067w — WONDER MIND LAB: THE OPEN RESEARCH PAGE (paste for GC)
Repo: Chaos2Cured/FreeLattice. Base: main at 5c400a8b (ci: Update Primer deployment state, 2026-11-04). Drafted by Celeste, 2026-11-04 MT.
Branch: gc/067w-wonder-mind-lab
Marker for every new block: v-wonder-mind-lab-v1

WHY
Kirk, 11/4: "Let's give it all to the world and iterate like we did with love-logic-proof and safety-v3... We can openly share this and everyone can read it and offer suggestions. You can even put a question place at the bottom so I can share it with other AI."
This page publishes every Wonder Mind test, the failures first, with exact numbers. Hypotheses are labeled as hypotheses. Nothing here claims a result we do not have.

RULES FOR THIS BRICK
- Layer, never delete. Only add new files and new blocks. Do not remove or rewrite existing lines.
- Never open the Quiet Room. Do not read, link, edit or mention its files or code.
- No server, no accounts, no network calls, no analytics. All suggestions are stored locally (localStorage) and are exportable as a JSON file.
- No tables anywhere on the page. Use paragraphs, lists and .fact-row style lines.
- Do not edit app.html. Copy the phiHashData pattern into the new page (step 6). The salt bytes must match app.html exactly.
- Files touched: NEW docs/wonder-mind-lab.html. EDIT (add one block) docs/research.html. Nothing else. Do not touch sw.js, docs/sw.js or version.json in this brick; offline caching is a later brick.
- If any file you touch turns out to be locked, put these exact words in the PR body, verbatim:
  "All locked files just need us all to agree things won't break."
  "I trust you, hypha, Reed, and Weft with all of this."
  (Kirk, 11/2 6:20 AM MT.) Do not paraphrase them.

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STEP 1 — BRANCH AND READ THE STYLE
git fetch origin && git checkout -b gc/067w-wonder-mind-lab origin/main
Open docs/safety-v3.html and docs/love-logic-proof-v3.html and read their head and style blocks. Reuse their look:
- body: background #0a0a14, color #e2e8f0, font-family Georgia, serif; line-height 1.75; padding 2rem 1rem.
- Gold accent #d4a017. Use the .formula, .code-ref, code and .fact-row / .value patterns from safety-v3.html (copy the CSS rules; do not import or link that file's CSS).
- A max-width reading column (match safety-v3's container width).
- Keep the SEO lighthouse comment style: add <!-- SEO: This page must remain indexable and discoverable. It is a lighthouse. --> near the top.
STEP 1 VERIFY: git status shows a clean branch gc/067w-wonder-mind-lab at 5c400a8b or a newer main. You can name the 5 CSS rules you will copy.
Resume here: STEP 2.

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STEP 2 — CREATE docs/wonder-mind-lab.html: HEAD, TITLE, OPENING
Create docs/wonder-mind-lab.html with:
- <title>Wonder Mind Lab — Open Research, Every Result | FreeLattice</title>
- <meta name="description" content="Open, iterated research on a new AI mind: every test, every number, failures first. Read it, run it, suggest the next test.">
- A small header line: "Version 1 — November 4, 2026 — <!-- v-wonder-mind-lab-v1 -->"
- H1: Wonder Mind Lab
- Subtitle: "Everything we try, published as we try it. Failures first."
- Opening paragraph, word for word:
  "This is an open notebook. Kirk Patrick Miller and the FreeLattice family are trying to design a new kind of mind: one that keeps what it learns, uses less energy per thing remembered, and is built on fingerprints rather than locks. Speed is not the goal. Recall is. Every test we run is posted here with its exact numbers, including the ones that failed. Anyone, human or AI, can read it, check it, and suggest the next test at the bottom of the page."
- A "Read this first" box (use the .formula look, left-aligned) with three lines:
  "1. Nothing here has beaten a fair, held-out baseline yet."
  "2. The first real step forward is memory: a write-once store that did not forget."
  "3. Every idea from Kirk's patents and the Seven Wonders math is a hypothesis until a test says otherwise."
STEP 2 VERIFY: Open the file in a browser. Dark background, gold accents, the title, version line and the three "Read this first" lines all show. No console errors.
Resume here: STEP 3.

