Anthropic

Anthropic launched the Anthropic Cyber Mission, a long-term effort that starts in two places: the Critical Infrastructure Defense Program (CIDP), which brings frontier Claude models, on-site engineers and threat research to trusted providers defending operational technology behind power grids, water systems and transport, and OSS Scanner, a free service that gives open-source projects periodic security scans. Project Glasswing had already surfaced many vulnerabilities, but verifying, prioritizing and fixing them remains slow and cyber risk has not fallen enough.

Anthropic launched the Anthropic Cyber Mission, a long-term effort that starts in two places: the Critical Infrastructure Defense Program (CIDP), which brings frontier Claude models, on-site engineers and threat research to trusted providers defending operational technology behind power grids, water systems and transport, and OSS Scanner, a free service that gives open-source projects periodic security scans. Project Glasswing had already surfaced many vulnerabilities, but verifying, prioritizing and fixing them remains slow and cyber risk has not fallen enough.

Anthropic has committed $150 million over three years to the US federal Genesis Mission, aimed at making Claude available to more than 15 participating agencies, including NASA, the National Institutes of Health and the National Science Foundation. The funding will reach several hundred research projects as Claude, Claude Code and API credits, with training and technical support, focused on priorities such as fusion energy and quantum computing. The company had already worked with the Department of Energy to bring Claude to national laboratory scientists.

Anthropic has committed $150 million over three years to the US federal Genesis Mission, aimed at making Claude available to more than 15 participating agencies, including NASA, the National Institutes of Health and the National Science Foundation. The funding will reach several hundred research projects as Claude, Claude Code and API credits, with training and technical support, focused on priorities such as fusion energy and quantum computing. The company had already worked with the Department of Energy to bring Claude to national laboratory scientists.

Anthropic has donated Agent Skills, the open standard it published in December 2025, to the Agentic AI Foundation under the Linux Foundation, transferring the name, logo, GitHub organization and agentskills.io domain. A skill is a folder holding a SKILL.md file that teaches an agent a specific task or domain; the format grew out of Claude Code, which handled general knowledge work but often lacked the procedural knowledge real business tasks need. Since the October 2025 launch, one million skills have been published and installed nearly 280 million times, and more than 70 agent platforms including ChatGPT, Cursor, GitHub Copilot and VS Code have integrated the standard.

Anthropic has donated Agent Skills, the open standard it published in December 2025, to the Agentic AI Foundation under the Linux Foundation, transferring the name, logo, GitHub organization and agentskills.io domain. A skill is a folder holding a SKILL.md file that teaches an agent a specific task or domain; the format grew out of Claude Code, which handled general knowledge work but often lacked the procedural knowledge real business tasks need. Since the October 2025 launch, one million skills have been published and installed nearly 280 million times, and more than 70 agent platforms including ChatGPT, Cursor, GitHub Copilot and VS Code have integrated the standard.

Anthropic has opened a call for guest investigators in the life sciences, inviting principal investigators and their groups at academic institutions, nonprofits, or government labs to work directly with Anthropic researchers for 8 to 12 weeks on causal human biology, structural and computational molecular biology, medicinal chemistry, drug discovery, and clinical science using Claude. Anthropic runs its models and harnesses at no cost, outputs are published jointly with open-source data and code, and guest investigators retain rights to their data throughout. Applications are open for about 14 days, with selections expected by email roughly 14 days after the close.

Anthropic has opened a call for guest investigators in the life sciences, inviting principal investigators and their groups at academic institutions, nonprofits, or government labs to work directly with Anthropic researchers for 8 to 12 weeks on causal human biology, structural and computational molecular biology, medicinal chemistry, drug discovery, and clinical science using Claude. Anthropic runs its models and harnesses at no cost, outputs are published jointly with open-source data and code, and guest investigators retain rights to their data throughout. Applications are open for about 14 days, with selections expected by email roughly 14 days after the close.

Anthropic's life sciences team reports that Claude has been used inside real drug programs at six organizations, on tasks reaching from molecule design to manufacturing-document review and regulatory filings. Discussion of AI in drug development has centered on proposing initial molecule designs, while manufacturing paperwork stayed manual, with chemists spending up to 75% of their time on records. In Enveda's test, Claude caught all 11 issues human reviewers had flagged across 1,061 pages of documentation and flagged seven more, cutting human review time by 89%, from over 25 hours to less than three; most of these results remain preclinical.

Anthropic's life sciences team reports that Claude has been used inside real drug programs at six organizations, on tasks reaching from molecule design to manufacturing-document review and regulatory filings. Discussion of AI in drug development has centered on proposing initial molecule designs, while manufacturing paperwork stayed manual, with chemists spending up to 75% of their time on records. In Enveda's test, Claude caught all 11 issues human reviewers had flagged across 1,061 pages of documentation and flagged seven more, cutting human review time by 89%, from over 25 hours to less than three; most of these results remain preclinical.

The provenance of the NIST standard elliptic-curve “seeds” had been unexplained since the NSA supplied them without justification, and the community long suspected possible backdoors. An internal Anthropic research model, Claude, found in under half an hour that the seeds for P-192, P-224, P-256, P-384 and P-521 are not the output of any hash algorithm but of the 1990s C library generator lrand48 seeded with a Unix timestamp, with the P-256 seed appearing at iteration 1842. This is not an attack or a weakness in ECDSA; it makes deliberate backdoors much less plausible, while the B-163 seed and the base points of P-224, P-256, P-384 and P-521 remain unexplained.

The provenance of the NIST standard elliptic-curve “seeds” had been unexplained since the NSA supplied them without justification, and the community long suspected possible backdoors. An internal Anthropic research model, Claude, found in under half an hour that the seeds for P-192, P-224, P-256, P-384 and P-521 are not the output of any hash algorithm but of the 1990s C library generator lrand48 seeded with a Unix timestamp, with the P-256 seed appearing at iteration 1842. This is not an attack or a weakness in ECDSA; it makes deliberate backdoors much less plausible, while the B-163 seed and the base points of P-224, P-256, P-384 and P-521 remain unexplained.

Anthropic let Claude design quantum circuits in a closed loop with no human input between rounds: given plain-language specifications and an automated evaluator, the model produced new designs for eight computational primitives spanning chemistry, optimization, physics simulation and number theory, using both fewer qubits and fewer gates than the best previously published circuits, in some cases by an order of magnitude or more. On the elliptic-curve point-addition task it worked for 53 hours with minimal human input and produced the first reversible divsteps implementation with no stored branch history; its Reed–Solomon decoder for DQI cut gates 12-fold relative to Google's previous construction.

Anthropic let Claude design quantum circuits in a closed loop with no human input between rounds: given plain-language specifications and an automated evaluator, the model produced new designs for eight computational primitives spanning chemistry, optimization, physics simulation and number theory, using both fewer qubits and fewer gates than the best previously published circuits, in some cases by an order of magnitude or more. On the elliptic-curve point-addition task it worked for 53 hours with minimal human input and produced the first reversible divsteps implementation with no stored branch history; its Reed–Solomon decoder for DQI cut gates 12-fold relative to Google's previous construction.