Pay attention to this one if you build multi-agent systems. Coordination is as important as prompts or agent architecture. Multi-agent LLM systems fail in production at rates between 41% and 87%. The majority of those failures are coordination defects, not base-model
@dair_ai
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Microsoft Research Paper on Agent-Based Interpretability for AI
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NEW paper from Microsoft Research. (bookmark it) The entire interpretability literature is built around human readers. As more analysis gets delegated to agents, the right target of interpretability shifts. This paper is a recipe for designing tools that agents can actually
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New Microsoft Research Paper on Long-Horizon Agent Generalization
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NEW paper from Microsoft Research. Nice study on long-horizon agent generalization. (bookmark it) The team runs a study where the only variable is task horizon length. They use the same decision rules, reasoning structure but different sequence length to the goal. The main
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Meta FAIR Autodata: Agentic System Builds Training and Eval Data Autonomously
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Banger paper from Meta FAIR. They introduce Autodata, an agentic data scientist that builds high-quality training and evaluation data autonomously. The headline result: on a CS research QA task, an Agentic Self-Instruct loop produces a 34-point gap between weak and strong
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Wiki-Builder Plugin Available on GitHub via DAIR Academy
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Find the wiki-builder skill here: https://
github.com/dair-ai/dair-a
cademy-plugins/tree/main/plugins/wiki-builder
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New Skill Released to Build LLM Wikis with AI Agents
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We have released a little skill to help you build LLM Wikis with your agents.
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Wiki-Builder Plugin Available on GitHub for Developers
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Find the wiki-builder skill here: https://
github.com/dair-ai/dair-a
cademy-plugins/tree/main/plugins/wiki-builder
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New Skill Released to Build LLM-Powered Wikis
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Releasing a skill to help build LLM Wikis. https://
x.com/omarsar0/statu
/omarsar0/status/2050963667190227350
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Top AI Papers of the Week: Agents, MAS, and Agentic Models
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The Top AI Papers of the Week (April 26 – May 3) – Latent Agents
– RecursiveMAS
– OneManCompany
– AgenticQwen-30B-A3B
– Agentic World Modeling
– Agentic Harness Engineering
– From Skill Text to Skill Structure Read on for more: -
Contextual Agentic Memory Is Just Lookup Not True Consolidation
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// Contextual Agentic Memory is a Memo, not True Memory // Most agent memory today isn't memory. They are more like memos. A new paper argues that vector stores, RAG buffers, and scratchpads implement lookup, not consolidation. Agents accumulate notes indefinitely without ever