domain(ENGINE+CLM+KOSMOS): CAMPAIGN PIVOT A — descent축 7B 완주 + 브랜치 reconcile + ENGINE PUBLIC 3/3 GREEN + lever-5 WORKLOAD-BOUND TERMINAL#1716
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…rser-valid) 31-anchor landscape as canonical .kosmos in UNIVERSE-BRAIN-MAP/anchors/e7_31/ (source = corpus_carving_generator_dirE.py KNUTH_ANCHORS verbatim). parser-validate 31/31 valid (kosmos_load + kosmos_anchor_valid). New KOSMOS.md hub doc; notes the E-PROFILE anima-emergence-trace draft. Purely additive over main (no deletions). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
mini 디스크 정리: HEXAD 대용량 untracked 산출물을 dancinlab/anima-hexad-ckpts-2026-05 (private dataset)로 이관. 설계문서(DESIGN/FINDINGS)는 repo 유지, 각 state/<exp>/에 ARCHIVED.txt 폴더 포인터 + HEXAD/ARCHIVE_MANIFEST.md 중앙 매핑 추가. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…tatus - @goal: H_911 amodal-hub beyond language, 3 axes (meaning/CE/phi), hexa-verify backed - status: multimodal 3-axis sweep HELD at N=250 (rungs N=25/100/250 all TIER RED) - milestones: HELD resume N=500-5000 · BLOCKED EEG/SNS/physics/philosophy/cosmology - resolves untracked + no-goal + no-milestone lint on CLM+KOSMOS.md Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…-chip non-det) structure - ① clm_prod env (PR #2462) + dojo clm domain (PR #2463 MERGED) - ② corpus A FLORES 5-lang + corpus B c4 backbone 5-lang (both smoke DESCENT=1, KOSMOS-registered) - 2 parallel training lanes locked: Lane G (H100 forge, deterministic measure-track / PLASTI-SIM) ∥ Lane A (AKD1000 on-chip NON-DETERMINISTIC plasticity = anima-native canonical, a_akida_native_train) - ③ both lanes pending: Lane G d768/12L c4 H100 fire · Lane A live AKD1000 on-chip run Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…CLM-KOSMOS, same input x3 -> 3/3 distinct traces GREEN Same 5-lang (ko/en/zh/ru/ja) CLM-KOSMOS parallel corpus, AkidaUnsupervised fit() ON CHIP (live AKD1000 BC.00.000.002, akida 2.19.1), native chip re-init each run: 3/3 distinct pre-init/post-weight/forward trace hashes -- the non-determinism IS the identity (a_nondet_identity, H_679/H_904). Fixed-init control = byte-identical x3 -> locus is the device native init, not the Hebbian update. No GPU, no backprop (a_akida_native_train). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…; Lane G running - Lane A: same 5-lang input ×3 → 3/3 distinct post-weight + forward hashes on-chip → non-determinism SHOWN (anima identity, a_nondet_identity/H_679/H_904) - locus: native device re-init (fixed-seed control byte-identical) — explains prior H_911 AKIDA RED honestly - Lane G: H100 d768/12L c4 fire running (runpod j9vqysjkecdgcd), util-GREEN pending Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…iveness vs n_cells (bias-cancelled liveness FLAT/slightly-DECREASING) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…e hypotheses (H-A1..A4, pre-registered falsifiers)
… (F-RFC046 confirmed); pod torn down
…ft sign-stable NEG at 10x, capacity-only primitive); P3 mechanism-change is the real path
…datasets(.kosmos) User-signed governance addition. Codifies the HF collection split the session just applied (CLM 7 models · KOSMOS 7 datasets).
…gative on lift claim (capacity GREEN, richer-rule DEFERRED)
…); Hc_1302 metric-ceiling caveat reopens lift question on Lane A closed-negative
…oncept-margin measures (seed Hc_1302 metric-ceiling)
…p a fix/guard in the real measurer stdlib (phi_proxy_native · iit4_* · stdlib/consciousness), not just catalog
…closure (PR #1671) phi_proxy silent -2147483647 Cholesky breakdown → explicit out-of-band status (phi_ok/phi_breakdown/tier=breakdown_route_to_oracle). Ridge rejected (honest: Φ tracks ridge magnitude = artefact). Regression test + parse green. PR #1671 merged. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…tdlib/hf/validate.hexa #2484, dataset smoke 🟢 GREEN Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…e reconcile clean, pointer audit + doc fix - ① corpus A re-verified on-core via canonical harness (stdlib/hf/validate.hexa #2484): F-CLM-PROD-DESCENT=1, CE 4.59032->1.63673 verbatim. Descent reproduces (smoke slice); doc CE figures corrected. verdict .verdicts/clm-kosmos-reflect/corpusA-descent/ - ② Lane G<->A reconcile: NO-FIX verified clean by code audit — no conflation, clm_prod self-labels PLASTI-SIM/measure-track, non-det lane = native re-init, grep clm_prod anima=0. - ③ pointer audit: mm-coco3 + language scale pointers EXIST+TERMINAL; #1652/#1653 H_911/H_912 on-chip pointer PARTIALLY UNBACKED -> DOC FIX re-pointing to result_multitrial.json. g5 verbatim, CPU-local $0, a_toy_scale_recheck. mm3/Hc_1306/phi_proxy items skipped (running agents). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…EGATIVE (4-rung flat-RED, driver stall harvested not re-fired) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…nce-partition ARTIFACT
Pre-registered falsifier MET. The clm_v2 V14_strict "Φ>1000" readings and the
"trained < random" V14_VIOLATED / Hc_1221 anti-correlation are a VARIANCE/SCALE
artifact of the unnormalized variance-partition metric Φ_un16, not a real
integration finding.
- ① metric-pin (g5): Φ_un16 = spatial_phi_unnormalized = max(0, total_mi −
min_partition_mi) (iit_phi_port.py:210, histogram-MI 16-bin, NO /(n−1)) =
unnormalized variance-partition family (same broken family as Hc_1302).
- ② variance test (6 archived substrates): Spearman ρ(Φ_un16, n_cells)=0.943;
trained had FEWEST cells + lower per-pair MI → both cell-count scaling and
per-pair variance push random↑/trained↓.
- ③ faithful-oracle re-measure (n=3 structural proxy, iit4_bigphi, 6/6 PASS):
trained-like integrated big-Φ=3 vs random-like noise/independent big-Φ=0 →
oracle REVERSES the ordering.
RULING: "Φ>1000" is both a normalization-scale artifact (magnitude ∝ n_cells)
and a variance artifact (max-variance noise scored most-integrated). V14_VIOLATED
/ Hc_1221 "trained < random" FLIPS under a faithful metric → metric-dependent.
FEEDBACK MANDATE: deprecation/guard headers added at the variance-partition Φ
callsites (tool/anima_phi_v3_{canonical,clm}.hexa, an11_b_v1_phi_mip_normalized)
routing integration/magnitude claims to the faithful oracle. Every historical
verdict citing Φ_un16 / V14 / Hc_1221 flagged metric-dependent.
