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RT by @_akhaliq: Top AI Papers of The Week (May 25-31): - Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players - SkillOpt: Executive Strategy for Self-Evolving Agent Skills - Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments by Alibaba - LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding - AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security - DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning - Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models - WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation - Rethinking Cross-Layer Information Routing in Diffusion Transformers Find them below:

New paper from Microsoft on Self-Evolving Agent Skills

The Top AI Papers of the Week (May 18 - 24): - AIRA - MetaCogAgent - Memory as a Model - Code as Agent Harness - Weak-Model Critic-Comparator - OpenAI Disproves the Unit Distance Conjecture - Production Agent Architecture Methodology Read on for more:

AI Dev 26 x SF | Diamond Bishop: The Next 100 Agents. Building the Agent Native Office

AI Dev 26 x SF | Paul Everitt: The Shift to Agentic Engineering

AI Dev 26 x SF | Andrew K. Davies: Deterministic Memory: How to Build an AI That Cannot Lie

AI Dev 26 x SF | Brandon Waselnuk: Building the Context Engine AI Agents Need