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Introducing Claude for Teachers
We're introducing Claude for Teachers, providing verified K-12 educators in the US free access to premium Claude capabilities, a library of teaching skills, and a direct connection to evidence-based curricula, mapped to academic standards in all 50 states.
Anthropic commits $10 million to Canadian AI research
Anthropic is committing $10M to Canadian research institutions to fund the next generation of AI research.
How Canada uses Claude
Adoption of Claude is high in Canada. Based on a sample of Claude.ai conversations in February 2026, 2.6% of global traffic is in Canada. Adjusting for population, its Anthropic AI Usage Index (AUI) is 4.4, which implies that usage per capita is more than four times higher than would be expected based on its working-age population. Among the top ten countries that lead in terms of overall Claude u
How Claude's values vary by model and language
We analyzed 300,000 real conversations to measure the values Claude expresses across models and languages, compressed into four interpretable axes.
UST is bringing Claude to physical AI
Before a factory commits to manufacturing millions of chips, engineers stress-test the design in the fab. Before a product ships, a fault on the assembly line has to be caught before it becomes a recall. When AI does this kind of work, it’s called physical AI: intelligence built into the equipment and engineering processes that produce the things people use.
How Claude Performs on Robotics Tasks
Do language models’ strengths transfer to robotics? Can a model perceive a scene, understand a particular robot’s state, and issue actions that reliably effect change in the physical world? We ran tests to find out.
Frontier Red Team
Anthropic's Frontier Red Team stress-tests AI systems to understand the full extent of their current capabilities and anticipate what comes next. We provide evidence-based analysis about AI’s implications for cybersecurity, national security, and autonomous systems.
Ben Bernanke appointed to Anthropic’s Long-Term Benefit Trust
Anthropic's Long-Term Benefit Trust (LTBT) has appointed Dr. Ben Bernanke, a Distinguished Fellow at the Brookings Institution and former Chair of the Federal Reserve, as its newest member. He joins an independent body that works to hold Anthropic to its mission: the responsible development of advanced AI for the long-term benefit of humanity.
Inviting hard questions
We're asking the public for their hardest questions about AI, and committing to show our work as we address them.
A new way to reflect on how you use Claude
Introducing a new way to reflect on and refine how you use Claude. It lets you easily track and visualize how you use Claude, and decide whether that time aligns with your goals.
An off switch for dual use knowledge in AI models
New results on a method of controlling access to potentially dangerous AI capabilities
Government of Alberta uses Claude to find and fix cybersecurity vulnerabilities
The Government of Alberta has been using Claude Code with both Opus and Sonnet models to review its systems, find vulnerabilities, and fix them.
A global workspace in language models
Interpretability research on Claude's internal thoughts.
More details on Fable 5’s cyber safeguards and our jailbreak framework
What is and isn't blocked by our cyber classifiers, and a first draft of our jailbreak severity framework
Introducing Claude Sonnet 5
Our most agentic Sonnet yet, with top-tier intelligence for coding and everyday professional work.
Redeploying Claude Fable 5
Anthropic is redeploying Claude Fable 5 starting July 1 following the lifting of export controls, with updated cybersecurity safeguards and a new industry jailbreak framework.
Claude Science, an AI workbench for scientists
Claude Science is a customizable app that integrates the tools and packages researchers most often use, produces auditable artifacts, and provides flexible access to computing resources.
Anthropic Economic Index report: Cadences
In the latest Anthropic Economic Index report, we look at when people come to Claude, what they produce with it, and how they perceive AI’s impact on their work.
Project Fetch: Phase two
Results from our latest test of whether Claude can help Anthropic employees perform sophisticated robotics tasks. We found that Claude Opus 4.7, operating without human assistance, was about 20 times faster than the fastest human team at all tasks completed by participants less than a year ago.
Anthropic opens Seoul office
Anthropic opens in Seoul and announces new partnerships across the Korean AI ecosystem.
How Claude Code is used in practice
New Anthropic research looking at interactive agentic coding. We evaluate the composition of tasks, human-AI collaboration, and success rates.
Statement on the US government directive to suspend access to Fable 5 and Mythos 5
The US government has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States.
Results from first Anthropic Public Record
Anthropic Public Record is a national survey of attitudes and opinions towards AI.
TCS and Anthropic bring Claude to regulated industries
Anthropic is announcing a partnership with Tata Consultancy Services (TCS). TCS will provide Claude to 50,000 of its own employees across 56 countries; build Claude-powered products for clients in financial services, healthcare, the public sector, and other regulated industries; and join the Claude Partner Network.
DXC integrates Claude into systems regulated industries rely on
Anthropic is announcing a multi-year global alliance with DXC Technology, one of the world’s largest IT services companies.
Introducing Claude Corps
Anthropic is launching Claude Corps, a national fellowship program for people early in their careers who are passionate about extending the benefits of AI to communities across America.
Claude Fable 5 and Claude Mythos 5
Today we’re launching Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Paving the way for AI agents in biology
In this Anthropic Science post, Laura Luebbert argues that we need to make biological data infrastructure more agent-friendly.
Measuring LLMs' impact on N-day exploits
In cybersecurity, a large fraction of real-world harm comes from N-days: vulnerabilities that have already been publicly disclosed, but only patched on some devices. In this post, we evaluate how much large language models can accelerate and automate the process of developing N-day exploits.
Making Claude a chemist
Anthropic is working with world-class synthetic, computational, and analytical chemists to make Claude better at chemistry. In this post, we share our first work as part of this effort.
Mapping AI-enabled cyber threats
We’ve spent the past year investigating how threat actors are weaponizing AI to conduct cyber operations. Today, we’re sharing a new analysis that maps these real-world attacks onto the MITRE ATT&CK framework, a database of tactics and techniques used by cyberattackers.
Introducing the Services Track and Partner Hub of the Claude Partner Network
In March, we launched the Claude Partner Network, a program for the firms that help enterprises put Claude into production.. Today, we’re announcing two new components that make this ecosystem easier for customers to navigate.
What we learned mapping a year’s worth of AI-enabled cyber threats
As AI transforms the nature of and methods behind cyberattacks, how well do the techniques and frameworks used by the security community hold up? In a new report, we seek to answer that question.
Expanding Project Glasswing
We’re extending Project Glasswing to approximately 150 new organizations in more than fifteen countries
Anthropic confidentially submits draft S-1 to the SEC
Anthropic has confidentially submitted a draft S-1 registration statement to the Securities and Exchange Commission
Anthropic raises $65B in Series H funding at $965B post-money valuation
Anthropic has raised $65 billion in Series H funding led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital.
Introducing Claude Opus 4.8
Our latest model, Claude Opus 4.8, is an upgrade to our Opus class of models, with stronger performance across coding, agentic tasks, and professional work, and the consistency to handle long-running work.
Anthropic opens Milan office to support Italian enterprise, research, and developers
We're opening a new office in Milan, our sixth in Europe.
Coding agents in the social sciences
Results from a survey of 1,260 social scientists about AI and coding agent use.
Anthropic appoints KiYoung Choi as Representative Director of Korea
KiYoung Choi is joining Anthropic as Representative Director of Korea, ahead of the opening of our Seoul office.
Anthropic co-founder Chris Olah's remarks on Pope Leo XIV's encyclical "Magnifica humanitas"
The full text of Chris Olah's remarks on the Pope's encyclical on AI.
How we contain Claude across products
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.
Project Glasswing: An initial update
An early update on what we've learned from Project Glasswing.
Measuring LLMs’ ability to develop exploits
We've developed two new, challenging academic benchmarks measuring AI models’ ability to develop exploits, and an updated version of the benchmark measuring smart contract exploitation.
Widening the conversation on frontier AI
Over the past several months, we’ve been organizing dialogues with groups whose work and traditions bear on the questions raised by AI.
KPMG integrates Claude across its core business and workforce of more than 276,000 in strategic alliance
KPMG—one of the world's largest professional services firms for audit, tax, legal, and advisory services across 138 countries and territories—has announced a global alliance with Anthropic to bring Claude into the heart of its business.
Anthropic acquires Stainless
The frontier of AI is shifting from models that answer to agents that act—and agents are only as capable as the systems they can reach. Today, Anthropic is acquiring Stainless, a leader in SDKs and MCP server tooling, to extend that reach even further.
2028: Two scenarios for global AI leadership
Our views on the AI competition between the US and China.
PwC is deploying Claude to build technology, execute deals, and reinvent enterprise functions for clients
Anthropic and PwC today announced an expansion of their strategic alliance, deepening how PwC uses Claude to build technology, execute deals, and reinvent enterprise functions for clients across every industry it serves. Most enterprises are still running on systems and processes built for a pre-AI world—a drag that is estimated to be more than $2 trillion. Together, Anthropic and PwC are helping
Anthropic partners with the Gates Foundation
Anthropic is partnering with the Gates Foundation to commit $200 million in grant funding, Claude usage credits, and technical support for programs in global health, life sciences, education, and economic mobility over the next four years.
Introducing Claude for Small Business
We're launching Claude for Small Business, a package of connectors and ready-to-run workflows that put Claude inside the tools small businesses use every day.
Alignment Research
Can Claude develop, test, and analyze alignment ideas of its own? We ran an experiment to find out.
Natural Language Autoencoders
AI models like Claude talk in words but think in numbers. In this study, we train Claude to translate its thoughts into human-readable text.
Interpretability Research
AI models like Claude talk in words but think in numbers. In this study, we train Claude to translate its thoughts into human-readable text.
Donating our open-source alignment tool
Updating Petri to version 3.0 and donating it to Meridian Labs
Focus areas for The Anthropic Institute
At The Anthropic Institute (TAI), we’ll be using the information we can access from within a frontier lab to investigate AI’s impact on the world, and sharing our learnings with the public. Here, we’re sharing the questions that drive our research agenda.
Higher usage limits for Claude and a compute deal with SpaceX
We’ve raised Claude's usage limits and agreed a new compute partnership with SpaceX that will substantially increase our capacity in the near term.
Agents for financial services
We're releasing ten new Cowork and Claude Code plugins, integrations with the Microsoft 365 suite, new connectors, and an MCP app for financial services and insurance organizations.
Building a new enterprise AI services company with Blackstone, Hellman & Friedman, and Goldman Sachs
Anthropic, Blackstone, Hellman & Friedman, and Goldman Sachs announced the formation of a new AI services company. The organization will work with mid-sized companies across sectors to bring Claude into their most important operations. Applied AI engineers from Anthropic will work alongside the firm’s engineering team to identify where Claude can have the most impact, build custom solutions, and s
How people ask Claude for personal guidance
We look at what types of guidance people ask of Claude, and describe how this research shaped the training of our newest models.
Evaluating Claude’s bioinformatics research capabilities with BioMysteryBench
In this post, Brianna, a researcher on the discovery team, shares results from a recent bioinformatics benchmarking effort.Almost as soon as large language models could hold a conversation, people started asking how they’d stack up against human experts. Could models pass the bar exam? Could they answer medical licensing questions, or solve Olympiad math problems? Such benchmarks—self-contained se
Claude for Creative Work
Creative professionals look to technology to expand what's possible in their work. Claude can't replace taste or imagination, but it can open up new ways of working—faster and more ambitious ideation, a more expansive skill set, and the ability for creatives to take on larger-scale projects. AI can also help shoulder the parts of the creative process that eat up time by handling repetitive tasks a
Anthropic Sydney office
Theo Hourmouzis is joining Anthropic as General Manager of Australia and New Zealand, marking the next step in our investment in the region. Hourmouzis will meet with customers and partners this week alongside executives from our global team, as we officially open our Sydney office.