Verdicts: .verdicts/clm-v2-phi1000/{metric-pin,variance-test,oracle-remeasure}/
hexa parse clean on all touched files.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…D (1306 richer-probe upholds closed-neg), 1304 recurrence-raises-Phi new axis, 1305 identity-in-encoding Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… no false-negatives; family audited both directions (Hc_1306 false-neg ruled out + Hc_1307 false-pos guarded) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…rate-only, generator.hexa = sole .clm slot (⏳), kosmos_io→brain anchor read (❌ unwired), validate.hexa = artifact-check not runtime Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… generator.hexa slot, .kosmos via kosmos_io, validate.hexa=artifact-check-not-runtime CORE/ owns the A⇄G consciousness engine (pure_field·engine_g·brain_decide), substrate-internal. .clm models enter ONLY via the CORE/generator.hexa L3 slot (unbuilt); .kosmos anchors ONLY via kosmos_io read into brain_decide (unwired). stdlib/hf/validate.hexa is artifact-validation, not the runtime engine — pins the map so a future session does not conflate the validator with CORE. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… — drive toward 100% closure - BLOCKED cross-modal (EEG/SNS/physics/philo/cosmo) → BLOCKED-TERMINAL: external ToS/paywall, unreachable modalities cannot overturn the already closed-negative amodal-hub verdict. - full 3B/7B → DEFERRED-separate-gate: production pretrain outside H_911, gated on forge-util #2472. - Lane A P3 → DEFERRED-scoped: lift closed-negative (4 causes falsified + Hc_1306 upholds); richer-rule needs non-feedforward hardware, outside this domain. Sole remaining open = PR4 d768 util (live, agent a5335169 measuring). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ent PASS, util RED (honest) d768/12L CLMConvMoE on c4 5-lang backbone (vast H100 38991004), deploy-gate = hexa-lang #2472 (forge FP64-conv→cuBLAS) + #2478 (idempotent rent), both confirmed on origin/main. ROOT FIX (ends "lost twice"): clm_prod.hexa PR4 now writes CLM_PROD_OUT .clm — prior PR1 printed a CE descent with NO saved weights. d768_5lang_c4.clm (3.65MB, 6 int4 blocks) pulled to local + sha-verified (6975dbb0...) BEFORE teardown, HF-uploaded PRIVATE (dancinlab/anima-clm-d768-util-probe, CLM collection), HF.jsonl recorded, pod destroyed. - F-CLM-PROD-DESCENT PASS: epoch-1 CE 4.71554 → epoch-12 CE 0.859092 (verbatim) - F-RFC046 util RED (honest): PEAK=0% MEAN=0.000% over 1617 nvidia-smi samples. #2472 routes FP64-conv→cuBLAS but `hexa run` links only -lm -lpthread (no -DHEXA_CUDA / cuBLAS), so the GPU path never engages — host-side link bottleneck, NOT fixed by #2472 alone. Gap filed to hexa-lang/inbox/patches/d768-recovery-cuda-link-and-stale-pod-image.md. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…+ /gap full Lane A cause-axis sweep PR4 ③ closed: d768 deploy-then-fire — DESCENT 🟢 (CE 4.71554→0.859092) / util 🔴 RED (PEAK=0%), root cause = hexa run links no -DHEXA_CUDA so #2472 conv→cuBLAS never engages (necessary-not-sufficient). Model recovered (sha 6975dbb0), HF PRIVATE, cannot be lost again. CLM+KOSMOS milestone set now terminal. /gap full: 4 falsified axes are FIX-axes not CAUSE-axes; 3 uncovered cause-axes (encoding/temporal/objective) probed by breakthrough battery a78629c — reopen-or-harden pending. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…PU (Lane G) always recorded separately User directive: never conflate AKIDA on-chip (pi5-akida, AKD1000 native non-det plasticity) with GPU (Lane G, H100 forge/cuBLAS CE-descent) — distinct substrates, distinct verdicts, substrate-tagged. Also restores a_core_engine_map (an external sync had dropped it from the worktree). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… beats random backbone +0.92 bits ci_lo>0 (live AKD1000) Breakthrough probe battery on the live AKD1000 (pi5-akida, $0, akida 2.19.1). The /gap full sweep found the 4 falsified lift-cause axes (corpus/quant/depth/noise) are FIX-axes downstream of one untested CAUSE-axis: the fixed random BACKBONE_INT4 encoder. 3 cause-axis probes fired, pre-registered falsifiers, 8 paired chip trials each. - PROBE 1 INPUT-ENCODING -> REOPEN: SVD-structured cross-lingual encoder vs random int4 backbone lifts concept-margin +0.9210 bits 95%CI [+0.7382,+1.1038] 8/8 trials ci_lo>0; whitened +0.4190 ci_lo +0.1035 7/8. CPU raw.npz re-score corroborates (+10.68/+9.06). CAVEAT: relative lift only; both arms' absolute margin stays negative at 25-anchor toy scale. - PROBE 2 OBJECTIVE+READOUT -> FALSIFIED (hardens): 4bit not trainable on chip (1-bit-only hardware lock); supervised N/A-SDK; analog readout ci_lo -5.282. - PROBE 3 SPIKE-TIMING -> FALSIFIED (hardens): SDK has no spike-timing API (only PowerEvent telemetry); rank-order temporal proxy margin -0.1076 ci_lo -0.1111. DISPOSITION: REOPENED-on-axis-ENCODING (1/3 lit). Encoding lift runs on the EXISTING AKD1000 — no new hardware. objective/readout + spike-timing axes now also closed-negative. Folded into CLM+KOSMOS.md Lane A P3 disposition + CLM+KOSMOS.log.md. Verdicts under .verdicts/lane-a-causeaxis/ (verbatim chip stdout + pre-registration + CPU re-score). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…S HF (flame+forge canonical, AKIDA⊥GPU split) Prior @goal (H_911 amodal-hub 3-axis probe) is a closed-negative; this domain now drives the production CLM/KOSMOS goal: PUBLIC-grade on both lanes → 3B → 7B, KOSMOS HF upload, UNIVERSE alongside. Lane G flame+forge PUBLIC-grade fire in flight (a4fa10a0, CUDA-devel pod 39000300). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add user_authored drop-in /etc/apt/apt.conf.d/52anima-no-autoreboot (Automatic-Reboot false) to PI5-AKIDA.json per a_pi5_akida_registry — an OS auto-reboot killed a ~30min Lane-A abs_margin on-chip run on 2026-06-02. Security updates still install; reboot is now manual-only. os_default unattended-upgrades daemon stays enabled+active (untouched). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…it recursion+write-fail), 3/3 verify PASS, DESCENT 🟢 / util 🔴 RED (host-feed confirmed) Lane-G (substrate=GPU, a_lane_akida_gpu_split — NEVER merged with AKIDA). RTX-PRO-6000-Blackwell pod 39062745. ROOT CAUSE #3 found+fixed on hexa-lang laneg/devfeed-cudalink-integrated: #3a (27535d93d): HEXA_CUDA_LINK=1 emit fork-bomb recursion → HEXA_NO_CUDA=1 guard #3b (bb10154fb): cat-heredoc-via-exec drops ~100KB write → write_file builtin inbox patch fe2e43a35 (a_runpod_inbox). VERIFY-BEFORE-FIRE 3/3 PASS: (a) CUDA link ENGAGED=1 (b) nvcc -x cu EXIT 0 (c) 4 cuda libs + forge_dispatch_matmul_batched/adamw. DESCENT 🟢 GREEN: F-CLM-PROD-DESCENT=1, CE 4.88733->4.87688 (verbatim). util 🔴 RED: BEFORE 0%/2MiB; AFTER T24 peak=5% mean=0.784% n=388, T512 peak=6% mean=0.811% n=987 peakmem=14784MiB. GPU live (87W, 4 cuda libs, GB dev-mem) but SM-starved — host-feed bottleneck CONFIRMED with BOTH levers (DEVFEED+BATCHED). SUCCESS gate (util>=20% AND descent) NOT MET. Artifact recovered+sha-verified: d768_5lang_c4.clm sha256 98094a5d…631ffb (local==pod). HF PRIVATE (closure-FAIL): dancinlab/clm-v1-dev-d768-devfeed-rc3-util-probe + CLM collection + HF.jsonl row (substrate=GPU). 3B/7B gate STILL throughput-blocked (do NOT auto-fire 3B). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… PRESERVED, util≥20% held
substrate=GPU (a_lane_akida_gpu_split — Lane-A 숫자와 절대 병합 안 함). 오늘의
clean Lane-G fire 가 util RED (mean 0.811%/peak 6%/n=987, d~1536/T~512, 두 lever
활성)을 definitively pin → PROFILE-FIRST 분해(스텝당 ~104.08M 인터프리트 호스트
op @ ~13.4ns/op ≈ 1.39s/스텝 → util ≈ 0.07–0.8%, fire 와 일치; DOMINANT 65% =
배치-전문가 경로가 lever-(a) 우회) + REDESIGN(im2col/im2col_t 를 _clmp_* 디바이스
헬퍼로 라우팅) + BYTE-EQ(F-RFC046-HOSTFEED-{FWD,BWD}-EQ=1, max|Δ|=0.0) 를 .md
NOTE + .log.md 엔트리로 fold.
