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Most AIs struggle with reading clocks, misreading faces 75% of the time
A team of researchers at Edinburgh University tested some top multimodal large language models to see how well they could answer questions based on images of clocks...
Facepalm: Generative AI tools are able to perform the sorts of tasks that once seemed the stuff of sci-fi, but most of them still struggle with many basic skills, including reading analog clocks and calendars. A team of researchers at Edinburgh University tested some top multimodal large language models to see how well they could answer questions based on images of clocks and calendars. The findings are being reported in a peer-reviewed paper that will be presented at the Reasoning and Planning for Large Language Models workshop at The Thirteenth International Conference on Learning Representations (ICLR) in Singapore on April 28.
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