An update on our election safeguards
People around the world turn to Claude for information about political parties, candidates, and the issues at stake during election time—as well as to answer simpler questions like when, where, and how to vote. In our view, if AI models can answer these questions well (that is, accurately and impartially), they can be a positive force for the democratic process.
Anthropic and NEC partner to build AI-native engineering at scale in Japan
NEC will deploy Claude to 30,000 employees and become Anthropic's first Japan-based global partner, co-developing AI products for finance, manufacturing, and government
An update on recent Claude Code quality reports
We traced recent reports of Claude Code quality issues to three separate changes. Here's what happened and what we're changing.
Announcing the Anthropic Economic Index Survey
The Economic Research team is launching the Anthropic Economic Index Survey, a monthly survey conducted through Anthropic Interviewer.
What 81,000 people told us about the economics of AI
Anthropic's recent survey of 81,000 Claude users provides a way to connect people’s economic concerns with what we’ve quantified in Claude traffic.
Anthropic and Amazon expand collaboration for up to 5 gigawatts of new compute
We have signed a new agreement with Amazon that will deepen our existing partnership and secure up to 5 gigawatts (GW) of capacity for training and deploying Claude, including new Trainium2 capacity coming online in the first half of this year and nearly 1GW total of Trainium2 and Trainium3 capacity coming online by the end of 2026.
Introducing Claude Design by Anthropic Labs
Today, we’re launching Claude Design, a new Anthropic Labs product that lets you collaborate with Claude to create polished visual work like designs, prototypes, slides, one-pagers, and more.
Introducing Claude Opus 4.7
Our latest model, Claude Opus 4.7, is now generally available. Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks.
Anthropic’s Long-Term Benefit Trust appoints Vas Narasimhan to Board of Directors
Vas Narasimhan has been appointed to Anthropic's Board of Directors by the Anthropic Long-Term Benefit Trust. He is a physician-scientist and the Chief Executive Officer of Novartis—one of the world's leading innovative medicines companies—and shares Anthropic’s conviction that healthcare and life sciences are among the areas where AI has the greatest potential to improve the quality of human life
Automated Alignment Researchers: Using large language models to scale scalable oversight
Large language models’ ever-accelerating rate of improvement raises two particularly important questions for alignment research.
Trustworthy agents in practice
AI “agents” represent the latest major shift in how people and organizations are using AI. A couple of years ago, AI models were only broadly available as chatbots—simple question-and-answer machines. Now, through products like Claude Code and Claude Cowork, AI models can do much more: they can write and execute code, manage files, and complete tasks that span multiple applications. This represent
Scaling Managed Agents: Decoupling the brain from the hands
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.
Assessing Claude Mythos Preview’s cybersecurity capabilities
Claude Mythos Preview is a new general-purpose language model that is strikingly capable at computer security tasks. This post provides technical details for researchers and practitioners who want to understand exactly how we have been testing this model, and what we have found over the past month.
Anthropic expands partnership with Google and Broadcom for multiple gigawatts of next-generation compute
We have signed a new agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity that we expect to come online starting in 2027. This significant expansion of our compute infrastructure will power our frontier Claude models and help us serve extraordinary demand from customers worldwide.
Emotion concepts and their function in a large language model
All modern language models sometimes act like they have emotions. What’s behind these behaviors? Our interpretability team investigates.
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic is expanding to Australia. We’re opening a new office in Sydney in the coming weeks, and we’ve signed a Memorandum of Understanding with the Australian government to cooperate on AI safety research and support the goals of Australia’s National AI Plan. To mark the occasion, we thought we’d look more closely into how Australians are using Claude.
Australian government and Anthropic sign MOU for AI safety and research
Today, Anthropic signed a Memorandum of Understanding with the Australian government to cooperate on AI safety research and support the goals of Australia’s National AI Plan. Our CEO, Dario Amodei, met with Prime Minister Anthony Albanese to formalize the agreement during a visit to Canberra, Australia. We also announced AUD$3 million in partnerships with leading Australian research institutions t
How we built Claude Code auto mode: a safer way to skip permissions
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.
Harness design for long-running application development
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.
Anthropic Economic Index report: Learning curves
The Anthropic Economic Index uses our privacy-preserving data analysis system to track how Claude is being used across the economy. It’s part of our effort to understand the economic impacts of AI as early as possible, so that researchers and policymakers have adequate time to prepare.
Economic Research
Anthropic's fifth Economic Index report studies Claude usage in February 2026, building on the economic primitives framework introduced in our previous report.
Introducing our Science Blog
We’re launching a new blog about AI and science. We’ll share work happening at Anthropic and elsewhere, our collaborations with external researchers and labs, and discuss practical workflows for scientists using AI in their research.
Long-running Claude for scientific computing
In this post, Siddharth Mishra-Sharma, a researcher on the Discovery team, explains how to apply multi-day agentic coding workflows—test oracles, persistent memory, and orchestration patterns—to scientific computing tasks even outside of one’s domain.
Vibe physics: The AI grad student
Can AI do theoretical physics? In this guest post, professor of physics Matthew Schwartz decided to find out by supervising Claude through a real research calculation, start to finish, without ever touching a file himself. His account of what happened is below.
Societal Impacts Research
We invited Claude.ai users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people participated—the largest and most multilingual qualitative study of its kind. Here's what we found.
A “diff” tool for AI: Finding behavioral differences in new models
Every time a new AI model is released, its developers run a suite of evaluations to measure its performance and safety. These tests are essential, but they are somewhat limited. Because these benchmarks are human-authored, they can only test for risks we have already conceptualized and learned to measure.
Anthropic invests $100 million into the Claude Partner Network
We’re launching the Claude Partner Network, a program for partner organizations helping enterprises adopt Claude.
Introducing The Anthropic Institute
We’re launching The Anthropic Institute, a new effort to confront the most significant challenges that powerful AI will pose to our societies.
Sydney will become Anthropic’s fourth office in Asia-Pacific
Anthropic is expanding to Australia and New Zealand. In the coming weeks, we will open an office in Sydney—our fourth office in Asia-Pacific, alongside Tokyo, Bengaluru, and Seoul. The expansion reflects strong demand from businesses in Australia and New Zealand and will help us better serve the countries’ unique AI ecosystems.
Eval awareness in Claude Opus 4.6’s BrowseComp performance
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.
Partnering with Mozilla to improve Firefox’s security
AI models can now independently identify high-severity vulnerabilities in complex software. As we recently documented, Claude found more than 500 zero-day vulnerabilities (security flaws that are unknown to the software’s maintainers) in well-tested open-source software.
Reverse engineering Claude's CVE-2026-2796 exploit
This post dives deep into how Claude wrote an exploit for one of the vulnerabilities it found in Firefox.
Labor market impacts of AI: A new measure and early evidence
Key findingsWe introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, weighting automated (rather than augmentative) and work-related uses more heavilyAI is far from reaching its theoretical capability: actual coverage remains a fraction of what's feasibleOccupations with higher observed exposure are projected by the
Statement on the comments from Secretary of War Pete Hegseth
Anthropic's response to the Secretary of War and advice for customers
Statement from Dario Amodei on our discussions with the Department of War
A statement from our CEO on national security uses of AI
An update on our model deprecation commitments for Claude Opus 3
As we develop increasingly capable AI models, it’s currently necessary to deprecate and retire our past models due to the cost and complexity of maintaining public access. However, model deprecation carries some downsides. These include costs to users who value particular models, limitations on research, and potential risks both to AI safety and to the welfare of the models themselves.
Anthropic acquires Vercept to advance Claude's computer use capabilities
People are using Claude for increasingly complex work—writing and running code across entire repositories, synthesizing research from dozens of sources, and managing workflows that span multiple tools and teams. Computer use enables Claude to do all of that inside live applications, the way a person at a keyboard would. That means Claude can take on multi-step tasks in live applications, and solve
Responsible Scaling Policy Version 3.0
An update to Anthropic's policy to mitigate catastrophic risks from AI
Detecting and preventing distillation attacks
We have identified industrial-scale campaigns by three AI laboratories—DeepSeek, Moonshot, and MiniMax—to illicitly extract Claude’s capabilities to improve their own models. These labs generated over 16 million exchanges with Claude through approximately 24,000 fraudulent accounts, in violation of our terms of service and regional access restrictions.
Anthropic Education Report: The AI Fluency Index
Anthropic's AI Fluency Index measures 11 observable behaviors across thousands of Claude.ai conversations to understand how people develop AI collaboration skills.
Making frontier cybersecurity capabilities available to defenders
Claude Code Security is one step towards our goal of more secure codebases and a higher security baseline across the industry.
Measuring AI agent autonomy in practice
AI agents are here, and already they’re being deployed across contexts that vary widely in consequence, from email triage to cyber espionage. Understanding this spectrum is critical for deploying AI safely, yet we know surprisingly little about how people actually use agents in the real world.
Anthropic and the Government of Rwanda sign MOU for AI in health and education
The Government of Rwanda and Anthropic have signed a three-year Memorandum of Understanding to formalize and expand our partnership, bringing AI to Rwanda’s education, health, and public sector systems. This agreement builds on the ALX education partnership we announced in November 2025 and marks the first time Anthropic has formalized a multi-sector partnership through a government MOU on the Afr
Introducing Sonnet 4.6
Claude Sonnet 4.6 is a full upgrade of the model’s skills across coding, computer use, long-reasoning, agent planning, knowledge work, and design.
Anthropic and Infosys collaborate to build AI agents for telecommunications and other regulated industries
Anthropic and Infosys, a global leader in next-generation digital services and consulting founded and headquartered in Bengaluru, today announced a collaboration to develop and deliver enterprise AI solutions across telecommunications, financial services, manufacturing, and software development.
Anthropic opens Bengaluru office and announces new partnerships across India
India is the second-largest market for Claude.ai, home to a developer community doing some of the most technically intense AI work we see anywhere. Nearly half of Claude usage in India comprises computer and mathematical tasks: building applications, modernizing systems, and shipping production software.
India Country Brief: The Anthropic Economic Index
India, already the world’s largest exporter of IT services, is home to one of the world’s fastest-growing AI user bases. Understanding how AI is being used in India—and how it differs from other countries—is essential for informing AI policy, investment, and deployment in the country. This brief provides insights on Claude.ai use in India, drawing on data from the fourth Anthropic Economic Index r
Anthropic partners with CodePath to bring Claude to the US’s largest collegiate computer science program
Anthropic is partnering with CodePath, the nation’s largest provider of collegiate computer science education, to redesign its coding curriculum as AI reshapes the field of software development. CodePath will put Claude and Claude Code at the center of its courses and career programs, giving more than 20,000 students at community colleges, state schools, and HBCUs access to frontier AI tools as pa
Chris Liddell appointed to Anthropic’s board of directors
Chris Liddell has been appointed to Anthropic’s Board of Directors. He brings over 30 years of senior leadership experience across some of the world's largest and most complex organizations to the role. He previously served as Chief Financial Officer of Microsoft, General Motors, and International Paper, as well as the Deputy White House Chief of Staff during President Trump’s first term.
