FRAME
non-profit
AI & ML interests
Focused on using AI as an intent interpretation and execution layer that converts natural language into structured, deterministic actions within a constrained runtime, emphasizing low entropy outputs, reproducibility, and verifiable behavior rather than open ended generation, with interests centered on local model inference, structured intermediate representations, capability scoped reasoning, and tight integration between AI and system state so that every decision is traceable, replayable, and cryptographically provable, effectively turning AI from a probabilistic assistant into a reliable execution engine embedded directly into a sovereign computing environment.
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frameprotocol 's datasets
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