbox, move on. That works until every message […]

Ver mais

arXiv:2604.21932v1 Announce Type: new Abstract: Digitalization has fundamentally transformed human system interaction in nuclear main control rooms, yet the quantitative mechanisms by which interfaces amplify procedural risks remain insufficiently understood. This study presents a systematic assessment of interface procedure coupling based on real operational events collected from 2021 to 2025 in a modern nuclear power plant. A reusable three dimensional labeling framework and a four factor interface mechanism model are developed to characterize layout, semantic, mismatch, and labeling […]

Ver mais

Matter naturally complexifies, life evolves toward consciousness, and millions of galaxies exist. With these three facts, Teilhard logically implies millions of intelligent civilizations throughout the universe. This challenges Christian theology’s assumption of Earth’s uniqueness. Rather than retreat, he proposes embracing a cosmic Christ who centers all conscious life across the entire universe.

Ver mais

Modeling causal relationships in graph representation learning remains a fundamental challenge. Existing approaches often draw on theories and methods from causal inference to identify causal subgraphs or mitigate confounders. However, due to the inherent complexity of graph-structured data, these approaches frequently aggregate diverse graph elements into single causal variables, an operation that risks violating the core assumptions of causal inference. In this work, we prove that such aggregation compromises causal validity. Building on this conclusion, we propose a […]

Ver mais

arXiv:2603.09993v1 Announce Type: new Abstract: Pragmatic reasoning, inferring intended meaning beyond literal semantics, underpins everyday communication yet remains difficult for large language models. We present the Contextual Emotional Inference (CEI) Benchmark: 300 human-validated scenarios for evaluating how well LLMs disambiguate pragmatically complex utterances. Each scenario pairs a situational context and speaker-listener roles (with explicit power relations) against an ambiguous utterance. The dataset covers five pragmatic subtypes (sarcasm/irony, mixed signals, strategic politeness, passive aggression, deflection/misdirection) drawn from workplace, family, […]

Ver mais