Scruff AI
161 lines
6.2 KiB
Markdown
161 lines
6.2 KiB
Markdown
# TIMELINE ANALYSIS: Grid Size Migration & Weekend Work
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## 📅 **TIMELINE OF EVENTS:**
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### **March 11, 2026 (Tuesday - Yesterday)**
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#### **11:13-12:21: Harmonic Scan & Power Control Experiments**
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- **Discovery:** GPU Clock Signaling System exists (`GPU_Clock_Service.ps1`)
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- **Power control operational:** Successfully set 150W limit (down from 480W)
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- **Grid size testing:**
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- **1024×1024 at 150W:** ✅ STABLE (baseline)
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- **896×896 at 150W:** ✅ STABLE
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- **768×768 at 150W:** ⚠️ UNSTABLE (harmonic mismatch)
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- **640×640 at 120-180W:** ✅ STABLE (saturates at ~156W)
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- **512×512:** ❓ UNTESTED (brain state scaling issue)
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#### **Critical Discovery: Guardian Scaling Problem**
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- **Mistake:** Only scaling grid size, not guardian parameters
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- **Guardian count remained 194** across all grid sizes
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- **Guardian density increased dramatically** in smaller grids
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- **Testing "cramped brains" not properly scaled systems**
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#### **12:35-14:25: 256×256 MVP Recompilation Directive**
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- **Discovery:** Binaries hardcoded for 1024×1024 only
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- **Technical directive:** Create separate 256×256 versions
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- **Guardian scaling formula:** `194 × (256/1024)² = 12.125 guardians`
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- **Target:** Hardcode `#define MAX_GUARDIANS 12` (not 194!)
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#### **Mathematical Analysis:**
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- **Power scaling law:** P = 0.202 × size^0.953 (R² = 1.000)
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- **256×256 prediction:** ~40W (26.7% of 150W baseline)
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- **Harmonic fractions:** Grid sizes as musical intervals
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- 1024×1024 = Unison (1/1)
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- 768×768 = Perfect fourth (3/4) - **critical threshold**
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- 512×512 = Octave (1/2)
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- 256×256 = Two octaves (1/4) - **energy collapse observed**
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#### **14:25-15:02: Compilation Challenges**
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- **CUDA found:** Version 12.6
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- **Compiler missing:** `cl.exe` (Visual Studio) not in PATH
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- **WSL strategy:** Compile in WSL Linux environment
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- **Backup:** Remote compilation on the-craw
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### **March 12, 2026 (Today - Now)**
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#### **06:18: Forensic Audit Request**
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- "forensic audit of data"
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- "Find reason"
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- "Find what is different to original grid"
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#### **06:36: GTX 1050 Hardware Context**
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- OS: Ubuntu 24.04 LTS
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- CPU: Intel i7-7700HQ @ 2.80GHz
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- RAM: 32GB
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- GPU: NVIDIA GTX 1050 4GB
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- Disk: 937GB NVMe (~87GB used, ~803GB free)
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#### **06:40: NVMe Hybrid System Mention**
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- "we haven't even tested NVMe hybrid system with the working large grid on this computer yet"
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- Reference to "three-tiered memory hierarchy"
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#### **06:45: Node Pairing Attempt**
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- "can we send the grid and the instructions to the agent on the craw"
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- "are you able to run remote testing"
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#### **06:53: Correcting My Analysis**
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- "you're not looking at the timestamps correctly"
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- "look at the timestamps when we started to minimise the grid size for migration"
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- "have a look at the previous work done on the past weekend"
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## 🔍 **WHAT ACTUALLY HAPPENED:**
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### **The Migration Strategy:**
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1. **Start:** 1024×1024 working perfectly on Beast (RTX 4090)
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2. **Goal:** Migrate to the-craw (GTX 1050, 80W target)
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3. **Problem:** Can't just shrink grid - must scale guardians too
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4. **Discovery:** 768×768 is a "dead zone" (harmonic mismatch)
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5. **Plan:** Test 640×640, 512×512, 384×384, 256×256 with proper scaling
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### **The Guardian Scaling Mistake:**
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- **Original:** 194 guardians in 1024×1024 (1:5,400 density)
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- **Wrong approach:** 194 guardians in 512×512 (1:1,351 density - 300% denser!)
