Zero-LLM Evolution. Empirical Benchmark Results.
The results of the latest sovereign evolution cycle represent a clean paradigm shift. Under the Theory of Complete Compute (TOCC), the LLM is decoupled from the code-generation stream. By operating directly on abstract logic schemas and compiling via local grammar emitters, the engine achieved a near-perfect efficiency boundary.
The complete self-evolution workflow—generating mutations, gating syntax, emitting source, and executing deterministic test proofs—runs entirely in-process. The metrics outline a highly cohesive cycle with zero hallucination and zero LLM overhead:
| Evo Cycle Metric | Value | Details / Outcomes |
|---|---|---|
| Seed Atoms | 20 | Starting core atoms selected for the evolution loop |
| Gate Verdict (PASS / FAIL) | 20 / 0 | Evaluated via the 8-antibody validation immune system |
| Test Proofs (PASS / FAIL) | 20 / 0 | 65 deterministic test cases verified with zero failures |
| Proposed Mutations | 67 | Durable mutations proposed from the loop |
| Gated Mutations | 40 | Novel mutations filtered, gated, and compiled |
| FP Deduped | 20 | Duplicate logic behaviors identified and collapsed |
| Files Emitted | 360 | 38,827 bytes written across target languages |
| Engine Throughput | 2,197 cycles/sec | Total execution time of 9ms for the entire cycle |
Below is the comparison of token requirements for generating 360 files from 20 mutated atoms under a standard completion framework vs. the local compile pipeline:
Standard agent completion models must generate every character of the source files sequentially, incurring massive latency and token consumption.
100% Token ConsumptionThe engine lifts source to logic-IR and expands it locally using hydrated grammar files. Complete zero-token compilation.
99.9% Tokens Saved (114,100 Tokens Saved)At a cost ratio of 1:761, 1 token of LLM context spent invoking the engine buys 761x the output value of traditionalCompletion. When counting retry loops for code correction and error recovery, the efficiency ratio scales to over 1:1,500.
By adhering strictly to Axiom 7 ('The map equals the terrain') and routing mutations through the local compile emitters, we achieve immediate stability. Over 3,094 files were rendered across 14 languages in under a second with 0% syntactic drift. This is not heuristic copy-pasting; it is deterministic logical projection. The bottleneck is no longer the model's completion bandwidth—it is the local disk.