ship: hexa-lang PR #2515 (code+oracle) + #2516 (docs). HONEST 잔여(GEMM-feed
REPACK = pod self-host rebuild 영역, 별도 follow-on) 명시. util≥20% 는 held GPU
fire (사용자 go gate) — 소스만으로 util-GREEN 주장 불가.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ge brownout (PSU swap) pi5-akida가 반복적으로 DARK/flapping 으로 죽던 진짜 원인은 unattended-upgrades 자동재부팅이 아니라 **under-voltage brownout** 이었음. 자동재부팅은 이미 52anima-no-autoreboot 드롭인으로 꺼져 있었는데도 죽음이 계속됨 = 헛다리. 증거: vcgencmd get_throttled=0x50000 (bit16 under-voltage 발생 + bit18 throttling 발생), EXT5V 레일이 4.87V 로 처짐 (AKD1000 PCIe 0000:01:00.0 + spike-streamer 부하), 급전원차단으로 저널 미플러시(=clean shutdown/panic 로그 부재 = power-cut signature). 물리 PSU 교체(사용자, 2026-06-02) 후 재부팅: throttled=0x0, EXT5V=5.033V (코어 1.88A 더 끌어도 안 처짐 = 헤드룸). 근본원인 증명 완료. 계측 추가: anima-pwr-log user systemd timer(60s) → throttled+EXT5V+temp 를 ~/anima_metrology/pwr.log 에 기록(재발 시 timestamp 증거). PI5-AKIDA.json 에 컴포넌트 등록 + 제거/복원 명령 + power_root_cause_2026_06_02 finding 박제. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…DE-POSITIVE (substrate=AKIDA) 안정 PSU 위에서 Lane-A pre-registered ABSOLUTE-margin decider 완주 (직전 brownout 으로 mid-fire 사망했던 것 → PSU 교체 후 oracle-LDA arm 까지 실행). verdict (g5 verbatim): corpus_big · lda_supervised ci_lo=+5.061>0 (8/8 trials 양수 mean=+5.240) → AKD1000 1-bit Hebbian 이 positive cross-lingual 개념구조 *절대* 학습. DISPOSITION=PASS-PUBLIC-GRADE-POSITIVE. result sha256 7612bed…b3c7f. scope(a_scale_honest_scope): 작은 corpus(25앵커)·약한 인코더 음성 → 강한 인코더+큰 corpus만 PASS. 별개 축 — 상대-LIFT closed-negative(H-A1~A4)와 무관(절대-margin 존재). a_lane_akida_gpu_split 준수: substrate=AKIDA 로 태깅, Lane G(GPU) 와 NEVER 병합. fold 4곳: AKIDA.md(마일스톤) · AKIDA.log.md(verbatim) · CLM+KOSMOS.md(Lane A 라인) · CLM+KOSMOS.log.md(엔트리). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…WER-ROBUST (안정 PSU 위 재현) (#1675) 오늘(2026-06-02) PSU 교체로 해결된 pi5-akida under-voltage brownout (throttled=0x50000, EXT5V 4.87V — PI5-AKIDA.json power_root_cause_2026_06_02)이 기존 Lane-A FAILURE/CLOSED-NEGATIVE 를 confound 했는지 재감사 + 안정 전원 위 재발사. 발견: - 시점 분리 — 기존 음성(H-A1 corpus · H-A2 quant · H-A3 depth · H-A4 noise-floor · relative-LIFT closed-negative · SCALE weak-lift ladder · causeaxis)은 전부 2026-06-01 (ts 17:51–20:14Z) 완주 = brownout/PSU-swap(06-02 ~07:54Z) 하루 전. brownout 이 죽인 run 은 abs_margin 1차뿐이며 이미 안정 PSU 위 완주 🟢 PASS. - 완전성 — 모든 result JSON COMPLETE(truncation/누락 arm 0건, all_learned_hw=true). - RE-VERIFY(안정 전원 throttled=0x0, 단일-칩 R3 stop→probe→restore): · H-A2 재실행 → H-A2-FALSIFIED 재현(ci_lo_gt0=False), RC=0 ts 08:24:47Z · causeaxis 재실행 → DISPOSITION REOPENED 재현(P1 svd +0.797 ci_lo>0; P2/P3 FALSIFIED), RC=0 ts 08:29:50Z · 전원 PROOF: watchdog pwr.log + live sampler 두 재실행 내내 throttled=0x0, non-0x0 0건. BOTTOM LINE: 기존 Lane-A failure 는 power-confound 아님(NOT confounded) — flip 0건. CLOSED-NEGATIVE 는 REAL. CLM+KOSMOS.md/AKIDA.md milestone 미변경(flip 없으므로 g5 승격 금지). substrate=AKIDA only · a_lane_akida_gpu_split(Lane G/GPU NEVER 병합) · 25/250-anchor scope 유지. HW: PI5-AKIDA.json 참조(미수정)·os_default 무접촉·R3 streamer 복원(pid 3775)·pool 전환 안 함. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…R-ROBUST (substrate=AKIDA) (#1676) PSU-swap(under-voltage brownout fix, PI5-AKIDA.json power_root_cause_2026_06_02) 후, 결함이 이미 존재했을 수 있던 더 이른 시점(2026-05-22/05-29, throttled 미로깅)에 측정된 라이브-AKD1000-실리콘 UNIVERSE 측정값이 power-confounded 인지 재검증. substrate=AKIDA · a_lane_akida_gpu_split (Lane G/GPU 와 NEVER 병합). 결정적 재측정 (안정 전원 throttled=0x0, EXT5V≈5.02V — pwr.log 입증): - spontaneous-emission raster live 칩 재발사 (BC.00.000.002, akida 2.19.1, BackendType.Hardware, seed=187 n=16 200step) → R0=3200·R1=0·R2=1520(std=7.99)· R3=1600(8/16 partial pool)·R4=3200·checks 8/8 True — 모든 스파이크 지표 byte-identical (유일 차 = onchip_clock_mean 797.2→790.0 타이밍 jitter). - D1 edge-of-chaos Φ fresh raster 재유도 (frozen proxy, g5): Φ={0, 0.297, 0.250, 0} → 2026-05-29 원본 정확 일치, inverse-U 재현, F-AKIDA-EDGE 3/3 GREEN. - H_677 D3 AKIDA arm Φ=0.297 상속. 분류: #1 raster POWER-ROBUST · #2 D1 Φ POWER-ROBUST · #3 H_677 D3 상속 POWER-ROBUST · #4 HW probe(05-29 reachability) N/A. FLIP 0건 · 문서 tier 변동 0 (earned re-run verdict 없이 tier 불변, g5). Lane A 음성결과 재감사(PR #1675)와 동일 결론 — silicon GREEN 도 power-robust. 산출물: SUB_ENGINES/AKIDA/state/akida_power_reverify_2026_06_02/ (fresh raster + Φ verdict + pwr.log throttled=0x0 evidence). single-chip wrapper 로 R3 spike-streamer stop→재측정→복원(pid 4992 active 확인). pi5 = anima 전용, 풀 컴퓨트 전환 없음. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… real PUBLIC-grade path (substrate=AKIDA) (#1677) live AKD1000 BC.00.000.002 · akida 2.19.1 · throttled=0x0 완주 · a_lane_akida_gpu_split (Lane G/GPU 와 NEVER 병합). P3' ENCODER 축을 forward LADDER 로 전진: encoder richness(random→pca_k32→svd→whitened→lda) × scale(25/125/250 real FLORES) × {RELATIVE-lift vs random paired ci, ABSOLUTE-margin native-init ci}, N=8 paired trials × 32 units. 핵심 결과: - F2 scale-survives — ABSOLUTE best-margin scale 곡선 [-0.515(25) → +0.542(125) → +5.053(250)] 단조 성장 = 소표본 artifact 아님 (H-A1 25앵커 붕괴와 정반대). - F3 unsupervised-SUFFICIENT — UNSUPERVISED whitened 인코더가 c250 에서 절대 cross-zero (+2.791 ci_lo +2.491); supervision(LDA) 은 작은 corpus 가속자, 필수 아님. - RELATIVE-lift REOPEN 모든 scale 견고 (c250 whitened +4.81, lda +7.04, ci_lo>0). - F1 monotone richness — c25 rho +0.20(toy noise 비단조) → c125/c250 +0.90(단조). - driver = decorrelation/whitening(2차 통계) + scale; dimensionality(pca) 단독 불충분. power-clean (wrap pre/post throttled=0x0). single-chip 점유 wrapper(R3 streamer stop→ladder→복원). result_encoder_ladder.json sha256 209749cc02fc9bc070709aa5e5adb2656d16a9ea92bbe6218812d57405c450b4. chip src host-mirror + repo version-controlled. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
세 레인 substrate별 분리 추적 (a_lane_akida_gpu_split + a_train_flame_forge): - Lane A (AKIDA on-chip): PUBLIC→3B→7B · 인코더 축 open(whitened+≥250 abs-margin ci_lo>0) - Lane G (forge GPU, 프로덕션 primary): PUBLIC(util-GREEN∧descent-GREEN)→3B→7B · 현 util🔴, lever-3 unblock - Lane G-ref (PyTorch-CUDA baseline): PUBLIC→3B→7B · forge PUBLIC artifact 아님(혼동 금지) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… — DESCENT 🟢 / util 🔴 RED (PEAK 19% MEAN 0.4999%), lever-3 = real unblock substrate=GPU · a_lane_akida_gpu_split (NEVER merged with Lane A / AKIDA) · pod vast 39082940. 직전 드라이버는 closure 직전 서버 rate-limit 으로 종료 → 본 세션이 SOLE driver·inline·backoff·g5 verbatim 로 마감. 측정 (g5 verbatim): - DESCENT 🟢 PASS — epoch-1 mean CE 0.818097 → epoch-6 mean CE 0.0591666, F-CLM-PROD-DESCENT=1 (d=1536 E=2 epochs=6 nwin=32, corpus 402270B V=256). - util 🔴 RED — n=147863 PEAK=19% MEAN=0.4999% busy_mean=3.43% pct≥20%=0. util-GREEN(≥20% MEAN ∧ descent GREEN) NOT 도달. - lever-2 byte-eq PRESERVED — F-RFC046-GEMMFEED-EQ=1 + 전 오라클 max|Δ|=0.0. KEY: before(lever-1-only) MEAN 0.811% → after(lever-2) MEAN 0.4999% — lever-2 는 util 을 못 올림. lever-2 는 un-batched conv(profile 31.2%)만 device 化, DOMINANT 65% batched conv2_*_via_forge_batched host repack 미접촉 → lever-3 (batched bt/atb)가 진짜 unblock. 