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arXiv:2602.12482v1 Announce Type: new Abstract: We give a geometric construction of neural networks that separate disjoint compact subsets of $\Bbb R^n$, and use it to obtain a constructive universal approximation theorem. Specifically, we show that networks with two hidden layers...

arXiv:2602.12517v1 Announce Type: new Abstract: The intersection of Mean Field Games (MFGs) and Reinforcement Learning (RL) has fostered a growing family of algorithms designed to solve large-scale multi-agent systems. However, the field currently lacks a standardized evaluation protocol, forcing researchers...

arXiv:2602.12683v1 Announce Type: new Abstract: We reformulate Optimal Transport Conditional Flow Matching (OT-CFM), a class of dynamical generative models, showing that it admits an exact proximal formulation via an extended Brenier potential, without assuming that the target distribution has a...

The Center for AI Safety is offering grants for philosophers to pursue research in conceptual AI safety.

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.

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.

The AI-facilitated intelligence revolution is claimed by some to be setting humanity on a glidepath into utopian futures of nearly effortless satisfaction and frictionless choice. We should beware.

The fourth of our 'AI Safety Breakfasts' event series, featuring Dr. Rumman Chowdhury on algorithmic auditing, "right to repair" AI systems, and the AI Safety and Action Summits.

Over 140 countries have agreed to the introduction of a Global Minimum Tax (GMT), widely regarded as the most significant reform of the international business tax system in a century. While acknowledging that the agreement constitutes a remarkable political and...

FTC claims Apple News suppresses conservatives, cites study by pro-Trump group.

The Verge is about technology and how it makes us feel. Founded in 2011, we offer our audience everything from breaking news to reviews to award-winning features and investigations, on our site, in video, and in podcasts.

The Verge’s latest insights into the ideas shaping the future of work, finance, and innovation. Here you’ll find scoops, analysis, and reporting across some of the most influential companies in the world.

OpenAI kicked off an AI revolution with DALL-E and ChatGPT, making the organization the epicenter of the artificial intelligence boom. Led by CEO Sam Altman, OpenAI became a story unto itself when Altman was briefly fired and then brought back...

Cybersecurity is the rickety scaffolding supporting everything you do online. For every new feature or app, there are a thousand different ways it can break – and a hundred of those can be exploited by criminals for data breaches, identity...

Cinema isn’t just about the latest Disney/Pixar project or Star Wars spin-off. Memorable storytelling is happening all over the film industry, from Hollywood’s box-office-busting superhero smashes to small, innovative indie experiments. The Verge’s film section is here to help you...

Artificial intelligence is more a part of our lives than ever before. While some might call it hype and compare it to NFTs or 3D TVs, AI is causing a sea change in nearly every part of the technology industry....

Verge Science is here to bring you the most up-to-date space news and analysis, whether it’s about the latest findings from NASA or comprehensive coverage of the next SpaceX rocket launch to the International Space Station. We’ll take you inside...

arXiv:2602.13280v1 Announce Type: new Abstract: Simulating student learning behaviors in open-ended problem-solving environments holds potential for education research, from training adaptive tutoring systems to stress-testing pedagogical interventions. However, collecting authentic data is challenging due to privacy concerns and the high...

arXiv:2602.13516v1 Announce Type: new Abstract: LLM-powered agents are beginning to automate user's tasks across the open web, often with access to user resources such as emails and calendars. Unlike standard LLMs answering questions in a controlled ChatBot setting, web agents...

arXiv:2602.13665v1 Announce Type: new Abstract: While agentic AI systems rely on LLMs to translate user intent into structured function calls, this process is fraught with computational redundancy, leading to high inference latency that hinders real-time applications. This paper identifies and...

arXiv:2602.15212v1 Announce Type: new Abstract: In this paper, we introduce a secure wireless agentic AI network comprising one supervisor AI agent and multiple other AI agents to provision quality of service (QoS) for users' reasoning tasks while ensuring confidentiality of...

arXiv:2602.17700v1 Announce Type: cross Abstract: Differentiable Neural Architecture Search (NAS) provides efficient, gradient-based methods for automatically designing neural networks, yet its adoption remains limited in practice. We present MIDAS, a novel approach that modernizes DARTS by replacing static architecture parameters...

arXiv:2602.18671v1 Announce Type: new Abstract: We reinterpret the final Large Language Model (LLM) softmax classifier as an Energy-Based Model (EBM), decomposing the sequence-to-sequence probability chain into multiple interacting EBMs at inference. This principled approach allows us to track "energy spills"...

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...

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...