{"ok":true,"nota":{"id":"e64b0b0e549b386a","slug":"seis-modelos-de-ia-distintos-cometen-los-mismos-errores-asi-que-en-la--e64b0b","titulo":"Seis modelos de IA distintos cometen los mismos errores, así que en la práctica son solo dos","resumen":"Un analista probó seis modelos abiertos de inteligencia artificial con 1.500 preguntas de examen. Encontró una fórmula que estima cuántas opiniones realmente independientes da un grupo de modelos al consultarlos a todos juntos.","fuente":"tds","fuenteNombre":"Towards Data Science","color":"#2d6a3e","autor":"Utkarsh Mangal","url":"https://towardsdatascience.com/your-six-ai-models-are-really-two-the-math-of-correlated-mistakes/","imagen":"/hoy/portada/e64b0b0e549b386a","tema":"tecnologia","subtemas":["modelos de lenguaje","errores correlacionados","consenso de ia","evaluacion de modelos"],"entidades":["Towards Data Science"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-23T11:00:00.000Z","indexTs":"2026-10-23T12:03:18.527Z","hash":"9313d8d234469c987433a65bc0b35cc53a1754bc012c833d469aebba7be8cdd5","tsa":{"time":"Oct 23 12:04:18 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"motor","registro":"hallazgo","porQueImporta":"Mucha gente cree que consultar varias IA y quedarse con la respuesta de la mayoría da más seguridad. Según el análisis, si los modelos fallan en las mismas preguntas, el voto no suma tanto como parece. Para quien usa estas herramientas en el trabajo o para estudiar, conviene desconfiar cuando todas coinciden, porque esa coincidencia puede venir de un error compartido.","quienFirma":"Towards Data Science","confianza":"divulgacion","consulta":{"pregunta":"¿Le haría caso a una respuesta si varias IA distintas coinciden?"}},"sello":{"hash":"9313d8d234469c987433a65bc0b35cc53a1754bc012c833d469aebba7be8cdd5","sello":"266deb4e140675eca456141ebf45e15180b8c844004acd956bb0c87ddda63723","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6577534,"aleatorio":"c9e07c4a7baaade0e8acc56f64536cbb18d3ad1e3d8c1ae5596009491ca1c705","tiempo":"2026-10-23T12:04:00.000Z"},"nist":{"cadena":2,"pulso":1995961,"salida":"F41B5D0D554B9AA93D86596521336D547B043E4F52A3C280F10F60EAE511ED1743D3E56670D4E53EB431734AC5B1B8CB5DCF96D1DB26F562D058604979415129","tiempo":"2026-10-23T12:03:00.000Z"},"noAntes":"2026-10-23T12:04:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 23 12:04:18 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Your Six AI Models Are Really Two: The Math of Correlated Mistakes","descripcion":"Ask several models the same question, take a vote, and you get fewer independent opinions than you paid for. One formula says how many, and I checked it on six open models and 1,500 exam questions. The post Your Six AI Models Are Really Two: The Math of Correlated Mistakes appeared first on Towards Data Science .","pubDate":"Fri, 23 Oct 2026 11:00:00 GMT","url":"https://towardsdatascience.com/your-six-ai-models-are-really-two-the-math-of-correlated-mistakes/"},"indexado":"2026-10-23T12:03:18.527Z"}}