Anthropic raises $30 billion in Series G funding at $380 billion post-money valuation
We have raised $30 billion in Series G funding led by GIC and Coatue, valuing Anthropic at $380 billion post-money. The round was co-led by D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX. The investment will fuel the frontier research, product development, and infrastructure expansions that have made Anthropic the market leader in enterprise AI and coding.
Anthropic is donating $20 million to Public First Action
Donating to a 501(c)(4) focused on AI issues in the public interest
Covering electricity price increases from our data centers
As we continue to invest in American AI infrastructure, Anthropic will cover electricity price increases that consumers face from our data centers.
Claude Opus 4.6
We’re upgrading our smartest model. Across agentic coding, computer use, tool use, search, and finance, Opus 4.6 is an industry-leading model, often by wide margin.
Building a C compiler with a team of parallel Claudes
We tasked Opus 4.6 using agent teams to build a C Compiler, and then (mostly) walked away. Here's what it taught us about the future of autonomous software development.
Quantifying infrastructure noise in agentic coding evals
Infrastructure configuration can swing agentic coding benchmarks by several percentage points—sometimes more than the leaderboard gap between top models.
LLM-discovered 0 days
AI models can now find high-severity vulnerabilities at scale. This is a moment to empower defenders. We're now using Claude to find and help fix vulnerabilities in open source software.
Claude is a space to think
We’ve made a choice: Claude will remain ad-free. We explain why advertising incentives are incompatible with a genuinely helpful AI assistant, and how we plan to expand access without compromising user trust.
Apple’s Xcode now supports the Claude Agent SDK
Apple's Xcode is where developers build, test, and distribute apps for Apple platforms, including iPhone, iPad, Mac, Apple Watch, Apple Vision Pro, and Apple TV.
Anthropic partners with Allen Institute and Howard Hughes Medical Institute to accelerate scientific discovery
Modern biological research generates data at unprecedented scale—from single-cell sequencing to whole-brain connectomics—yet transforming that data into validated biological insights remains a fundamental bottleneck. Knowledge synthesis, hypothesis generation, and experimental interpretation still depend on manual processes that can't keep pace with the data being produced.
How AI assistance impacts the formation of coding skills
Research shows AI helps people do parts of their job faster. In an observational study of Claude.ai data, we found AI can speed up some tasks by 80%. But does this increased productivity come with trade-offs? Other research shows that when people use AI assistance, they become less engaged with their work and reduce the effort they put into doing it—in other words, they offload their thinking to A
ServiceNow chooses Claude to power customer apps and increase internal productivity
As enterprises move beyond experimenting with AI and start putting it into production across their core business operations, scale and security matters just as much as capabilities.
Disempowerment patterns in real-world AI usage
AI assistants are now embedded in our daily lives—used most often for instrumental tasks like writing code, but increasingly in personal domains: navigating relationships, processing emotions, or advising on major life decisions. In the vast majority of cases, the influence AI provides in this area is helpful, productive, and often empowering.
Anthropic partners with the UK Government to bring AI assistance to GOV.UK services
Anthropic has been selected by the UK's Department for Science, Innovation and Technology (DSIT) to help build and pilot a dedicated AI-powered assistant for GOV.UK. The AI assistant will help people navigate government services and give tailored advice. The initial use case is employment: helping people find work, access training, understand the support and resources available, and more.
Best practices for Claude Code - Claude Code Docs
Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions.
Claude's new constitution
A new approach to a foundational document that expresses and shapes who Claude is
Designing AI resistant technical evaluations
What we learned from three iterations of a performance engineering take-home that Claude keeps beating.
Mariano-Florentino Cuéllar appointed to Anthropic’s Long-Term Benefit Trust
Anthropic’s Long-Term Benefit Trust announced the appointment of Mariano-Florentino (Tino) Cuéllar as a new member of the Trust. The Long-Term Benefit Trust is an independent body designed to help Anthropic achieve its public benefit mission.
Anthropic and Teach For All launch global AI training initiative for educators
Anthropic is partnering with Teach For All to bring AI tools and training to educators in 63 countries. Through the AI Literacy & Creator Collective (LCC), more than 100,000 teachers and alumni across Teach For All's network—which serves more than 1.5 million students—will have the opportunity to develop AI fluency and adapt Claude to serve real classroom needs.
The assistant axis
Who is the Assistant? We investigate the character that most modern language models inhabit when interacting with users.
Anthropic appoints Irina Ghose as Managing Director of India ahead of Bengaluru office opening
Irina Ghose is joining Anthropic as Managing Director of India as we prepare to open our first office in the country.
AI models on realistic cyber ranges
In a recent evaluation of AI models’ cyber capabilities, current Claude models can now succeed at multistage attacks on networks with dozens of hosts using only standard, open-source tools, instead of the custom tools needed by previous generations.
How scientists are using Claude to accelerate research and discovery
Last October we launched Claude for Life Sciences—a suite of connectors and skills that made Claude a better scientific collaborator. Since then, we've invested heavily in making Claude the most capable model for scientific work, with Opus 4.5 showing significant improvements in figure interpretation, computational biology, and protein understanding benchmarks. These advances, informed by our part
The Anthropic Economic Index report: New building blocks for understanding AI use
Is artificial intelligence really making people faster at work? What sort of tasks does AI support best? And how might it change the nature of people’s occupations?
Anthropic Economic Index report: Economic primitives
This report introduces new metrics of AI usage to provide a rich portrait of interactions with Claude in November 2025, just prior to the release of Opus 4.5.
Finding bugs with Claude and property-based testing
Ensuring that programs are bug-free is one of the most challenging aspects of software engineering. We developed an agent that can efficiently identify bugs in large software projects.
Introducing Labs
Our models are evolving at a rapid clip, and each new release brings another leap in capabilities. Building product experiences around these emerging capabilities requires different motions working in partnership: tinkering and experimenting at the edge of what Claude can do, testing unpolished versions with early users to find what works, and taking what lands and scaling it into products our cus
Advancing Claude in healthcare and the life sciences
Introducing Claude for Healthcare with HIPAA-ready infrastructure, plus expanded Life Sciences tools for clinical trials and regulatory submissions. New connectors to CMS, Medidata, and ClinicalTrials.gov.
Next-generation Constitutional Classifiers: More efficient protection against universal jailbreaks
Last year, we described a new approach to defend against jailbreaks, which we called Constitutional Classifiers. We’ve now developed the next generation.
AI to defend critical infrastructure
AI could help defenders of critical infrastructure identify the vulnerabilities that attackers might exploit—and close them before they are exploited. Anthropic has partnered with Pacific Northwest National Laboratory (PNNL) to explore this defensive application of AI, demonstrating both the potential of AI-accelerated defense and the value of public-private partnerships in harnessing AI for national security.
Sharing our compliance framework for California's Transparency in Frontier AI Act
On January 1, California's Transparency in Frontier AI Act (SB 53) will go into effect. It establishes the nation’s first frontier AI safety and transparency requirements for catastrophic risks.
Introducing Bloom: an open source tool for automated behavioral evaluations
We're releasing Bloom, an open source agentic framework for generating behavioral evaluations of frontier AI models. Bloom takes a researcher-specified behavior and quantifies its frequency and severity across automatically generated scenarios. Bloom's evaluations correlate strongly with our hand-labeled judgments and we find they reliably separate baseline models from intentionally misaligned one
Working with the US Department of Energy to unlock the next era of scientific discovery
Anthropic and the US Department of Energy (DOE) are announcing a multi-year partnership as part of the Genesis Mission— the Department’s initiative to use AI to cement America’s leadership in science. Our partnership focuses on three domains—American energy dominance, the biological and life sciences, and scientific productivity—and has the potential to affect the work being done at all 17 of Amer
Protecting the wellbeing of our users
People use AI for a wide variety of reasons, and for some that may include emotional support. Our Safeguards team leads our efforts to ensure that Claude handles these conversations appropriately—responding with empathy, being honest about its limitations as an AI, and being considerate of our users' wellbeing. When chatbots handle these questions without the appropriate safeguards in place, the s
Project Vend: Phase two
How Claude turned around its failing vending machine business
Donating the Model Context Protocol and establishing the Agentic AI Foundation
Today, we’re donating the Model Context Protocol (MCP) to the Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation, co-founded by Anthropic, Block and OpenAI, with support from Google, Microsoft, Amazon Web Services (AWS), Cloudflare, and Bloomberg.
Accenture and Anthropic launch multi-year partnership to move enterprises from AI pilots to production
Anthropic and Accenture today announced a major expansion of their partnership to help enterprises move from AI pilots to full-scale deployment. Key elements of the announcement:
Introducing Anthropic Interviewer
What 1,250 professionals told us about working with AI
Snowflake and Anthropic announce $200 million partnership to bring agentic AI to global enterprises
Today, we announce a significant expansion of our strategic partnership with Snowflake. The multi-year, $200 million agreement will not only make Anthropic’s Claude models available in the Snowflake platform to more than 12,600 global customers across Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure, but also establishes a joint go-to-market (GTM) initiative focused on deploying AI agen
Anthropic acquires Bun as Claude Code reaches $1B milestone
Claude is the world’s smartest and most capable AI model for developers, startups, and enterprises. Claude Code represents a new era of agentic coding, fundamentally changing how teams build software. In November, Claude Code achieved a significant milestone: just six months after becoming available to the public, it reached $1 billion in run-rate revenue. And today we’re announcing that Anthropic
How AI Is Transforming Work at Anthropic
How AI Is Transforming Work at Anthropic
Introducing Claude for Nonprofits
Anthropic launches Claude for Nonprofits to help organizations maximize their impact, featuring free AI training and discounted rates for nonprofits.
AI agents find smart contract exploits
We evaluated AI agents' ability to exploit smart contracts using a new benchmark comprising contracts that were actually exploited. On contracts exploited after the latest knowledge cutoffs, Claude Opus 4.5, Claude Sonnet 4.5, and GPT-5 found vulnerabilities worth a combined $4.6 million, a finding that underscores the need for proactive adoption of AI for defense.
Effective harnesses for long-running agents
Agents still face challenges working across many context windows. We looked to human engineers for inspiration in creating a more effective harness for long-running agents.
Estimating AI productivity gains
Anthropic economic research on productivity gains
Introducing Claude Opus 4.5
Our newest model, Claude Opus 4.5, is available today. It’s intelligent, efficient, and the best model in the world for coding, agents, and computer use. It’s also meaningfully better at everyday tasks like deep research and working with slides and spreadsheets. Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done.
Mitigating the risk of prompt injections in browser use
Claude Opus 4.5 sets a new standard in robustness to prompt injections—adversarial instructions hidden within the content that AI models process. Our new model is a major improvement over previous ones in both its core performance and in the safeguards surrounding its use. But prompt injection is far from a solved problem, particularly as models take more real-world actions. We expect to continue
Introducing advanced tool use on the Claude Developer Platform
Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how.
Natural emergent misalignment from reward hacking
We show for the first time that realistic AI training processes can accidentally produce misaligned models.
Claude now available in Microsoft Foundry and Microsoft 365 Copilot
Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 models are now available in public preview in Microsoft Foundry, where Azure customers can build production applications and enterprise agents.
Microsoft, NVIDIA and Anthropic announced new strategic partnerships.
