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Why AI Calls Everything a "Prediction" (Even Images)
Why does machine learning use the word "task" to classify what a model does? And why are model outputs called "predictions" even when generating an image or synthesizing speech? This episode unpacks two deceptively simple questions that expose the hidden mathematical framework unifying all of AI — from tumor segmentation to Shakespearean sonnets. We explore Hugging Face's task taxonomy, the tension between fixed categories and real-world use cases, and why calling a generated cat a "prediction" is both scientifically honest and subtly misleading. If you've ever felt confused by AI…
The skinny
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