Claude

A physicist set an AI system a notoriously difficult nine-loop problem from theoretical physics, and Claude managed to solve it. The result is drawing attention to how far large language models have come in handling complex, technical calculations once thought to be beyond their reach, and is sparking debate among researchers about AI's growing role in scientific work.

A video clip of computing pioneer Alan Kay is circulating on Hacker News, in which he discusses Claude Shannon, the mathematician who founded information theory. The snippet shown references Shannon's work on handling noisy communication channels, a foundational idea behind modern digital communication and computing. Commenters appear drawn to Kay's reflections on computing history and theory, though the full context of the discussion is limited to a single post with around 140 points and no visible thread detail.

Anthropic says its Claude AI model has independently discovered a new enzyme system after analysing DNA databases, marking the first discovery to come out of the company's newly established biotech laboratory. The announcement is being shared widely in German-language tech and science circles, with commentators framing it as a milestone for AI-assisted biological research.

Anthropic says its Claude AI helped identify a previously unknown gene-editing enzyme, a claim that, if verified, would mark a significant moment for AI-driven scientific discovery. However, the finding has not yet been independently confirmed by the scientific community, and experts are urging caution until the results are peer-reviewed or replicated in the lab.

The phrase 'Plan mode is dead' is spreading on Hacker News, attached to a blog post by Aymann Nadeem. Plan mode is a feature in AI coding tools, notably Claude Code, that lets the model sketch an approach before writing code. The post argues this way of working with AI assistants has run its course, apparently because newer agent capabilities make upfront planning less necessary. Commenters on the thread are debating the claim and what it means for developer workflows, though the full reasons are not clear from the snippet alone.

reverse-skill is a GitHub repository by zhaoxuya520 described as a skill router pack for reverse engineering, authorized penetration testing and security research. It uses AI-powered routing, bootstraps security toolchains on demand, and maintains a self-evolving knowledge base. It is built for AI coding clients such as Claude Code, Kiro, Cursor and Cline, and is written in PowerShell. The repository is trending globally with around 409 interactions, drawing attention from developers interested in integrating security tooling with AI assistants. Discussion beyond the repository description is not available in the posts.

Claude has reportedly computed a nine-loop scattering amplitude in physics, surpassing a long-standing record associated with Lance Dixon. The result concerns perturbative quantum field theory, where multi-loop amplitude calculations are notoriously difficult. Physicists are discussing whether an AI system genuinely produced a correct result at this complexity level, or whether the claim requires independent verification before it can be accepted by the community.

Anthropic claims its Claude AI model computed a nine-loop particle physics amplitude, an extraordinarily complex calculation in quantum field theory that would normally demand enormous effort from human physicists. If verified, the result would mark a striking demonstration of AI capabilities in theoretical physics, and it is prompting debate among researchers about how the computation was performed and whether it can be independently confirmed.