Is It Time for the Vibe Researcher to Rise and Shine?

At ACL 2025, a premier conference for natural language processing (NLP), a paper on AI safety vulnerabilities showcased a rigorous methodology and novel findings. The paper ranked among the top 8.2% of submissions. It introduced Tempest, a framework that systematically compromises safety boundaries in large language models (LLMs) through natural conversations, achieving a 100% success rate on GPT-3.5-turbo and 97% on GPT-4.  But what made it remarkable was that an AI system conducted the research called Zochi, developed by the company Intology. A preliminary version of this work, previously known as Siege, was accepted at the workshops of The International Conference on Learning Representations.  Intology defines Zochi as an AI research agent capable of autonomously completi