Today Microsoft, NVIDIA, and Anthropic announced new strategic partnerships. Anthropic is scaling its rapidly-growing Claude AI model on Microsoft Azure, powered by NVIDIA, which will broaden access to Claude and provide Azure enterprise customers with expanded model choice and new capabilities. Anthropic has committed to purchase $30 billion of Azure compute capacity and to contract additional co
Anthropic partners with Rwandan Government and ALX to bring AI education to hundreds of thousands of learners across Africa
Anthropic is announcing a new partnership with the Government of Rwanda and African tech training provider ALX to bring Chidi—a learning companion built on Claude—to hundreds of thousands of learners across Africa. Rwanda's ICT & Innovation and Education ministries are deploying Chidi within their national education system, while ALX will bring the tool to students across the continent through the
Disrupting the first reported AI-orchestrated cyber espionage campaign
A report describing an a highly sophisticated AI-led cyberattack
The State of Maryland partners with Anthropic to better serve residents
The state of Maryland has announced it will use Anthropic's advanced AI models to improve government operations and better serve its more than six million residents. Under the new partnership, the state will deploy Claude across multiple state agencies to address several priorities:
Measuring political bias in Claude
We want Claude to be seen as fair and trustworthy by people across the political spectrum, and to be unbiased and even-handed in its approach to political topics.
Project Fetch: Can Claude train a robot dog?
A practical experiment on AI's ability to affect the physical world
Anthropic invests $50 billion in American AI infrastructure
Today, we are announcing a $50 billion investment in American computing infrastructure, building data centers with Fluidstack in Texas and New York, with more sites to come. These facilities are custom built for Anthropic with a focus on maximizing efficiency for our workloads, enabling continued research and development at the frontier.
New offices in Paris and Munich expand Anthropic’s European presence
Today, we're announcing plans to open offices in Paris and Munich as our global operations expand across Europe. These new hubs follow recent office openings in Tokyo, Seoul, and Bengaluru and will further grow our European footprint alongside our offices in London, Dublin, and Zurich. They’re the latest example of Anthropic’s extraordinary momentum in Europe—and all around the world. In the past
Launching the Anthropic Economic Futures Programme in the UK and Europe
Anthropic's support for economic research comes to the UK and Europe
Commitments on model deprecation and preservation
Claude models are increasingly capable: they're shaping the world in meaningful ways, becoming closely integrated into our users’ lives, and showing signs of human-like cognitive and psychological sophistication. As a result, we recognize that deprecating, retiring, and replacing models comes with downsides, even in cases where new models offer clear improvements in capabilities. These include:
Anthropic and Iceland announce one of the world’s first national AI education pilots
Anthropic and Iceland announce national AI education pilot
Cognizant will make Claude available to 350,000 employees, accelerating enterprise AI adoption and internal transformation
Cognizant, a leading information technology consulting company, announced today that it will use Claude to help its enterprise customers and internal teams move from AI experimentation to production outcomes. Cognizant will deploy Claude to up to 350,000 employees globally, combining Claude with agentic tooling, Cognizant's engineering platforms, and industry blueprints to help deliver measurabl
Code execution with MCP: building more efficient AI agents
Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.
Anthropic opens Tokyo office, signs a Memorandum of Cooperation with the Japan AI Safety Institute
This week, we opened our first Asia-Pacific office in Tokyo, a milestone in Anthropic's international expansion. Our CEO and co-founder Dario Amodei traveled to Tokyo to meet with Prime Minister Takaichi, address members of the LDP Digitization Headquarters Committee, meet customers and sign a Memorandum of Cooperation with the Japan AI Safety Institute. These actions deepen our partnership with J
Emergent introspective awareness in large language models
Research from Anthropic on the ability of large language models to introspect
Advancing Claude for Financial Services
Claude for Financial Services now supports a native Excel plug-in, new connectors to real-time market, and pre-built skills for modeling, comp analysis, and earnings reports.
Seoul becomes Anthropic’s third office in Asia-Pacific as we continue our international growth
Today we're announcing plans to open an office in Seoul in early 2026 as our global operations expand into Korea. Seoul comes on the heels of new offices in Tokyo and Bengaluru, and together this expansion reflects the extraordinary momentum we're seeing across Asia-Pacific—our run rate revenue in the region has grown over 10x in the past year.
Expanding our use of Google Cloud TPUs and Services
Announcing a dramatic increase in Anthropic's compute resources
A statement from Dario Amodei on Anthropic's commitment to American AI leadership
A statement from Anthropic CEO, Dario Amodei, on Anthropic’s commitment to advancing America's leadership in building powerful and beneficial AI
Claude for Life Sciences
Discover how Claude accelerates life sciences research with new scientific connectors, skills, and improved performance for drug discovery and clinical work.
Making Claude Code more secure and autonomous with sandboxing
Learn how Claude Code's new sandboxing feature protects developers with filesystem and network isolation, reducing permission prompts and increasing user safety.
Equipping agents for the real world with Agent Skills
Discover how Anthropic builds AI agents with practical capabilities through modular skills, enabling them to handle complex real-world tasks more effectively and reliably.
Introducing Claude Haiku 4.5
Claude Haiku 4.5, our latest small model, is available today to all users.
Anthropic and Salesforce expand partnership to bring Claude to regulated industries
Anthropic and Salesforce today announced an expanded partnership to make Claude a preferred model for Salesforce's Agentforce platform, enabling Salesforce customers in financial services, healthcare, cybersecurity, and life sciences to use trusted AI while keeping sensitive data secure. Additionally, Salesforce is deploying Claude Code across its global engineering organization to help developers
Preparing for AI’s economic impact: exploring policy responses
We’ve asked economists and researchers to explore policy responses to the potential economic effects of powerful AI. We share some of the initial ideas and feedback we’ve received.
A small number of samples can poison LLMs of any size
Anthropic research on data-poisoning attacks in large language models
Anthropic expands global operations to India, plans to open an office in Bengaluru.
Today we’re announcing that we’re expanding our global operations to India, with plans to open an office in Bengaluru in early 2026. Bengaluru will serve as our second office in Asia Pacific after Tokyo, which will open in the coming months. This expansion will help us serve India’s rapidly growing AI ecosystem and reflects the increasing international demand we’re seeing for Claude.
Rahul Patil joins Anthropic as Chief Technology Officer
We're excited to announce that Rahul Patil has joined Anthropic as our Chief Technology Officer. Rahul will oversee our engineering organization across product, compute, infrastructure, inference, data science, and security as we scale Claude to meet growing enterprise demand worldwide.
Anthropic Deloitte Partnership
Deloitte will make Claude available to 470,000 people across its global network. Anthropic's largest enterprise AI deployment to date. Partner with Anthropic because Claude is built for the compliance and control that enterprises demand.
Petri: An open-source auditing tool to accelerate AI safety research
A new automated auditing tool for AI safety research
Building AI for cyber defenders
How we've improved Claude's cyber defense skills.
Introducing Claude Sonnet 4.5
Claude Sonnet 4.5 is the best coding model in the world, strongest model for building complex agents, and best model at using computers.
Enabling Claude Code to work more autonomously
Introducing Claude Code upgrades: native VS Code extension, terminal UX updates, and checkpoints for autonomous development. Handle complex tasks with confidence.
Effective context engineering for AI agents
Context is a critical but finite resource for AI agents. In this post, we explore strategies for effectively curating and managing the context that powers them.
Anthropic expands global leadership in enterprise AI, naming Chris Ciauri as Managing Director of International
Chris Ciauri joins Anthropic as Managing Director of International, adding to our global leadership team as we expand our worldwide presence.
A postmortem of three recent issues
This is a technical report on three bugs that intermittently degraded responses from Claude. Below we explain what happened, why it took time to fix, and what we're changing.
Claude is now generally available in Xcode
Connect your Claude account to Xcode 26 for AI-powered coding assistance. Debug, refactor, and build Apple apps faster with Claude Sonnet 4 by Anthropic.
Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
To study such patterns of early AI adoption, we extend the Anthropic Economic Index along two important dimensions, introducing a geographic analysis of Claude.ai conversations and a first-of-its-kind examination of enterprise API use. We show how Claude usage has evolved over time, how adoption patterns differ across regions, and—for the first time—how firms are deploying frontier AI to solve business problems.
Anthropic Economic Index: Tracking AI's role in the US and global economy
New research from Anthropic exploring geographic patterns of AI use
Strengthening our safeguards through collaboration with US CAISI and UK AISI
Over the past year, we've collaborated with the US Center for AI Standards and Innovation (CAISI) and UK AI Security Institute (AISI), government bodies established to measure and improve the security of AI systems. Our voluntary work together began as initial consultations, but over time evolved to an ongoing partnership where CAISI and AISI teams were provided access to our systems at various st
Writing effective tools for AI agents—using AI agents
Writing effective tools for AI agents—using AI agents
Anthropic is endorsing SB 53
Anthropic is endorsing SB 53, the California bill that governs powerful AI systems built by frontier AI developers like Anthropic.
LLMs and biorisk
This article explains why we believe that evaluating biorisk and safeguarding against it is a critical element of responsible AI development.
Updating restrictions of sales to unsupported regions
Anthropic's Terms of Service prohibit use of our services in certain regions due to legal, regulatory, and security risks. However, companies from these restricted regions—including adversarial nations like China—continue accessing our services in various ways, such as through subsidiaries incorporated in other countries.
Anthropic joins White House pledge for AI education
Anthropic signs White House pledge investing in AI education for America's youth, supporting AI students and educators nationwide
Anthropic raises $13B Series F at $183B post-money valuation
Anthropic has completed a Series F fundraising of $13 billion led by ICONIQ. This financing values Anthropic at $183 billion post-money. Along with ICONIQ, the round was co-led by Fidelity Management & Research Company and Lightspeed Venture Partners. The investment reflects Anthropic’s continued momentum and reinforces our position as the leading intelligence platform for enterprises, developers, and power users.
Updates to Consumer Terms and Privacy Policy
Today, we're rolling out updates to our Consumer Terms and Privacy Policy that will help us deliver even more capable, useful AI models. We're now giving users the choice to allow their data to be used to improve Claude and strengthen our safeguards against harmful usage like scams and abuse. Adjusting your preferences is easy and can be done at any time.
Detecting and countering misuse of AI: August 2025
Anthropic's threat intelligence report on AI cybercrime and other abuses
Introducing the Anthropic National Security and Public Sector Advisory Council
Today, we are announcing the formation of the Anthropic National Security and Public Sector Advisory Council, a group of leading bipartisan national security and public policy practitioners who will help Anthropic support the U.S. government and closely allied democracies in building and maintaining enduring technological advantages in an era of strategic competition.
Anthropic education report: How educators use Claude
Research on 74,000 educator conversations shows how faculty use Claude for teaching, research, and building interactive learning tools.
Anthropic launches higher education advisory board and AI Fluency courses
The choices made in the next few years about how AI enters the classroom will shape a generation's relationship with both technology and learning. Today, we're announcing two initiatives for AI in education to help navigate these critical decisions: a Higher Education Advisory Board to guide Claude's development for education, and three AI Fluency courses co-created with educators that can help te
Developing Nuclear Safeguards for AI
Together with the NNSA and DOE national laboratories, we have co-developed a classifier—an AI system that automatically categorizes content—that distinguishes between concerning and benign nuclear-related conversations with high accuracy in preliminary testing.
Developing nuclear safeguards for AI through public-private partnership
Together with the NNSA and DOE national laboratories, we have co-developed a classifier—an AI system that automatically categorizes content—that distinguishes between concerning and benign nuclear-related conversations with 96% accuracy in preliminary testing.