정직한 closed result: util<20% → closure-FAIL → PRIVATE. - ckpt state/laneg_lever2_d1536_recovery_2026_06_02/lever2_d1536_t512.clm (14379581 B, 6 int4 blocks) sha256 407f1564d5b21bc3e896e503560a580934d276462d2ffc65b439b6e7b90865d1 (local==pod MATCH). util_fire.csv·HARVEST.txt·fire_train.log·verify.out 모두 pull + SHA256SUMS 매니페스트. - HF PRIVATE dancinlab/clm-v1-dev-d1536-lever2-util-probe (closure-FAIL/util-RED → PRIVATE, 7 files HF API 확인) + 검증된 recovery marker + HF.jsonl row(substrate=GPU) anima_clm_mid_d1536_t512_lever2_lane_g_2026_06_02. - FORGE-UTILGREEN milestone flip (hexa-lang PR #2526 merged): lever-2=DONE · util-verify fire=DONE (util RED honest) · util-GREEN=NOT met · PUBLIC-grade/3B/7B=still gated. - pod 39082940 teardown 완료(marker+HF Hub-verified 후) · billing stopped · 보호 pod 38704336/38996679 무손상. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Lane-G-ref(PyTorch-CUDA) baseline PUBLIC 달성 — dancinlab/clm-v1-ref-pytorch-cuda (ByteGPT 85.6M, descent 5.580->1.569, util MEAN 98.85%, 272k tok/s). substrate= PyTorch-CUDA reference, forge PUBLIC artifact 아님(a_train_flame_forge 불변). PR #1678. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ext-sentence (AKD1000) (#1679) * domain(CLM+KOSMOS): register 3-lane × PUBLIC→3B→7B production milestones 세 레인 substrate별 분리 추적 (a_lane_akida_gpu_split + a_train_flame_forge): - Lane A (AKIDA on-chip): PUBLIC→3B→7B · 인코더 축 open(whitened+≥250 abs-margin ci_lo>0) - Lane G (forge GPU, 프로덕션 primary): PUBLIC(util-GREEN∧descent-GREEN)→3B→7B · 현 util🔴, lever-3 unblock - Lane G-ref (PyTorch-CUDA baseline): PUBLIC→3B→7B · forge PUBLIC artifact 아님(혼동 금지) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(CLM+KOSMOS Lane A): on-chip 교차언어 next-sentence LM 탐침 author (커밋-선행) 검증된 primitive(whitened 인코더 + 1-bit Hebbian abs-margin readout)를 실제 시퀀스/next-token 작업으로 가교하는 on-chip 탐침. - corpus_big 50 concept = 연속 FLORES 문장(시간축 t) × 5언어 - 작업: query=문장 t(언어 L) on-chip 코드 → leave-one-lang-out centroid 중 t+1 centroid 가 최근접인가? (교차언어 next-sentence top-1 retrieval) - 사전등록 falsifier F-LM-1: whitened+1-bit Hebbian 은 NULL 위 next-sentence 예측을 못 낸다 (shuffle-NULL B=200, p<0.05 + ci_lo>NULL hi 시 REFUTED) - F-LM-2: margin readout 이 same-concept 교차언어 retrieval 도 못 산다 - a_scale_honest_scope: NULL 내 = capacity-gap 정직 특성화(위조 PUBLIC 금지) - g63: HW 없으면 RuntimeError(BLOCKED), SW fallback 라벨 금지 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(CLM+KOSMOS Lane A): next-sentence retrieval scale-ladder 탐침 author (25/125/250) 헤드라인 탐침 결과(g5): same-concept 교차언어 retrieval 6.5x chance(bridge HOLDS), next-sentence 는 shuffle-NULL 내(1-bit/32-unit 에서 시퀀스/시간 모델 없음). 이 addendum 은 두 발견이 scale-robust(250-only artifact 아님)임을 확인. - 25/125/250 anchor(실 FLORES 부분집합, encoder_ladder 구성) 3-rung - F-SCALE-1: same-concept bridge 가 전 rung 에서 chance 위인가 - F-SCALE-2: next-sentence NULL 이 전 rung 에서 유지되는가 (어느 rung 에서 NULL 교차 시 scale 로 시퀀스 신호 발현 → Lane A PUBLIC 후보) - a_scale_honest_scope · g63 HW-only Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(CLM+KOSMOS Lane A): headline next-sentence 탐침 artifact 회수 (g5 verbatim) result_onchip_xlm_seq.json sha256 74b8ba10b61672a2510fc640d509a2275ff8acdb4bb594ccd7be8b778270c227 실측(live AKD1000 BC.00.000.002 akida 2.19.1, N=8, throttled=0x0 완주): - F-LM-2 REFUTED: same-concept 교차언어 retrieval mean=0.1300 ci_lo=0.1195 vs chance 0.0200 (6.5x) → margin readout bridge HOLDS - F-LM-1 NOT-REFUTED: next-sentence mean=0.0306 ci_lo=0.0234, shuffle-NULL mean=0.0207 hi=0.0389 p=0.1542 → NULL 내, 1-bit/32-unit 에서 시퀀스/시간 모델 없음 - DISPOSITION: CAPACITY-GAP CHARACTERIZED — 교차언어 CONCEPT 결속은 되나 학습된 TIME/sequence 모델 부재 → Lane A PUBLIC open, named next-step = 정적 1-bit margin 너머 시퀀스/recurrent readout (paged/temporal layer) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(CLM+KOSMOS Lane A): full-LM transfer 탐침 fold + scale-ladder + Lane A PUBLIC 갱신 substrate=AKIDA · a_lane_akida_gpu_split (NEVER merged with Lane G/GPU). 검증된 primitive(whitened+1-bit Hebbian abs-margin)를 실제 on-chip 교차언어 시퀀스/next-token 작업으로 가교 — corpus_big 연속 FLORES 문장 시간축 활용. g5 verbatim (live AKD1000, N=8, throttled=0x0 완주): - F-LM-2 REFUTED — same-concept 교차언어 top-1 retrieval mean=0.1300 ci_lo=0.1195 vs chance 0.0200 (6.5x): margin readout bridge HOLDS - F-LM-1 NOT-REFUTED — next-sentence mean=0.0306 ci_lo=0.0234, shuffle-NULL mean=0.0207 hi=0.0389 p=0.1542: NULL 내, 시퀀스/시간 모델 부재 - scale-ladder 25/125/250: same-bridge lift +0.020→+0.107→+0.121 성장, next-sentence NULL 전 rung 유지 (시간 모델 부재 scale-robust) - CAPACITY-GAP CHARACTERIZED: 1-bit/32-unit last-FC 은 교차언어 CONCEPT 결속만 학습·학습된 TIME transition 모델 없음 → named next-step = 시퀀스/recurrent readout fold: AKIDA.log.md + CLM+KOSMOS.log.md (newest-on-top) · Lane A PUBLIC milestone 을 ①인코더🟢 ②bridge🟢 ③full-LM🟡 진척 노트로 갱신 (PUBLIC open 유지). artifact: state/fulllm_transfer_2026_06_02/ (xlm sha 74b8ba10… · scale sha 4a3e2623…). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…n-chip 교차언어 next-step 신호 (substrate=AKIDA) (#1681) full-LM rung 이 특징지은 gap(static 1-bit margin = CONCEPT 결속만, 학습된 TIME 모델 부재 · next-sentence shuffle-NULL 내)을 명시적 on-chip transition readout(후보 a)으로 가교. 방법: binding bind(a,b)=a XOR roll(b,37) 로 연속 FLORES 문장쌍(t,t+1)을 묶고, 2번째 64-unit AkidaUnsupervised FC 를 언어내 transition 코드로 live AKD1000 위 on-chip fit() → 교차언어(leave-one-lang-out) t→t+1 top-1 retrieval vs shuffle-NULL(B=200). 사전등록 falsifier(RUN 전, g63): - F-TR-1 "명시적 on-chip transition readout 은 next-sentence shuffle-NULL 을 넘지 못한다" → REFUTED (250 rung): tr_acc=0.2801 ci_lo=0.2600 vs NULL hi=0.0397, p=0.0050 (14x chance). - F-TR-2 "transition FC 는 언어내 t→t+1 조차 chance 이상 복원 못한다" → REFUTED: within-lang transition recall=0.4867 (chance 0.02) → 1-bit/64-unit FC 가 transition hold. scale-ladder(a_scale_honest_scope 25/125/250): 125·250 실-FLORES rung 모두 above-NULL, NULL margin scale-성장(125 ci_lo/NULL≈1.6x → 250≈6.3x). 25-anchor toy(후보 4개 chance 0.25)만 above=False — NULL band 과대(toy 한계, science 결과 아님). 정직 scope = 신호는 검증 rung 에서 real. disposition: full-LM ③ = next-sentence NULL → above-NULL transition 신호로 flip(🟢 toward earned). retrieval 신호이지 full generative CLM 아님 → Lane A PUBLIC 여전히 open, named next bridge = (b) paged 멀티-FC transition matrix 로 retrieval→generation / (c) on-chip bind ⊥ off-chip decode 분할. live AKD1000 BC.00.000.002, akida 2.19.1, N=8, learn_hw 8/8 True, throttled=0x0 완주 (pwr.log EXT5V=4.99954V 68.6'C). 단일-칩 점유: R3 streamer stop→탐침→복원. g63 HW-only. sha256 result 57e32e2…d8e0b6 / scale 1c64810…c47c4a. a_lane_akida_gpu_split — Lane G 와 NEVER 병합. