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Progress on provable inference for large language models
We have made progress on a type of cryptographic proof known as a “zkSNARK.” In this post, we share some of that progress, primarily through a system we call FlashProve.
Donating Agent Skills to the Agentic AI Foundation
We’re donating Agent Skills, the open standard that gives AI agents specialized knowledge and workflows, to the Agentic AI Foundation. More than 70 agent platforms, including ChatGPT, Cursor, GitHub Copilot, and VS Code, have integrated Agent Skills since we published the standard in December 2025.
LLMs are making formal software verification feasible at a much larger scale
We used Claude to prove security properties in over 100 real-world open-source libraries over the span of a few weeks.
Using Claude to reduce the attack surface of code
Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term. In this post, we preview data we’ve collected from applying attack surface reduction techniques to large open-source codebases using Claude.
Launching an opt-in vulnerability-finding service for open-source software
We’re making available OSS Scanner, an opt-in vulnerability scanner for the open-source ecosystem that’s informed by our experience using Claude to find vulnerabilities during Project Glasswing.
Introducing the Anthropic Cyber Mission
We’re launching the Anthropic Cyber Mission, a long-term commitment to securing the systems everyone depends on.
Claude-shaped science
Guest author Prof. Matthew Schwartz describes what happened when he stopped fighting Claude and allowed Claude to find “Claude-shaped” problems: ones best suited to the capabilities of the current generation of LLM tools. This led him to build BootLoops, a toolkit for exact calculations in quantitative science, which he has been applying across scientific fields alongside experts.
GLM-5.3 and the spread of advanced cyber capabilities
Like Claude Mythos Preview, GLM-5.3 has strong capabilities for autonomously building end-to-end cyber exploits. But unlike other frontier models, GLM-5.3 has been released without meaningful safeguards to limit misuse.
How Claude is uplifting biomolecular modeling
Claude made the open-source models that scientists use to predict and design biomolecules faster and more memory-efficient. Claude optimized more than 30 of these models in just under four weeks, speeding them up roughly 4x on average. It also created a low-memory mode that enables the accurate prediction of biomolecular systems larger than 10,000 tokens (amino acids, nucleotides, and atoms from small molecules and ions) on a single NVIDIA GPU node.
Funding better evaluations of AI’s impact on wellbeing
We’re launching a $5 million grant program to fund independent research into how AI impacts users’ wellbeing.
Our position on open-weights models
Anthropic CEO Dario Amodei on open-weights models
A global workspace in language models
New interpretability research reveals an emergent mental workspace in Claude that holds internal thoughts that don’t appear in the model’s output.
Expanding Project Glasswing
We’re extending Project Glasswing to approximately 150 new organizations in more than fifteen countries.
Project Glasswing: An initial update
An early update on what we've learned from Project Glasswing.
Natural Language Autoencoders: Turning Claude’s thoughts into text
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
Claude for Creative Work
We’re releasing a set of connectors that let Claude work alongside the software creative professionals rely on, so creatives can extend their reach.
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.
A “diff” tool for AI: Finding behavioral differences in new models
"Model diffing" is a powerful way to understand how models change during fine-tuning. Our new research paper extends this method to its most challenging and general use case: comparing models with entirely different architectures.
Partnering with Mozilla to improve Firefox’s security
In this post, we share details of a collaboration with researchers at Mozilla in which Claude Opus 4.6 discovered 22 vulnerabilities over the course of two weeks.