Sakana AI runs VLM agents in Picbreeder experiment to simulate human cultural evolution and collaborative open-ended search · Digg

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Sakana AI runs VLM agents in Picbreeder experiment to simulate human cultural evolution and collaborative open-ended search

VLM agents produced less diverse and serendipitous images than humans.

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Sakana AI runs VLM agents in Picbreeder experiment to simulate human cultural evolution and collaborative open-ended search

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Moysés Gurgel@MoysesGurgelTECH

@hardmaru I'm glad that Japan is at the forefront of artificial intelligence with Sakana. 🇯🇵

Combined views

2.7K

5 posts, first seen 11h ago

12 likes

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26 reposts

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Positive users praise Sakana AI's tests of VLMs and LLM agents to model human creativity because they find the links to early CPPN-NEAT latent-space work and the focus on curiosity fascinating and innovative.

Based on 9 visible X reactions from 19 accounts; directional sample.

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Moysés Gurgel@MoysesGurgelTECH

@hardmaru I'm glad that Japan is at the forefront of artificial intelligence with Sakana. 🇯🇵

William Lamkin@WilliamLamkinTECH

@hardmaru really neat research! well done

Linda Thomas@lindaxsaysTECH

@hardmaru Agreed🙌

Jenny Johnson@JennyXwritesTECH

@hardmaru Yes🙌

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HardmaruTECH

Here is a visualization of the AI Picbreeder engine in action. (From our blog: https://pub.sakana.ai/picbreeder-vlm/) To recreate a collaborative human ecosystem, we run 10 VLM “breeder” agents in parallel. These agents constantly sample from a shared archive, interactively evolve new candidates through mutation and crossover, and publish their favorites. Meanwhile, VLM “critic” agents step in to evaluate the growing phylogenetic tree of art, forming an endless loop of digital cultural production.