Anthropic

Some of the biggest discoveries in biology started with someone noticing something strange in one of the many molecular machines found in nature. We’re introducing a new molecular biology research group and lab at Anthropic to see if Claude can help scientists notice more of them. The team has spent their careers hunting for unusual proteins, from tracing how CRISPR systems evolved to finding new enzymes for cell and gene therapies. Now, they do that work with Claude. It combs through huge data

Claude Fable 5.1 is the latest upgrade to our most capable class of models. It excels at complex, long-running tasks, and its research capabilities offer an early glimpse of how AI will contribute to scientific progress. It excels at complex, multi-step work, like a long mathematical proof or a contract with hundreds of cross-references. It avoids shortcuts and is smart enough to fix the root causes of software issues. Across our benchmarks, Fable 5.1 sets a new standard, and at lower effort levels it can achieve similar or better results than Fable 5 at a much lower cost. Claude Fable 5.1 is available everywhere today. Read more: https://www.anthropic.com/claude-fable-and-mythos-5-1

Claude Fable 5.1 is the latest upgrade to our most capable class of models. It excels at complex, long-running tasks, and its research capabilities offer an early glimpse of how AI will contribute to scientific progress. It excels at complex, multi-step work, like a long mathematical proof or a contract with hundreds of cross-references. It avoids shortcuts and is smart enough to fix the root causes of software issues. Across our benchmarks, Fable 5.1 sets a new standard, and at lower effort levels it can achieve similar or better results than Fable 5 at a much lower cost. Claude Fable 5.1 is available everywhere today. Read more: https://www.anthropic.com/claude-fable-and-mythos-5-1

The Model Hardware Standard (MHS) is a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS started as part of a beneficial deployments project between Anthropic and HHMI Janelia Research Campus and is evolving into a wider industry effort. This video shows what MHS is, how it works, and early examples of AI agents operating lab and manufacturing equipment. MHS is now in research preview with select partners. Read more about how we're learning what AI can do in the physical world: https://www.anthropic.com/news/model-hardware-standard-research-preview

Scientists spend a significant amount of their time just getting their devices to communicate with one another. Each device tends to have its own programming interface, and so far there has been no standardized way to integrate them, or to allow them to connect to AI. The Model Hardware Standard (MHS) gives AI models one common way to connect to lab and manufacturing equipment and operate it safely, with limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus, and is beginning as a research preview with partners across science, robotics and manufacturing.

The Model Hardware Standard (MHS) is a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS began as a collaboration between Anthropic’s Beneficial Deployments team and HHMI Janelia Research Campus. This video tells the story of how MHS was developed and shows how it can be used to accelerate scientific research. MHS is now in research preview with select partners. Read more about how we're learning what AI can do in the physical world: https://www.anthropic.com/news/model-hardware-standard-research-preview

In late 2025, Iceland’s government launched one of the world’s first national AI education pilots, giving teachers who volunteered access to AI tools. We visited Iceland to find out how people are thinking about AI. More information about the pilot: https://www.anthropic.com/news/anthropic-and-iceland-announce-one-of-the-world-s-first-national-ai-education-pilots

Out of everything happening in your brain right now, only a tiny fraction is consciously accessible — thoughts you can describe, hold in mind, and reason with. We found a strikingly similar divide inside our AI model, Claude. Our experiments were inspired by a leading theory in neuroscience: the global workspace theory. It holds that a thought becomes consciously accessible when it enters a shared "workspace" that's broadcast across the brain. We found a set of representations in Claude’s neura

Claude Fable 5 is our most capable model yet, now generally available. It’s a Mythos-class model with safeguards that let us share it broadly without compromising on safety. It can stay with complex t

AI models like Claude talk in words but think in numbers. These numbers, called activations, encode Claude’s thoughts, but not in a language we can read. We are introducing Natural Language Autoencode

Official demonstration from Anthropic showing Claude Sonnet 4.5's capabilities - the best model for coding and using computers. Watch Claude clone Claude.ai from scratch.