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reacted to SeaWolf-AI's post with ❤️ 1 day ago
🌍 World Model Bench — 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 — 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 — 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 · 10 Categories · 100 Scenarios · 1,000-point scale - 👁 P1 Perception (25%) — Can it read the scene? - 🧠 P2 Cognition (45%) — Does it predict threats, escalate emotions, utilize memory? - 🔥 P3 Embodiment (30%) — Does the body respond with the right motion? All evaluation is via simple JSON I/O — no 3D engine, no special hardware. Any model with an API can participate. We also built PROMETHEUS as a live reference implementation — runs in your browser on a T4, no install needed. Combines FloodDiffusion motion generation with a LLM cognitive brain (Perceive → Predict → Decide → Act). Scored 726/1000 (Grade B) on Track C — the only directly verified model so far. Submissions from other teams very welcome. --- 🗂 Dataset → https://huggingface.co/datasets/FINAL-Bench/World-Model 🌍 Demo → https://huggingface.co/spaces/FINAL-Bench/World-Model 🏆 Leaderboard → https://huggingface.co/spaces/FINAL-Bench/worldmodel-bench 📝 Article → https://huggingface.co/blog/FINAL-Bench/world-model Part of the FINAL Bench Family — 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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FINAL-Bench/worldmodel-bench
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