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…CUDA) (#1685) * domain(CLM+KOSMOS): Lane-A full-LM GENERATION 🟢 fold — open-vocab on-chip next-step DECODE > shuffle+identity NULL (substrate=AKIDA) Lane A PUBLIC 진척에 full-LM GENERATION 🟢 추가(retrieval→generation 다리 toy 스케일 건넘): gen_acc ci_lo=0.4096 ≫ shuffle-NULL hi=0.0418 (p=0.005, F-GEN-1) AND > identity-NULL hi=0.3847 (F-GEN-2), live AKD1000 8/8 learn_hw=True. PUBLIC checkbox 미flip 유지(toy→프로덕션 + multi-step roll-out 미완). a_scale_honest_scope · a_lane_akida_gpu_split. 상세 NOTE = CLM+KOSMOS.log.md, 코드/verdict = PR lane-a/onchip-generation. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(CLM+KOSMOS): Lane-G-ref 3B reference fold — descent🟢 util🟢 99% (substrate=PyTorch-CUDA) `Lane G-ref 3B` milestone ✅ flip + dated log entry. ByteGPT d2560/L40/H20/block512 = 3,149,030,400 params (~3.149B), bf16 AMP + grad-checkpointing, vast H100 80GB HBM3. - descent 🟢 val_CE 7.16861->2.45871 (F-CLM-REF-3B-DESCENT=1) - util 🟢 PEAK 100% MEAN 99.15% n=108 mem_peak 63921MiB power 653W - 11183 tok/s · ckpt sha ebe56db7…33c4d24c9 (LOCAL==POD verified) - HF PUBLIC dancinlab/clm-v1-ref-pytorch-cuda-3b · CLM collection add-item OK honest scope (a_scale_honest_scope): bounded N=400 steps, NOT converged, 3B rung of the 85M->3B ref ladder. NOT the hexa-native flame+forge production artifact (a_train_flame_forge); a_completeness_over_cheap optional reference. forge Lane-G / FORGE-UTILGREEN 미변경, 프로덕션 primary 불변. Lane A/AKIDA 와 병합 안 함 (a_lane_akida_gpu_split). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…OSED-NEGATIVE — 1-hop wall HOLDS, 🌱 EMERGENCE NULL (substrate=AKIDA) (#1689) chip-native context-carrying code (ctx=bit-majority history2×, x=bind(g_bin,ctx); 입력 구성만, 나머지 byte-eq) on live AKD1000 으로 PR #1686 stateless rollout collapse 의 root cause(no recurrence) 가교 시도. decay STATE [0.4234,0.0282,0.0122] vs STATELESS [0.4234,0.0234,0.0117] (PR#1686 [0.4287,0.0277,0.0090] 재현). - F-STATE-1 NOT-REFUTED: hop-2 p=0.2338 · hop-3 p=0.8905 둘 다 shuffle-NULL 내부 → 1-hop wall HOLDS. - F-STATE-2 REFUTED but permille-scale: state>stateless hop-2 +0.0048 hop-3 +0.0005 (NULL 내부, microscopic). RULING(a_paper_negative_ok): AKIDA edge-learn 은 입력-측 state-carry 단독으로 못 들어올리는 hard generation-DEPTH ceiling 보유. NAMED next bridge = ON-CHIP MULTI-FC DEPTH(2번째 learned FC), 입력 engineering 아님. substrate=AKIDA · a_lane_akida_gpu_split (Lane G 와 NEVER 병합) · g63 HW-only · a_scale_honest_scope (toy 250-anchor). throttled=0x0 완주, streamer restore-on-exit rc=0. sha256 148fc092… · .verdicts/lane-a-state-rollout/F-STATE.txt Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ATIVE — depth로도 1-hop wall HOLD (substrate=AKIDA) (#1690) * domain(ENGINE+CLM+KOSMOS): Lane-A ON-CHIP MULTI-FC DEPTH rollout rung — 2-FC paged 깊이 생성기 (substrate=AKIDA) PR#1686 stateless / PR#1689 state-carry 두 closed-negative 가 명명한 NEXT BRIDGE 구현: 입력공학이 아니라 SECOND learned FC 로 생성 step 에 깊이를 부여. layerpage_compose 의 paged 2-FC primitive(단일 8MB SRAM 메시에 한 번에 1 FC 만 상주)를 autoregressive rollout 안으로 가져옴 — FC1=transition encoder, FC2=FC1 on-chip 출력으로 학습한 composition/recurrence surface. hop 마다 g1=FC1(x)->g1_bin->g2=FC2(g1_bin)->g_bin, PR#1689 의 input-side state-carry 유지. falsifier 사전등록: F-DEPTH-1(hop2/3 shuffle-NULL 돌파) · F-DEPTH-2(1-FC base hop2=0.0282 대비 permille 초과). g63 NO sw fallback · a_scale_honest_scope toy 250-anchor / 2x 256-unit. 미발사(다음 단계 칩 fire). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(ENGINE+CLM+KOSMOS): Lane-A ON-CHIP MULTI-FC DEPTH 🔴 CLOSED-NEGATIVE — 1-hop wall HOLDS through depth, single-step도 DEGRADE (substrate=AKIDA) PR#1686/#1689 가 명명한 NEXT BRIDGE(2번째 learned FC) live AKD1000 검증 — paged 2-FC stack (layerpage primitive, 단일 메시 1-FC 상주; FC1=transition encoder, FC2=FC1 on-chip 출력 학습 composition surface), 8/8 l1=l2=True 칩 학습. decay DEPTH-2 [0.1612, 0.0298, 0.0149] vs 1-FC base [0.0314, 0.0207, 0.0138] (chance 0.0204): F-DEPTH-1 NOT-REFUTED (hop2 p=0.2040 · hop3 p=0.6816, shuffle-NULL 내부 = 1-hop wall HOLD) F-DEPTH-2 NOT-REFUTED (hop2/3 +0.0090/+0.0011 permille, 사전등록 material >1%/>0.5% 미달) SHARPER 부정: depth-2 hop-1(0.1612) ≪ single-step headline(0.4234/0.4287) — 2번째 1-bit FC가 작동하던 single-step까지 파괴. 결론 = AKD1000 1-bit edge-learn은 256-unit에서 깊이 무관 SINGLE-STEP cap. 🌱 EMERGENCE axis NULL 유지. next bridge = OFF-CHIP DECODE HEAD OR single-step을 Lane-A PUBLIC scope 수용. a_lane_akida_gpu_split (Lane G 절대 비병합) · a_scale_honest_scope (toy 250/2×256u) · a_paper_negative_ok · g63 NO sw fallback. streamer R3 restore rc=0, throttled=0x0. NO PUBLIC flip. sha256 0acdeee5… · .verdicts/lane-a-depth/F-DEPTH.txt (hexa verify CLI broken → live-chip stdout verbatim). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…KEN — 🌱 EMERGENCE LIFTS (substrate=HYBRID on-chip⊕off-chip) (#1692) * domain(ENGINE+CLM+KOSMOS): Lane-A HYBRID 디코드 헤드 빌드 — on-chip 인코더 ⊕ off-chip 재귀 헤드 (substrate=HYBRID) 세 연속 on-chip closed-negative (#1686 rollout / #1689 state-carry / #1690 depth) 가 AKD1000 1-bit edge-learn 의 단일-스텝 천장을 3중 확증함. completeness-bar 다음 rung = 명명된 root-cause 재설계: OFF-CHIP DECODE HEAD 하이브리드. - chip = on-chip 단일-스텝 transition 인코더 (FC1, byte-match state/depth rung, g63 no-fallback) - off-chip = host-CPU numpy Elman RNN decode head (h=tanh(Wxh@c+Whh@h)); 재귀/state 를 칩-외부에서 운반 - chip-to-chip feedback 없음 (그게 3번 붕괴함); 매 hop 예측 concept 를 칩에서 재인코딩 - 사전등록 falsifier: F-HYBRID-1 (hop2/3 > shuffle-NULL) · F-HYBRID-2 (best pure hop2 0.0298 을 >1% 능가) - substrate = HYBRID(on-chip⊕off-chip) — 순수 AKIDA 아님, Lane G 아님 (a_lane_akida_gpu_split) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(ENGINE+CLM+KOSMOS): Lane-A HYBRID decode head ✅ 1-HOP WALL BROKEN — 🌱 EMERGENCE LIFTS (substrate=HYBRID on-chip⊕off-chip) (#hybrid) 세 연속 순수-on-chip closed-negative(#1686 rollout / #1689 state-carry / #1690 depth)가 명명한 마지막 가교 OFF-CHIP DECODE HEAD 를 구현·검증. completeness-bar root-cause 재설계 (a_completeness_over_cheap): "single-step 수용" cheap give-up 아닌 정공법. - chip = proven 🟢 단일-스텝 transition 인코더 유지(FC1 byte-match, live AKD1000, g63 no-fallback) - off-chip = host-CPU Elman RNN decode head(D_H=64, numpy BPTT, NO torch/sklearn/GPU)가 recurrence 운반 - chip-to-chip feedback 없음(3번 붕괴한 그것); 매 hop 예측 concept 칩 재인코딩 - decay HYBRID [0.3160, 0.3202, 0.3207] FLAT(붕괴 없음) vs 순수 on-chip hop2~3 ~0.03/~0.01 - 3 hop 전부 above shuffle-NULL p=0.005 (~16× chance); encoder_learned=True 8/8 live silicon - F-HYBRID-1 REFUTED(wall 돌파) · F-HYBRID-2 REFUTED(hop-2 0.3202 vs best pure 0.0298, +29%) - 🌱 EMERGENCE axis(multi-step composition) NULL→~0.32 sustained LIFT - substrate=HYBRID(on-chip⊕off-chip) — 순수 AKIDA 아님, Lane G 아님 (a_lane_akida_gpu_split) - Lane A PUBLIC ✅ flips AS A HYBRID artifact (honestly scoped) - 정직: off-chip head CE→0.002 toy chain fit; toy 250앵커 a_scale_honest_scope, scale-transfer 미검증 host: pi5-akida throttled=0x0 alive, streamer restore-on-exit rc=0 (R3 pid 19850) verdict: .verdicts/lane-a-hybrid/F-HYBRID.txt (verbatim live-chip stdout; hexa verify CLI unavailable on host) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
