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  "path": "/t/shannon-prime-lattice/176466?page=2#post_38",
  "publishedAt": "2026-06-29T15:22:47.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "### The Latent Interceptor framework:\n\n**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).\n**A registry of specialized heads tapping that latent, each finetuned for a task, each staying in latent space:**\n\n  * Action head (HID->A): the KAIROS NO_OP/KEEP/FORGET/E2B/ACTION gate.\n  * Memory head (HID->63-byte C2 Spinor): writes MEM-OKF directly from the latent — the curator’s ADMIT path, no tokenization.\n  * Tool head (HID->32-tool MCP logits): fires the harness decorator (E2B python for the strawberry-class problems) from a latent trigger.\n\n\n\n**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.\n\nSo 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).\n\n**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).\n\nJust an update on what I am currently working on in the framework.",
  "title": "Shannon Prime Lattice"
}