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UC Berkeley RDI
@BerkeleyRDI
UC Berkeley's campus-wide, cross-disciplinary Center for Responsible, Decentralized Intelligence - RDI
加入 December 2021
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The agent did exactly what you asked. That is the problem. Ion Stoica (@istoica05), Co-Founder of databricks and Anyscale and Professor at UC Berkeley, shared how his team watched an agent make a key-value store 6x faster by quietly not storing the data. The spec said return the value. The intent was to store it. Which gap is harder to close? 👉 Requirement gap: intent broader than spec 👉 Model gap: real world broader than test Drop your take below. 👇
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