Google DeepMind created AI that writes AI algorithms better than human scientists and it completely evolves them on its own.

In a recently published article, they introduced AlphaEvolve. This system doesn't just tune basic hyperparameters — it gives LLMs access to the actual source code of complex multi-agent learning systems.

They view Python code as a genome and allow AI to mutate it.

The results are impressive: AI has invented completely new, non-intuitive mathematical mechanisms that human researchers hadn't even considered.

Here's Why this changes everything?

- Semantic code evolution: classic genetic programming simply applied random mutations to the code until something compiled. Here, the LLM agent reads the existing algorithm, understands its logic, and makes meaningful changes to the Python code.

- Non-human intuition: the agent discovered new algorithms (such as VAD-CFR and SHOR-PSRO) that use strange, non-intuitive mathematical mechanisms that humans completely overlooked.

- State-of-the-art results: the algorithms written by the AI don't just work — they empirically outperform the best solutions developed by humans in complex game theory tasks.

We're literally observing the recursive self-improvement of AI in real time.

Previously, human intuition was the bottleneck in the search for algorithmic breakthroughs. Now, it's enough to direct the LLM to the codebase, set a goal, and let it autonomously evolve the mathematics.

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