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Even state-of-the-art LLMs like GPT-5.2 falter in LakeQA, scoring just 18.37% on a benchmark that demands both searching and multi-hop reasoning.
Fast branching in DBMSes can lead to reading speeds that are 4000x slower as branches deepen, exposing a critical design flaw for agentic applications.
