Hybrid Edge-Cloud Vision-Language System (VLM) for interactive semantic grounding and robotics perception. Powered by PaliGemma 2 and Gemini 3.0.
A desktop implementation of the signal zero system, easy to use, hard to forget.
A phonosemantic grounding framework that uses Sanskrit articulatory phonology to create physically grounded AI embeddings. Includes clustering experiments on 150 Sanskrit verbal roots and a 10-dimensional coordinate system derived from speech production anatomy.
Multilingual white-box + black-box framework probing semantic grounding vs stochastic parroting in LLMs (Hinton hypothesis).
Cross-platform computer-use agent in Python with semantic UI grounding, safe desktop/browser automation, memory, planning, and macOS/Windows adapters.
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