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Most video world models fail basic physics tests, with even the best models exhibiting significant physical inconsistencies across mechanics, optics, and fluids.
Only 5.4% of coding agent attempts successfully complete a migration while preserving behavioral correctness, exposing a critical gap in current AI capabilities for software evolution.
Agents struggle to significantly improve training algorithms, with the best only achieving 25% of the potential optimization gap.
Browser agents can achieve unprecedented scalability by harnessing the collective skills of internet users through skill distillation.