Ask AI what goes with chicken and the answer depends on whether it learned from recipes or molecules
With "Epicure," London-based startup Kaikaku.AI presents three AI models that are the first to clearly separate whether an ingredient fits a recipe or is chemically related. Trained on 4.14 million recipes in seven languages and the FlavorDB flavor database, each variant returns different recommendations. The purely chemistry-based model even classifies taste and nutritional values better than the recipe-based alternatives, despite never seeing that information directly.<br /> The article Ask AI what goes with chicken and the answer depends on whether it learned from recipes or molecules appeared first on The Decoder. [...]
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Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Coven of the Chicken Foot is the debut game from Naughty Dog alum Bruce Straley's indie studio
Coven of the Chicken Foot has a lot of things going for it already, in my book. It stars a hero rarely seen in video games, an elderly woman, and it has gorgeous storybook-style art in a lush fantasy [...]
One AI module faked 86% of a pipeline's accuracy gains by feeding another the answers
A retrieval-augmented generation (RAG) system is built to answer strictly from the documents it retrieves. But when engineers optimize these AI pipelines end-to-end, the reader module can learn a shor [...]