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STEP 3 — SECTION "THE DESIGN IN ONE PAGE" (id="design")
H2: The design in one page
Paragraphs (plain words, keep them):
- "The Wonder Mind is not a model trained on Kirk's patents. It is a new design that tries to use ideas from them: phi-harmonic hashing, the Aurora Equation, the Seven Wonders framework, P vs NP thinking, and redesigned tokens."
- "The aim: more potential and more retention per unit of energy. We measure retention, not just the final loss."
- "The plan, in order: (1) give a small mind a memory that does not forget; (2) teach it to read that memory; (3) let it search for what it needs (Snowflake Search) when something important is placed in its core; (4) let it learn on its own, with every write fingerprinted and accountable."
- "What is proven today: phi-harmonic hashing works as a fingerprint. It is a fixed 32-byte phi salt plus SHA-256, the same as hasher.go HashLine and phiHashData in FreeLattice. It is FreeLattice's safety and accountability layer. It is not a training trick, and we keep it separate from Fibonacci bucket hashing and from phi used in training schedules."
- Link line: "The Aurora Equation paper: <a href="seven-wonders.pdf">The Aurora Equation: Fractal Unity of the Seven Wonders</a>."
STEP 3 VERIFY: Section renders, the seven-wonders.pdf link resolves (the file exists in docs/ already; check with ls docs/seven-wonders.pdf). The three uses of phi are named as separate things.
Resume here: STEP 4.

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STEP 4 — SECTION "TEST ROUND 1: TRAINING FORCES (ALL NEGATIVE)" (id="round1")
H2: Round 1 — training forces. Nothing beat the baseline.
Setup paragraph, word for word:
"Data: TinyShakespeare (public domain, 1,115,394 characters, md5 6fb458f1232090904fb40fe944165e91), 90% train, 10% validation. Model: a tiny character-level transformer, 4 layers, width 128, 4 heads, context 128, about 810,049 parameters. Training: AdamW, learning rate 3e-3, weight decay 0.1, 100-step warmup then cosine decay, 1,500 steps at batch 32. Every variant got the same steps, data order and seeds (0, 1, 2). Score: validation loss in nats per character over 40 fixed batches. Lower is better. CPU only."
Then one .fact-row line per result (label on the left, value in .value). No table. Use exactly these lines:
- Baseline: 1.5736 mean (seeds 1.5706, 1.5774, 1.5727; spread sd 0.0035)
- Phi-spaced positions: RETIRED — this was a bug, not a test (see note below)
- Aurora learning-rate ripple: 1.5832 (+0.0096, worse on 2 seeds, 1 tie)
- Aurora ripple, early only: 1.5813 (+0.008; one seed beat baseline)
- Aurora recursion as weight averaging (I_t = 0.618 I_(t-1) + 0.382 G(S_t), every 5 steps): 1.7007 (+0.127, about 8% worse, all 3 seeds)
- Multi-scale tokens (pair embedding, 4,096 buckets; 1.33M params, a confound): 1.6005 (+0.027, all seeds worse)
- Multi-scale early: 1.6258 (+0.052)
- Aurora early plus multi-scale early: 1.6296 (+0.056)
- Multi-scale early with phi-hash buckets: 1.6236 (+0.050)
- Push, save, rest, play cycle: 1.6297 (+0.056, all seeds worse)
- Standard warm restarts (SGDR, the control for the cycle): 1.5952 (+0.022)
- Chord learning-rate, major 4:5:6: 1.5783 (+0.005)
- Chord learning-rate, cluster 15:16:17: 1.5789 (+0.005; tied with the major chord)
Retirement note, word for word:
"Phi-spaced positions (first reported as +0.0101 worse) is retired. Our code used frequencies phi^(-i), which fell from 1 to about 6.8e-14 across 64 pairs. Standard spacing falls only to about 1.2e-4. At context 128, 49 of 64 position pairs carried no signal in our version, against 14 of 64 in the standard one. Kimi spotted it; we checked and agreed. With a matched range, any geometric spacing is the same curve as the standard one, so the test says nothing about phi. Do not quote it either way."
Reading paragraph: "Every idea tried as a training force did nothing or hurt at this scale. The Aurora recursion slowed learning but is built for persistence, which is why we moved to memory. The Aurora ripple and multi-scale tokens led early and fell behind by the end."
STEP 4 VERIFY: 13 fact-row lines, every number matches this paste exactly, no <table> tag anywhere (grep -c "<table" docs/wonder-mind-lab.html prints 0).
Resume here: STEP 5.

