Topics: AI | Science & Research | Startups | Technology
Risto Miikkulainen from UT Austin and Cognizant explains how evolutionary AI creates surprising solutions by evolving populations of neural networks.
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Evolution strategy can optimise billions of parameters without gradient descent, enabling fine-tuning of LLMs through population-based search.
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Neuroevolution thrives on diversity to discover creative trading strategies, scientific breakthroughs, and decision-making solutions humans wouldn't anticipate.
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Multi-agent systems combining evolutionary optimisation with LLMs could solve continual learning and metacognition challenges missing in current architectures.
"Evolution thrives on diversity." - Risto Miikkulainen