A study by David Stromberg of Stockholm University, Victor Lei, and Wu Yanhui of the University of Hong Kong tracked 27,000 Chinese students aged 12 to 18 and found a gap between AI-assisted homework performance and unaided exam results. About 80% of surveyed students reported using AI models including Doubao and DeepSeek, while the 20% who did not use AI served as a control group. Over six months, students using AI increased their average homework scores by 18% across subjects, according to figures reported by The Economist on August 18. Under exam conditions without AI access, those students scored 20% below classmates who had not used the tools during the period. The researchers’ full study had not been independently verified by other institutions at the time of publication. A 2024 University of Pennsylvania study found a similar pattern in math: students using ChatGPT or an AI tutoring program did better during practice but did not retain that advantage on a later closed-book test. A Brookings Institution tip sheet cautioned that AI can support learning when used intentionally, while overreliance that substitutes for thinking, social interaction, or creativity may hinder cognitive and social-skill development.

“Mathematics in the age of AI” examines how the mathematical community might respond if artificial-intelligence tools become capable of research-level mathematical work. The essay treats the arrival of those capabilities as a hypothesis rather than debating whether or when they will emerge. The work shifts attention from AI capability to the goals and values of mathematical research. It uses mathematics’ problem-solving component as a case study for considering what researchers value beyond the production of solutions. The essay is based on a public lecture delivered at the 2026 International Congress of Mathematicians and was submitted to arXiv on August 17, 2026.

AI tools are increasing the publication rate and citation counts for scientists, leading to faster career advancement. However, reliance on AI in research may limit originality and reduce overall scientific curiosity.

An analysis of 125,000 kernel vulnerabilities reveals that bugs remain undetected for an average of 2.1 years, with race conditions lasting over twice as long as other types. VulnBERT has been developed to identify these vulnerabilities at the commit stage.

A comprehensive analysis of Show HN posts reveals macro-economic trends, indications of voting rings and fraud, and behavioral shifts within the Hacker News community. Reproducible code is highlighted as a key interest among users.

Repository-level context files are commonly used to customize coding agents for specific software repositories. There is a lack of rigorous investigation into the effectiveness of these context files in enhancing coding agent performance.