PROMPT 3 – La cadena de citas "Elija los 3 conceptos más citados en estos artículos. Para cada concepto:
-¿Quién lo introdujo primero?
-¿Quién lo desafió?
-¿Quién lo refinó?
– ¿Cuál es el consenso actual (si hay alguno)? Muéstrame el linaje intelectual como un árbol
AI
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Analyzing Intellectual Lineage of AI Concepts via Prompting
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Prompt template for document analysis and summarization
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PROMPT 1 – El protocolo de admisión Utilice esto cuando cargue sus documentos por primera vez: "Voy a compartir [X] artículos sobre [tema].
Antes de preguntar cualquier cosa, haz esto: 1. Enumere cada artículo por autor + año + afirmación principal en una oración
2. Agruparlos -
A Prompt for Identifying Contradictions Across Multiple Documents
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PROMPT 2 – El buscador de contradicciones La mayoría de los investigadores pasan por alto esto. Esta indicación no: "En todos los documentos cargados, identifique cada punto donde dos
o más autores se contradicen directamente entre sí. Para cada contradicción:
– Indique ambas -
Using Claude for Academic Research and Literature Analysis
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| ÚLTIMA HORA: Claude ahora puede investigar como un estudiante de doctorado de Stanford. Aquí os dejo los 9 mejores e infalibles prompts de Claude que convierten más de 40 artículos de investigación en revisiones de literatura estructuradas, mapas de conocimiento y lagunas de
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Digital Twins Simulate Bottle Production Before Conveyor
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Scarcity is the new constant in industry. #Sponsored by Siemens.
— Lucian Fogoros (@fogoros) 17 mars 2026
The merge of the physical and digital worlds allows Siemens to simulate every bottle movement before it even hits the conveyor. High-fidelity data from the physical process informs the digital twin, creating a… pic.twitter.com/bkMoqFFrm8Scarcity is the new constant in industry. #Sponsored by Siemens. The merge of the physical and digital worlds allows Siemens to simulate every bottle movement before it even hits the conveyor. High-fidelity data from the physical process informs the digital twin, creating a
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Gemini Excels in Benchmarks, Becoming Top AI for Code
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The ACM Turing Award will be announced tomorrow. Any guesses on who won it?
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Composer Uses RL Self-Summarization to Cut Compaction Error 50%
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We trained Composer to self-summarize through RL instead of a prompt. This reduces the error from compaction by 50% and allows Composer to succeed on challenging coding tasks requiring hundreds of actions.
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Building Reliable Agents for Production Deployment
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💫 New LangChain Academy Course: Building Reliable Agents 💫
— LangChain (@LangChain) 17 mars 2026
Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models.
Add multi-step reasoning, tool… pic.twitter.com/fWt2UhHQEbNew LangChain Academy Course: Building Reliable Agents Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool
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AI Education Market Booms: 85% Teachers, 86% Students Adopt
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85% of teachers and 86% of students used AI in the last school year. The global AI education market will exceed $112 billion by 2034 — up from $7.5B in 2025. Personalised learning at scale isn't a future experiment. It's already in the classroom. #digitalization
→ View original post on X — @svenphilipsen, 2026-03-17 18:00 UTC
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Win $10,000 by Building March Madness Brackets on Replit
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$10,000 cash. For college students.
— Replit ⠕ (@Replit) 17 mars 2026
Takes 30 seconds.
Build your March Madness bracket on Replit (or let AI do it).
One bracket per person.
If your picks win, you win or split the $10K.
No fees. No catch.
Link below ↓ pic.twitter.com/52haq6gKlZ$10,000 cash. For college students. Takes 30 seconds. Build your March Madness bracket on Replit (or let AI do it). One bracket per person.
If your picks win, you win or split the $10K. No fees. No catch. Link below ↓