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@kaixhin
Researcher, programmer, DJ, transhumanist. Now at @SakanaAILabs 👾🧠🦾🐟; previously Imperial College, DM, FAIR, Twitter Cortex, MSR, NNAISENSE, Araya
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A user said on October 4 they were in Osaka for the conference and looked forward to discussing NeuroAI.
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A post shares a new paper from Google DeepMind and collaborators across computer science, neuroscience and philosophy.
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A post quips that image generation belongs in the “transformer hole.”
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Sakana AI says the group explores alternatives to mainstream AI, targeting gaps between artificial and biological intelligence in data efficiency, energy use and generalization.
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The lab’s local-learning approach draws on distributed optimization and NeuroAI. It targets a limitation Sakana AI describes in predictive coding: learning signals struggle to reach internal layers in deep networks.
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The quip replies to a post quoting Demis Hassabis’s 2025 hope that AI could one day help cure all disease.
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Georgia Chalvatzaki shares record submissions and final acceptance outcomes.
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Sakana AI Labs researcher shares experiments on long-running agents for edge devices.
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Kai Arulkumaran and Llion Jones will discuss bridging neuroscience and machine learning in Osaka.