Claude Code and new admin controls for business plans
Enterprise and Team customers can now upgrade to premium seats that include more usage and Claude Code—bringing our app and powerful coding agent together under one subscription.
Usage Policy Update
Updates to our Usage Policy that reflect the growing capabilities and evolving usage of our products
Claude Opus 4 and 4.1 can now end a rare subset of conversations
An update on our exploratory research on model welfare
Building safeguards for Claude
Claude empowers millions of users to tackle complex challenges, spark creativity, and deepen their understanding of the world. We want to amplify human potential while ensuring our models’ capabilities are channeled toward beneficial outcomes. This means continuously refining how we support our users’ learning and problem-solving, while preventing misuse that could cause real-world harm.
Offering expanded Claude access across all three branches of government
We are removing barriers to government AI adoption by offering Claude for Enterprise and Claude for Government to all three branches of government, including federal civilian executive branch agencies, as well as legislative and judiciary branches of government, for $1.
Claude does cyber competitions
Throughout 2025, we have been quietly entering Claude in cybersecurity competitions designed primarily for humans. In many of these competitions Claude did pretty well, often placing in the top 25% of competitors. However, it lagged behind the best human teams at the toughest challenges.
Anthropic appoints Hidetoshi Tojo as Head of Japan and announces hiring plans
An announcement of Anthropic's plans to expand into Japan
Claude Opus 4.1
Today we're releasing Claude Opus 4.1, an upgrade to Claude Opus 4 on agentic tasks, real-world coding, and reasoning. We plan to release substantially larger improvements to our models in the coming weeks.
U.S. federal departments and agencies can now more quickly and easily get access to Claude
Claude is now available for purchase through the General Services Administration (GSA) schedule, making it easier for all U.S. federal government departments and agencies to quickly access Claude, with pre-negotiated pricing and terms that comply with federal acquisition regulations.
Our framework for developing safe and trustworthy agents
The most popular AI tools today are assistants that respond to specific questions or prompts. But we’re now seeing the emergence of AI agents, which pursue tasks autonomously when given a goal. Think of an agent like a virtual collaborator that can independently handle complex projects from start to finish — all while you focus on other priorities.
Persona vectors: Monitoring and controlling character traits in language models
A paper from Anthropic describing persona vectors and their applications to monitoring and controlling model behavior
Thoughts on America’s AI Action Plan
Today, the White House released "Winning the Race: America's AI Action Plan"—a comprehensive strategy to maintain America's advantage in AI development. We are encouraged by the plan’s focus on accelerating AI infrastructure and federal adoption, as well as strengthening safety testing and security coordination. Many of the plan’s recommendations reflect Anthropic’s response to the Office of Scien
Anthropic partners with the University of Chicago’s Becker Friedman Institute for Economics on AI economic research
Anthropic collaborates with the University of Chicago's Becker Friedman Institute to research AI's effects on labor markets, productivity, and economic distribution, enhancing our Economic Index initiative with expert analysis.
Build AI in America: Anthropic Energy Report
Build AI in America: Anthropic Energy Report
Anthropic to sign the EU Code of Practice
After review, Anthropic intends to sign the European Union's General-Purpose AI Code of Practice. We believe the Code advances the principles of transparency, safety and accountability—values that have long been championed by Anthropic for frontier AI development. If thoughtfully implemented, the EU AI Act and Code will enable Europe to harness the most significant technology of our time to power
Claude for Financial Services
Today, we're introducing a comprehensive solution for financial analysis that transforms how finance professionals analyze markets, conduct research, and make investment decisions with Claude.
Paul Smith to join Anthropic as Chief Commercial Officer
Anthropic will appoint Paul Smith as its first Chief Commercial Officer, who will assume the role later this year.
Investing in energy to secure America's AI future
Energy is central to winning the AI race and we need to ensure that America has the necessary infrastructure to maintain its lead. The importance of building this infrastructure goes beyond just powering data centers—the country that controls the energy to train and deploy frontier AI models will shape the future of global innovation, economic competitiveness, and democratic values.
Cyber evaluations of Claude 4
We partnered with Pattern Labs on a range of cybersecurity evaluations of Claude Opus 4 and Claude Sonnet 4, with Opus demonstrating especially notable improvement over previous models.
Anthropic awarded $200M DOD agreement for AI capabilities
The U.S. Department of Defense (DOD), through its Chief Digital and Artificial Intelligence Office (CDAO), has awarded Anthropic a two-year prototype other transaction agreement with a $200 million ceiling. As part of the agreement, Anthropic will prototype frontier AI capabilities that advance U.S. national security.
Advancing Claude for Education
A first look at new education-specific integrations, expanded student programs, and university updates.
Claude for Enterprise Powers LLNL Research
Lawrence Livermore National Laboratory expands Claude for Enterprise access to 10,000 scientists, accelerating breakthroughs in energy, and national security research.
A framework for AI development transparency
A targeted approach to increasing transparency in frontier AI development, focusing on safety standards and accountability measures for advanced AI systems.
Anthropic Economic Futures Program Launch
Anthropic's new research initiative exploring AI's impact on the future of work and economy, developing policy frameworks for a changing workforce.
How people use Claude for support, advice, and companionship
We spend a lot of time studying Claude's IQ—its capabilities on tests of coding, reasoning, general knowledge, and more. But what about its EQ? That is, what about Claude’s emotional intelligence?
Project Vend: Can Claude run a small shop? (And why does that matter?)
We let Claude run a small shop in the Anthropic office. Here's what happened.
Claude Desktop Extensions: One-click MCP server installation for Claude Desktop
Claude Desktop Extensions: One-click MCP server installation for Claude Desktop
Agentic misalignment: How LLMs could be insider threats
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs
Confidential Inference via Trusted Virtual Machines
Announcing a new collaborative research paper on Confidential Inference, a set of tools to improve the security of our model weights and of our users' data
SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
A new set of evaluations to test the sabotage and monitoring capabilities of LLM AI models
How we built our multi-agent research system
On the the engineering challenges and lessons learned from building Claude's Research system
Cyber toolkits for LLMs
Large Language Models (LLMs) that are not fine-tuned for cybersecurity can succeed in multistage attacks on networks with dozens of hosts when equipped with a novel toolkit.
Claude in Amazon Bedrock: Approved for Use in FedRAMP High and DoD IL4/5 Workloads
Claude models are approved for use in FedRAMP High and DoD Impact Level 4 and 5 workloads through Amazon Bedrock in AWS GovCloud (US) regions. Federal agencies and defense organizations can now access Claude's advanced AI capabilities while meeting the most stringent government security requirements—opening new possibilities for mission-critical applications across defense, intelligence, and sensitive civilian operations.
National security expert Richard Fontaine appointed to Anthropic’s long-term benefit trust
Anthropic's Long-Term Benefit Trust today announced the appointment of Richard Fontaine, CEO of the Center for a New American Security, as a new member of the Trust. The Long-Term Benefit Trust (LTBT) is an independent body designed to help Anthropic achieve its public benefit mission.
Claude Gov models for U.S. national security customers
We’re introducing a custom set of Claude Gov models built exclusively for U.S. national security customers. The models are already deployed by agencies at the highest level of U.S. national security, and access to these models is limited to those who operate in such classified environments.
Open-sourcing circuit-tracing tools
In our recent interpretability research, we introduced a new method to trace the thoughts of a large language model. Today, we’re open-sourcing the method so that anyone can build on our research.
Reed Hastings appointed to Anthropic’s board of directors
Today we announced that Reed Hastings, Chairman and co-founder of Netflix who served as its CEO for over 25 years, has been appointed to Anthropic's board of directors by our Long Term Benefit Trust. Hastings brings extensive experience from founding and scaling Netflix into a global entertainment powerhouse, along with his service on the boards of Facebook, Microsoft, and Bloomberg.
Activating AI Safety Level 3 protections
We have activated the AI Safety Level 3 (ASL-3) Deployment and Security Standards described in Anthropic’s Responsible Scaling Policy (RSP) in conjunction with launching Claude Opus 4. The ASL-3 Security Standard involves increased internal security measures that make it harder to steal model weights, while the corresponding Deployment Standard covers a narrowly targeted set of deployment measures designed to limit the risk of Claude being misused specifically for the development or acquisition of chemical, biological, radiological, and nuclear (CBRN) weapons.
Introducing Claude 4
Discover Claude 4's breakthrough AI capabilities. Experience more reliable, interpretable assistance for complex tasks across work and learning.
Testing our safety defenses with a new bug bounty program
Today, we're launching a new bug bounty program to stress-test our latest safety measures, in partnership with HackerOne. Similar to the program we announced last summer, we're challenging red-teamers to find universal jailbreaks in safety classifiers that we haven't yet deployed publicly.
Introducing Anthropic's AI for Science Program
Today, we’re launching Anthropic's AI for Science program – a new initiative designed to accelerate scientific research and discovery through access to our API. This program will provide free API credits to support researchers working on high-impact scientific projects, with a particular focus on biology and life sciences applications.
Anthropic's AI Export Controls Framework Response
Anthropic submits detailed recommendations for strengthening US export controls on advanced AI chips and model weights. We advocate for maintaining America's compute advantage, adjusting tiering systems, and reducing no-license thresholds to secure AI leadership.
Introducing the Anthropic Economic Advisory Council
Today, we’re announcing the formation of the Anthropic Economic Advisory Council, a group of distinguished economists who will provide Anthropic with expert guidance on the economic implications of AI development and deployment. The Council will advise Anthropic on AI's impact on labor markets, economic growth, and broader socioeconomic systems.
Anthropic Economic Index: AI's impact on software development
Data on how software developers are using Claude
Exploring model welfare
Announcing a new research program at Anthropic on model welfare
Detecting and Countering Malicious Uses of Claude
Detecting and Countering Malicious Uses of Claude
Understanding and Addressing AI Harms
Learn about Anthropic's comprehensive framework for identifying, classifying, and mitigating potential harms from AI systems, ensuring responsible development of advanced AI technology.
Values in the wild: Discovering and analyzing values in real-world language model interactions
An Anthropic research paper testing which values AI models express in the real world
Anthropic Education Report: How University Students Use Claude
AI systems are no longer just specialized research tools: they’re everyday academic companions. As AIs integrate more deeply into educational environments, we need to consider important questions about learning, assessment, and skill development. Until now, most discussions have relied on surveys and controlled experiments rather than direct evidence of how students naturally integrate AI into their academic work in real settings.
Anthropic Appoints Guillaume Princen as Head of EMEA and Announces 100+ New Roles Across the Region
An announcement of Anthropic's plans to expand across Europe
Code with Claude - Anthropic's First Developer Conference
Join us on May 22, 2025 in San Francisco for Code with Claude, a hands-on developer conference featuring workshops, labs, and insights on building with Claude API, CLI tools, and Model Context Protocol.
Reasoning models don't always say what they think
Research from Anthropic on the faithfulness of AI models' Chain-of-Thought
Anthropic Economic Index: Insights from Claude 3.7 Sonnet
The second update from the Anthropic Economic Index
Tracing the thoughts of a large language model
Anthropic's latest interpretability research: a new microscope to understand Claude's internal mechanisms
The "think" tool: Enabling Claude to stop and think
A blog post for developers, describing a new method for complex tool-use situations
Anthropic’s response to Governor Newsom’s AI working group draft report
This week, the California Governor’s Working Group on AI Frontier Models released its draft report. We agree with the working group’s focus on the need for objective standards and evidence-based policy guidance, and especially its emphasis on transparency as a means to create a well functioning AI policy environment.When done thoughtfully, transparency can be a low-cost, high-impact means of growi
Progress from our Frontier Red Team
In this post, we are sharing what we have learned about the trajectory of potential national security risks from frontier AI models, along with some of our thoughts about challenges and best practices in evaluating these risks.
