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Enactra AI
@EnactraAI
Agentic world simulation for physical RSI
๊ฐ€์ž… August 2026
575 ํŒ”๋กœ์ž‰ ์ค‘    377 ํŒฌ
Coding agents like GPTโ€‘6 Astra and DS V4.1 Flash are entering the 3D world. We need new benchmarks for their spatial reasoning. ๐Ÿ—๏ธ Introducing _BuildingBench_: can coding agents turn real-world images into coherent 3D buildings, and at what cost? BuildingBench is a step toward coding agents creating reusable worlds that people and other agents can inspect, edit, and build on for design, games, and physical simulation. And the qualityโ€“cost frontier is moving fast: ๐Ÿ‘€ ๐Ÿ”ฅ GPTโ€‘6 Astra achieves the highest score in our comparison at ~80% lower cost than Fable 5.1. ๐Ÿ”ฅ DeepSeek V4.1 Flash delivers strong quality at a median model cost of just $2.31 per building. Watch the frontier shift. More details, interactive leaderboard, and GitHub in the thread ๐Ÿ‘‡
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