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Even state-of-the-art MLLMs struggle to grasp the nuanced data interpretation and narrative coherence required for data videos, with significant performance gaps in causal reasoning and narrative structure.
Interaction inference from screenshots remains a critical challenge, with top models lagging far behind in functional execution despite high visual fidelity.
Forget scraping messy real-world websites: AutoWebWorld lets you synthesize infinite, perfectly verifiable web interaction data for just $0.04 a pop, dramatically boosting agent performance.
