AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A striking pattern emerges: across all methods and modalities, the AI operates strictly as a spatial command executor, with collaborative and model-initiated categories entirely vacant.
Verbal communication emerged as an effective strategy for coordination among participants and the shared and dynamic visual representation supported spatial orientation and made collaborative actions, such as synchronizing movements or following gestures, more apparent.
A novel approach to computationally decompose and reconstruct the painting process itself is introduced, revealing how artworks emerge through systematic region-aware brushstroke sequences that mirror a more natural artistic practice.
This work systematically examines how users construct and communicate spatial intent in immersive platforms through speech and gesture, and formalizes a framework that decomposes spatial references into three core components: Source, Anchor, and Frame while characterizing their compositional strategies and explicitness...
Results indicate that memory, geometric control, and rollout-aware training provide a practical foundation for generating coherent stories and continuously evolving interactive worlds.
BranchVis is presented, a prototype that represents prompts and generated images as nodes in a tree-based visualization, enabling direct navigation, unambiguous revisitation, integrated comparison, and management of complex histories.
This work presents a training-free multi-agent system that edits existing 3D meshes directly in Blender by emulating the iterative workflow of human artists, and views this work as an exploratory step toward visual-centric agentic geometry editing in professional graphics software.
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