Shannon Prime Lattice

The Latent Interceptor framework:

Draft body = the shared latent processor. The finetuned 4-layer draft, vocab head ripped off. It runs once per intercept, producing a 1024-d latent. Because there’s no 262k projection, it’s ~ms and CPU/Hexagon-pinnable (your <2 ms point holds — the body is tiny; the vocab matrix was the whole cost). A registry of specialized heads tapping that latent, each finetuned for a task, each staying in latent space:

• Action head (HID->A): the KAIROS NO_OP/KEEP/FORGET/E2B/ACTION gate.
• Memory head (HID->63-byte C2 Spinor): writes MEM-OKF directly from the latent — the curator’s ADMIT path, no tokenization.
• Tool head (HID->32-tool MCP logits): fires the harness decorator (E2B python for the strawberry-class problems) from a latent trigger.

Latent injection (return path): tool result → cyclotomic-ring residue → gemma4_kv_inject into the target KV ring. The model feels the result, never reads it.

So the heads are the routers; the body is the shared manifold they all read. One body pass, many latent destinations — that’s the framework, and it’s extensible to anything (the possibilities are, as they say, endless).

Pivot → Latent Interceptor → the draft repurposed as a latent-routing framework. Scaffold done: contract (shared body + action/memory/tool head registry), 5-action space grounded in the curator’s real ops, SP_LI_CAPTURE, the probe trainer, and a baseline that classifies the latent at 1.000 (mechanism proven — routing without tokenization is real).

Just an update on what I am currently working on in the framework.