MMGR Benchmark Test: Why Your AI Video Generator Fails Sudoku and Walks Through Walls
5 days ago 高效码农What MMGR Really Tests: A Plain-English Walk-Through of the Multi-Modal Generative Reasoning Benchmark > If you just want the takeaway, scroll to the “Sixty-Second Summary” at the end. > If you want to know why your shiny text-to-video model still walks through walls or fills Sudoku grids with nine 9s in the same row, read on. 1. Why another benchmark? Existing video scores such as FVD (Fréchet Video Distance) or IS (Inception Score) only ask one question: “Does the clip look realistic to a frozen image classifier?” They ignore three bigger questions: Is the motion physically possible? Does the scene …
Glass-Box Observability: How to Prove Your AI Agent is Ready for Production
5 days ago 高效码农Agent Quality: From Black-Box Hopes to Glass-Box Trust A field manual for teams who build, ship, and sleep with AI Agents Article’s central question “How can we prove an AI Agent is ready for production when every run can behave differently?” Short answer: Stop judging only the final answer; log the entire decision trajectory, measure four pillars of quality, and spin the Agent Quality Flywheel. Why Classic QA Collapses in the Agent Era Core reader query: “My unit tests pass, staging looks fine—why am I still blindsided in prod?” Short answer: Agent failures are silent quality drifts, not hard exceptions, …