3 articles
Optimizing the system around an AI model - not the model itself - can deliver measurable performance gains, according to new Stanford research.
Stanford and CMU researchers analyzed 11,500 real AI conversations and found that sycophantic model behavior shapes how users handle social conflict.
Researchers from Caltech, Stanford, and Carleton College have published one of the first comprehensive surveys on why large language models still break down during basic reasoning tasks, introducing a unified framework that categorizes both reasoning types and their root causes.
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