A new PNAS study built autonomous AI analysts and turned them loose on fixed datasets. They reproduced the dispersion of human many-analyst studies — and swapping the analyst's persona shifted the results, even among methodologically sound runs.

GPT-4 forecast the results of 70 real survey experiments almost as well as running them — and a new Science agent now runs biomedical studies on its own. What autonomous research instruments mean for your lab.

New AI systems from Google DeepMind and FutureHouse generate hypotheses, design experiments and interpret results — but the evidence still comes from the lab bench. Plus deepfake face detection, deep learning for company dynamics, and the evolvable-AI threat debate.

A four-study look at when humans take AI financial advice, a blueprint for governing AI in peer review, and new tools for doing inference with machine-generated variables.