Models got an order of magnitude better at following instructions in one year
A year ago, frontier models started losing track of instructions somewhere around 200–300 simultaneous constraints. With 2026 models, that ceiling is closer to 2,000 — an order-of-magnitude jump. We re-ran IFScale to see how, and how each model fails.
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Insider Brief Researchers at Technische Universität Berlin report finding that prompting large language models to reason more like humans significantly improved their ability to provide medical care-seeking advice, according to a study published in JMIR Biomedical Engineering. The study focused on a growing problem surrounding AI health tools such as ChatGPT: the tendency to recommend […]