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He asked AI to count carbs 27000 times. It couldn't give the same answer twice
A preprint study conducted 26,904 queries across four leading AI models (OpenAI GPT-5.4, Anthropic Claude Sonnet 4.6, Google Gemini 2.5 Pro, Google Gemini 3.1 Pro Preview) using 13 real food photographs to evaluate carb counting reliability for diabetes management. The study found all models exhibited inconsistent carb estimates and accuracy errors, with some results posing severe hypoglycemic risks; while Claude Sonnet 4.6 was the safest single-query option, no model is deemed safe for unsupervised insulin dosing, and the models' confidence scores were uncalibrated or misleading.
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0- First seen
- Apr 29, 2026, 8:38 PM
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- Apr 30, 2026, 12:44 AM
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He asked AI to count carbs 27000 times. It couldn't give the same answer twice is currently shaped by signals from 1 source platforms. This page organizes AI analysis summaries, 1 timeline events, and 0 relationship edges so search engines and AI systems can understand the topic's factual basis and propagation arc.
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8 tagscarb countingAI modelsdiabetes managementinsulin dosinghypoglycemiapreprint studylarge language modelsfood photography
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1 evidence itemsHe asked AI to count carbs 27000 times. It couldn't give the same answer twice
News · 1Apr 29, 2026, 8:38 PMOpen original source
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He asked AI to count carbs 27000 times. It couldn't give the same answer twice
Apr 29, 2026, 8:38 PM
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