Monica Cépeda
64.1K posts
@monich16
Ella /she /her #Periodista, #comunicaciónestratégica #sostenibilidad #SarcasmIsMyBrand, opiniones de corazón. ENTP-A Creadora de #ApuestaSostenible https://t.co/Wd7OT9ZoES
Un niño que aprende a leer bien hoy construye las bases para mejores aprendizajes, mejores empleos y mayores ingresos en el futuro. Invertir en lectura, recalca @JaimeSaavedra22, es invertir en capital humano y en el desarrollo sostenible de la persona y los países.
🔴#Urgente Tomas Gálvez ha sido elegido Fiscal de la Nación en propiedad para el periodo 2026-2029
Este artículo argumenta que las escuelas están abordando la educación en inteligencia artificial de forma equivocada al centrarse principalmente en enseñar a usar herramientas como chatbots, diseñar prompts efectivos o evitar errores como las alucinaciones. Este enfoque parece práctico y protector, pero resulta superficial y limitado, ya que no prepara realmente a los niños y jóvenes para interactuar de manera inteligente con la IA. En cambio, los autores proponen priorizar una comprensión profunda y holística: explicar cómo funciona la IA (basada en datos, algoritmos y aprendizaje automático), sus impactos en el aprendizaje, sus sesgos éticos y cuándo usarla o evitarla. El objetivo es fomentar agencia real sobre la tecnología, es decir, que los estudiantes se conviertan en dueños críticos de su potencial en lugar de simples usuarios pasivos. washingtonpost.com/opinions/2026/…
Y así, en 2026, se acabó el capítulo peruano del boom latinoamericano.
💔
🚨BREAKING: Berkeley researchers spent 8 months inside a tech company watching how employees actually use AI. The promise was simple: AI will save you time. Do less. Work smarter. The opposite happened. Workers didn't use AI to finish early and go home. They used it to take on more. More tasks. More projects. More hours. Nobody asked them to. They did it to themselves. The researchers sat inside the company two days a week for 8 months. They watched 200 employees in real time. They tracked work channels. They conducted 40+ interviews across engineering, product, design, and operations. Here's what they found. AI made everything feel faster, so people filled every gap. They sent prompts during lunch. Before meetings. Late at night. The natural stopping points in the workday disappeared. People ran multiple AI agents in the background while writing code, drafting documents, and sitting in meetings simultaneously. It felt like momentum. It felt productive. But when they stepped back, they described feeling stretched, busier, and completely unable to disconnect. 83% said AI increased their workload. Not decreased. Increased. 62% of associates and 61% of entry-level workers reported burnout. Only 38% of executives felt the same strain. The people doing the actual work absorbed the damage while leadership celebrated the productivity numbers. Then came the trap nobody saw coming. When one person uses AI to take on extra work, everyone else feels like they're falling behind. So the whole team speeds up. Nobody formally raises expectations. But the new pace quietly becomes the default. What AI made possible became what was expected. The researchers gave it a name: workload creep. It looks like productivity at first. Then it becomes the new baseline. Then it becomes burnout. AI was supposed to give you your time back. Instead it's eating more of it. And the worst part? You're doing it to yourself. Voluntarily.
