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Study identifies weaknesses in how AI systems are evaluated(oii.ox.ac.uk)
397 points by pseudolus | 186 comments
Oxford Internet Institute news item on a study finding that most of 445 LLM benchmarks lack rigorous methods and clear definitions of what they measure.
Do not fear AI. Fear AI companies(df7sc6o35ljoz.cloudfront.net)
14 points by rDr4g0n | 2 comments
An essay arguing that people should fear the companies building AI rather than AI itself, appealing to readers' intuition that something is wrong.
AI models can provably hide arbitrary capabilities(arxiv.org)
252 points by sbulaev | 118 comments
An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.
AI tools are spotting errors in research papers(nature.com)
555 points by kgwgk | 200 comments
Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.
AI companies in race to demonstrate their model most threatening to humanity(thecivilian.co.nz)
388 points by ljewalsh | 304 comments
Satirical news article from The Civilian claiming AI companies are competing to show their models are the most existentially threatening to humanity.
AI demands more engineering discipline. Not less(charitydotwtf.substack.com)
321 points by BerislavLopac | 157 comments
Charity Majors' Substack essay arguing that AI-assisted development requires more engineering discipline, comparing it to the shift from pet servers to immutable infrastructure.












