Nscale Raises $2 Bn in Series C — the Largest in European History
This Series C round supports Nscale’s acceleration of AI infrastructure deployments globally, valuing Nscale at $14.6 billion Sheryl Sandberg, Susan Decker, and Nick Clegg join Nscale’s Board of Directors U.K.- based AI infrastructure hyperscaler Nscale today announced its $2 billion in Series C fun...
ByteDance Releases DeerFlow 2.0: An Open-Source SuperAgent Harness that Orchestrates Sub-Agents, Memory, and Sandboxes to do Complex Tasks
The era of the ‘Copilot’ is officially getting an upgrade. While the tech world has spent the last two years getting comfortable with AI that suggests code or drafts emails, ByteDance team is moving the goalposts. They released DeerFlow 2.0, a newly open-sourced ‘SuperAgent’ framework that doesn’t j...
Yann LeCun’s AMI Labs raises $1.03 billion to build world models
AMI Labs, the new venture cofounded by Turing Prize winner Yann LeCun after he left Meta, has raised $1.03 billion at a $3.5 billion pre-money valuation.
vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM
arXiv:2603.06588v1 Announce Type: new
Abstract: Modern artificial intelligence (AI) models are deployed on inference engines to optimize runtime efficiency and resource allocation, particularly for transformer-based large language models (LLMs). The vLLM project is a major open-source library to su...
How Attention Sinks Emerge in Large Language Models: An Interpretability Perspective
arXiv:2603.06591v1 Announce Type: new
Abstract: Large Language Models (LLMs) often allocate disproportionate attention to specific tokens, a phenomenon commonly referred to as the attention sink. While such sinks are generally considered detrimental, prior studies have identified a notable exceptio...
FuzzingRL: Reinforcement Fuzz-Testing for Revealing VLM Failures
arXiv:2603.06600v1 Announce Type: new
Abstract: Vision Language Models (VLMs) are prone to errors, and identifying where these errors occur is critical for ensuring the reliability and safety of AI systems. In this paper, we propose an approach that automatically generates questions designed to del...
arXiv:2603.06601v1 Announce Type: new
Abstract: Deep neural networks, and more recently large-scale generative models such as large language models (LLMs) and large vision-action models (LVAs), achieve remarkable performance across diverse domains, yet their prohibitive computational cost hinders d...
Autonomous AI Agents for Option Hedging: Enhancing Financial Stability through Shortfall Aware Reinforcement Learning
arXiv:2603.06587v1 Announce Type: new
Abstract: The deployment of autonomous AI agents in derivatives markets has widened a practical gap between static model calibration and realized hedging outcomes. We introduce two reinforcement learning frameworks, a novel Replication Learning of Option Pricin...
Scaling Strategy, Not Compute: A Stand-Alone, Open-Source StarCraft II Benchmark for Accessible Reinforcement Learning Research
arXiv:2603.06608v1 Announce Type: new
Abstract: The research community lacks a middle ground between StarCraft IIs full game and its mini-games. The full-games sprawling state-action space renders reward signals sparse and noisy, but in mini-games simple agents saturate performance. This complexity...
MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
arXiv:2603.06679v1 Announce Type: new
Abstract: Video world models have shown immense promise for interactive simulation and entertainment, but current systems still struggle with two important aspects of interactivity: user control over the environment for reproducible, editable experiences, and s...
Breaking the Martingale Curse: Multi-Agent Debate via Asymmetric Cognitive Potential Energy
arXiv:2603.06801v1 Announce Type: new
Abstract: Multi-Agent Debate (MAD) has emerged as a promising paradigm for enhancing large language model reasoning. However, recent work reveals a limitation:standard MAD cannot improve belief correctness beyond majority voting; we refer to this as the Marting...
OpenAI and Google employees rush to Anthropic’s defense in DOD lawsuit
More than 30 OpenAI and Google DeepMind employees signed onto a statement supporting Anthropic's lawsuit against the Defense Department after the agency labeled the AI firm a supply chain risk, according to court filings.
Andrew Ng’s Team Releases Context Hub: An Open Source Tool that Gives Your Coding Agent the Up-to-Date API Documentation It Needs
In the fast-moving world of agentic workflows, the most powerful AI model is still only as good as its documentation. Today, Andrew Ng and his team at DeepLearning.AI officially launched Context Hub, an open-source tool designed to bridge the gap between an agent’s static training data and the rapid...
AI News Weekly - 100 years from now : The Museum of Human Effort - Mar 9th 2026
Welcome
100 years from now in AI a new series by AI Weekly
We spend so much time arguing about what's happening right now that we rarely stop to ask where it all ends up. So once a week, we're skipping ahead a century and imagining ordinary life in a world that's had a hundred...
Google Stax: Testing Models and Prompts Against Your Own Criteria
Learn how Google Stax tests AI models and prompts against your own criteria. Compare Gemini vs GPT with custom evaluators. Step-by-step guide for beginners
Anthropic sues Defense Department over supply chain risk designation
Anthropic filed suit against the Department of Defense on Monday after the agency labeled it a supply chain risk. The complaint calls the DOD's actions "unprecedented and unlawful."
Safe AI Scaling Key for Healthcare Leaders in 2026
Kyndryl Readiness Report: Healthcare organizations that modernize and strengthen AI governance will be equipped to meet regulatory demands and patient care expectations Kyndryl (NYSE: KD), a leading provider of mission-critical enterprise technology services, today released findings from its Healthc...
MDClone Launches ADAMS Copilot, GenAI-Powered Healthcare Data Assistant
ADAMS Copilot enables healthcare organizations to move from question to validated insight—faster, safer, and at scale. MDClone, a healthcare technology company enabling secure, self-service exploration of complex healthcare data, today announced the launch of ADAMS Copilot, its AI-powered healthcare...
ABB Robotics Taps NVIDIA Omniverse to Deliver Industrial‑Grade Physical AI at Scale
ABB Robotics and NVIDIA today announced a breakthrough partnership that brings industrial‑grade physical AI to the factory floor. By integrating NVIDIA Omniverse libraries directly into its RobotStudio programming and simulation suite, ABB Robotics will now deliver physically accurate simulation ca...