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reacted to SeaWolf-AI's post with π₯ about 2 hours ago
π 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
- π P1 Perception (25%) β Can it read the scene?
- π§ P2 Cognition (45%) β Does it predict threats, escalate emotions, utilize memory?
- π₯ 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.
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π Dataset β https://huggingface.co/datasets/FINAL-Bench/World-Model
π Demo β https://huggingface.co/spaces/FINAL-Bench/World-Model
π Leaderboard β https://huggingface.co/spaces/FINAL-Bench/worldmodel-bench
π 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! updated a Space about 5 hours ago
ginigen/siteagent-serverside published a Space about 5 hours ago
ginigen/siteagent-serversideOrganizations
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Wan2.2 14B Fast
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Wan_VO- generate a video from an image with a text prompt
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FLUX LoRa the Explorer
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Browse curated AI applications
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FLUX Prompt Generator
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Generate detailed AI image prompts with optional photo caption
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Realtime FLUX Image
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mcp_server & High quality Images in Realtime
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models 11
ginipick/Qwen-Image-Edit-Rapid-AIO
Text-to-Image β’ Updated β’ 1
ginipick/GLM-4.6
Text Generation β’ 357B β’ Updated β’ 7
ginipick/neutts-air
Text-to-Speech β’ 0.7B β’ Updated β’ 9 β’ 1
ginipick/MiniMax-M2
Text Generation β’ 229B β’ Updated β’ 6
ginipick/PaddleOCR-VL
Image-Text-to-Text β’ 1.0B β’ Updated β’ 4
ginipick/DeepSeek-OCR
Image-Text-to-Text β’ 3B β’ Updated β’ 8
ginipick/Gemma-3-R1984-4B
Image-Text-to-Text β’ 4B β’ Updated β’ 5 β’ 8
ginipick/QwQ-32B-NF4
Text Generation β’ 33B β’ Updated β’ 2 β’ 4
ginipick/wan-lora-cat
Text-to-Video β’ Updated
ginipick/c-bag
Updated
datasets 9
ginipick/awesome-chatgpt-prompts
Viewer β’ Updated β’ 203 β’ 18
ginipick/Toucan-1.5M
Viewer β’ Updated β’ 1.65M β’ 296
ginipick/finewiki
Viewer β’ Updated β’ 61.4M β’ 15
ginipick/darwin-a2ap-analysis
Viewer β’ Updated β’ 1k β’ 12
ginipick/market
Updated β’ 70
ginipick/darwin-a2ap-analysis-20250915_163155
Viewer β’ Updated β’ 20 β’ 9
ginipick/darwin-a2ap-analysis-20250915_151507
Viewer β’ Updated β’ 100 β’ 5
ginipick/pdf-test
Viewer β’ Updated β’ 5 β’ 4
ginipick/autotrain-data-autotrain-7u119-vc77x
Viewer β’ Updated β’ 8 β’ 18