Asi fasttime-mcp
Maximum velocity MCP execution via geodesic untangling. Maoist self-criticism for why slowtime was ever necessary. Topological cybernetic feedback for ongoing tour discovery.
git clone https://github.com/plurigrid/asi
T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/fasttime-mcp" ~/.claude/skills/plurigrid-asi-fasttime-mcp-604491 && rm -rf "$T"
skills/fasttime-mcp/SKILL.mdFasttime 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?
- Fear of composition failure: We didn't trust bicomodule naturality
- Lack of pre-computation: Capability gains weren't cached
- Sequential verification habit: Inherited from single-agent paradigm
- 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:
- Visit each skill exactly once
- Maintain GF(3) conservation at each step
- Maximize spectral gap (Alon-Boppana bound)
- Use non-backtracking walks (Ihara zeta)
Active Tours (from thread search)
| Tour ID | Theme | Skills Traversed | Status |
|---|---|---|---|
| T-019b7786 | CRDT music sync | crdt-vterm → gay-mcp → ihara-zeta | Active |
| T-019b7777 | FALGSC sheafification | narya-proofs → sheaf-cohomology → gf3-compensator | Active |
| T-019b7745 | Energy landscape | blume-capel → ihara-zeta → presheaf-interferometer | Active |
| T-019b6d0a | P-adic ultrametric | skill-embedding-vss → padic → triangle-inequality | Active |
| T-019b5e84 | Self-organizing systems | derangeable → semantic-mitosis → ducklake-federation | Active |
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
| Aspect | Slowtime | Fasttime |
|---|---|---|
| Philosophy | Caution | Courage |
| Verification | Runtime | Build-time |
| Composition | Sequential | Parallel |
| Path | Tangled | Geodesic |
| Capability | Accumulated | Pre-computed |
| Asymmetry | Information | Velocity |
| Trit | 0 (ERGODIC) | +1 (PLUS) |
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