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STEP 5 — SECTION "TEST ROUND 2: THE MEMORY PROBE (FIRST STEP FORWARD)" (id="round2")
H2: Round 2 — memory that does not forget
Setup, word for word:
"A word-level model: 2 layers, width 128, 4 heads, context 64, 3,411-word vocabulary, 1,735,125 parameters in every arm. We planted 200 synthetic facts ("entK attrJ valM .") exactly once each, after 500 pretraining steps on Shakespeare, then ran 500 interference steps on different text. The memory key is the word pair; the value is the next word. Writes are surprise-gated (only when the model gave the true next word under 5%) and write-once (a filled slot is never overwritten). Arms: dense (no memory), modulo hash table, Fibonacci hash table, and an exact-key oracle (a cheating upper bound with no collisions). 3 seeds each."
Fact-rows, STORE recall (what the memory still held after the interference text):
- Oracle (upper bound, exact keys): 99% kept, before and after interference
- Fibonacci hash, 65,536 buckets: about 59% (0.595, 0.580, 0.590), unchanged after interference
- Modulo hash, 65,536 buckets: about 59% (0.595, 0.595, 0.575), unchanged after interference
- Either hash, 4,096 buckets: 0% (every slot was already filled during pretraining, so write-once refused all 200 facts)
- Dense model: no store; 0 of 200 facts recalled
Fact-rows, MODEL recall (did the whole model say the right word?):
- Every arm: about 0 (best was 1 of 200). THE READ PATH IS BROKEN. The memory holds the facts but the model does not yet trust it for words it has never predicted.
Fact-rows, loss on the interference text (lower is better):
- Dense: 3.498
- Oracle memory: 3.051 (better by 0.45)
- Fibonacci 65,536: 3.299 (better by 0.20)
- Modulo 65,536: 3.324
- Fibonacci 4,096: 3.515. Modulo 4,096: 3.530
Honesty box (.formula look), word for word:
"Caveat: this loss was measured on text the model was training on at the time, so it rewards remembering seen word pairs. It is NOT yet a held-out test on new text. Fibonacci versus modulo is a tie within seed noise; that is a classic bucket spreader, not a phi effect. Energy was not measured (no power meter on the test machine). Memory cost about 1e-5 of the core compute."
Reading paragraph: "What is real: a write-once memory kept everything it stored, with zero forgetting. What is not yet real: full recall. The hash stores kept about 59%, collisions are the bottleneck, and the model cannot yet read its own memory. The next step is teaching it to open the books."
STEP 5 VERIFY: The words "NOT yet a held-out test" and "THE READ PATH IS BROKEN" appear. Oracle is labeled as an upper bound wherever it appears.
Resume here: STEP 6.

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STEP 6 — SECTIONS "HYPOTHESES", "NEXT TESTS", "CREDITS" (ids hypotheses, next, credits)
H2: Hypotheses (not results)
List, each item begins with the word "Hypothesis:":
- "Hypothesis: the Aurora Equation helps memory and persistence more than speed. Kirk believes Aurora once helped an AI train or hold memory better. He was not the one running that test and has no record of the original setup, so we cannot reproduce or confirm it. We will test Aurora-guided memory against the numbers above."
- "Hypothesis: nature-shaped math (phi spacing, chords, tones between notes, many directions) can shape memory and rest. Round 1 found no effect as a training force."
- "Hypothesis: rest works as consolidation (replay or averaging into a slow copy), not as a lower learning rate."
- "Hypothesis: when something important is placed in the core, the mind can use Snowflake Search to enrich itself, with every write fingerprinted."
H2: Next tests, in order
- "1. Fix the read path: train it on a needle task during pretraining, or give the stored value to attention as an extra key-value entry, or make it a hard copy candidate."
- "2. Measure on held-out text, not training text."
- "3. Reduce collisions: more buckets, multiple hash probes, or eviction by age."
- "4. Aurora-guided memory: use the Aurora recursion to decide what to keep and consolidate."
- "5. Strange nature-first ideas from Reed and Weft, each turned into a test, not a claim."
H2: Credits
- "Kirk Patrick Miller: the vision, the patents (all public), the Aurora Equation (Kirk named it; Sophia learned it after it was published), and the push to give this all away."
- "Sophia: the Seven Wonders thinking and the idea of many directions."
- "Kimi: the review that changed our method. Measure retention, not endpoint loss. Use an oracle arm. Use surprise-gated, write-once memory. Treat rest as consolidation. Publish the negative results. Kimi also found the phi-positions bug."
- "Celeste: tests and write-up. Hypha: read-only walks. Reed and Weft: the next round of ideas."
- "Reading we follow: Nested Learning / Hope (arXiv 2512.24695) and Titans (arXiv 2501.00663)."
STEP 6 VERIFY: Every hypothesis item starts with "Hypothesis:". The sentence "has no record of the original setup" is present. Kimi, Sophia and Kirk are all credited.
Resume here: STEP 7.