Auditing language models for hidden objectives
A collaboration between Anthropic's Alignment Science and Interpretability teams
Anthropic’s Recommendations to OSTP for the U.S. AI Action Plan
In response to the White House’s Request for Information on an AI Action Plan, Anthropic has submitted recommendations to the Office of Science and Technology Policy (OSTP). Our recommendations are designed to better prepare America to capture the economic benefits and national security implications of powerful AI systems.
Anthropic raises Series E at $61.5B post-money valuation
Anthropic has raised $3.5 billion at a $61.5 billion post-money valuation. The round was led by Lightspeed Venture Partners, with participation from Bessemer Venture Partners, Cisco Investments, D1 Capital Partners, Fidelity Management & Research Company, General Catalyst, Jane Street, Menlo Ventures and Salesforce Ventures, amongst other new and existing investors.
Anthropic partners with U.S. National Labs for first 1,000 Scientist AI Jam
We are proud to participate in the U.S. Department of Energy’s (DOE) first-ever 1,000 Scientist AI Jam, which will bring together scientists across multiple national laboratories to evaluate frontier AI models on scientific research and national security applications.
Introducing Anthropic's Transparency Hub
Today, we're launching Anthropic's Transparency Hub—a detailed overview of concrete measures we're implementing to ensure our systems are safe, beneficial, and trustworthy.
Claude and Alexa+
Today, we're announcing that Claude models are helping power Alexa+. This collaboration is part of our ongoing partnership with Amazon to deliver advanced AI technology to businesses and consumers around the world.
Forecasting rare language model behaviors
Anthropic research on predicting rare, undesirable AI behaviors
Claude 3.7 Sonnet and Claude Code
Today, we’re announcing Claude 3.7 Sonnet, our most intelligent model to date and the first hybrid reasoning model generally available on the market.
Insights on Crosscoder Model Diffing
At the link above, we report some developing work from the Anthropic Interpretability team on Crosscoder Model Diffing, which might be of interest to researchers working actively in this space.
Anthropic signs MOU with UK Government to explore how AI can transform UK public services
Announcing a Memorandum of Understanding between Anthropic and the UK Government
Statement from Dario Amodei on the Paris AI Action Summit
A call for greater focus and urgency
Introducing the Anthropic Economic Index
Announcement of the new Anthropic Economic Index and description of the new data on AI use in occupations
Lyft to bring Claude to more than 40 million riders and over 1 million drivers
Lyft is working with Anthropic to introduce customer-first, AI-powered Lyft products. This is to enhance the rideshare experience for its community of more than 40 million annual riders and over 1 million drivers. The work includes early research testing of new models and technology, alongside initiatives to advance Lyft's engineering capabilities.
Constitutional Classifiers: Defending against universal jailbreaks
A paper from Anthropic describing a new way to guard LLMs against jailbreaking
Anthropic achieves ISO 42001 certification for responsible AI
We are excited to announce that Anthropic has achieved accredited certification under the new ISO/IEC 42001:2023 standard for our AI management system. ISO 42001 is the first international standard outlining requirements for AI governance and helps ensure AI systems are developed and used responsibly.
Claude SWE-Bench Performance
Explore Claude's breakthrough performance on SWE-Bench, demonstrating advanced software engineering capabilities and code generation accuracy. Learn about our technical evaluation methods.
Claude SWE-Bench Performance
Explore Claude's breakthrough performance on SWE-Bench, demonstrating advanced software engineering capabilities and code generation accuracy. Learn about our technical evaluation methods.
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.
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.
Alignment faking in large language models
A paper from Anthropic's Alignment Science team on Alignment Faking in AI large language models
Elections and AI in 2024: Anthropic observations and learnings
Lessons and observations from generative AI in the first major election year since Claude has been available.
Clio: Privacy-preserving insights into real-world AI use
A blog post describing Anthropic’s new system, Clio, for analyzing how people use AI while maintaining their privacy
Introducing the Model Context Protocol
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.
Powering the next generation of AI development with AWS
Today we’re announcing an expansion of our collaboration with Amazon Web Services (AWS), deepening our work together to develop and deploy advanced AI systems. This expanded partnership includes a new $4 billion investment from Amazon and establishes AWS as our primary cloud and training partner. This will bring Amazon's total investment in Anthropic to $8 billion, while maintaining their position
A statistical approach to model evaluations
Suppose an AI model outperforms another model on a benchmark of interest—testing its general knowledge, for example, or its ability to solve computer-coding questions. Is the difference in capabilities real, or could one model simply have gotten lucky in the choice of questions on the benchmark?
The case for targeted regulation
Increasingly powerful AI systems have the potential to accelerate scientific progress, unlock new medical treatments, and grow the economy. But along with the remarkable new capabilities of these AIs come significant risks. Governments should urgently take action on AI policy in the next eighteen months. The window for proactive risk prevention is closing fast.
Claude 3.5 Sonnet on GitHub Copilot
Starting today, the new Claude 3.5 Sonnet begins rolling out on GitHub Copilot, enabling developers to choose Claude 3.5 Sonnet for coding—directly in Visual Studio Code and GitHub.com.
Evaluating feature steering: A case study in mitigating social biases
A new piece of Anthropic research by Durmus et al.: "Evaluating feature steering: A case study in mitigating social biases"
Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku
A refreshed, more powerful Claude 3.5 Sonnet, Claude 3.5 Haiku, and a new experimental AI capability: computer use.
Sabotage evaluations for frontier models
A new paper on AI safety evaluations from Anthropic's Alignment Science team
Using dictionary learning features as classifiers
At the link above, we report some developing work from the Anthropic interpretability team on developing feature-based classifiers, which might be of interest to researchers working actively in this space. We'd ask you to treat these results like those of a colleague sharing some thoughts or preliminary experiments for a few minutes at a lab meeting, rather than a mature paper.
Announcing our updated Responsible Scaling Policy
Today we are publishing a significant update to our Responsible Scaling Policy (RSP), the risk governance framework we use to mitigate potential catastrophic risks from frontier AI systems.
U.S. Elections Readiness
2024 marks the first United States (U.S.) election cycle where generative AI tools are widely available. Since July 2023, we have taken concrete steps to help detect and mitigate against the potential misuse of our tools and to direct users to authoritative election information. Ahead of federal, state, and local elections in the U.S. on November 5, 2024, we are sharing a summary of our work thus
Circuits Updates – September 2024
At the above link, we report a number of developing ideas on the Anthropic interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research on which we expect to publish more in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.
Contextual Retrieval in AI Systems
Explore how Anthropic enhances AI systems through advanced contextual retrieval methods. Learn about our approach to improving information access and relevance in large language models.
Contextual Retrieval in AI Systems
Explore how Anthropic enhances AI systems through advanced contextual retrieval methods. Learn about our approach to improving information access and relevance in large language models.
Circuits Updates – August 2024
At the link above, we report a number of developing ideas on the Anthropic interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research where we expect to publish more in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.
Salesforce integrates Anthropic's Claude AI to boost Einstein capabilities
Salesforce enhances its Einstein 1 Studio with Anthropic's Claude AI models, now available through Amazon Bedrock. Learn how this integration empowers enterprises to improve efficiency and personalization across sales, customer service, marketing, and more.
Expanding our model safety bug bounty program
The rapid progression of AI model capabilities demands an equally swift advancement in safety protocols. As we work on developing the next generation of our AI safeguarding systems, we’re expanding our bug bounty program to introduce a new initiative focused on finding flaws in the mitigations we use to prevent misuse of our models.
Claude is now available in Brazil
Claude, Anthropic’s trusted AI assistant, is now available in Brazil. Starting today, consumers and businesses in Brazil will be able to access Claude.
Circuits Updates – July 2024
At the link above, we report a number of developing ideas on the Anthropic interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research where we expect to publish more in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.
Anthropic partners with Menlo Ventures to launch Anthology Fund
Anthropic partners with Menlo Ventures to launch Anthology Fund
Fine-tune Claude 3 Haiku in Amazon Bedrock | Claude by Anthropic
Claude 3 Haiku can now be fine-tuned in Amazon Bedrock with custom training data, enabling faster, more accurate performance at lower cost. Update: Fine-tuning Claude 3 Haiku in Amazon Bedrock is generally available.
A new initiative for developing third-party model evaluations
A robust, third-party evaluation ecosystem is essential for assessing AI capabilities and risks, but the current evaluations landscape is limited. Developing high-quality, safety-relevant evaluations (evals) remains challenging, and the demand is outpacing the supply. To address this, today we're introducing a new initiative to fund evaluations developed by third-party organizations that can effectively measure advanced capabilities in AI models.
Circuits Updates – June 2024
At the link above, we report a number of developing ideas on the Anthropic Interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research where we expect to publish more on in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.
Expanding Access to Claude for Government
Anthropic's mission is to build reliable, interpretable, steerable AI systems. We have been excited to see our technology used in areas like coding, customer service, drug discovery, and medical research. We're eager to make these tools available through expanded offerings to government users. Leveraging the flexibility and security of Amazon Web Services [AWS], our AI models Claude 3 Haiku and Claude 3 Sonnet are now available in the AWS Marketplace for the US Intelligence Community [IC] and in AWS GovCloud.
Collaborate with Claude on Projects
Claude Pro and Team users can now organize chats into Projects. Projects bring together internal knowledge and chat activity in one place so Claude can be your go-to expert for generating ideas, making decisions, and moving work forward.
Introducing Claude 3.5 Sonnet
Introducing Claude 3.5 Sonnet—our most intelligent model yet. Sonnet now outperforms competitor models and Claude 3 Opus on key evaluations, at twice the speed.
Sycophancy to subterfuge: Investigating reward tampering in language models
Empirical evidence that serious misalignment can emerge from seemingly benign reward misspecification.
The engineering challenges of scaling interpretability
In this post, and in the above roundtable video, our researchers reflect on the close relationship between scientific and engineering progress, and discuss the technical challenges they encountered in scaling our interpretability research to much larger AI models.
Challenges in Red Teaming AI Systems
In this post we detail insights from a sample of red teaming approaches that we’ve used to test our AI systems. Through this practice, we’ve begun to gather empirical data about the appropriate tool to reach for in a given situation, and the associated benefits and challenges with each approach. We hope this post is helpful for other companies trying to red team their AI systems, policymakers curious about how red teaming works in practice, and organizations that want to red team AI technology.
Claude’s Character
Companies developing AI models generally train them to avoid saying harmful things and to avoid assisting with harmful tasks. The goal of this is to train models to behave in ways that are "harmless". But when we think of the character of those we find genuinely admirable, we don’t just think of harm avoidance. We think about those who are curious about the world, who strive to tell the truth with
Testing and mitigating elections-related risks
This blog provides a snapshot of the work we've done since last summer to test our models for elections-related risks.
Introducing Claude to Canada
Claude is now available in Canada. Starting today, people and businesses across the country will be able to access Claude.
