This paper presents a multi-agent AI architecture that achieves 92.1% reliability by organizing specialized AI agents into teams with opposing roles and hierarchical oversight, similar to corporate organizational …
GEPA introduces a novel prompt optimization approach that uses natural language reflection and Pareto-based evolutionary search to optimize compound AI systems, achieving superior performance compared to reinforcement …
A randomized controlled study examining how AI assistance affects skill formation in software development, finding that while AI can improve productivity, it significantly impairs conceptual understanding, code reading, …
North Korean threat actor UNC1069 deployed seven unique malware families against cryptocurrency targets using AI-generated deepfakes and sophisticated social engineering tactics. The attack involved compromised Telegram …
Marc Andreessen argues that AI will be profoundly beneficial for humanity, systematically debunking five major AI risk concerns while advocating for aggressive AI development to compete with authoritarian uses of the …
Block is pioneering a fundamental shift from traditional hierarchical management to AI-driven organizational intelligence, replacing human coordination layers with world models and intelligence systems. This approach …
This paper introduces Mimosa, an evolving multi-agent framework that automatically synthesizes and iteratively refines task-specific workflows for autonomous scientific research, achieving 43.1% success rate on …
Explores alternative approaches to semantic search beyond vector embeddings, demonstrating how hierarchical taxonomies combined with BM25 indexing can provide better matching and domain-specific categorization. Shows how …
A deep dive into securing AI agent fleets using just-in-time JWT tokens, role-based access control, and zero-credential architecture. The system includes a meta-workflow that analyzes logs and creates self-improvement …
Figma’s recent update allowing AI agents to write directly to design files signals a major industry shift where AI agents like Claude Code are becoming aggregators, forcing SaaS companies to choose between becoming …
This study analyzes the troubled implementations of Epic EHR systems in Denmark and Finland, revealing significant post-implementation challenges including poor usability, increased task completion times, and widespread …
Government technology projects have a 13% success rate due to systemic governance issues including outdated procurement processes, restrictive policies, and perverse incentive structures. Breaking this cycle requires …
This research introduces Natural-Language Agent Harnesses (NLAHs) and Intelligent Harness Runtime (IHR), enabling agent control logic to be expressed in editable natural language and executed under shared runtime …
