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Current search agents fall short of user expectations, with a new benchmark revealing critical gaps in their performance on everyday tasks.
Long-context LLM rankings dramatically reshuffle when evaluated across a range of context lengths and capabilities, proving that a single headline score is misleading.
Interactive world models still have a long way to go: a comprehensive benchmark reveals that even state-of-the-art models struggle to consistently perform well across video quality, interaction adherence, and physics compliance.
LLMs that ace math and physics still struggle with general reasoning, achieving only 63% accuracy on a new K-12 level benchmark.
