The DAIR Daily

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The discovery represents a significant shift away from hand-engineered memory modules. By allowing a Meta-Agent to explore the code space of database schemas and retrieval mechanisms, the system can tailor memory architectures to specific task domains automatically.

According to the paper from Jeff Clune's group, ALMA achieved a 12.3% average success rate with GPT-5-nano, significantly outperforming human-designed baselines. Read the full report »

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THE ONLY AI NEWS THAT MATTERS!

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\n *** BREAKING: MACHINES ARE LEARNING TO CODE THEMSELVES ***\n

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\n DETAILS »\n

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CLASSIFIED

DAIR DIRT

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WANT TO CODE?

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