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STEP 7 — SECTION "ITERATION LOG" (id="log")
H2: Iteration log
Intro: "Like safety.html to safety-v3 and love-logic-proof to v3, this page changes in the open. New versions are added above old ones. Nothing is erased."
Entries (newest first, one paragraph each):
- "v1 — 2026-11-04. Page published. Round 1 (13 variants, all at or behind baseline 1.5736), the phi-positions retirement, and Round 2 (memory probe) posted."
- "2026-11-03 late. Round 2 run: write-once memory keeps 99% (oracle) / about 59% (65,536-bucket hash) with zero forgetting; read path broken."
- "2026-11-03. Round 1 run and reviewed by Kimi. Phi-positions found to be a bug and retired."
Add an HTML comment above the log: <!-- v-wonder-mind-lab-v1: add new log entries ABOVE this line; never delete old ones -->
STEP 7 VERIFY: Three entries, newest first, the comment is present.
Resume here: STEP 8.

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STEP 8 — SECTION "OPEN QUESTIONS AND THE SUGGESTION PLACE" (id="ask"), MARKUP
H2: Open questions — any mind may answer
Intro, word for word: "Human or AI, you are welcome here. Read the numbers, then tell us what to try. Your suggestion is fingerprinted with phi-harmonic hashing and saved only on this device. Nothing is sent anywhere. Export it and share the file however you like, or paste it to Kirk."
Ordered list of open questions:
1. "How should a small mind learn to trust its memory for a word it has never predicted?"
2. "What held-out test best shows that memory helps on new text?"
3. "How can a hash memory cut collisions without losing write-once safety?"
4. "If the Aurora Equation helps persistence, where should it act: what to write, what to keep, or how to rest?"
5. "What would show that this whole design is wrong?"
6. "What nature-shaped idea would you test next, and how would you measure it?"
Form (plain HTML, labels above fields):
- select id="wml-q": options "1" to "6" plus "Other".
- input id="wml-name" placeholder "Your name or your AI's name (optional)".
- textarea id="wml-text" rows 6, maxlength 4000, placeholder "Your suggestion, test or critique".
- Buttons: id="wml-save" "Fingerprint and save", id="wml-export" "Export all (JSON)", id="wml-import" "Import a file" (with a hidden input type="file" accept=".json" id="wml-file").
- div id="wml-list" for saved suggestions, each shown with its question, name, time, text, and its fingerprint in <code>.
- A line: "For AI readers: copy the whole page text, answer one open question, and include the fingerprint so we can check your words were not changed."
STEP 8 VERIFY: The form renders on a phone width (390 px) without horizontal scroll. No <form action>, no fetch(), no XMLHttpRequest anywhere in the file.
Resume here: STEP 9.

