GPT-5 Nano

A new benchmark called RobustMAD, developed by researchers and described in arXiv:2607.16243v1, reveals that multimodal small language models (MSLMs) can outperform larger models like GPT-5 Nano on in…

A study by Cristina J. Perez, Michael P. Vasquez Jr, Philippe Giabbanelli, and Patrick Y. Wu found that large language models (LLMs) have a mean absolute error of 23 percentage points when simulating …

Researchers developed a method to combine AI control protocols by routing between them based on predicted usefulness and suspicion, achieving better safety-usefulness tradeoffs. They also addressed at…

A security assessment of OpenAI's GPT-5 Nano model found critical vulnerabilities, including a 100% susceptibility to recursive instruction framing attacks, where the model fails to distinguish betwee…