Sakana AI
Sakana AI
Sakana AI recreated the Picbreeder collaborative image evolution experiment using vision-language model agents in collaboration with MIT and NYU, where agents explored and evolved images without predefined objectives. Diverse agent populations achieved semantic diversity approaching human-created archives, but agents became trapped in local patterns and made smaller conceptual leaps than humans. The research reveals that current AI systems lack the human capacity to recognize unexpected discoveries and sustain creative pursuits through larger conceptual shifts.
