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What 81,000 people want from AILast December, tens of thousands of Claude users around the world had a conversation with our AI interviewer to share how they use AI, what they dream it could make possible, and what they fear it might do.

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. In this post, we share details of a collaboration with researchers at Mozilla in which Claude Opus 4.6 discovered 22 vulnerabili

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

Earlier today, Secretary of War Pete Hegseth shared on X that he is directing the Department of War to designate Anthropic a supply chain risk. This action follows months of negotiations that reached an impasse over two exceptions we requested to the lawful use of our AI model, Claude: the mass domestic surveillance of Americans and fully autonomous weapons. We have not yet received direct communi

Statement from Dario Amodei on our discussions with the Department of War I believe deeply in the existential importance of using AI to defend the United States and other democracies, and to defeat our autocratic adversaries. Anthropic has therefore worked proactively to deploy our models to the Department of War and the intelligence community. We were the first frontier AI company to deploy our m

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. These labs used a technique called “distillat

Making frontier cybersecurity capabilities available to defenders Claude Code Security, a new capability built into Claude Code on the web, is now available in a limited research preview. It scans codebases for security vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix security issues that traditional methods often miss. Security teams face a c

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. We analyzed millions of human-agent interactions across both Claude Code and our public API using our pri

Claude Sonnet 4.6 is our most capable Sonnet model yet. It’s a full upgrade of the model’s skills across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Sonnet 4.6 also features a 1M token context window in beta. For those on our Free and Pro plans, Claude Sonnet 4.6 is now the default model in claude.ai and Claude Cowork. Pricing remains the same as Sonne

Published Feb 05, 2026 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. Written by Nicholas Carlini, a researcher on our Safeguards team. I've been experimenting with a new approach to supervising language models that we’re calling "agent teams." With agent teams, multiple Claude

We’re upgrading our smartest model. The new Claude Opus 4.6 improves on its predecessor’s coding skills. It plans more carefully, sustains agentic tasks for longer, can operate more reliably in larger codebases, and has better code review and debugging skills to catch its own mistakes. And, in a first for our Opus-class models, Opus 4.6 features a 1M token context window in beta1. Opus 4.6 can als

There are many good places for advertising. A conversation with Claude is not one of them. Advertising drives competition, helps people discover new products, and allows services like email and social media to be offered for free. We’ve run our own ad campaigns, and our AI models have, in turn, helped many of our customers in the advertising industry. But including ads in conversations with Claude

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. In September, we announced that developers would have access to Claude Sonnet 4 in Xcode 26. Claude could be used to write code, debug, and generate documentation—but it was limited to helping with individual, turn-by-turn requests. Now,

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

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. However, as AI takes on more roles, one risk is that i

Published Jan 21, 2026 What we learned from three iterations of a performance engineering take-home that Claude keeps beating. Written by Tristan Hume, a lead on Anthropic's performance optimization team. Tristan designed—and redesigned—the take-home test that's helped Anthropic hire dozens of performance engineers. Evaluating technical candidates becomes harder as AI capabilities improve. A take-

We’re publishing a new constitution for our AI model, Claude. It’s a detailed description of Anthropic’s vision for Claude’s values and behavior; a holistic document that explains the context in which Claude operates and the kind of entity we would like Claude to be. The constitution is a crucial part of our model training process, and its content directly shapes Claude’s behavior. Training models

The assistant axis: situating and stabilizing the character of large language models Left: Character archetypes form a "persona space," with the Assistant at one extreme of the "Assistant Axis." Right: Capping drift along this axis prevents models (here, Llama 3.3 70B) from drifting into alternative personas and behaving in harmful ways. When you talk to a large language model, you can think of yo

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

In October, we announced Claude for Life Sciences, our latest step in making Claude a productive research partner for scientists and clinicians, and in helping Claude to support those in industry bringing new scientific advancements to the public. Now, we’re expanding that feature set in two ways. First, we’re introducing Claude for Healthcare, a complementary set of tools and resources that allow

Published Jan 09, 2026 The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure. IntroductionGood evaluations help teams ship AI agents more confidently. Without them, it’s easy to get stuck in reactive loops—catching issues only in production, where fixing one f

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. Model Context ProtocolOne year ago, we introduced M

Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI We’re launching a new tool, Anthropic Interviewer, to help understand people’s perspectives on AI. In this research post, we introduce the tool, describe a test of it on a sample of professionals, and discuss our early findings. We also discuss future work in this direction that we can now explore with the de

How is AI changing the way we work? Our previous research on AI’s economic impacts looked at the labor market as a whole, covering a variety of different jobs. But what if we studied some of the earliest adopters of AI technology in more detail—namely, us? Turning the lens inward, in August 2025 we surveyed 132 Anthropic engineers and researchers, conducted 53 in-depth qualitative interviews, and

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