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Stop blindly throwing compute at agent harnesses: effective feedback, not raw tokens, dictates scaling laws.
Even the best large vision-language models struggle with multi-image reasoning, scoring only 50% on a new benchmark designed to challenge their capabilities.
Current multimodal agents are surprisingly bad at research workflows, struggling to integrate evidence across papers and figures in multi-turn settings.
