Report
AlphaEvolve — Early Generations
Open AlphaEvolve infrastructure and scaffolds shipped; recorded evolutionary runs never progressed past early generations before the project paused.
Verdict Negative
- Published
- Jul 2025
- Verdict
- Negative
- Verification
- Verified
- Question
- What exists beyond the AlphaEvolve clone headline: runnable search infrastructure or demonstrated discovery?
- Intent
- Separate shipped evolutionary machinery from unearned claims about discovered programs.
- Method
- Audit public scaffolds, persistence machinery, evaluators, and recorded run depth before assigning the verdict.
- Next test
- Revive one benchmark with sealed lineage, evaluator fixtures, and a baseline before promoting any discovered program.
AlphaEvolve — Early Generations
Question
What exists beyond the AlphaEvolve clone headline: runnable search infrastructure or demonstrated discovery?
Context
AlphaEvolve is an open implementation of DeepMind’s evolutionary coding-agent pattern and the Club B propose/vary scaffold in the Recursive Self Improvement Lab: island-model populations, LLM mutation and crossover, sandboxed evaluation, and SQLite lineage. The quality bar is not whether the architecture is interesting; it is whether any recorded run discovered something worth promoting under an external evaluator the searcher cannot rewrite.
flowchart LR
pop["Island population"]
mutate["LLM mutate / crossover"]
eval["Sandboxed evaluator"]
persist["SQLite lineage"]
pop --> mutate --> eval --> persist --> pop
Findings
- The public engine and problem scaffolds exist: packing 26 circles in a unit square, 10-dimensional Rastrigin, kissing spheres, and small matrix multiplication.
- Selection and persistence machinery (tournament / roulette / rank, SQLite generations) is in place so lineage can survive restarts.
- Recorded runs never progressed past early generations before the project paused — no discovered-program benchmarks are claimed.
- What publishes honestly is infrastructure and reference design; competitive results wait on a revival with sealed run cards.
- For RSI Lab purposes this is a productive negative: evolutionary proposal machinery without held-out inheritance is not recursive self-improvement.
Method
LLM-driven evolutionary search under a sandboxed evaluator. Public surfaces are the open repository and strategy notes on elitism, selection pressure, and exploration. Verdict assignment required recorded run depth, not README aspiration.
Limits
- No competitive discovered-program benchmark is claimed.
- Early generations validate scaffolding, not search quality.
- A revival needs a sealed run card, evaluator fixtures, a baseline, and a promotion gate independent of the mutating model.
- Island-model activity is not archive-conditioned inheritance in the Wave-Causal F3/F4 sense.
Artifact
Repository: a3fckx/alphaevolve. No sealed notebook accompanies this status writeup.