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Tests showed that agents like GPT-6 Luna and Claude Opus 5.5 produced incorrect prices even with web search. Effective grounding requires code to write prices into answers, not the model.
- Field
- applying language models
- What they did
- Researchers demonstrated that language models often provide outdated prices from memory even when access to current data is available, and explained that tools are needed for accuracy rather than just data.
- Why it matters
- This is important for businesses and developers as it helps understand why AI agents can make errors in financial questions and how to implement data verification to improve accuracy.
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