The low-entropy coordination layer for high-frequency AGI.
AI is bottlenecked by the ambiguity and inefficiency of Natural Language. To scale intelligence, we need a protocol that runs at the clock speed of the processor, not the speed of the mouth
Noe (⊙) is the machine-native ABI. It unloads safety and context to a deterministic kernel, freeing AGI to run at the speed of silicon: Auditable, Aligned, and Unconstrained.
The low-entropy coordination layer for high-frequency AGI.
AI is bottlenecked by the ambiguity and inefficiency of Natural Language. To scale intelligence, we need a protocol that runs at the clock speed of the processor, not the speed of the mouth
Noe (⊙) is the machine-native ABI. It unloads safety and context to a deterministic kernel, freeing AGI to run at the speed of silicon: Auditable, Aligned, and Unconstrained.
The low-entropy coordination layer for high-frequency AGI.
AI is bottlenecked by the ambiguity and inefficiency of Natural Language. To scale intelligence, we need a protocol that runs at the clock speed of the processor, not the speed of the mouth
Noe (⊙) is the machine-native ABI. It unloads safety and context to a deterministic kernel, freeing AGI to run at the speed of silicon: Auditable, Aligned, and Unconstrained.