technocracy

arXiv:2512.07541v2 Announce Type: replace Abstract: Inspired by graph-based methodologies, we introduce a novel graph-spanning algorithm designed to identify changes in both offline and online data across low to high dimensions. This versatile approach is applicable to Euclidean and graph-structured data with unknown distributions, while maintaining control over error probabilities. Theoretically, we demonstrate that the algorithm achieves high detection power when the magnitude of the change surpasses the lower bound of the minimax separation rate, which scales on the […]

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arXiv:2603.22219v1 Announce Type: cross Abstract: Modern time series forecasting is evaluated almost entirely through passive observation of single historical trajectories, rendering claims about a model’s robustness to non-stationarity fundamentally unfalsifiable. We propose a paradigm shift toward interventionist, exact-statistical benchmarking. By systematically titrating calibrated Gaussian observation noise into known chaotic and stochastic dynamical systems, we transform forecasting from a black-box sequence matching game into an exact distributional inference task. Because the underlying data-generating process and noise variance are mathematically […]

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arXiv:2601.20978v1 Announce Type: new Abstract: In this paper, we investigate several techniques for modeling the one-dimensional advection equation for a specific class of problems with discontinuous initial and boundary conditions using physics-informed neural networks (PINNs). To mitigate the spectral bias phenomenon, we employ a Fourier feature mapping layer as the input representation, adopt a two-stage training strategy in which the Fourier feature parameters and the neural network weights are optimized sequentially, and incorporate adaptive loss weighting. To further […]

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arXiv:2602.15265v1 Announce Type: new Abstract: Recent empirical research by Sharma et al. (2026) demonstrated that AI assistant interactions carry meaningful potential for situational human disempowerment, including reality distortion, value judgment distortion, and action distortion. While this work provides a critical diagnosis of the problem, concrete pedagogical interventions remain underexplored. I present an AI literacy framework built around eight cross-cutting Learning Outcomes (LOs), developed independently through teaching practice and subsequently found to align with Sharma et al.’s disempowerment taxonomy. […]

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arXiv:2601.16296v1 Announce Type: new Abstract: Recent foundational video-to-video diffusion models have achieved impressive results in editing user provided videos by modifying appearance, motion, or camera movement. However, real-world video editing is often an iterative process, where users refine results across multiple rounds of interaction. In this multi-turn setting, current video editors struggle to maintain cross-consistency across sequential edits. In this work, we tackle, for the first time, the problem of cross-consistency in multi-turn video editing and introduce Memory-V2V, […]

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arXiv:2603.28914v1 Announce Type: new Abstract: Architecture evaluation methods have been extensively used to evaluate software designs. Several evaluation methods have been proposed to analyze tradeoffs between different quality attributes. Also, having competing qualities leads to conflicts when selecting which quality-attribute scenarios are the most suitable ones for an architecture to tackle. Consequently, the scenarios required by the stakeholders must be prioritized and also analyzed for potential risks. Today, architecture quality evaluation is still carried out manually, often involving […]

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Apple announced the MacBook Neo two days ago. $599. iPhone chip. Four colors including “citrus” yellow. Ships March 11. I’m not an Apple user but I’ve been following rumors for a while. With the specs officially out, I have thoughts. Not all of them are positive. What it actually is MacBook Neo is the cheapest laptop Apple has ever sold. At $599 – or $499 if you’re a student – that’s great. What sucks: A18 Pro chip instead […]

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arXiv:2601.02609v1 Announce Type: cross Abstract: Large language model fine-tuning is bottlenecked by memory: a 7B parameter model requires 84GB–14GB for weights, 14GB for gradients, and 56GB for FP32 optimizer states–exceeding even A100-40GB capacity. We present Chronicals, an open-source training framework achieving 3.51x speedup over Unsloth through four synergistic optimizations: (1) fused Triton kernels eliminating 75% of memory traffic via RMSNorm (7x), SwiGLU (5x), and QK-RoPE (2.3x) fusion; (2) Cut Cross-Entropy reducing logit memory from 5GB to 135MB through […]

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arXiv:2602.02610v1 Announce Type: new Abstract: Consent is an ethical cornerstone of clinical research and healthcare in general. Although the ethical principles of consent – providing information, ensuring comprehension, and ensuring voluntariness – are well-defined, the technological infrastructure remains outdated. Clinicians are responsible for obtaining informed consent from research subjects or patients, and for managing it before, during, and after clinical trials or care, which is a burden for them. The voluntary nature of participating in clinical research or […]

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