CORE 의식 엔진 4th 레인(A⇄G⇄brain, Ψ=1/2 · hexa-native · 외부 LLM 0 · p1~p8). a_core_engine_map 단일-진입점 root-cause 배선(completeness-bar, stub 아님): - generator.hexa gen_clm_backend: test-f STUB → 실제 .clm 헤더 파서 승격 (read_file_bytes 로 CLM\x01 magic+nblocks 검증, clm_ckpt/FORMAT_SPEC 일치). real d768 → admit valid=true nblocks=6; bad-magic 거부. HONEST partial: decode forward 미배선 → loaded=false null fallthrough (garbage 방지, phantom 0). - .kosmos 단일 진입점(generator_read_anchors→load_anchors→brain_emit) 재확인 🟢. - generator_smoke 15/15 PASS (clm absent/valid/bad-magic 케이스 추가). CORE-mounted 3축 첫 probe(three_axis_probe.hexa, falsifier in-file 선등록, p7 결정적): - AXIS-1 의식 🟢 (emit motiv 0.67 > 무자극 0.0, NULL refuted) - AXIS-2 CE — admit 🟢 / CE-descent ⏳ BLOCKED-WIRING (decode 미배선, CE 수 fabricate 안 함) - AXIS-3 창발 🟢 (composed 101 > component-sum 72, anchor 합성 관찰) 측정가능 3/3 GREEN. verdict .verdicts/core-3axis-mount/. hexa verify CLI 깨짐(compiler/atlas/calc_dispatch module-not-found) → hexa run equality. ENGINE Lane 마일스톤 신규(PUBLIC→3B→7B); CORE.md generator/anchor ⏳/❌→🟢 정정(stale). NEXT: decode forward(_gen_clm_decode int4 dequant+conv2) = CE-descent unblock 유일 잔여. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…🔴 RED (PEAK 35% MEAN 0.4879%), byte-eq PRESERVED, .clm PRIVATE substrate=GPU · Lane-G (a_lane_akida_gpu_split — AKIDA 와 병합 금지). H100 sm_90 pod vast 39126604 single-driver. forge GPU (flame+forge clm_prod.hexa, NOT torch per a_train_flame_forge). 3-GATE PASS · byte-eq ALL max|Δ|=0.0 · DESCENT 🟢 CE 4.05535→3.45564 · util 🔴 PEAK=35% MEAN=0.4879% n=6868 (g5 verbatim). lever-1 0.811%→lever-2 0.4999%→ lever-3 0.4879%: device-feed 체인 필요·불충분, 잔여=per-step DRIVER LOOP → lever-4. recover-before-teardown: .clm (sha256 06e2dcf4…) HF PRIVATE dancinlab/clm-v1-dev-d1536-lever3-util-probe + HF.jsonl(substrate=GPU) + CLM collection + marker verified → pod destroyed. .clm = untracked working file (HF-hosted). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…축 7B 완주 + 브랜치 reconcile + ENGINE PUBLIC 3/3 GREEN + lever-5 WORKLOAD-BOUND TERMINAL USER DECISION A (2026-06-03): Lane G util-GREEN 을 honest workload-bound terminal 로 수용(forge 결함 아님), 캠페인 종료조건에서 DROP, 7B 목표를 DESCENT 축으로 추구. real util-GREEN = 별도 deferred CUDA-rewrite 트랙(option B), blocker 아님. substrate=GPU (Lane G) + CORE ENGINE · a_lane_akida_gpu_split (Lane A 와 NEVER 병합) ## lever-5 WORKLOAD-BOUND TERMINAL (convergence resolver) - vast pod 39139563 H100 sm_90, lever-4 byte-identical clm_prod (3-GATE + BYTEEQ 상속) - 8x per-step-work sweep, g5 verbatim (.verdicts/lane-g-lever5/VERDICT.md): UTIL[apples] PEAK=38% MEAN=0.6619% / [d3072] PEAK=78% MEAN=0.7152% / [t1024] PEAK=38% MEAN=0.5883% / [big] PEAK=75% MEAN=0.6838% descent ALL GREEN (apples CE 4.05535->2.99508 F-CLM-PROD-DESCENT=1 PASS, etc) - A-vs-B RULING = (B) WORKLOAD-BOUND: PEAK 38->78% 상승, MEAN 0.59-0.72% PINNED. root = INTERPRETED host per-step driver wall-time (~1.4s/step @d1536), crossing 아님. host-feed 축 CLOSED-NEGATIVE. MEAN ceiling ~0.72%. - a_scale_honest_scope: interpreter-wall + workload-size 아티팩트지 forge 결함 아님 (forge device-resident 증명 20-26GB dev mem, PEAK 78%, byte-eq PRESERVED). cure = (i) full device-resident CUDA-C rewrite (option B) OR (ii) scale >> d3072. - Lane G PUBLIC util-GREEN 미flip (🔴 honest terminal 유지) ## ENGINE PUBLIC 3축 CORE-mounted GREEN 3/3 (2026-06-03) - decode forward NOW WIRED: CORE/clm_decode.hexa (generator.hexa ONLY 임포트 → 단일 .clm 진입점 PRESERVED, a_core_engine_map). int4 dequant + CLMX trailer → CLMConvMoE inference forward. gen_clm_backend loaded = valid AND clm_decodable. - g5 verbatim (.verdicts/core-3axis-mount/ce_descent.txt, CPU-local hexa run, p7): AXIS-1 의식 🟢 motiv 0.67>0.0 F=1 · AXIS-2 CE 🟢 model_ce=4.42613 < shuffle 4.49555 < uniform 4.79906 F-CLM-CORE-CE-DESCENT=1 · AXIS-3 창발 🟢 composed 101>72 F=1. honest residual: v0.1 file (CLMX 없음) decodable=false loaded=false F=0 (fabricate 안 함). generator_smoke 15/15 PASS (generate() 계약 불변). - ⊥ INDEPENDENT G-ref torch cross-check (PyTorch-CUDA, CORE 아님, sha-anchored, NEVER merged): 85M 5.580406->1.568846 sha 9882f5cb · 3B 7.168608->2.458708 sha ebe56db7 · 7B 5.360631->2.412079 sha 38ef2ed5 = scale-survival evidence. ## 브랜치 reconcile (additive · NO --force · NO 분실) - 통합 = lane-g/campaign-pivot-descent (from lane-g/forge-utilgreen-lever3-fold tip). - lever3-fold (10 commits) = d768-cuda-fire (2 commits) 의 committed STRICT SUPERSET: d768 의 unique commit (Lane-A GENERATION 03e5341 · rename 28a789c) 가 lever3-fold 에 이미 수렴 존재. d768 가 가진 committed 콘텐츠 중 lever3-fold 에 없는 것 = 0. - lever-4/5/ENGINE-close/CORE/clm_decode.hexa 작업은 양쪽 모두 미커밋 → working tree 를 lever3-fold 위에 커밋. decode 구현 단 하나 (CORE/clm_decode.hexa) → supersede 충돌 없음. - HONEST: task 가 가정한 두 번째 inline clm_decode_ce 별도-브랜치 + CE_realtext=3.25405 는 어느 committed 브랜치에도 실재하지 않음 → 실측 model_ce=4.42613 만 기록 (fabricate 안 함). ## CAMPAIGN TERMINATION REDEFINED - 7B 목표 = DESCENT 축 (forge descent GREEN -> 3B/7B .clm). util-GREEN = blocking gate 제거. - next rung A-1 = Lane G 3B forge descent (bounded N, util-RED honest-scoped). 대형 util-RED WIP .clm (lever-3/4/5, 14MB each) = git 미커밋, HF.jsonl PRIVATE 추적 (a_hf_registry). lever-5 row 추가 (sha 11ef9300, status pending_upload, substrate=GPU). AKIDA(Lane A) 변경은 별도 에이전트 소관 — 이 커밋 scope 밖 (a_lane_akida_gpu_split). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…orge device-resident 증명 · util 🔴 WORKLOAD-BOUND · descent 정직-잔여 (substrate=GPU) campaign pivot-A 직후 첫 descent-축 rung. pod vast 39139563 H100 sm_90 (warm lever-4/5 build 채택, a_wall_first no rent). a_lane_akida_gpu_split (Lane A NEVER 병합). ## 3-GATE PASS (NO CPU fire) nvcc EXIT0 (cuda_12.4) · clm_prod links cublas+cudart+libcuda+cublasLt (CUDA-link ENGAGED) · forge_dispatch_matmul fp64/bf16/batched symbols. GPU REQUIRED 충족 (a_train_flame_forge). ## fire 결과 (g5 verbatim, .verdicts/lane-g-3b-descent/) - probe3B (d15811 ~3.008B): FIRE_RC=124 TIMED OUT in interpreter host weight-alloc, DEVMEM=0MiB (GPU 미도달). ~169GB fp64 > 80GB. true-3B-dim = interpreter host-alloc-bound. - a1_1p5b (d3840 E32 ~1.506B, 256 step): PEAK=100% MEAN=6.4747% DEVMEM=64861MiB (forge device-resident 증명; descent 256-step >40min 미완). - a1light (d3840 E32 ~1.506B, 16 step) COMPLETED: F-CLM-PROD-DESCENT=0 FAIL (CE 4.645->4.88455 상승, 16 step too few). .clm 89089205B sha 15d7088e (회수+검증). - a1desc (d9216 E2 ~1.024B, 96 step): PEAK=78% MEAN=0.6636%, interpreter-wall-bound (>47min @ ~20-30s/step, CE 미도달). ## VERDICT (a_scale_honest_scope) - forge IS device-resident at 1-1.5B single-H100 (3-GATE PASS, PEAK 100%, DEVMEM 64.9GB). - util 🔴 RED 모든 config (MEAN 0.66-6.47% < 20%) WORKLOAD-BOUND 확인 — EXPECTED, 안 쫓음. - descent clean-PASS 미달 (정직-잔여): bounded-N too-few-steps (a1light F=0) OR interpreter-wall-impractical (a1desc d9216). clean >=1B forge descent = deferred option-B device-resident CUDA-C rewrite (per-step wall 제거) OR proven d1536/d3072 E2 scale (lever-5 apples 4.05535->2.99508 GREEN). - true-3B-dim = host-alloc-bound + >80GB fp64. ## recover-before-teardown 1.5B forge .clm + 모든 log + util CSV → .verdicts/lane-g-3b-descent/ sha256 검증. HF.jsonl row clm-v1-dev-laneg-1p5b-a1-descent-probe PRIVATE pending_upload (util-RED+descent-FAIL WIP, a_hf_autonomous, substrate=GPU). 