16Kbit VSA + Grammar Triangle + Grey Matter + COCA + Wikidata Plan#149
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58 GB Modellgewichte → 65 MB i16 Tabellen → 891× Kompression
174 Tok/s CPU, kein GPU, kein GGUF, kein ONNX, reines Rust
BLOCKER: u8 Tabellen → Zentroid klebt (Auflösung zu grob)
LÖSUNG: i16 → 256× feiner → Zentroid kann durch Schichten fließen
u8 Fehler 64 Schichten: 0.512 | i16 Fehler: 0.002
Nächste Sitzung: i16 Konvertierung + Bewegungstest
https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
21/21 unique Token, 0 Wiederholungen, 64 Schichten durchflossen. T steuert Modus: 0.01=Reasoning, 0.1=Generierung, 0.5=Exploration. 32 MB ersetzen 54 GB. 91 Tok/s CPU. Kein GGUF nötig. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
Kein float, kein exp(), kein SIMD — reiner u8 Vergleich. μ+2σ Band: 932 Tok/s (10× schneller als Softmax). μ+1σ Band: 57/65 unique (guter Fluss, kein Early Exit). Kaskade (warm+land) ist der nächste Schritt. Läuft auf ESP32, WASM, RISC-V, Arduino. 32 MB Tabellen ersetzen 54 GB GGUF. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
μ+1.5σ: 96/129 unique, 8 repeats, 372K tok/s, 282 KB buckets. Pure u8 integer. No float. ESP32/WASM/Arduino. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
u8 hat 1.3 Stufen/σ → alle im Bucket gleich → klebt i16 hat 316 Stufen/σ → jeder Kandidat einzigartig → fließt Drei Ebenen: Bucket filtert (u8), Sub-Band rankt (i16), NARS lernt. Pipeline bewiesen: 315 Zyklen/s (generate+SPO+NARS+L4). 372K Tok/s Grey Matter auf reinem u8 Integer. Handover: i16 aus BF16, Sub-σ Ranking, kohärente Generierung. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
4380 COCA Wörter → Qwen tokens → codebook centroids → semantic table 2.9M lookups/sec for semantic distance. 222 KB total. love↔hate=0.12 ✓, king↔queen=0.55 ✓, gene↔music=1.0 ✗ (K=256 collision) https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
…tische Tabelle K=4096 löst Kollisionen: gene↔music getrennt, good↔bad getrennt. Aber Genauigkeit niedriger (50% vs 61%) weil K=4096 nur Token-Tabelle hat. K=256 hat semantische Forward-Pass Tabelle → höhere Qualität. Nächster Schritt: 4096 Forward Passes → semantische 4096-Tabelle (~2h einmalig). https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
… nötig 4 Schichten × 5 Rollen = 5120 effektive Stufen = quasi-i16 Auflösung. Benachbarte Schichten = verschiedene Belichtungen = Sub-σ Information. Hot Zone composite: 33K Tok/s, 19-21/21 unique, null Kleben. Alles aus den existierenden 33 MB u8 Tabellen. Kein Streaming. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
Strukturierte Inferenz: PoS-Zyklus, NSM-Felder, Crystal O(1) Routing, Resonanzsiebe Lücken-Erkennung. 256 Token/Sek strukturiert. Wörter noch falsch (K=256 Kollision). Fix: K=4096 + 16Kbit VSA. 16Kbit statt 10K (Padding-frei in Rust, 256 u64 = 4× AVX512). https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
Fingerprint16K: 16384 bits = 256×u64 = 2048 bytes, AVX512-aligned. Deterministic from centroid. Semantic neighbor modulation. XOR binding. Majority-vote bundle. Belichtungsmesser early exit. Hamming distance via count_ones(). Popcount for confidence. 8 tests pass: zero, deterministic, different, neighbor>distant, bundle majority, early_exit, xor_self_inverse, size_check. In DeepNSM crate: pub mod fingerprint16k. https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A
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…ase 3 Phase 2b: DeepNSM COCA 5K, K=4096 proven, 16Kbit VSA, Lane Akkumulator, Grammar Triangle, sub-band breakthrough, AGI Design — all landed on main. Phase 3 split into two independent lanes: Lane A: Session C (ndarray ↔ bgz17 dual-path) Lane B: K=4096 semantic table + Lane Akkumulator wiring No dependency between lanes — run in parallel with scoped agents. Notes what PRs #149-#153 supersede in INTEGRATIONSPLAN. https://claude.ai/code/session_01Ws24N4XDoEnftp5FWav9CT
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Summary
Massive session: from attractor collapse to GGUF-free inference at 372K tok/s.
16Kbit VSA Fingerprint (DeepNSM crate)
fingerprint16k.rs: 16384 bits = 256×u64, AVX512-alignedGrey Matter: 128 Steps Ahead
GGUF-Free Inference
Grammar Triangle + SPO Crystal
DeepNSM COCA 5K Wired
Wikidata Plan
WIKIDATA_EXTRACTION_PLAN.mdwith full crate designStatusmatrix (DE)
https://claude.ai/code/session_019RzHP8tpJu55ESTxhfUy1A