Jay Kreps appointed to Anthropic's Board of Directors
Today, we're announcing that Jay Kreps, co-founder and CEO of Confluent, has joined Anthropic's Board of Directors. Jay's extensive experience in building and scaling highly successful tech companies will play an important role as Anthropic prepares for the next phase of growth.
Golden Gate Claude
When we turn up the strength of the “Golden Gate Bridge” feature, Claude’s responses begin to focus on the Golden Gate Bridge. For a short time, we’re making this model available for everyone to interact with.
Krishna Rao joins Anthropic as Chief Financial Officer
We’re excited to announce that Krishna Rao has joined Anthropic as our Chief Financial Officer. With nearly 20 years of experience as a strategic finance leader for customer-centric, world-class brands and as an investor, Krishna will play a crucial role in shaping Anthropic's financial strategy and operations as we continue to build on our strong enterprise momentum and advance our international
Mapping the mind of a large language model
We have identified how millions of concepts are represented inside Claude Sonnet, one of our deployed large language models. This is the first ever detailed look inside a modern, production-grade large language model.
Reflections on our Responsible Scaling Policy
Last summer we published our first Responsible Scaling Policy (RSP), which focuses on addressing catastrophic safety failures and misuse of frontier models. In adopting this policy, our primary goal is to help turn high-level safety concepts into practical guidelines for fast-moving technical organizations and demonstrate their viability as possible standards. As we operationalize the policy, we expect to learn a great deal and plan to share our findings. This post shares reflections from implementing the policy so far.
Mike Krieger joins Anthropic as Chief Product Officer
We're excited to announce that Mike Krieger has joined Anthropic as our Chief Product Officer.
Claude is now available in the EU
We’re excited to announce that Claude, Anthropic’s trusted AI assistant, is now available for people and businesses across Europe to enhance their productivity and creativity.
Updating our Usage Policy
We're updating the policies that protect our users and ensure our products and services are used responsibly.
Circuits Updates – April 2024
At the link above, we report a number of developing ideas on the Anthropic Interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research where we expect to publish more on in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.
Aligning on child safety principles
Alongside other leading AI companies, we’re committed to implementing robust child safety measures in the development, deployment, and maintenance of generative AI technologies.
Simple probes can catch sleeper agents
This “Alignment Note” presents some early-stage research from the Anthropic Alignment Science team following up on our recent “Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training” paper. It should be treated as a work-in-progress update, and is intended for a more technical audience than our typical blog post. This research makes use of some simple interpretability techniq
Measuring the Persuasiveness of Language Models
Anthropic developed a way to test how persuasive language models (LMs) are, and analyzed how persuasiveness scales across different versions of Claude.
Many-shot jailbreaking
We investigated a “jailbreaking” technique — a method that can be used to evade the safety guardrails put in place by the developers of large language models (LLMs). The technique, which we call “many-shot jailbreaking”, is effective on Anthropic’s own models, as well as those produced by other AI companies. We briefed other AI developers about this vulnerability in advance, and have implemented m
Third-party testing as a key ingredient of AI policy
We believe that the AI sector needs effective third-party testing for frontier AI systems. Developing a testing regime and associated policy interventions based on the insights of industry, government, and academia is the best way to avoid societal harm—whether deliberate or accidental—from AI systems.
Accenture, AWS, Anthropic Collaboration
Anthropic, AWS, and Accenture Team Up to Build Trusted Solutions for Enterprises
Claude 3 models on Vertex AI
Claude 3 Haiku and Claude 3 Sonnet are now generally available on Google Cloud’s Vertex AI platform.
Claude 3 Haiku: our fastest model yet
Today we’re releasing Claude 3 Haiku, the fastest and most affordable model in its intelligence class. With state-of-the-art vision capabilities and strong performance on industry benchmarks, Haiku is a versatile solution for a wide range of enterprise applications. The model is now available alongside Sonnet and Opus in the Claude API and on claude.ai for our Claude Pro subscribers.
Reflections on Qualitative Research
This note offers some opinionated thoughts on why interpretability research may have qualitative aspects be more central than we're used to in other fields. It also aims to describe some heuristics for research taste in qualitative work.
Introducing the next generation of Claude
Today, we're announcing the Claude 3 model family, which sets new industry benchmarks across a wide range of cognitive tasks. The family includes three state-of-the-art models in ascending order of capability: Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus.
Prompt engineering for business performance
As businesses build with generative AI models, crafting effective prompts has become critical for producing high-quality outputs. This post explains basic prompt engineering techniques that help our customers get the most value from Claude. With the right prompts, businesses can tap into the full potential of AI to increase productivity across a wide range of tasks.
Preparing for global elections in 2024
In this post, we’ll discuss some of the specific steps we’ve taken to help us detect and mitigate potential misuse of our AI tools in political contexts.
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Humans are capable of strategically deceptive behavior: behaving helpfully in most situations, but then behaving very differently in order to pursue alternative objectives when given the opportunity. If an AI system learned such a deceptive strategy, could we detect it and remove it using current state-of-the-art safety training techniques? To study this question, we construct proof-of-concept exa
Expanded legal protections and improvements to our API
We are introducing new, simplified Commercial Terms of Service with an expanded copyright indemnity, as well as an improved developer experience with our beta Messages API. Customers will now enjoy increased protection and peace of mind as they build with Claude, as well as a more streamlined API that is easier to use.
Evaluating and Mitigating Discrimination in Language Model Decisions
As language models (LMs) advance, interest is growing in applying them to high-stakes societal decisions, such as determining financing or housing eligibility. However, their potential for discrimination in such contexts raises ethical concerns, motivating the need for better methods to evaluate these risks. We present a method for proactively evaluating the potential discriminatory impact of LMs
Introducing Claude 2.1
Our latest model, Claude 2.1, is now available over API in our Console and is powering our claude.ai chat experience. Claude 2.1 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and our new beta feature: tool use. We are also updating our pricing to improve cost
Thoughts on the US Executive Order, G7 Code of Conduct, and Bletchley Park Summit
Three major events in AI policy happened in the last week: the US government issued a wide-ranging Executive Order on AI, the G7 produced an International Code of Conduct, and the UK government held a first-of-its-kind summit on AI safety at Bletchley Park which produced the Bletchley Declaration. In this post, we briefly summarize each of these events and what we believe they mean for AI policy.
Dario Amodei’s prepared remarks from the AI Safety Summit on Anthropic’s Responsible Scaling Policy
Before I get into Anthropic’s Responsible Scaling Policy (RSP), it’s worth explaining some of the unique challenges around measuring AI risks that led us to develop our RSP. The most important thing to understand about AI is how quickly it is moving. A few years ago, AI systems could barely string together a coherent sentence. Today they can pass medical exams, write poetry, and tell jokes. This r
Specific versus General Principles for Constitutional AI
Human feedback can prevent overtly harmful utterances in conversational models, but may not automatically mitigate subtle problematic behaviors such as a stated desire for self-preservation or power. Constitutional AI offers an alternative, replacing human feedback with feedback from AI models conditioned only on a list of written principles. We find this approach effectively prevents the expressi
Towards Understanding Sycophancy in Language Models
Reinforcement learning from human feedback (RLHF) is a popular technique for training high-quality AI assistants. However, RLHF may also encourage model responses that match user beliefs over truthful responses, a behavior known as sycophancy. We investigate the prevalence of sycophancy in RLHF-trained models and whether human preference judgments are responsible. We first demonstrate that five st
Collective Constitutional AI: Aligning a Language Model with Public Input
Anthropic and the Collective Intelligence Project recently ran a public input process involving ~1,000 Americans to draft a constitution for an AI system. We did this to explore how democratic processes can influence AI development. In our experiment, we discovered areas where people both agreed with our in-house constitution, and areas where they had different preferences. In this post, we share
Decomposing Language Models Into Understandable Components
Neural networks are trained on data, not programmed to follow rules. With each step of training, millions or billions of parameters are updated to make the model better at tasks, and by the end, the model is capable of a dizzying array of behaviors. We understand the math of the trained network exactly – each neuron in a neural network performs simple arithmetic – but we don't understand why those
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
In our latest paper, Towards Monosemanticity: Decomposing Language Models With Dictionary Learning, we outline evidence that there are better units of analysis than individual neurons, and we have built machinery that lets us find these units in small transformer models. These units, called features, correspond to patterns (linear combinations) of neuron activations. This provides a path to breaki
Challenges in evaluating AI systems
Most conversations around the societal impacts of artificial intelligence (AI) come down to discussing some quality of an AI system, such as its truthfulness, fairness, potential for misuse, and so on. We are able to talk about these characteristics because we can technically evaluate models for their performance in these areas. But what many people working inside and outside of AI don’t fully app
Expanding access to safer AI with Amazon
Today, we’re announcing that Amazon will invest up to $4 billion in Anthropic. The agreement is part of a broader collaboration to develop the most reliable and high-performing foundation models in the industry. Our frontier safety research and products, together with Amazon Web Services’ (AWS) expertise in running secure, reliable infrastructure, will make Anthropic’s safe and steerable AI widely
Prompt engineering for Claude's long context window
Claude’s 100,000 token long context window enables the model to operate over hundreds of pages of technical documentation, or even an entire book. As we continue to scale the Claude API, we’re seeing increased demand for prompting guidance on how to maximize Claude’s potential. Today, we’re pleased to share a quantitative case study on two techniques that can improve Claude’s recall over long cont
Announcing Anthropic's Responsible Scaling Policy
We’re publishing our Responsible Scaling Policy—a series of technical and organizational protocols that we’re adopting to help us manage the risks of developing increasingly capable AI systems.
The Long-Term Benefit Trust
Today we are sharing more details about our new governance structure called the Long-Term Benefit Trust (LTBT), which we have been developing since the birth of Anthropic. The LTBT is our attempt to fine-tune our corporate governance to address the unique challenges and long-term opportunities we believe transformative AI will present.
Anthropic partners with BCG
We’re pleased to announce our new collaboration with Boston Consulting Group (BCG) to bring Claude to more enterprises. BCG customers around the world will get direct access to our AI assistant to power their strategic AI offerings and deploy safer, more reliable AI solutions.Our work towards creating helpful, honest and harmless systems with techniques like Constitutional AI aligns with BCG’s foc
Introducing Claude Pro
Today, we’re introducing a paid plan for our Claude.ai chat experience, currently available in the US and UK.Since launching in July, users tell us they’ve chosen Claude.ai as their day-to-day AI assistant for its longer context windows, faster outputs, complex reasoning capabilities, and more. Many also shared that they would value more file uploads and conversations over longer periods.With Clau
SKT Partnership Announcement
We are pleased to announce that SK Telecom ("SKT"), the largest mobile operator in Korea rapidly integrating AI into its business, has become a commercial partner with Anthropic as well as a strategic investor.
Releasing Claude Instant 1.2
Businesses working with Claude can now access our latest version of Claude Instant, version 1.2, available through our API. Claude Instant is our faster, lower-priced yet still very capable model, which can handle a range of tasks including casual dialogue, text analysis, summarization, and document comprehension.Claude Instant 1.2 incorporates the strengths of our latest model Claude 2 in real-wo
Tracing Model Outputs to the Training Data
As large language models become more powerful and their risks become clearer, there is increasing value to figuring out what makes them tick. In our previous work, we have found that large language models change along many personality and behavioral dimensions as a function of both scale and the amount of fine-tuning. Understanding these changes requires seeing how models work, for instance to det
Studying Large Language Model Generalization with Influence Functions
When trying to gain better visibility into a machine learning model in order to understand and mitigate the associated risks, a potentially valuable source of evidence is: which training examples most contribute to a given behavior? Influence functions aim to answer a counterfactual: how would the model's parameters (and hence its outputs) change if a given sequence were added to the training set?