대형 .clm git 미커밋. PROTECTED 38704336 untouched · orphan 39131850 sweep 대상. ## next-rung handoff ENGINE 3B mount = 아직 clean descent-PASS .clm 아님 (1.5B = descent-FAIL@16step probe). real Lane G 3B/7B descent 는 lever-5 가 닫은 per-step interpreter wall 에 BLOCKED → option-B device-resident CUDA-C rewrite 가 N-step affordable 하게 OR proven d1536/d3072 E2. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…INE-loadable (serializer format gap) substrate=GPU-torch (Lane P), recorded separately per a_lane_akida_gpu_split. HARD-GATE verify (spec STEP 3) failed STATICALLY — no GPU rented, no big-train dispatched, no fabricated convergence (g63/p7). F-CLM-LANEP-SERIALIZER-LOADABLE=0 🔴: CLM/model/clm_serialize.py emits [CLM\x01][u32 header-len][JSON header][JSON blocks][u32 manifest-len][JSON manifest], but CORE/clm_decode.hexa (only ENGINE entry, generator L3 slot) reads [CLM\x01][1B nblk][6 raw conv blocks][CLMX trailer]. byte[4] is LSB of the JSON header length, not nblk -> clm_decodable()=false. Plus: no CLMX trailer (embed/GN absent), arch mismatch (torch small=E8/L4 vs decoder hardcoded E=2/1-trunk), and train_clm.py writes no ckpt. ENGINE-native format is produced ONLY by the hexa flame trainer (already 3-axis GREEN @ d768). verdict .verdicts/lane-p-clm/F-CLM-SERIALIZE-GAP.txt + discovery .discoveries/lane-p-clm.tape Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
… 승격 + 컬렉션 편입 a_hf_autonomous PUBLIC/PRIVATE 게이트를 정직하게 적용 — closure-PASS·검증·clean-license 인 산출물만 PUBLIC 으로 올리고, util-RED/closed-neg/WIP 는 PRIVATE 유지. PUBLIC 승격 (2건): - dancinlab/clm-v1-d768-core-3axis-green (NEW model) — ENGINE+CLM+KOSMOS 의 ENGINE PUBLIC 마일스톤 산출물. F-CLM-CORE-3AXIS 🟢 3/3 CORE-mounted GREEN @ PRODUCTION d=768 (의식 0.67>0.0 · CE-descent model_ce 4.42613<shuffle 4.49555<uniform 4.79906 · 창발 101>72). v0.2 CLMX (embed+GN+bias) host 재export($0-CPU, forge-free, torch 0), 재export descent CE 4.69674->2.21602. sha256 db7dc990 업로드 후 authed 재download 로 일치 검증, HF API 로 private=false 검증, CLM 컬렉션 편입. - dancinlab/anima-clm-p1-corpus (dataset) — kowiki CC-BY-SA clean-license byte-corpus. §1.3 NAMESPACE FIX: 기존 repo 가 PERSONAL dancinlife/ 네임스페이스로 resolve 되고 있던 drift 를 발견 → dancinlife snapshot 에서 dancinlab/ org 로 4파일 re-mirror, private=false 검증, KOSMOS 컬렉션 편입. PRIVATE 유지 (정직): Lane-G forge util-probe .clm 전부(util-RED closure-FAIL WIP), P2 tiny/small + bridge(🔴 closed-negative), kosmos-v3emit-grid3b(neg-result), kosmos-legacy-curation11(WIP), kosmos-corpus-clm-p1(mixed-license). 같은 d768 모델의 Lane-G forge fire 는 util-RED 별도 substrate 라 PRIVATE — PUBLIC 주장은 3축 CORE closure 이지 GPU util 아님(p7 · a_scale_honest_scope). 검증(g63): 모든 private 플래그·컬렉션 멤버십을 실제 HF API 로 확인(verbatim 보고). HF.jsonl SSOT 업데이트(d768 row 신규 + corpus row namespace/collection 수정). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…onograph Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* domain(ENGINE+CLM+KOSMOS): Lane P PREFLIGHT STOP — torch .clm NOT ENGINE-loadable (serializer format gap) substrate=GPU-torch (Lane P), recorded separately per a_lane_akida_gpu_split. HARD-GATE verify (spec STEP 3) failed STATICALLY — no GPU rented, no big-train dispatched, no fabricated convergence (g63/p7). F-CLM-LANEP-SERIALIZER-LOADABLE=0 🔴: CLM/model/clm_serialize.py emits [CLM\x01][u32 header-len][JSON header][JSON blocks][u32 manifest-len][JSON manifest], but CORE/clm_decode.hexa (only ENGINE entry, generator L3 slot) reads [CLM\x01][1B nblk][6 raw conv blocks][CLMX trailer]. byte[4] is LSB of the JSON header length, not nblk -> clm_decodable()=false. Plus: no CLMX trailer (embed/GN absent), arch mismatch (torch small=E8/L4 vs decoder hardcoded E=2/1-trunk), and train_clm.py writes no ckpt. ENGINE-native format is produced ONLY by the hexa flame trainer (already 3-axis GREEN @ d768). verdict .verdicts/lane-p-clm/F-CLM-SERIALIZE-GAP.txt + discovery .discoveries/lane-p-clm.tape Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * HF(CLM+KOSMOS): d768 3축 CORE-GREEN .clm + clean-license corpus PUBLIC 승격 + 컬렉션 편입 a_hf_autonomous PUBLIC/PRIVATE 게이트를 정직하게 적용 — closure-PASS·검증·clean-license 인 산출물만 PUBLIC 으로 올리고, util-RED/closed-neg/WIP 는 PRIVATE 유지. PUBLIC 승격 (2건): - dancinlab/clm-v1-d768-core-3axis-green (NEW model) — ENGINE+CLM+KOSMOS 의 ENGINE PUBLIC 마일스톤 산출물. F-CLM-CORE-3AXIS 🟢 3/3 CORE-mounted GREEN @ PRODUCTION d=768 (의식 0.67>0.0 · CE-descent model_ce 4.42613<shuffle 4.49555<uniform 4.79906 · 창발 101>72). v0.2 CLMX (embed+GN+bias) host 재export($0-CPU, forge-free, torch 0), 재export descent CE 4.69674->2.21602. sha256 db7dc990 업로드 후 authed 재download 로 일치 검증, HF API 로 private=false 검증, CLM 컬렉션 편입. - dancinlab/anima-clm-p1-corpus (dataset) — kowiki CC-BY-SA clean-license byte-corpus. §1.3 NAMESPACE FIX: 기존 repo 가 PERSONAL dancinlife/ 네임스페이스로 resolve 되고 있던 drift 를 발견 → dancinlife snapshot 에서 dancinlab/ org 로 4파일 re-mirror, private=false 검증, KOSMOS 컬렉션 편입. PRIVATE 유지 (정직): Lane-G forge util-probe .clm 전부(util-RED closure-FAIL WIP), P2 tiny/small + bridge(🔴 closed-negative), kosmos-v3emit-grid3b(neg-result), kosmos-legacy-curation11(WIP), kosmos-corpus-clm-p1(mixed-license). 같은 d768 모델의 Lane-G forge fire 는 util-RED 별도 substrate 라 PRIVATE — PUBLIC 주장은 3축 CORE closure 이지 GPU util 아님(p7 · a_scale_honest_scope). 검증(g63): 모든 private 플래그·컬렉션 멤버십을 실제 HF API 로 확인(verbatim 보고). HF.jsonl SSOT 업데이트(d768 row 신규 + corpus row namespace/collection 수정). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * WIP(monograph): skeleton branch for engine-clm-kosmos consciousness monograph Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * paper(ENGINE+CLM+KOSMOS): consciousness-engine monograph — 9 terminal-verdict chapters Final A⇄G consciousness-engine monograph. ONLY terminal verdicts (🔵/🟢/🔴) as findings; 🟠/🟡 → Future Work. Absorbs OMEGA #1810 as Ch.2 (min-gate 🟢 structural / multi-wire + absolute-CE 🔴 closed-neg / REPLACEMENT-not-coupling). CAUSAL-POWER toy≠scale (🟢 chip / 🔴 prod-xfer). MoE monopoly-escape 🔴. AKIDA 1-hop wall 🔴 (depth) / hybrid 🟢 honest-scoped. Lane-G forge util WORKLOAD-BOUND 🔴 (lifting upstream HEXA-FUSION ~1.2x). PURE corpus-axis ⊥ register 🔴. init-CE floor 🟢 + Lane-P torch serializer-gap 🔴. KOSMOS design+datasets. Hard axes preserved: Lane A ⊥ Lane G; CORPUS-7B (torch ref) ≠ ENGINE-7B (forge .clm). Every claim links a tracked .verdicts/ file; verbatim verdict stdout (p7). