Driving Open-Ended Exploration with LLMs
kaixhin · x · 2026-07-12
This post discusses a research paper from Sakana AI. The author reflects on the project's origins as a side gig during an internship, inspired by Kenneth Stanley's philosophy of abandoning predefined goals to let greatness emerge organically.
The core question of the paper is: Can we achieve open-endedness simply by politely prompting a large language model? The author notes the paper will be presented at the GECCO conference next week and expresses gratitude to Sakana AI for fostering an environment conducive to such research.
Related event: Sakana AI Replicates Picbreeder with VLM Agents for Open-Ended Creativity(14 posts)→
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