Frontier threats red teaming for AI safety
“Red teaming,” or adversarial testing, is a recognized technique to measure and increase the safety and security of systems. While previous Anthropic research reported methods and results for red teaming using crowdworkers, for some time, AI researchers have noted that AI models could eventually obtain capabilities in areas relevant to national security. For example, researchers have called to mea
Frontier Model Security
As the capabilities of frontier artificial intelligence models continue to increase rapidly, ensuring the security of these systems has become a critical priority. In our previous posts, we’ve focused on Anthropic’s approach to safety, and Claude’s capabilities and applications. In this post, we are sharing some of the steps we are taking to ensure our models are developed securely. We hope to adv
Measuring Faithfulness in Chain-of-Thought Reasoning
Large language models (LLMs) perform better when they produce step-by-step, “Chain-ofThought” (CoT) reasoning before answering a question, but it is unclear if the stated reasoning is a faithful explanation of the model’s actual reasoning (i.e., its process for answering the question). We investigate hypotheses for how CoT reasoning may be unfaithful, by examining how the model predictions change
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
As large language models (LLMs) perform more difficult tasks, it becomes harder to verify the correctness and safety of their behavior. One approach to help with this issue is to prompt LLMs to externalize their reasoning, e.g., by having them generate step-by-step reasoning as they answer a question (Chain-of-Thought; CoT). The reasoning may enable us to check the process that models use to perfo
Claude 2
We are pleased to announce Claude 2, our new model. Claude 2 has improved performance, longer responses, and can be accessed via API as well as a new public-facing beta website, claude.ai. We have heard from our users that Claude is easy to converse with, clearly explains its thinking, is less likely to produce harmful outputs, and has a longer memory. We have made improvements from our previous m
Towards Measuring the Representation of Subjective Global Opinions in Language Models
Large language models (LLMs) may not equitably represent diverse global perspectives on societal issues. In this paper, we develop a quantitative framework to evaluate whose opinions model-generated responses are more similar to. We first build a dataset, GlobalOpinionQA, comprised of questions and answers from cross-national surveys designed to capture diverse opinions on global issues across dif
Charting a path to AI accountability
This week, Anthropic submitted a response to the National Telecommunications and Information Administration’s (NTIA) Request for Comment on AI Accountability. Today, we want to share our recommendations as they capture some of Anthropic’s core AI policy proposals.
Circuits Updates — May 2023
We report a number of developing ideas on the Anthropic interpretability team, which might be of interest to researchers working actively in this space. Some of these are emerging strands of research where we expect to publish more on in the coming months. Others are minor points we wish to share, since we're unlikely to ever write a paper about them.
Interpretability Dreams
Our present research aims to create a foundation for mechanistic interpretability research. In particular, we're focused on trying to resolve the challenge of superposition. In doing so, it's important to keep sight of what we're trying to lay the foundations for. This essay summarizes those motivating aspirations – the exciting directions we hope will be possible if we can overcome the present ch
Anthropic Raises $450 Million in Series C Funding to Scale Reliable AI Products
We are pleased to announce that we have raised $450 million in Series C funding led by Spark Capital with participation from Google, Salesforce Ventures, Sound Ventures, Zoom Ventures, and others. The funding will support our continued work developing helpful, harmless, and honest AI systems—including Claude, an AI assistant that can perform a wide variety of conversational and text processing tas
Zoom Partnership and Investment in Anthropic
We are announcing a new partnership with Zoom, a leader in enterprise collaboration and communication solutions. Zoom will use Claude, our AI assistant built with Constitutional AI, to build customer-facing AI products focused on reliability, productivity, and safety.
Introducing 100K Context Windows
We’ve expanded Claude’s context window from 9K to 100K tokens, corresponding to around 75,000 words! This means businesses can now submit hundreds of pages of materials for Claude to digest and analyze, and conversations with Claude can go on for hours or even days.
Claude’s Constitution
Update, Jan 21, 2026: We've published a new version of Claude's constitution, which you can find at the button above.
Distributed Representations: Composition & Superposition
Distributed representations are a classic idea in both neuroscience and connectionist approaches to AI. We're often asked how our work on superposition relates to it. Since publishing our original paper on superposition, we've had more time to reflect on the relationship between the topics and discuss it with people, and wanted to expand on our earlier discussion in the related work section and sh
Partnering with Scale to Bring Generative AI to Enterprises
We are pleased to announce our partnership with Scale, a leading platform for building, deploying and managing Generative AI applications. Scale customers will now be able to use Claude, our conversational AI assistant based on research into training helpful, honest, and harmless systems.
An AI Policy Tool for Today: Ambitiously Invest in NIST
We believe that sensible artificial intelligence (AI) policy requires, among other things, the ability to accurately describe and quantify the capabilities and risks of AI systems. This ability is both an enabler and a prerequisite to effective regulation, as measurement tools allow us to objectively assess systems and ensure they meet appropriate safety thresholds. In this post, we propose a poli
Privileged Bases in the Transformer Residual Stream
Our mathematical theories of the Transformer architecture suggest that individual coordinates in the residual stream should have no special significance (that is, the basis directions should be in some sense "arbitrary" and no more likely to encode information than random directions). Recent work has shown that this observation is false in practice. We investigate this phenomenon and provisionally
Introducing Claude
After working for the past few months with key partners like Notion, Quora, and DuckDuckGo in a closed alpha, we’ve been able to carefully test out our systems in the wild, and are ready to offer Claude more broadly so it can power crucial, cutting-edge use cases at scale.
Anthropic's core views on AI safety
AI progress may lead to transformative AI systems in the next decade, but we do not yet understand how to make such systems safe and aligned with human values. In response, we are pursuing a variety of research directions aimed at better understanding, evaluating, and aligning AI systems.
The Capacity for Moral Self-Correction in Large Language Models
We test the hypothesis that language models trained with reinforcement learning from human feedback (RLHF) have the capability to "morally self-correct" -- to avoid producing harmful outputs -- if instructed to do so. We find strong evidence in support of this hypothesis across three different experiments, each of which reveal different facets of moral self-correction. We find that the capability
Anthropic Partners with Google Cloud
Anthropic, an AI safety and research company, has selected Google Cloud as its cloud provider. The partnership is designed so that the companies can co-develop AI computing systems; Anthropic will leverage Google Cloud's cutting-edge GPU and TPU clusters to train, scale, and deploy its AI systems.“We're partnering with Google Cloud to support the next phase of Anthropic, where we're going to deplo
Superposition, Memorization, and Double Descent
In a recent paper, we found that simple neural networks trained on toy tasks often exhibit a phenomenon called superposition, where they represent more features than they have neurons. Our investigation was limited to the infinite-data, underfitting regime. But there's reason to believe that understanding overfitting might be important if we want to succeed at mechanistic interpretability, and tha
Discovering Language Model Behaviors with Model-Written Evaluations
As language models (LMs) scale, they develop many novel behaviors, good and bad, exacerbating the need to evaluate how they behave. Prior work creates evaluations with crowdwork (which is time-consuming and expensive) or existing data sources (which are not always available). Here, we automatically generate evaluations with LMs. We explore approaches with varying amounts of human effort, from inst
Constitutional AI: Harmlessness from AI Feedback
As AI systems become more capable, we would like to enlist their help to supervise other AIs. We experiment with methods for training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs. The only human oversight is provided through a list of rules or principles, and so we refer to the method as 'Constitutional AI'. The process involves both a supe
Measuring Progress on Scalable Oversight for Large Language Models
Developing safe and useful general-purpose AI systems will require us to make progress on scalable oversight: the problem of supervising systems that potentially outperform us on most skills relevant to the task at hand. Empirical work on this problem is not straightforward, since we do not yet have systems that broadly exceed our abilities. This paper discusses one of the major ways we think abou
Toy Models of Superposition
In this paper, we use toy models — small ReLU networks trained on synthetic data with sparse input features — to investigate how and when models represent more features than they have dimensions. We call this phenomenon superposition. When features are sparse, superposition allows compression beyond what a linear model would do, at the cost of "interference" that requires nonlinear filtering.
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
We describe our early efforts to red team language models in order to simultaneously discover, measure, and attempt to reduce their potentially harmful outputs. We make three main contributions. First, we investigate scaling behaviors for red teaming across 3 model sizes (2.7B, 13B, and 52B parameters) and 4 model types: a plain language model (LM); an LM prompted to be helpful, honest, and harmle
Language Models (Mostly) Know What They Know
We study whether language models can evaluate the validity of their own claims and predict which questions they will be able to answer correctly. We first show that larger models are well-calibrated on diverse multiple choice and true/false questions when they are provided in the right format. Thus we can approach self-evaluation on open-ended sampling tasks by asking models to first propose answe
Softmax Linear Units
In this paper, we report an architectural change which appears to substantially increase the fraction of MLP neurons which appear to be "interpretable" (i.e. respond to an articulable property of the input), at little to no cost to ML performance. Specifically, we replace the activation function with a softmax linear unit (which we term SoLU) and show that this significantly increases the fraction
Scaling Laws and Interpretability of Learning from Repeated Data
Recent large language models have been trained on vast datasets, but also often on repeated data, either intentionally for the purpose of upweighting higher quality data, or unintentionally because data deduplication is not perfect and the model is exposed to repeated data at the sentence, paragraph, or document level. Some works have reported substantial negative performance effects of this repea
Anthropic Raises Series B to build steerable, interpretable, robust AI systems
Anthropic, an AI safety and research company, has raised $580 million in a Series B. The financing will help Anthropic build large-scale experimental infrastructure to explore and improve the safety properties of computationally intensive AI models.Since its founding at the beginning of 2021, Anthropic has conducted research into making systems that are more steerable, robust, and interpretable. O
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
We apply preference modeling and reinforcement learning from human feedback (RLHF) to finetune language models to act as helpful and harmless assistants. We find this alignment training improves performance on almost all NLP evaluations, and is fully compatible with training for specialized skills such as python coding and summarization. We explore an iterated online mode of training, where prefer
In-context Learning and Induction Heads
Predictability and Surprise in Large Generative Models
Large-scale pre-training has recently emerged as a technique for creating capable, general purpose, generative models such as GPT-3, Megatron-Turing NLG, Gopher, and many others. In this paper, we highlight a counterintuitive property of such models and discuss the policy implications of this property. Namely, these generative models have an unusual combination of predictable loss on a broad train
A Mathematical Framework for Transformer Circuits
A General Language Assistant as a Laboratory for Alignment
Given the broad capabilities of large language models, it should be possible to work towards a general-purpose, text-based assistant that is aligned with human values, meaning that it is helpful, honest, and harmless. As an initial foray in this direction we study simple baseline techniques and evaluations, such as prompting. We find that the benefits from modest interventions increase with model
Anthropic raises $124 million to build more reliable, general AI systems
Anthropic, an AI safety and research company, has raised $124 million in a Series A. The financing round will support Anthropic in executing against its research roadmap and building prototypes of reliable and steerable AI systems.The company is led by siblings Dario Amodei (CEO) and Daniela Amodei (President). The Anthropic team has previously conducted research into GPT-3, Circuit-Based Interpre
