How to Build Multi-agent AI systems: 3 Architecture Patterns
Learn how Multi-agent AI systems use orchestrator–worker, blackboard, and pipeline patterns, with pseudocode, safeguards, and practical examples for production.
Learn how Multi-agent AI systems use orchestrator–worker, blackboard, and pipeline patterns, with pseudocode, safeguards, and practical examples for production.
A Peec AI researcher says ChatGPT continued citing a low-cost website filled with fabricated fake statistics. The experiment exposes how retrieval, repetition, and citation laundering can make false data look credible.
AI can generate conjectures, search literature, and help verify proofs—but accelerating research without human understanding could create a crisis of trust in science.
GLM’s large-scale inference platform shows how GPU orchestration, distributed serving, and AI-assisted engineering are converging into a new model for building AI infrastructure.
King Charles III brought Jensen Huang and leaders from the world’s most influential AI companies to Dumfries House for a high-level discussion about safeguards, misuse, human control and the societal impact of increasingly capable AI.
The AFT-Microsoft agreement sets a new bar for student data privacy, AI safety, transparency, and responsible use of Copilot and other AI tools in schools. Here’s what the new Stronger AI privacy Rules means for U.S. schools, students, educators, and families.
A practical roadmap for becoming an AI-native developer by mastering coding tools, model APIs, agents, evaluation, security, automation, and core engineering.