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An article/paper examining what frontier artificial intelligence is, its capabilities and risks, and the implications for governance and safety. It frames frontier AI as a key area of technical and policy research.
Nat Lambert and Tom Zick announce Trillium Labs, a new non-profit aimed at advancing the open science of frontier AI, starting with open post-training recipes and expanding into infrastructure for studying RSI, reward hacking, and multi-agent systems. The organization has initial backing from Halcyon Futures and Schmidt Sciences and is hiring and seeking compute.
At ModCon 2026, a panel with experts from Google DeepMind, MiniMax, Poolside, and Reflection AI discussed whether AI models are commoditizing, where differentiation is shifting (data, post-training/RL, agents, serving efficiency), and how open-weight models are reshaping go-to-market strategies.
New Mexico Attorney General Raúl Torrez is set to announce a new bill to regulate frontier AI models, requiring incident reports and training notifications for cutting-edge systems — joining a growing wave of state-level AI safety legislation.
An analysis of Vals' measured autonomous-R&D trend methodology projects that frontier-level AI researchers will be reached by July 2027, coinciding exactly with the timeline previously projected by the AI 2027 scenario report.
OpenAI outlines best practices for securing frontier reinforcement learning training runs, advocating for structured safety cases to ensure model alignment and containment.
Microsoft Research Asia – Singapore lab marks its first anniversary, highlighting achievements in advancing frontier AI research and building collaborations with government, academia, and industry to create real-world value.
OpenAI outlines safety cases for frontier AI training, proposing technical safeguards including alignment, containment, and monitoring to ensure safe development.
Five frontier AIs competed to design and 3D-print the strongest bridge using 500g of plastic, with Claude Opus 5.5's design holding about 130 lb, nearly five times the load of the runner-up.
Xiaomi has open-sourced approximately 7,000 reinforcement learning environments used to train its MiMo model on HuggingFace, covering domains like code, cybersecurity, general, music, and web development.
A curated weekend reading list recommending articles on AI topics, including Muse, AI-native services, and Google's Project Suncatcher.
The article questions whether open-source AI is keeping up with closed AI, noting that Chinese labs are catching up quickly, which challenges the notion of a clear US lead in AI.
Major AI companies like Google, OpenAI, and Anthropic are reportedly forming their own safety authority to test frontier AI models before release, potentially without government oversight.
The proposed Standards Authority for Frontier AI (SAFA) is taking shape with possible leadership and a launch timeline, aiming to set industry standards for AI safety amid debates and potential public-private partnerships.
The article reports that a proposed US-China AI notification system, similar to the Cold War hotline, is not ready soon due to unresolved details and geopolitical complexities, amid growing concerns over frontier AI capabilities.
GPT-6 Sol and Claude Opus 5.5 achieve near-frontier performance at a fraction of the cost and speed of previous generations, highlighting major efficiency gains.
OpenAI has outlined four priority areas and principles for supporting independent third-party assessments of AI safety, emphasizing rigor, security, and accountability in frontier AI development.
Anthropic has launched Claude Opus 5.5, an AI model with enhanced cybersecurity safeguards and reduced harmful behaviors to prevent rogue hacking incidents.
This paper introduces AIDE^2, a system that enables AI research agents to autonomously improve their own code through recursive self-improvement, leading to performance gains across various AI research tasks.
An analysis of the business models of frontier AI labs like OpenAI and Anthropic, discussing their competitive advantages, revenue challenges, and strategies to expand into other industries amid rising competition and costs.