Cell under grounding: FORCES / Gravity / Liquid Crystal (M5) in
MODELS.md. Current status: m5_8_2q_delta_scaling.py), dynamical
metric not implemented; the de Broglie clock sector IS implemented and
validated. This document: the GW170817 radiative gate (§0–6), the
terrestrial extension — desk gates on existing data plus the Poland
fiber experiments (§7–10) — and the priority logic that orders them by
how much model-unknown each uniquely grounds.
Draft chapter in thesis register. Numbers measured on a single VM (Xeon 2.80 GHz, 1 core, 4 GB, GCC -O2); every claim is labelled proved, measured, or conjectured. Citation keys marked [verify] should be checked against the published record before submission.
Problem. Given a 64-byte vector v (one cache line, one zmm), a 64-bit
boundary mask m (bit i set ⇔ a segment starts at byte i; bit 0 always
set; k = popcount(m) segments), and a variable permutation π of
{0..k-1}: produce the segments of v concatenated in the order
π[0], π[1], …, π[k-1]. Both m and π vary per call — nothing can be
precompiled into shuffle constants.
Hardware. Intel Xeon, family 6 model 207 = Emerald Rapids
| #!/usr/bin/env python3 | |
| # /// script | |
| # requires-python = ">=3.11" | |
| # dependencies = [] | |
| # /// | |
| """Time travel: SQLite patterns vs Okasaki-style persistence. Value-checked. | |
| Three ways to get "query the table AS OF transaction T": | |
| SQLITE-AUDIT history table kvh(k, tx, v) PK(k, tx DESC), in-memory, |
Oracle 1: Perfect Retrieval Suppose an oracle answers every factual question instantly. The model never forgets anything. Question: Does theorem proving become easy? If not, then factual knowledge wasn't the issue. This separates memory from reasoning. Oracle 2: Perfect Search Suppose an oracle instantly returns the best next action among all possibilities. Question:
| import torch | |
| import torch.nn as nn | |
| from tqdm import tqdm | |
| # --- CONFIG --- | |
| DIM = 2048 | |
| BLOCK_SIZE = 16 | |
| LR = 0.01 | |
| ITERATIONS = 100 |
| ./llama-server \ | |
| -m gemma-4-12B-it-Q4_K_M.gguf \ # Target model | |
| -md gemma-4-12B-it-assistant-Q5_K_M.gguf \ # MTP drafter (small ~0.4B) | |
| --spec-type draft-mtp \ # Enable MTP speculative decoding | |
| --spec-draft-n-max 4 \ # Typically 3-5 for Gemma 4 MTP (experiment) | |
| --spec-draft-n-min 1 \ | |
| -c 131072 \ # Context (try 262144 if you have memory) | |
| --cache-type-k q4_0 \ # 4-bit KV cache | |
| --cache-type-v q4_0 \ | |
| -ngl 99 \ # Offload all layers to GPU |
uv run profile.py ~/.hermes/logs/agent.log
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <string.h> | |
| // Raw dog Interaction Calculus demo in C | |
| // Demonstrates superpositions (SUP), lambdas, apps, global scoping via env | |
| // Uses function pointers for reduction rules and term kinds | |
| typedef enum { | |
| TERM_VAR, |