Anthropic

Søren Kierkegaard wrote that life can only be understood backward, but it must be lived forward. We’ve encountered a similar bind when designing memory for AI agents. As humans, we encode memory constantly as we go about our lives. The hippocampus plays a central role in this, capturing experiences in the moment so that memories form quickly and are immediately available. But only some experiences are consolidated into long-term knowledge.

Johannes Hermle*, Ben Jones*, Lukas Althoff*, Ryan Heller, Thomas Lyttelton, Carolyn Stein, Nathan Wilmers, Maxim Massenkoff, Peter McCrory *Lead authors of the report What we measure. AI could speed up scientific discovery, but by how much depends on what AI can do and how scientists use it. Using privacy-preserving methods, we study 207,000 Claude and Claude Code research sessions to understand how Claude is used across scientific fields and research tasks.

Roy Rinberg (Anthropic), Alex Allain (Anthropic); Alessandro Chiesa (EPFL, StarkWare), Miranda Christ (MIT, RESI), Rahul Dalal (Anthropic STEM Fellows Program, Succinct), Giacomo Fenzi (EPFL), Ben Mayer (Anthropic Fellows Program, MIT), Guy Weissenberg (EPFL) When you talk to a friend in person, you have many ways to know it is really them: you can see them, hear them, shake their hand. When you talk to an AI model, you have almost none.

Today we are opening applications for the Anthropic Residency, our paid, fixed-term research program with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making AI systems safe and beneficial for all of humanity.

We’re highlighting 20 scientific foundations, institutions, and research groups from around the world that we’ve partnered with in an expansion of our AI for Science program, which gives free Claude credits to researchers working on high-impact scientific projects. We started the AI for Science program in May 2025 with the belief that AI could significantly speed up scientific progress.

We are expanding our partnership with the General Services Administration (GSA) through a new agreement that gives government partners a 40% discount on Claude Enterprise, Claude for Government, and the Claude API. For the first time, the discount applies across every product surface, including when agencies buy from us directly today and through cloud providers in the coming months. The discount also extends to state, local, tribal and territorial governments.

Anthropic’s life sciences team is working to accelerate curing disease. Over the past several months, our scientists have engaged in deep research partnerships with six organizations developing new medicines: BigHat Biosciences, Bristol Myers Squibb, Divergence Labs, Enveda, Generate Biomedicines, and The Column Group. We've also begun drug discovery efforts of our own.

Amaç Herdağdelen, Hailey Joren, Alex Tamkin When experts hand their work to an AI agent, the usual assumption is that they still make the decisions that matter. The agent writes the code, runs the numbers, and offers advice, but the expert decides what to measure, how to interpret ambiguous evidence, and what the next steps should be. Often there is more than one reasonable answer to these questions, and the decision will come down to the experience and values of whoever makes the call.

Today, Anthropic, PBC filed a registration statement on Form S-1 with the U.S. Securities and Exchange Commission relating to its proposed initial public offering of its Class A common stock. Anthropic intends to list its Class A common stock on the Nasdaq Global Select Market under the symbol “ANT.” The number of shares of Class A common stock to be offered and the price range for the proposed offering have not yet been determined. The proposed offering will be made only by means of a prospectus.

Keane Lucas, Aengus Lynch, Luna Tong, Luke Champine, Zygi Straznickas, Dino Distefano, Harshikaa Agrawal Evyatar Ben Asher, Ava Howell, Sami Jawhar, Chris Rohlf, Nickolai Zeldovich Nicholas Carlini, Rajashree Agrawal, Jason Gross Most software is riddled with bugs, which AI can now easily find and exploit. The standard defenses against cyberattacks are no longer sufficient: we need ways to prove that code is free of bugs.