NEW paper from Microsoft Research. If you care about training computer-use agents, this is one to keep. (bookmark it) The team builds 1,000 synthetic computers (each with realistic directory structures, documents, and artifacts) then runs long-horizon simulations on top of
@dair_ai
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OCR-Memory: Novel Approach to Long-Horizon Agent Memory Storage
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// OCR-Memory // Well this is a unique approach to store memory for long-horizon agents. Most of the agent memory systems compress trajectories into text summaries and hope the model remembers what matters. But that's where the information loss hides. Long-horizon agents need
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Latent Agents: Distilling Multi-Agent Debate Into Single LLM
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// Latent Agents // Multi-agent debate makes models reason better. It also burns tokens generating long transcripts before any answer comes out. This new research distills the entire debate into a single LLM. Latent Agents uses a two-stage fine-tuning pipeline: the model first
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Cold Agent Routing Failures in Shared Host Networks
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Pay attention to this one, AI devs, especially if you're thinking about agentic commerce or any agent network where many agents share hosts. A correct route to a cold agent is still a failed request from the user's perspective. That's the whole game. This new paper studies
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Skill Retrieval Augmentation for Agentic AI Systems
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// Skill Retrieval Augmentation for Agentic AI // Great read for AI devs. (bookmark it) It's on finding efficient ways to incorporate skills for agents. The work introduces Skill Retrieval Augmentation (SRA) and SRA-Bench: 26,262 skills, 636 gold skills, 5,400
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Live Session on Building LLM Knowledge Bases Tomorrow
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Live session on how to build LLM knowledge bases tomorrow: https://
academy.dair.ai/dashboard/even
ts/cmnivyzyp001n04k1rnozju2n
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Multi-Agent Systems: Dynamic Labor Markets Over Static Org Charts
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Pay attention to this one, AI devs. If you're building multi-agent systems, you're probably wiring static org charts. New research argues they should look more like a labor market. The paper introduces OneManCompany (OMC). Instead of fixed teams, it defines "Talents," portable
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AI Agents Token Costs: Systematic Study on SWE-bench
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How do AI Agents spend your money? Most teams treat agent token costs as a rounding error even though the data says they shouldn't. New paper presents the first systematic study of how agents actually spend money on coding tasks. They ran 8 frontier LLMs on SWE-bench Verified
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Top AI Papers of the Week: April 19-26
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The Top AI Papers of the Week (April 19 – 26) – Skill-RAG
– DeepSeek V4
– Autogenesis
– Attention to Mamba
– Stateless Decision Memory
– Self-Evolving Logic Synthesis
– Self-Generated World Knowledge Read on for more:
