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Google's Argon model improves spatial reasoning, math precision, and visual coding

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Google says its Argon model brings improvements in spatial reasoning, mathematical precision, and visual coding. In a demonstration, Argon used multi-agent loops in Antigravity to autonomously build a pagoda complex in Blender, including its architecture, foliage, and lighting.

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Argon brings major improvements in spatial reasoning, mathematical precision, and visual coding.

Using multi-agent loops in @Antigravity, it autonomously built this entire pagoda complex, sculpting the architecture, foliage, and lighting from scratch in Blender.

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