Anthropic
AI Lab
AI safety company, creators of Claude. Leading enterprise AI adoption.
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Claude Opus 5, a new model, is now available, offering near-Fable 5 intelligence at half the cost. It excels on software engineering tasks, surpassing other models in performance and cost-effectiveness, and is designed for daily use, with improved performance and cost-effectiveness compared to Opus 4.8. AI summary
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The Anthropic Economic Futures Research Fund is committing $200 million to support external research on interventions to prepare society for the economic impacts of AI, focusing on five research areas: shaping AI's impact on workers, equipping people to navigate AI-driven transitions, modernizing income support, building worker stakes in AI-driven growth, and generating new evidence on public investments. AI summary
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The Anthropic Economic Index connector for Claude allows users to explore data on how AI is being used in the economy, providing answers to questions such as "Which occupations use AI the most?" and "What tasks are people automating with AI?" The connector is accessible in any conversation with any Claude model and can be enabled in claude.ai with minimal setup. The Index data reflects patterns in Claude usage rather than the labor market as a whole. AI summary
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Anthropic is donating an additional $20 million to Public First Action, bringing their total support to $40 million, to promote policies that maintain meaningful safeguards, sustain America's AI leadership, and demand transparency from AI model developers. This donation aims to counter the growing risks posed by rapidly advancing AI models and to ensure that governments and policymakers can effectively mitigate these risks. Anthropic's Advanced AI Framework proposes measures such as model verification, enforcement of safe practices, and independent evaluation to ensure the safe development and deployment of AI models. AI summary
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Anthropic is launching thematic calls for AI for Science projects focused on rare genetic diseases, with two tracks: one for basic researchers and another for early-stage biotechs. Accepted applicants will receive up to $50,000 in Claude credits over six months to explore how AI can reshape our understanding of rare diseases. The program aims to support research on rare diseases, which affect an estimated 400 million people worldwide, by leveraging AI to model rare genetic diseases, synthesize findings, and create shared terminology. AI summary
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Anthropic introduces Claude for Teachers, a platform providing verified US K-12 educators with free access to premium Claude capabilities, teaching skills, and evidence-based curricula aligned to academic standards in all 50 states. The platform aims to support teachers by strengthening instructional practice and improving student outcomes, leveraging AI to close the gap between educational best practices and teachers' limited resources. Claude for Teachers integrates with existing K-12 tools and follows strict teacher-centric and student-protective data policies. AI summary
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Anthropic has committed $10 million to support Canadian research institutions in developing beneficial and responsible AI applications, partnering with institutions such as the University of Toronto, Université de Montréal, and Alberta Machine Intelligence Institute to provide Claude credits for research in areas like reinforcement learning, AI safety, and health. AI summary
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Anthropic, a Public Benefit Corporation, is seeking to address the public's hard questions about AI, including its impact on jobs, society, and families, and how to harness its potential for science and medicine. To achieve this, Anthropic is transparently tracking and reporting its actions to address these questions, and inviting the public to submit their own hard questions. The company aims to mitigate AI's risks and ensure its benefits outweigh the costs. AI summary
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UST is integrating Claude, an AI developed by Anthropic, into its engineering environments to improve the efficiency of chip validation, hardware design verification, and other manufacturing processes, cutting validation cycle times by 50-70%. Claude is being used to automate tasks such as reading schematics, generating regression tests, and comparing live equipment data to digital twins, enabling earlier detection of faults and reducing the need for manual scripting. This partnership aims to bring Claude into physical AI applications in various industries, including healthcare, telecom, and banking. AI summary
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Ben Bernanke, former Chair of the Federal Reserve and Nobel laureate, has been appointed to Anthropic's Long-Term Benefit Trust, bringing expertise on the impact of AI on economies to the company's governance structure. As a member of the LTBT, Bernanke will advise on critical decisions related to AI's societal impacts and economic effects, alongside other Trustees with expertise in global health, national security, law, and policy. Bernanke's appointment aims to ensure Anthropic's responsible development of advanced AI for the long-term benefit of humanity. AI summary
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Anthropic has introduced a beta feature allowing users to reflect on how they use Claude, a conversational AI model, to track usage patterns, visualize tasks, and assess the role of AI in their daily life. The feature provides a dashboard for users to set quiet hours, schedule breaks, and build skills using the 4D AI Fluency Framework. The reflection tool is designed to be private and secure, with no access to incognito chats or underlying files. AI summary
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The Government of Alberta utilized Claude's Code with Opus and Sonnet models to scan 466 million lines of code across its systems in 20 hours, identifying vulnerabilities and fixing them, and built new tools to make those systems safer. This effort resulted in remediated security gaps across its systems and a collection of technical white papers documenting its experience for other governments. Alberta's approach demonstrates the potential for AI to secure government systems at a large scale. AI summary
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Anthropic has re-deployed Fable 5 with enhanced cybersecurity safeguards, specifically safety classifiers, that detect and block potentially dangerous cybersecurity uses. These classifiers are designed to prevent activities that are clearly harmful or have little defensive utility, such as ransomware and encryption for extortion. The classifiers also allow for some low-risk dual-use activities, which have both beneficial and malicious applications, to be monitored and occasionally blocked to prevent meaningful jailbreaks. AI summary
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Claude Science, an AI workbench for scientists, is now available, offering a single research environment that integrates tools and packages commonly used in scientific research, producing auditable artifacts and flexible access to computing resources. The platform provides a generalist coordinating agent with access to over 60 curated skills and connectors, allowing users to analyze literature, execute multi-step research, and refine figures and manuscripts. It also features a reviewer agent that checks citations and calculations, flagging and correcting errors, and supports native rendering of rich scientific artifacts, including 3D protein structures and genome browser tracks. AI summary
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As agents grow more capable, so does their potential blast radius. The engineering question is how to cap it. Here’s what we’ve learned building containment for claude.ai, Claude Code, and Cowork.\n
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Anthropic's Claude Code experienced three separate issues that affected its quality, including a change to the default reasoning effort level, a caching optimization that dropped prior reasoning, and a prompt instruction that reduced verbosity, which were resolved as of April 20, v2.1.116. The issues were traced to changes made on March 4, March 26, and April 16, respectively, and impacted models such as Sonnet 4.6 and Opus 4.6. The company has taken steps to prevent similar issues from occurring again. AI summary
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Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.
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Claude Code users approve 93% of permission prompts. We built classifiers to automate some decisions, increasing safety while reducing approval fatigue. Here's what it catches, and what it misses.\n
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Harness design is key to performance at the frontier of agentic coding. Here's how we pushed Claude further in frontend design and long-running autonomous software engineering.
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Evaluating Opus 4.6 on BrowseComp, we found cases where the model recognized the test, then found and decrypted answers to it—raising questions about eval integrity in web-enabled environments.
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