LATIDIA · Investigación

IA de mundo abierto: una historia de tres requisitos

arXiv:2610.20782v1 Tipo de anuncio: nuevo Resumen: El mundo cerrado pide a la IA competencia especializada y le permite fabricar los datos iid que su teoría asume: un criterio fijo licencia la recopilación de ejemplos hasta que la tarea i

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arXiv:2610.20782v1 Announce Type: new Abstract: The closed world asks AI for specialized competence and lets it manufacture the iid data its theory assumes: a fixed criterion licenses collecting examples until the task is covered. The open world asks for versatility --- taking up tasks a machine was not built for, from few examples and with little prior from a human designer --- and offers data that is grouped, not shuffled. Its tasks are not known in advance, so a machine must do inference-time learning (1st requirement). Modeling tasks as sharing latent factors and decomposing the training objective, we derive two more: a *rich representation*, retaining more than iid generalization requires,