{"ok":true,"nota":{"id":"31c9028e05fe9234","slug":"una-propuesta-de-inteligencia-artificial-de-infraestructura-para-unir--31c902","titulo":"Una propuesta de inteligencia artificial 'de infraestructura' para unir modelos especializados, sin datos veri","resumen":"Un artículo describe HANU, un marco conceptual que busca coordinar varios sistemas de inteligencia artificial especializados para apoyar la investigación. No presenta resultados experimentales en el texto disponible.","fuente":"zenodo","fuenteNombre":"Zenodo · Investigación abierta","color":"#1682d4","autor":"Priyansh, Praneet","url":"https://doi.org/10.5281/zenodo.20159819","imagen":"/hoy/portada/31c9028e05fe9234","tema":"tecnologia","subtemas":["inteligencia artificial","verificacion de modelos","investigacion cientifica","propuesta conceptual"],"entidades":[],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-20T05:36:35.000Z","indexTs":"2026-10-22T22:31:26.228Z","hash":"b6a52f28b2628aaaae5d5c10a7a0aa4c07cfc7d39f5f692fa9af0f3f215933be","tsa":{"time":"2026-10-22T22:32:23.484Z","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Es una propuesta de diseño y no un hallazgo comprobado: describe cómo podría funcionar una capa de verificación para varios modelos, pero no muestra que lo haga. Para quien usa herramientas de IA en el trabajo o en la universidad, la discusión sobre cómo validar lo que generan esos sistemas sí es relevante. Lo que falta es evidencia de que la idea funcione más allá del papel.","quienFirma":"Autor individual no identificado en la fuente","confianza":"preprint","consulta":null},"sello":{"hash":"b6a52f28b2628aaaae5d5c10a7a0aa4c07cfc7d39f5f692fa9af0f3f215933be","sello":"26bd86ce4befcf83aef6cc9d3f8aa8dd7593d9f7dd861050817e1ee3192033b4","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6575910,"aleatorio":"ad632c470ba8c968ea920b116993e6a501688139a43318de64f5a7ea72e81de2","tiempo":"2026-10-22T22:32:00.000Z"},"nist":{"cadena":2,"pulso":1995154,"salida":"A32727015042185E787530FED53F828C26131B55C644F3F364155FFBAB02AAA2930B78FFEE6913417A86FA34480E1F05FB9B4984B59D1A0E007BB8E6E3A95F8F","tiempo":"2026-10-22T22:31:00.000Z"},"noAntes":"2026-10-22T22:32:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"2026-10-22T22:32:23.484Z","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"HANU","descripcion":"<p>The rapid expansion of artificial intelligence systems has led to the proliferation of narrowly specialized models that operate in isolation, limiting knowledge transfer, reproducibility, and long-term human&ndash;AI collaboration. This paper proposes HANU (Human-Aligned<br>Neural Utility), a research-centric artificial intelligence framework designed to function as a<br>foundational cognitive infrastructure that supports, validates, and powers multiple domainspecific AI systems.<br>Unlike task-specific models, HANU is conceptualized as a modular, verification-oriented<br>intelligence layer focused on structured reasoning, research synthesis, result generation, and<br>ethical alignment. HANU is not positioned as an autonomous decision-maker or replacement for human researchers. Instead, it serves as a cognitive amplifier that assists in hypothesis formulation, literature synthesis, ex","pubDate":"2026-10-20T05:36:35Z","url":"https://doi.org/10.5281/zenodo.20159819"},"indexado":"2026-10-22T22:31:26.228Z"}}