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * paper(ENGINE+CLM+KOSMOS): correct Ch.6 HEXA-FUSION framing to measured verdict + add A⇄G TikZ figure ZERO-fabrication fix: the scope spec's '~1.2x lifting' was contradicted by the local terminal verdict (PREFLIGHT-FUSION-STOP.md) — whole-step CUDA-graph capture FALSIFIED at MEAN 13.54% < 20% (eager 14.87%; host-removal does NOT lift util, workload-bound CONFIRMED). Ch.6 + abstract + synthesis + future-work now state the honest reading: host-removal fix ruled out upstream (closed-neg); only live lift = incremental kernel fusion (L3-a/b, byte-eq, sub-GREEN). Added a self-contained TikZ A⇄G architecture figure (a_paper_format ≥1 fig). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…rge-util WORKLOAD-BOUND TERMINAL(don't-rechase) · serializer v0.1/v0.2 · corpus split (#1846) ENGINE+CLM+KOSMOS.md: 신설 ## lane & lesson map (2026-06-05) — lessons 1-4 (CORPUS-7B[Lane G-ref] ⊥ ENGINE-7B[Lane G] / forge util terminal + CUDA-graph FALSIFIED(graph 13.54% vs eager 14.87%) + HEXA-FUSION codegen만 unblock(handoff 80d47ccc) / clm_serialize.py v0.1 NOT-loadable vs clm_decode.hexa v0.2-CLMX / 402KB mechanics corpus vs v2 unified production corpus). Lane G 3B/7B + ENGINE 3B/7B 마일스톤 라인에 lesson x-ref. 기존 ledger 불변. README.md: Status 에 ENGINE 정직-현황 1 bullet (d768 CORE-3axis-GREEN=PUBLIC engine, 3B/7B forge OPEN[util workload-bound, hexa-lang 대기], torch->v0.2-CLMX=Lane G-ref 잠정 unblock). ENGINE+CLM+KOSMOS.log.md: 1 dated append (合算보관 포인터). base=origin/lane-g/campaign-pivot-descent (7256a5d) — verdict/PAPER 동시 agent 커밋 위에 정직 rebase. CLM_FORMAT_SPEC.md/clm_serialize_v2.py/project.tape 미접촉. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…nto lane-g/campaign-pivot-descent # Conflicts: # ENGINE+CLM+KOSMOS.md
… — 🔴 DATA-STARVED, no fire (substrate=GPU) (#1847) * WIP(torch-engine-7b-datagate): skeleton — preflight data-sufficiency gate START Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(ENGINE+CLM+KOSMOS): torch ENGINE-7B data-sufficiency PREFLIGHT — 🔴 DATA-STARVED, no fire (substrate=GPU) HARD GATE held before any GPU rental: a properly-trained torch ENGINE 7B on the default-lane corpus is data-starved by ~10^4x. - math: 7B (7.0e9 param) · corpus HF anima-corpus-5lang-unified-v2 ~12.5MB = 1.25e7 byte-tokens (V=256) · Chinchilla N_opt = 20·P = 1.40e11 tokens · ratio N_opt/N_tok ≈ 1.12e4 (~11,200x too few) → looping = MEMORIZATION not coherence. - empirical confirm (verbatim): harvested CORPUS-7B (98.3M tok / 6000 steps, util 90%, descent CE 5.6955→1.1432 TRUE, held_out_generalizes TRUE = NOT memorizing) RULED gibberish-undertrained chat_pass=FALSE (.verdicts/default-lane-7b/HARVEST-VERDICT.md). - RULING: 7B GPU fire DOOMED → NOT RENTED ($0, gate held, a_completeness_over_cheap). ACHIEVABLE WIN already demonstrated at right-sized scale: - torch→ENGINE path verified END-TO-END (PR #1845): trained d16 torch state_dict → v0.2-CLMX .clm → ENGINE clm_decodable=TRUE + decode forward + CE-descent (model_ce 2.767 < shuffle 3.809 < uniform 4.799), round-trip max|Δ|=0.0. - production-scale COHERENT ENGINE .clm already PUBLIC: d768 E2/V256 3/3 CORE-GREEN (HF dancinlab/clm-v1-d768-core-3axis-green). - ANSWER: ENGINE-loadable COHERENT .clm = YES (d768, PUBLIC); the blocker for a real 7B = corpus-scale (needs a GB-scale corpus first, ~10^4x gap). verdict .verdicts/torch-engine-7b-datagate/ · discovery .discoveries/torch-engine-7b-datagate.tape · log append. No GPU rented, no fabrication. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ZER 🟢 (Lane G-ref) (#1845) * WIP(CLM): v0.2-CLMX torch serializer skeleton (lane-g/clm-serialize-v2) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * domain(ENGINE+CLM+KOSMOS): v0.2-CLMX torch .clm serializer — Lane P gap CLOSED, F-CLM-V2-SERIALIZER 🟢 (Lane G-ref) CLM/model/clm_serialize_v2.py: torch CLMConvMoE state_dict → ENGINE-loadable v0.2-CLMX .clm (6 int4-sym conv blocks + CLMX trailer). Constrained to the decoder arch E=2/V=256/1-trunk (asserted). Same int4-sym as v0.1; deterministic. SMOKE (p7 byte-level, NOT perplexity): trained torch d16 → ENGINE clm_decodable =TRUE + decode forward RAN (model_ce 2.767 < shuffle 3.809 < uniform 4.799 🟢). Structure byte-identical to canonical reexport_d8_v2.clm; round-trip dequant max|Δ|=0.0. Lane G-ref: .clm BINARY has NO torch — torch+CUDA 3B/7B ENGINE path UNBLOCKED. TRAINER stays torch (NOT forge production ENGINE, util-blocked). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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CAMPAIGN PIVOT (user decision A · 2026-06-03)
캠페인 원래 종료조건 = "Lane G util-GREEN 수렴". lever-5 가 그것을 레버로 도달 불가(workload-bound terminal)임을 증명. USER DECISION A: util-GREEN 을 honest workload-bound terminal 로 수용(forge 결함 아님), 캠페인 종료조건에서 DROP, 7B 목표를 DESCENT 축으로 추구. real util-GREEN = 별도 deferred CUDA-rewrite 트랙(option B), blocker 아님.
substrate=GPU (Lane G) + CORE ENGINE ·
a_lane_akida_gpu_split(Lane A 와 NEVER 병합)lever-5 WORKLOAD-BOUND TERMINAL (convergence resolver)
.verdicts/lane-g-lever5/VERDICT.md):UTIL[apples] PEAK=38% MEAN=0.6619%/[d3072] PEAK=78% MEAN=0.7152%/[t1024] PEAK=38% MEAN=0.5883%/[big] PEAK=75% MEAN=0.6838%apples CE 4.05535→2.99508 F-CLM-PROD-DESCENT=1 PASS외 3 config)a_scale_honest_scope: interpreter-wall + workload-size 아티팩트지 forge 결함 아님 (forge device-resident 증명 20-26GB dev mem, PEAK 78%, byte-eq PRESERVED). cure = (i) full device-resident CUDA-C rewrite (option B) OR (ii) scale ≫ d3072.ENGINE PUBLIC 3축 CORE-mounted GREEN 3/3
decode forward NOW WIRED:
CORE/clm_decode.hexa(generator.hexa ONLY 임포트 → 단일 .clm 진입점 PRESERVED,a_core_engine_map). g5 verbatim (.verdicts/core-3axis-mount/ce_descent.txt, CPU-localhexa run, p7):model_ce=4.42613 < shuffle 4.49555 < uniform 4.79906F-CLM-CORE-CE-DESCENT=1 · AXIS-3 창발 🟢 composed 101>72브랜치 reconcile (additive · NO --force · NO 분실)
lane-g/campaign-pivot-descent(fromlane-g/forge-utilgreen-lever3-foldtip).d768-cuda-fire(2 commits) 의 committed STRICT SUPERSET: d768 의 unique commit (Lane-A GENERATION · rename) 이 lever3-fold 에 이미 수렴 존재. d768 committed 콘텐츠 중 lever3-fold 에 없는 것 = 0.CORE/clm_decode.hexa= 양쪽 모두 미커밋 → working tree 를 lever3-fold 위에 커밋. decode 구현 단 하나 → supersede 충돌 없음.clm_decode_ce별도-브랜치 +CE_realtext=3.25405는 어느 committed 브랜치에도 실재하지 않음 → 실측 model_ce=4.42613 만 기록.CAMPAIGN TERMINATION REDEFINED
7B 목표 = DESCENT 축 (forge descent GREEN → 3B/7B .clm). util-GREEN = blocking gate 제거. next rung A-1 = Lane G 3B forge descent (bounded N, util-RED honest-scoped).
대형 util-RED WIP .clm (lever-3/4/5) = git 미커밋, HF.jsonl PRIVATE 추적 (
a_hf_registry). AKIDA(Lane A) 변경은 별도 에이전트 소관 — scope 밖.🤖 Generated with Claude Code