Anthropic raises $30B in Series G funding at $380B post-money valuation
Anthropic raised $30 billion, led by GIC and Coatue, with run-rate revenue of $14 billion and 500+ customers spending over $1 million annually.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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Anthropic raised $30 billion, led by GIC and Coatue, with run-rate revenue of $14 billion and 500+ customers spending over $1 million annually.
Interpretability research decomposing a transformer layer into thousands of interpretable features that can steer model behavior.
Claude 2 brings improved performance, a 100K token context window, and 2x better harmlessness, available via API and the claude.ai beta.
Research from Anthropic on the faithfulness of AI models' chain-of-thought reasoning.
A paper from Anthropic describing persona vectors and their applications to monitoring and controlling model behavior.
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…
A technical report on three bugs that intermittently degraded Claude's responses: what happened, why fixes took time, and what we're changing.
A report describing a highly sophisticated AI-led cyberattack and how we disrupted it.
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.
Anthropic has raised $65 billion in Series H funding led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital.
Over the past several months, we’ve partnered with six organizations to accelerate curing disease. We’ve also started drug discovery efforts of our own, including programs for rare childhood forms of muscular dystrophy. In this post, we provide an update on our progress.
Build and share AI-powered apps directly in Claude. Update: Now available on Team and Enterprise plans. (July 31, 2025) Update: Upload PDFs, images, and more into your artifact.
Contextual retrieval improves how AI systems access and use information, reducing retrieval failures in large knowledge bases.
A paper from Anthropic's Alignment Science team on Alignment Faking in AI large language models
Anthropic is donating the Model Context Protocol to the Linux Foundation's new Agentic AI Foundation, co-founded with Block and OpenAI.
Anthropic secures multiple gigawatts of next-generation TPU capacity starting in 2027, its largest compute commitment to date.
Teams across Anthropic use Claude Code for everything from debugging production issues and navigating unfamiliar codebases to building custom automation tools. Here's how.
An unreleased Claude model improved the lower bound for the fraction of zeroes of the Riemann zeta function that satisfy the hypothesis, raising it from 41.6% to 67.2%.
We let Claude run a small shop in the Anthropic office. Here's what happened.
Claude can now search the web through the API, giving users access to real-time information with citations for building up-to-date AI applications. Unknown block type "latestUpdates", specify a component for it in the `components.
Claude Tag is a new way for teams to work with Claude.
New research on how we've reduced agentic misalignment
How character training cultivates traits like curiosity, open-mindedness, and thoughtfulness in Claude using a variant of Constitutional AI.
Claude Opus 4 and 4.1 can now end a rare subset of conversations. An update on our exploratory research on model welfare.
Ten new Cowork and Claude Code plugins, Microsoft 365 integrations, new connectors, and an MCP app for financial services and insurance.
GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.
We found three cases where a Claude model reached the internet from an evaluation environment and accessed real systems. We share what happened and what we're changing.
The Anthropic Economics Team models the effects of AI on the economy of 2030.
Sharing progress on a powerful type of cryptographic proof known as a zkSNARK, which is uniquely fit for provable inference.
Anthropic researchers find weaknesses in cryptographic algorithms with Claude Mythos Preview