What is GF(3)? Galois Field with 3 elements: {-1, 0, +1}, addition mod 3
Conservation Law:
causality_trit + ergodic_trit + minus_trit ≡ 0 (mod 3)
+1 + 0 + -1 = 0 ✓
| Agent | Trit | Role | What It Does |
|---|---|---|---|
| causality | +1 | PLUS (Generation) | Generates candidate moves, explores possibilities |
| 2-monad | 0 | ERGODIC (Coordination) | Routes moves, filters, maintains rhythm |
| amp | -1 | MINUS (Constraint) | Verifies moves, enforces safety, gates expansion |
- Prevents infinite loops
- Provides novelty and exploration
- Must be balanced by MINUS
- If unchecked: White Hole (explosion, incoherent)
- Routes between PLUS and MINUS
- Maintains timing and rhythm
- Holds context window
- If bottlenecked: System gridlocks, timing skew
- Verifies coherence
- Enforces invariants
- Prevents corruption
- If exhausted: System accepts invalid moves, enters BH
Error: jsonrpc2: protocol error: read |0: file already closed
Root Causes (in probability order):
-
PLUS Overflow (Most Likely)
- causality generating faster than 2-monad routing
- Indicator: Memory/queue pressure signals
- Fix: Strategy B (throttle PLUS) or Strategy A (boost ERGODIC)
-
ERGODIC Starvation
- 2-monad routing slower than causality rate + amp processing
- Indicator: Growing latency from 2-monad
- Fix: Strategy A (increase 2-monad workers/queue)
-
MINUS Exhaustion
- amp verification budget depleted
- Indicator: Verification failure signals
- Fix: Strategy C (increase amp budget)
-
Semantic Violation
- One skill violates Bridge Type coherence
- Indicator: Neighbor-awareness constraints fail
- Fix: Debug specific skill, reduce strictness, or Strategy D (rebalance)
{
"2-monad": {
"workers": 4, // 2→4
"queue_depth": 1000, // 500→1000
"filter_timeout_ms": 200 // 100→200
}
}Use when: latency from 2-monad is growing Cost: More memory, slightly higher latency
{
"causality": {
"generation_rate": 5, // 10→5
"batch_size": 5, // 10→5
"backpressure_enabled": true // false→true
}
}Use when: Memory/queue overflow detected Cost: 2x slower total time, natural rhythm restored
{
"amp": {
"verification_budget": 500, // 100→500
"parallel_verifiers": 4, // 2→4
"proof_cache_size": 10000 // 1000→10000
}
}Use when: Verification failures from amp detected Cost: Higher CPU, larger memory for proof cache
{
"causality": {"generation_rate": 8, "batch_size": 8},
"2-monad": {"workers": 3, "queue_depth": 750},
"amp": {"verification_budget": 300, "parallel_verifiers": 3}
}Use when: Multiple agents showing issues Cost: Moderate across all dimensions
# Step 1: Run diagnostic
./scripts/diagnose_gf3_protocol_error.sh .local/share/ies/logs/crush_latest.log
# Step 2: Look for root cause
# Output will show one of:
# - "PLUS OVERFLOW" → Use Strategy B or A
# - "ERGODIC STARVATION" → Use Strategy A
# - "MINUS EXHAUSTION" → Use Strategy C
# - "SEMANTIC VIOLATION" → Use Strategy D or debug skill
# Step 3: Apply fix
cp .claude/mcp-gf3-fixes.json#strategy_X .claude/mcp.json
# Step 4: Retest
npx ai-agent-skills install plurigrid/asi --agent crush
# Step 5: Verify success
grep "protocol error\|json" .local/share/ies/logs/crush_latest.log
# (Should be empty if successful)- Monotonic progress: 0 → 315 skills
- No backpressure signals
- No memory/queue warnings
- Consistent latency across agents
- No protocol errors
- Symmetry: generation ≈ verification + routing
- Stalled progress (stuck at skill N)
- Memory/queue warnings
- Growing latency
- Backpressure signals
- Protocol error drops connection
- Asymmetry: generation >> verification (or vice versa)
- System crashes at skill ~N with protocol error
- Cannot prove Bridge Type because system doesn't reach 315 skills
- Formalization would be meaningless
- System successfully reaches 315 skills
- All 315 skills installed, verified, coherent
- GF(3) conservation maintained throughout
- Ready for Phase A.1: Formalize the working system
- Bridge Type formally proven in Lean 4
- Ecosystem proven to satisfy Bridge Type
- Three mechanisms formalized (Valve/Filter/Resurrector)
- Deployed in music-topos, emmy-sicm, UNWORLD federation
In terms of rates (per second):
rate(causality generates moves)
- rate(amp verifies moves)
= rate(2-monad routes moves)
10 moves/sec - 7 verified/sec ≈ 3 routed/sec (balanced)
If 10 - 0 = 10 → queue grows unbounded → PLUS OVERFLOW
If 10 - 7 = 3 but 2-monad can only route 2 → ERGODIC bottleneck
If 0 - 0 = 0 but nothing happens → MINUS exhausted or skill complete
- Diagnostic script executed successfully
- Root cause identified (PLUS/ERGODIC/MINUS/Semantic)
- Appropriate fix strategy chosen
- MCP configuration updated
- crush validation rerun
- All 315 skills installed without error
- No protocol error in logs
- GF(3) conservation verified (trit sum = 0 throughout)
- Operational metrics documented
- Commit success report
- Ready for Phase A.1 (formal Lean 4)
GF(3) conservation is the operational manifestation of Bridge Type coherence.
- Theoretically: Bridge Type = verified transition between extremes
- Operationally: GF(3) = balance that prevents White Hole (PLUS excess) and Black Hole (MINUS excess)
- When GF(3) is conserved, the system stays alive (rhythmic pulsing)
- When GF(3) is violated, the system dies (protocol error drops connection)
Phase A.0 restores operational life. Phase A.1 formalizes why it works.