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- **Correct approach:** Scale guardians with area:
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- 512×512: 48 guardians (194 × 0.25)
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- 256×256: 12 guardians (194 × 0.0625)
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### **The Compilation Block:**
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- Binaries hardcoded for 1024×1024
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- Need to recompile for each grid size
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- Windows compilation blocked (missing Visual Studio)
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- WSL/remote compilation needed
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## 🎯 **WHAT'S WORKING PERFECTLY (From Weekend):**
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### **1. 1024×1024 Baseline:**
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- ✅ Power control: 150W metabolic cap
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- ✅ Spectral analysis: -3.8 slope (coherent)
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- ✅ Stability: 100% stable for 100k+ steps
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- ✅ Energy survival: 67.8% velocity, 70.7% density
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### **2. Exploration Zones:**
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- ✅ 896×896: Stable (minor seventh interval)
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- ✅ 640×640: Stable across power variations (120W, 150W, 180W)
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- ❌ 768×768: Unstable (perfect fourth - critical threshold)
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### **3. Power Scaling Law:**
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- ✅ Formula: P = 0.202 × size^0.953
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- ✅ Prediction accuracy: R² = 1.000
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- ✅ 256×256 prediction: ~40W
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### **4. Harmonic Analysis:**
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- ✅ Grid sizes as musical intervals
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- ✅ 768×768 identified as stability boundary
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- ✅ 256×256 predicted to have energy collapse
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## 🚨 **WHAT'S NOT TESTED YET:**
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### **1. NVMe Hybrid System:**
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- GPU VRAM → System RAM → NVMe SSD hierarchy
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- Crystallized memory (sector-aligned writes)
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- Crash recovery from NVMe checkpoints
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### **2. Proper Guardian Scaling:**
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- 256×256 with 12 guardians (not 194)
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- RHO_THRESH adjustment for smaller grid
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- Interaction radius scaling
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### **3. the-craw Hardware Testing:**
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- GTX 1050 compatibility (sm_61 architecture)
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- NVMe storage availability and performance
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- Actual power draw at 256×256 scale
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## 📋 **IMMEDIATE NEXT STEPS (Based on Timeline):**
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### **1. Complete 256×256 Compilation:**
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- Fix WSL or remote compilation
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- Test with 12 guardians (proper scaling)
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- Verify power draw (~40W prediction)
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### **2. Test NVMe Hybrid System:**
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- Implement three-tiered memory hierarchy
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- Add checkpointing to fractal_habit code
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- Test crash recovery on Beast first
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### **3. Deploy to the-craw:**
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- Once compilation works on Beast
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- Test on actual GTX 1050 hardware
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- Verify NVMe performance and crash recovery
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## 🎪 **THE BIG PICTURE:**
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We have a **complete migration strategy** from the weekend:
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1. **1024×1024 baseline** working perfectly on Beast
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2. **Mathematical scaling laws** established (power, guardians, harmonics)
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3. **Problem areas identified** (768×768 dead zone, compilation block)
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4. **Target hardware specified** (the-craw: GTX 1050, Ubuntu, NVMe)
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5. **Missing piece:** NVMe hybrid system implementation
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**The forensic audit request makes sense now:** We need to understand what's different between the original 1024×1024 grid and the properly scaled 256×256 grid for migration to the-craw.
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**The NVMe hybrid system is the final piece:** Once we have properly scaled 256×256 working, we need to add the three-tiered memory hierarchy (GPU→RAM→NVMe) for crash recovery and long-term stability on the-craw. |