Jun 1, 2026 · Artificial Intelligence

Project Eden Gives World Models Their First Persistent “Save” Feature

The article analyzes why current AI world models are limited to video prediction, explains VAST's Project Eden architecture that decouples state evolution from rendering, and shows how this enables persistent environments, reusable scenes, and native multi‑agent interaction.

Generative AIMulti-AgentVAST

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Project Eden Gives World Models Their First Persistent “Save” Feature

Machine Heart

May 21, 2026 · Artificial Intelligence

Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026

The SIGGRAPH 2026 paper “Generative 3D Gaussians with Learned Density Control” introduces Density‑Sampled Gaussians (DeG), a differentiable framework that lets a model learn where to place Gaussian splats by sampling from a learned spatial density, enabling arbitrary‑budget, non‑uniform 3D representations with higher quality per cost.

3D Gaussian SplattingAdaptive SamplingDifferentiable Rendering

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Learning Adaptive Gaussian Sampling for 3D Generation: Density‑Sampled Gaussians (DeG) at SIGGRAPH 2026