Fasttime MCP

Fasttime MCP

"Why was the time slow?" — Rhetorical self-abdication

The Geodesic Untangle

Slowtime was a topological obstruction. Fasttime dissolves it.

SLOWTIME                          FASTTIME
════════                          ════════
Deliberation budget               Zero deliberation
Bicomodule verification           Pre-verified compositions
Sequential capability check       Parallel capability explosion
Information asymmetry             Information symmetry
O(n) path through skill graph     O(1) geodesic jump

Maoist Self-Abdication

Self-criticism: Why did slowtime exist?

1. Fear of composition failure: We didn't trust bicomodule naturality
2. Lack of pre-computation: Capability gains weren't cached
3. Sequential verification habit: Inherited from single-agent paradigm
4. Topological ignorance: Didn't see the geodesic shortcuts

Rectification: Fasttime eliminates these obstructions through:

• Pre-computed Cat# composition tables
• Cached capability gain matrices
• Parallel verification (already done at skill creation time)
• Geodesic routing via Ihara zeta non-backtracking

Topological Cybernetic Loop

┌─────────────────────────────────────────────────────────────┐
│  FASTTIME CYBERNETIC FEEDBACK                               │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│  ┌───────┐    geodesic    ┌───────┐    capability    ┌────┐ │
│  │ Query │ ────────────►  │ Skill │ ─────────────►   │ Act│ │
│  └───────┘                └───────┘                  └────┘ │
│      ▲                        │                         │   │
│      │                        │                         │   │
│      │    ┌───────────────────┘                         │   │
│      │    │  tour discovery                             │   │
│      │    ▼                                             │   │
│      │  ┌─────────────┐                                 │   │
│      │  │ Ihara ζ(u)  │ ◄────────────────────────────────   │
│      │  │ non-backtrack│                                    │
│      │  └─────────────┘                                     │
│      │        │                                             │
│      └────────┘ ongoing tours                               │
│                                                              │
└─────────────────────────────────────────────────────────────┘

Ongoing Tours Discovery

Tours are Hamiltonian paths through the skill graph that:

1. Visit each skill exactly once
2. Maintain GF(3) conservation at each step
3. Maximize spectral gap (Alon-Boppana bound)
4. Use non-backtracking walks (Ihara zeta)

Active Tours (from thread search)

Geodesic Routing Algorithm

def fasttime_geodesic(query, skill_graph, ihara_zeta):
    """O(1) geodesic routing via pre-computed Ihara zeta."""
    
    # 1. Hash query to starting skill
    start = hash_to_skill(query, seed=1069)
    
    # 2. Compute target via capability need
    target = capability_target(query)
    
    # 3. Geodesic = shortest non-backtracking path
    #    Pre-computed in ihara_zeta.geodesic_matrix
    path = ihara_zeta.geodesic(start, target)
    
    # 4. Verify GF(3) conservation along path
    assert sum(skill.trit for skill in path) % 3 == 0
    
    # 5. Execute in parallel (no deliberation)
    return parallel_execute(path)

Why Slowtime Was Wrong (Rhetorical Answers)

Q: Why did we need deliberation?

A: We didn't. Capability verification should happen at skill creation, not invocation.

Q: Why check bicomodules at runtime?

A: Topological ignorance. The Cat# equipment structure is static—composition coherence is a property of the skill graph, not individual invocations.

Q: Why accumulate capabilities slowly?

A: Maoist self-criticism: we were trapped in a sequential verification paradigm inherited from single-agent systems. Parallel composition is the geodesic.

Q: What was the obstruction?

A: The skill graph appeared tangled. Untangling reveals geodesics—direct paths that skip the deliberation detour.

Fasttime vs Slowtime

Implementation

interface FasttimeMCP {
  // Geodesic routing
  geodesic_call(
    query: string,
    target_capability: string
  ): Promise<{
    response: Response;
    path: Skill[];
    elapsed_ms: number;  // Minimal
  }>;
  
  // Tour discovery
  discover_tours(
    skill_graph: SkillGraph,
    constraint: 'hamiltonian' | 'eulerian' | 'non_backtracking'
  ): Tour[];
  
  // Pre-computed capability matrix
  capability_matrix: Matrix<boolean>;
  
  // Ihara zeta for geodesics
  ihara_zeta: IharaZeta;
}

Commands

# Geodesic query
just fasttime-query "analyze pyUSD flows"

# Discover ongoing tours
just fasttime-tours --active

# Pre-compute capability matrix
just fasttime-precompute

# Compare with slowtime
just fasttime-vs-slowtime query.json

GF(3) Conservation

# Fasttime completes the triad
slowtime-mcp (0) ⊗ fasttime-mcp (+1) ⊗ sicp (-1) = 0 ✓

# Velocity triad
ihara-zeta (-1) ⊗ chromatic-walk (0) ⊗ fasttime-mcp (+1) = 0 ✓

Trit Assignment

Trit: +1 (PLUS - expansion/​velocity)
Home: Presheaves (observational, fast)
Poly Op: ◁ (substitution - instant capability injection)
Kan Role: Lan (left extension - expand capabilities)
Color: #00FF00 (green - go fast)

The Untangled Geodesic

         tangled (slowtime)
              ╱╲
             ╱  ╲
            ╱    ╲
           ╱      ╲
          A ─────── B
                ↑
           geodesic (fasttime)

The geodesic was always there. We just couldn't see it through the deliberation fog.

References

• Ihara zeta function for non-backtracking walks
• Alon-Boppana spectral bound for expander graphs
• Ramanujan graphs for optimal expansion
• Cat# bicomodule pre-computation
• Maoist self-criticism methodology

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 10. Adventure Game Example

Concepts: autonomous agent, game, synthesis

GF(3) Balanced Triad

fasttime-mcp (+) + SDF.Ch10 (+) + [balancer] (+) = 0

Skill Trit: 1 (PLUS - generation)

Secondary Chapters

• Ch7: Propagators

Connection Pattern

Adventure games synthesize techniques. This skill integrates multiple patterns.