Good old-fashioned AI was doubly doomed: it was both anti-numbers and anti-learning.
RESEARCH
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Agentic AI: From Generation to Autonomous Orchestration
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Agentic AI = layered intelligence. AI/ML → Deep Learning → GenAI → AI Agents → Agentic AI. From: • Data → Decisions
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• Content → Tasks
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• Autonomous, governed systems. The future isn’t just generation.
It’s orchestration + memory + planning + safety. That’s the -
A Prompt Engineering Framework for Synthesizing AI Research
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PROMPT 9 – La prueba del "¿Y qué?" Ejecútalo al final. Siempre. "Imaginemos que tengo que explicarle todo este conjunto de investigaciones a un…
Un no experto inteligente en 5 minutos. Dame:
1. La versión en una sola frase de lo que este campo ha demostrado
2. La única -
Prompt Template for Structuring AI Literature Knowledge Maps
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PROMPT 8 – El constructor de mapas de conocimiento "Crear un mapa de conocimiento estructurado de toda esta literatura. Formato:
– Reclamo central el campo orbita alrededor
– 3-5 pilares de soporte (sub-reclamos bien establecidos)
– 2-3 zonas en disputa (debates activos)
– 1-2 -
Using AI for Systematic Methodological Auditing of Research
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PROMPT 5 – La auditoría metodológica "Compare las metodologías de investigación utilizadas en todos los artículos. Agrupar por: encuestas, experimentos, simulaciones, metanálisis,
estudios de caso. Entonces bandera:
-¿Qué metodología domina este campo y por qué?
-¿Qué -
Using LLMs for Automated Research Gap Analysis
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PROMPT 4 – El escáner de huecos Aquí es donde la cosa se pone espeluznantemente buena: "Con base en todos los artículos subidos, identifique las 5 investigaciones
Preguntas que NADIE ha respondido completamente todavía. Para cada espacio:
– ¿Por qué existe? (¿demasiado -
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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Preserving Figures in AI Chat: A Solution for Scientific Papers
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When you ask ChatGPT, Claude, Gemini about a paper, they strip out the figures and give you prose. Scientists choose to include plots and diagrams for a reason — they are dense and precise. I've cooked a way to preserve them in our chat agent, with architecture diagrams, tables, plots, linked back to the source PDF. How was this not already a thing? tiptreesystems.com/blog/comp…
→ View original post on X — @hugo_larochelle, 2026-03-17 17:50 UTC
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KARL: Knowledge Agents via Reinforcement Learning Research
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"You can think of this as RAG — but like RAG plus plus plus plus plus plus, all the way up to 200 vector database calls." — @jefrankle
, Chief AI Scientist at Databricks. We published new research on KARL — Knowledge Agents via Reinforcement Learning — a RAG agent trained