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Very interesting that the LLM weights are co-evolved and reasoning skills improve!
Some cool optimisations here: MAP elites, island models to prevent premature convergence & fast rejection of bad candidates.

What's particularly interesting is the meta level insight: The system discovered scipy.optimize.SLSQP for circle packing - a completely different algorithmic paradigm than it started with. It's genuinely discovering new approaches, not just parameter-tuning.

Sakana.ai improved on this by honing in on sample efficiency iirc with shinkaevolve (which is open source and not an ai slop project)