#AI Architecture
12 articles with this tag
Meta^n: Unlocking Deeper LLM Recursion
Meta^n introduces a novel recursive LLM agent architecture that overcomes prior meta-depth limitations, achieving state-of-the-art performance across benchmarks, including ARC-AGI-2.
How xAI's Multi-Agent Stack Gave Elon Musk's Grok a Benchmark Lead
In July 2025, xAI's Grok 4 Heavy became the first AI system to score above 40% on Humanity's Last Exam by running up to 16 parallel reasoning agents on a single query. Thirteen months later, xAI shipped Grok Bot, which applies the same coordination logic to multi-step professional workflows. Here is how the architecture works and how it evolved.
Is the Log the Agent? Omnara CEO Challenges AI Convention
Omnara CEO Ishaan Sehgal argues that the 'log' is the true agent, not the model or tools, enabling reliability and portability.
Dat Ngo on Arize: LLM Observability Platform
Dat Ngo from Arize AI explains their LLM observability, evaluation, and experimentation platform, crucial for building robust GenAI applications.
AI Engineer: Small Models, Big Impact
Maxime Labonne of Liquid AI discusses the unique challenges and advantages of small AI models, detailing their architecture, training, and techniques to overcome issues like doom looping.
Healthcare AI's Data Jigsaw Puzzle
Healthcare AI's leap to production requires overcoming data silos with a governed lakehouse architecture and fusion strategies that handle missing modalities.
Multi-Agent Orchestration Patterns
Sandipan Bhaumik of Databricks discusses multi-agent AI system design, covering coordination patterns, state management, failure recovery, and production architectures.
IBM's Martin Keen on Hierarchical AI Agents
IBM's Martin Keen explains why hierarchical AI agents are superior to monolithic ones for complex tasks, detailing the benefits and challenges.
AI's Next Frontier: Shared Cognition
AI's next evolutionary leap demands collective intelligence. Cisco's Outshift envisions an 'Internet of Cognition' to unlock distributed superintelligence.
AI's Enterprise Pivot: Beyond Novelty
By 2026, enterprise AI matures from experimental feature to foundational infrastructure, demanding strategic clarity and data discipline over mere execution.
IBM's Granite 4.0: Small Models, Outsized Impact on Enterprise AI
