Schmidhuber's foundational work outlined as shaping Sakana's direction
2Sep 24 2:06 PM · 2d ago · 1 article · 1 source · development 2 of 2
Coverage details that Schmidhuber's ideas from the 1990s on deep learning and world models, and his 1987 thesis on meta-learning and recursive self-improvement, have directly informed Sakana projects like the Darwin Gödel Machine and The AI Scientist. Sakana aims to gather top experts in Tokyo to build self-reinforcing research loops.
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“The future of intelligence is not just language; it is physical AI powered by world models. Sakana AI is uniquely positioned to reclaim Japan's legacy of innovation by building autonomous systems that can truly understand, simulate, and interact with the physical universe.”