Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
arXiv:2602.12384v2 Announce Type: cross Abstract: Understanding why gradient-based training in deep networks exhibits strong implicit bias remains challenging, in part because tractable singular-value dynamics are typically available only for balanced deep linear models. We propose an alternative route based on...
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
arXiv:2602.12430v2 Announce Type: cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in how large language models (LLMs) are deployed in practice. Rather than encoding all procedural knowledge within model weights, agent skills...
A Machine Learning Approach to the Nirenberg Problem
arXiv:2602.12368v1 Announce Type: new Abstract: This work introduces the Nirenberg Neural Network: a numerical approach to the Nirenberg problem of prescribing Gaussian curvature on $S^2$ for metrics that are pointwise conformal to the round metric. Our mesh-free physics-informed neural network...
Metaphors we judge (AI) by: a rhetorical analysis of artificial copyright disputes
Abstract This article is a ‘metaphorical’ guide to today’s most pressing artificial intelligence (AI) copyright questions, focusing in particular on the EU and the USA. Is unauthorized training on copyright-protected works permitted? Can AI models copy? And is AI-generated output...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations - ACL Anthology
Blacks of the American Society of International Law
Republicans urge Supreme Court to restore New York congressional map
A Republican member of Congress, a group of voters, and New York election officials asked the Supreme Court to allow the state to proceed with the 2026 elections using its […]The postRepublicans urge Supreme Court to restore New York congressional...
Report Alleged Copyright Infringement
Stanford has designated an agent to receive notifications of alleged copyright infringement in the stanford.edu, stanford.org, stanford.com, sup.org, and supdigital.org domains. If you believe your copyrighted work is being infringed on a Stanford site, please notify the Stanford Information Security...
Philosophy Fellowship 2023 | CAIS Project
The Center for AI Safety is offering grants for philosophers to pursue research in conceptual AI safety.
AI Safety, Ethics and Society Course
The AI Safety, Ethics, and Society Course would be held virtually and be completely free. It would be part-time and we expect that it will require a time commitment of 3-5 hours per week for 10 weeks.
Artificial Power: 2025 Landscape Report - AI Now Institute
In the aftermath of the “AI boom,” this report examines how the push to integrate AI products everywhere grants AI companies - and the tech oligarchs that run them - power that goes far beyond their deep pockets.
Publications Archives - AI Now Institute
North Star Data Center Policy Toolkit: State and Local Policy Interventions to Stop Rampant AI Data Center Expansion - AI Now Institute
Welcome to theDelaware Journal of Corporate Law
Netflix
With nearly 150 million subscribers around the world, Netflix has a commanding lead in the streaming wars. But it’s also facing heavy competition from deep-pocketed conglomerates like Disney, Apple, and AT&T, and an ongoing wave of narrow, targeted streaming sites...
Politics
Big tech companies tend to make a lot of enemies — but there are none more powerful than the US government. Apple, Google, Amazon, and Meta are regularly called in front of Congress to fend off monopoly accusations — and...
Creators
YouTube, Instagram, SoundCloud, and other online platforms are changing the way people create and consume media. The Verge’s Creators section covers the people using these platforms, what they’re making, and how those platforms are changing (for better and worse) in...
Mirror: A Multi-Agent System for AI-Assisted Ethics Review
arXiv:2602.13292v1 Announce Type: new Abstract: Ethics review is a foundational mechanism of modern research governance, yet contemporary systems face increasing strain as ethical risks arise as structural consequences of large-scale, interdisciplinary scientific practice. The demand for consistent and defensible decisions...
Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO
arXiv:2602.17686v1 Announce Type: cross Abstract: Distilling Chain-of-Thought (CoT) reasoning from large language models into compact student models presents a fundamental challenge: teacher rationales are often too verbose for smaller models to faithfully reproduce. Existing approaches either compress reasoning into single-step,...
The Convergence of Schema-Guided Dialogue Systems and the Model Context Protocol
arXiv:2602.18764v1 Announce Type: new Abstract: This paper establishes a fundamental convergence: Schema-Guided Dialogue (SGD) and the Model Context Protocol (MCP) represent two manifestations of a unified paradigm for deterministic, auditable LLM-agent interaction. SGD, designed for dialogue-based API discovery (2019), and...
Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking)
arXiv:2602.18918v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used as scientific copilots, but evidence on their role in research-level mathematics remains limited, especially for workflows accessible to individual researchers. We present early evidence for vibe-proving with a...
Beyond Behavioural Trade-Offs: Mechanistic Tracing of Pain-Pleasure Decisions in an LLM
arXiv:2602.19159v1 Announce Type: new Abstract: Prior behavioural work suggests that some LLMs alter choices when options are framed as causing pain or pleasure, and that such deviations can scale with stated intensity. To bridge behavioural evidence (what the model does)...
Artificial Intelligence for Modeling & Simulation in Digital Twins
arXiv:2602.19390v1 Announce Type: new Abstract: The convergence of modeling & simulation (M&S) and artificial intelligence (AI) is leaving its marks on advanced digital technology. Pertinent examples are digital twins (DTs) - high-fidelity, live representations of physical assets, and frequent enablers...
INSURE-Dial: A Phase-Aware Conversational Dataset \& Benchmark for Compliance Verification and Phase Detection
arXiv:2602.18448v1 Announce Type: new Abstract: Administrative phone tasks drain roughly 1 trillion USD annually from U.S. healthcare, with over 500 million insurance-benefit verification calls manually handled in 2024. We introduce INSURE-Dial, to our knowledge the first public benchmark for developing...