Database vendors including AWS and Microsoft are building LLM-powered natural language-to-SQL tools to make querying accessible to non-specialist users. However, researchers warn that these systems can generate syntactically correct but semantically incorrect queries, reflecting a fundamental tension between natural language ambiguity and SQL's precision requirements.
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Database world trying to build natural language query systems again – this time with LLMs
AWS and Microsoft are racing to commercialize LLM-powered natural language-to-SQL tools, but researchers are exposing a critical vulnerability: these systems excel at syntactic correctness while being blind to semantic errors, risking silent data misinterpretations at scale.
Wednesday, April 22, 2026 12:00 PM UTC2 MIN READSOURCE: The RegisterBY sys://pipeline
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