Introducing Claude Opus 4.7
…It cuts the friction from those multi-step tasks so developers can stay in the flow and focus on building. Based on our internal research-agent benchmark, Claude Opus 4.7 has…
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Why does agentic misalignment happen?
Before we started this research, it was not clear where the misaligned behavior was coming from. Our main two hypotheses were: Our post-training process was accidentally encouraging this behavior with misaligned rewards.This behavior was coming from the pre-trained model and our post-training was failing to sufficiently discourage it. We now believe that (2) is largely responsible. Specifically, at the time of Claude 4’s training, the vast majority of our alignment training was standard chat-based Reinforcement Learning from Human Feedback RLHF data that did not include any agentic tool use. T
Teaching Claude whyNatural Language Autoencoders
…Related content Teaching Claude why New research on how we've reduced agentic misalignment. Donating our open-source alignment tool Focus areas for The Anthropic Institute At The Anthropic Institute (TAI), we…
KPMG integrates Claude across its core business and workforce of more than 276,000 in strategic alliance
…With Claude Cowork and Managed Agents embedded inside it, KPMG professionals and their clients can build new AI capabilities directly in the platform—work that used to mean jumping between tools, chat…
Sydney will become Anthropic’s fourth office in Asia-Pacific
…built with respect for the unique goals, opportunities, and challenges of the region.” Our initial focus will be supporting our enterprise, startup, and research customers. Anthropic already works with some of Australia…
Long-running Claude for scientific computing
Science Long-running Claude for scientific computing Mar 23, 2026 In this post, Siddharth Mishra-Sharma , a researcher on the Discovery team, explains how to apply multi-day agentic coding workflows—test…
How we contain Claude across products
…1 The second approach to capping the blast radius—and the focus of much of this post—is containment. Rather than supervising what the agent does, we supervise what it’s able…
Introducing The Anthropic Institute
…Public Policy focuses on the areas where Anthropic has defined priorities and perspectives, including model safety and transparency , energy ratepayer protections , infrastructure investments , export controls , and democratic leadership in AI . Sarah Heck…
Building Effective AI Agents
Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.
The Long-Term Benefit Trust
…AI Safety Institute . In January 2026, Kanika Bahl stepped down to begin a new nonprofit, the AI Access Initiative , and Zach Robinson stepped down to focus on non-profit and philanthropic work…
Partnering with Mozilla to improve Firefox’s security
…a trusted method of confirming whether an AI agent’s output actually achieves its goal. Task verifiers give the agent real-time feedback as it explores a codebase, allowing it to iterate…