arXiv:2602.18449v1 Announce Type: new Abstract: We propose a diffusion-based framework for prompt optimization that leverages Diffusion Language Models (DLMs) to iteratively refine system prompts through masked denoising. By conditioning on interaction traces, including user queries, model responses, and optional feedback, our method enables flexible, span-level prompt updates without requiring gradient access or modifying the downstream language model. Across diverse benchmarks (e.g., $tau$-bench, SST-2, SST-5), DLM-optimized prompts consistently improve the performance of a frozen target LLM (e.g., GPT-4o-mini). We […]

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Published on December 26, 2025 4:37 PM GMT A key risk factor for scheming (and misalignment more generally) is opaque reasoning ability. One proxy for this is how good AIs are at solving math problems immediately without any chain-of-thought (CoT) (as in, in a single forward pass). I’ve measured this on a dataset of easy math problems and used this to estimate 50% reliability no-CoT time horizon using the same methodology introduced in Measuring AI Ability to Complete […]

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arXiv:2601.08836v1 Announce Type: new Abstract: Post-Traumatic Stress Disorder (PTSD) is a multifaceted mental health condition, particularly challenging for individuals with pre-existing medical conditions. This review critically examines the intersection of PTSD and chronic illnesses as expressed on social media platforms. By systematically analyzing literature from 2008 to 2024, the study explores how PTSD manifests and is managed in individuals with chronic conditions such as cancer, heart disease, and autoimmune disorders, with a focus on online expressions on platforms […]

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arXiv:2602.21327v1 Announce Type: new Abstract: Individuals with similar qualifications and skills may vary in their demeanor, or outward manner: some tend toward self-promotion while others are modest to the point of omitting crucial information. Comparing the self-descriptions of equally qualified job-seekers with different self-presentation styles is therefore problematic. We build an interactive AI for skill elicitation that provides accurate determination of skills while simultaneously allowing individuals to speak in their own voice. Such a system can be deployed, […]

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“Social reputation” keeps turning up on every timeline with the confidence of a solved problem. It’s pitched as the missing layer. The thing that will finally let DeFi graduate from over-collateralized lending into something resembling real credit. The thing that will make identity usable without surrendering to surveillance. The thing that will push the ecosystem toward maturity—clean it up, make it legible, make it safer. I understand the itch. DeFi has spent years pretending that credit is an […]

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arXiv:2603.26097v1 Announce Type: cross Abstract: Efficiently aggregating spatial or temporal horizons to acquire compact representations has become a unifying principle in modern deep learning models, yet learning data-adaptive representations for long-horizon sequence data, especially continuous sequences like time series, remains an open challenge. While fixed-size patching has improved scalability and performance, discovering variable-sized, data-driven patches end-to-end often forces models to rely on soft discretization, specific backbones, or heuristic rules. In this work, we propose Reinforcement Patching (ReinPatch), the […]

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The launch of the Elon Musk Grok has caused a massive storm within the AI community. Grok is an xAI-powered tool, connected with X (formerly Twitter), and its sole purpose is to improve the level of engagement and intelligence of the chatbot. But the big question is, what are the different Grok AI versions, and why is it important to know the differences before using them? This Grok AI Review will go into detail about Grok 1.0 to […]

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arXiv:2602.21444v1 Announce Type: new Abstract: 6G is deemed as a key technology to support emerging applications with stringent requirements for highly dependable and timecritical communication. In this paper, we investigate 6G networks integrated with TSN and how to compensate for wireless stochastic behavior which involves a large intrinsic packet delay variation. We evaluate a 6G solution to reduce packet delay variation that is based on de-jittering. For this, we propose to use virtual timeslots for providing the required […]

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arXiv:2512.21451v2 Announce Type: replace Abstract: Being infinite dimensional, non-parametric information geometry has long faced an “intractability barrier” due to the fact that the Fisher-Rao metric is now a functional incurring difficulties in defining its inverse. This paper introduces a novel framework to resolve the intractability with an Orthogonal Decomposition of the Tangent Space ($T_fM = S oplus S^{perp}$), where $S$ represents an observable covariate subspace. Through the decomposition, we derive the Covariate Fisher Information Matrix (cFIM), denoted as […]

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