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reacted to SeaWolf-AI's post with ❀️ 1 day ago
🌍 World Model Bench β€” does your world model actually think? FID measures realism. FVD measures smoothness. But neither tells you whether the model understood the scene. We just released WM Bench β€” the first benchmark for cognitive intelligence in world models. The core question: when a beast charges from 3 meters away, does the model know to sprint β€” not walk? Does it respond differently to a human vs an animal? Does it remember the left corridor was blocked two steps ago? Those are cognitive questions. No existing benchmark asks them. So we built one. 3 Pillars Β· 10 Categories Β· 100 Scenarios Β· 1,000-point scale - πŸ‘ P1 Perception (25%) β€” Can it read the scene? - 🧠 P2 Cognition (45%) β€” Does it predict threats, escalate emotions, utilize memory? - πŸ”₯ P3 Embodiment (30%) β€” Does the body respond with the right motion? All evaluation is via simple JSON I/O β€” no 3D engine, no special hardware. Any model with an API can participate. We also built PROMETHEUS as a live reference implementation β€” runs in your browser on a T4, no install needed. Combines FloodDiffusion motion generation with a LLM cognitive brain (Perceive β†’ Predict β†’ Decide β†’ Act). Scored 726/1000 (Grade B) on Track C β€” the only directly verified model so far. Submissions from other teams very welcome. --- πŸ—‚ Dataset β†’ https://huggingface.co/datasets/FINAL-Bench/World-Model 🌍 Demo β†’ https://huggingface.co/spaces/FINAL-Bench/World-Model πŸ† Leaderboard β†’ https://huggingface.co/spaces/FINAL-Bench/worldmodel-bench πŸ“ Article β†’ https://huggingface.co/blog/FINAL-Bench/world-model Part of the FINAL Bench Family β€” alongside FINAL Bench (Feb 2026). Feedback on rubrics and missing models always welcome!
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Introducing WM Bench: A Benchmark for Cognitive Intelligence in World Models
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