Anthropic reports Claude agents identified a novel enzyme system with CRISPR-like repeats
Anthropic shared early results from its new life sciences research lab, where Claude agents autonomously discovered a novel enzyme system. The system is based on a reverse transcriptase and features a DNA repeat pattern reminiscent of CRISPR arrays. Although the specific function of this system remains unknown, initial experiments indicate it is expressed as distinct short RNAs. The discovery was made after roughly 950 agents searched massive DNA sequence databases for over 21 hours. Anthropic emphasizes that all wet-lab validation was performed by human scientists, while Claude handled the computational hypothesis generation and anomaly detection.
anthropic.com
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HN discussion
Claude Code AGENTS.md support disabled by default behind remote flag
Claude Code 2.1.277 added AGENTS.md support, but the loader operates behind a remote feature flag. The author measured that with telemetry or nonessential traffic disabled, the local file is skipped without warning. This occurs because the plugin’s default state is off and relies on a server-side switch. The post details this behavior and proposes a one-line CLAUDE.md workaround to ensure instructions load locally. The author argues that a privacy setting should not silently disable local file reading, noting that third-party gateways like Bedrock face the same issue. They suggest a startup warning would help users who might otherwise misdiagnose the problem as a model failure.
blog.szypowi.cz
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Anthropic accelerated claude.ai threefold using Claude to drive a two-week performance sprint
Anthropic engineers made the core experience of claude.ai and the desktop app roughly three times faster in two weeks. They focused on four user journeys representing 95% of activity, reducing specific load times significantly. Claude identified bottlenecks, built benchmarks, and shipped improvements while humans approved every change. This approach allowed them to merge over 3,000 changes without customer-facing incidents. The team estimates these optimizations save tens of thousands of user-hours daily.
claude.dev
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HN discussion