The protocol-layer coordinate for alignment at the neural architecture level.
A substrate-layer .ai position for the technical protocols and methods that align neural AI systems with human values, intentions, and safety constraints.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
Neural · Cross-Vertical · 3 compound moats. Architectural surface: Neural, Protocol. Cross-cutting: Alignment.
Layer position: Cross-cutting
Why this is canonical
'Alignment' is the central open problem in AI safety: ensuring that AI systems behave in accordance with human intentions. 'Neural alignment protocol' moves the concept from aspiration to architecture — a defined, implementable set of methods operating at the neural computation level. This string positions itself at the precise intersection of alignment research, protocol design, and neural computation, a combination with growing urgency in frontier AI development.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.