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LLM AssBench: AIs build 3D buttocks to compare skills

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LLM AssBench: AIs build 3D buttocks to compare skills

3 Key Points

  1. What happened

    Developer Luigi released LLM AssBench in September 2026; AIs must build a rotatable, clickable 3D buttocks model using Three.js in one HTML file, and 42 results are registered.

  2. Why it matters

    Because the prompt also requires skin texture and soft jiggle on click, the benchmark shows how well each AI translates 3D shape and physics into working code, not just text.

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Context & Analysis

Common AI benchmarks lean on math problems or coding tasks, but widely known problems may already sit in training data, making it hard to measure ability accurately. LLM AssBench sidesteps that by asking for something with no standard answer: a single HTML file containing a realistic, operable 3D buttocks model built with Three.js, complete with skin texture, drag-to-rotate and click-to-jiggle behavior.

Luigi points out that small AIs can sometimes produce 3DCG close in quality to large ones, and argues that judging performance requires looking beyond model size to how accurately a model handles a task suited to its purpose. The planned 40-point scoring is intended to make it easier to pick an AI that delivers sufficient quality while keeping costs down.

FAQ
What exactly do the AIs have to build?
A realistic, operable 3D model of a human buttocks from waist to thighs, in a single HTML file using the Three.js library, with no external images or 3D models and with skin texture reproduced.
Which AIs are featured on the site?
Results from Anthropic's Claude, OpenAI's GPT, Google's Gemini and others are posted, and up to four results can be compared side by side, including settings used.
How are the results scored?
A system is planned to rate realism, operability, physical motion and stability for a total of 40 points.
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