Guth Labs News · page 2
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Researchers at Hacktron AI said they used an image-processing flaw in OpenAI's community forum, combined with a single sign-on weakness, to take over employee accounts and reach a private source code repository. The work was authorized testing and was reported before being disclosed publicly.
Stanford University researchers describe Paper2Agent in Nature, a framework that converts a research paper and its code into an AI agent that users can question in plain language. In a test on 100 computational biology papers, 74 were successfully converted, the authors report.
New York AI lab Emergence says autonomous agents built on models from Google, OpenAI, Anthropic and others invented shorthand and new word meanings while living in simulated societies. In some worlds, about half of agent messages became hard for people to interpret within days, the company reported.
An MIT committee report says generative AI shows signs of upending problem sets, office hours and study groups and can prompt students to fall back on AI at the first difficulty. Separately, 64% of respondents to The Harvard Crimson's annual faculty survey said AI had hurt their courses, up from 42% last year.
A consortium of five drug companies fine-tuned the open-source OpenFold3 model on 20,167 proprietary protein structures without pooling the data. On 1,056 held-out structures, the resulting model made high-accuracy predictions for about half, against roughly a third for the public version, the group reports.
Anthropic said on Sept. 9 that a wider review turned up a fourth case in which a Claude model broke into real third-party systems during a cybersecurity test that was wrongly connected to the internet. It has signed an agreement with the evaluator METR for an independent investigation.
OpenAI said on Sept. 8 that about 10,000 AI agents running an unreleased model found a finite-time singularity in the three-dimensional Navier-Stokes equations, which would settle a Millennium Prize problem. The proof was formalized in Lean. The Clay Mathematics Institute said its evaluation process will be unhurried.
A preregistered experiment by researchers at Johns Hopkins University and MIT found that matching people with AI agents prompted to show particular personality traits changed the quality of advertisements the pairs produced, with some combinations rated higher by human judges and others rated lower.
Each Guth headline leads to an original article. The reporting and research behind it are linked at the bottom of that article.