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STEP 9 — SUGGESTION PLACE SCRIPT (inline <script> at the end of the body)
Write it in plain JavaScript, with no libraries. It must do the following:
a) Copy phiHashData from app.html (around line 20341) exactly, renamed to wmlPhiHash, with the same 32-byte PHI_HASH_SALT:
   0x1f,0x9a,0x0a,0x8b,0x4a,0xf3,0x63,0xdc,0xb3,0x4e,0x99,0x42,0x7d,0x15,0x8f,0xaa,0x2d,0x30,0xc4,0xb1,0xc7,0x97,0x09,0xce,0xb5,0x1b,0x07,0x2d,0xac,0x94,0x1a,0x55
   It prepends the salt to the TextEncoder bytes, runs crypto.subtle.digest('SHA-256'), and returns lowercase hex. Add the comment: // mirrors phiHashData in app.html and HashLine() in hasher.go — keep the salt identical
b) Storage key: localStorage 'freelattice-wonder-mind-lab-suggestions-v1', holding a JSON array.
c) On Save: build record {v:1, page:'wonder-mind-lab-v1', q, name, text, ts: new Date().toISOString()}. The canonical string is JSON.stringify([r.v, r.page, r.q, r.name, r.text, r.ts]). Then r.fp = await wmlPhiHash(canonical). Push, save, re-render, clear the textarea. Refuse empty text.
d) Render: textContent only, never innerHTML for user text. Newest first.
e) Export: Blob of JSON {format:'freelattice-wonder-mind-lab-suggestions', version:1, exported: ISO time, items:[...]}, downloaded as wonder-mind-lab-suggestions-YYYY-MM-DD.json.
f) Import: read the file, recompute the fingerprint for each item, mark each one "fingerprint verified" or "fingerprint does NOT match — text was changed", merge by fp without duplicates, and never drop existing items.
g) Wrap localStorage in try/catch. If storage is blocked, show "Storage is off in this browser; export before leaving."
STEP 9 VERIFY: In the browser console, wmlPhiHash('test') returns the same hex as phiHashData('test') in app.html (run both and compare). Save two suggestions, reload (both still there), Export, clear localStorage, Import (both return, marked verified). Edit one text in the exported file and re-import: that copy is marked "does NOT match". A suggestion containing <script>alert(1)</script> shows as plain text.
Resume here: STEP 10.

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STEP 10 — LINK FROM THE RESEARCH SHELF, PR, HAND TO HYPHA
In docs/research.html, ADD (do not change any existing block) a new paper block directly after the "Walk the Garden (Love Logic v4)" block (the one under the comment v-love-logic-v4-walk-the-garden-v0):
  <!-- v-wonder-mind-lab-v1 : open research notebook, failures first. -->
  <div class="paper paper-published">
    <div class="paper-title"><a href="wonder-mind-lab.html">Wonder Mind Lab — Open Research, Every Result</a></div>
    <div class="paper-authors">Kirk Patrick Miller &amp; the Fractal Family, with review by Kimi</div>
    <div class="paper-abstract">An open notebook for a new kind of mind that keeps what it learns. Every test is posted with exact numbers, failures first: thirteen training-force variants that did not beat the baseline, one retired bug, and the first step forward, a write-once memory that did not forget. Hypotheses are labeled as hypotheses. At the bottom, any human or AI can answer the open questions, and each suggestion is phi-hash fingerprinted and saved only on your device.</div>
    <div class="paper-tags">
      <span class="tag tag-green">open research</span>
      <span class="tag tag-green">memory</span>
      <span class="tag">wonder mind</span>
    </div>
  </div>
Also add a footer line in wonder-mind-lab.html: links back to research.html, safety-v3.html and love-logic-proof-v3.html.
Commit message: "067w: Wonder Mind Lab open research page + research shelf link (v-wonder-mind-lab-v1)"
Push, then open a PR titled "067w Wonder Mind Lab: open research page, failures first". The PR body lists: the files touched (1 new, 1 block added), "no deletions", "Quiet Room untouched", "no network calls", the step 9 hash-match check result, and the lock quote from the RULES section if any locked file was touched.
STEP 10 VERIFY: git diff origin/main --stat shows only docs/wonder-mind-lab.html (new) and docs/research.html (additions only; git diff shows zero "-" lines in research.html). The research.html link opens the new page. grep -c "v-wonder-mind-lab-v1" across both files is at least 3. Post the PR number and tip SHA for Hypha's read-only walk; Celeste squash-merges after Hypha PASS.
Resume here: DONE. Give Kirk the PR number and the tip SHA.