AI Concepts Articles
Browse 1363 articles about AI Concepts.
What Is the Outer Loop Pattern for AI Agents? How to Keep Agents Running Until Done
The outer loop pattern wraps AI agents in a control mechanism that checks progress, compares against goals, and restarts agents that stop too early.
What Is the Dark Factory Approach to AI Coding? How to Ship Code Without Human Bottlenecks
The dark factory is a fully autonomous AI coding pipeline that takes a spec and ships production code. Learn what it takes to build one reliably.
AI Model Export Controls Explained: What Government Review Means for Your Agent Stack
The Claude Fable 5 and GPT-5.6 government reviews signal a new era of AI export controls. Here's what it means for builders and how to stay resilient.
Claude Fable 5 Effort Levels Explained: When to Use Low, Medium, High, and Max
Claude Fable 5 has five effort levels that control cost and reasoning depth. Learn which to use for routine tasks vs complex agentic workflows.
How to Build an OKF Knowledge Bundle and Share It with Any AI Agent
OKF bundles let you package structured knowledge and share it across agents. Here's how to build one, add metadata, and deploy it to your second brain.
LongChat 2.0: The 1.6 Trillion Parameter Model Trained Without Nvidia GPUs
Meituan's LongChat 2.0 is a 1.6T parameter open-weight model trained on custom AI chips—no Nvidia GPUs required. Here's how they did it and why it matters.
Open-Weight vs Closed AI Models: Why GLM 5.2 Changes the Cost Equation for Agents
Open-weight models like GLM 5.2 are closing the gap with frontier AI. Here's what that means for your agent stack and token budget.
What Is Seedance 2.5's Multimodal Reference System? 50 Inputs, One Consistent Video
Seedance 2.5 supports up to 50 image, video, and audio references in a single generation. Here's how the reference system works and when to use it.
What Is GLM 5.2? The Open-Weight Model With 1M Token Context for Agentic Workflows
GLM 5.2 is ZAI's flagship open-weight model with 1M token context, MCP support, and frontier-level coding at a fraction of the cost.
What Is the Open Knowledge Format (OKF)? Google's Standard for AI Knowledge Bases
OKF is Google's open standard for building shareable LLM knowledge bases. Learn how it works, why it matters, and how to adopt it for your agents.
AI Model Selection Framework: Daily Driver vs Workhorse vs Specialist Models
Stop picking models by hype. Use this framework to match frontier models, open-weight workhorses, and specialist tools to the right tasks in your stack.
Claude Code /goal vs /routines vs /loop: Which Autonomous Scheduling Method Should You Use?
Claude Code offers three ways to run agents autonomously: /goal for completion conditions, /loop for intervals, and /routines for cloud-based cron jobs.
Claude Sonnet 5 Token Efficiency Problem: Why It Can Cost More Than Opus 4.8 in Agents
Claude Sonnet 5 uses 30% more tokens than other models due to its agentic design. Learn when it costs more than Opus and how to manage usage.
How to Build an OKF Knowledge Bundle: Share Your AI Knowledge Base with Any Agent
Google's Open Knowledge Format lets you package knowledge bases as shareable bundles. Learn how to build one and import it into your second brain.
How to Prompt Claude Fable 5 Like an Anthropic Engineer: 6 Rules That Actually Work
Anthropic's own best practices for Claude Fable 5 include giving context, negative prompting, effort levels, and avoiding reasoning requests that trigger Opus.
Open-Weight AI Models vs Closed Frontier Models: How to Choose for Your Agent Stack
GLM 5.2, Qwen, and DeepSeek are catching up to Claude and GPT. Learn when open-weight models win and when frontier models are worth the cost.
What Is Gemini Omni Flash? Google's Conversational Video Editing Model Explained
Gemini Omni Flash is Google's multimodal video model that lets you edit video through conversation—changing characters, lighting, and style iteratively.
What Is the Open Knowledge Format (OKF)? Google's Standard for Shareable AI Knowledge Bases
OKF is Google's open standard for LLM wikis—a minimal layer on top of Karpathy's knowledge base pattern that makes wikis shareable across AI agents.
The AI Context War: Why Siri, Claude Tag, and Codex Are Solving the Same Problem
Apple, Anthropic, and OpenAI are all racing to connect AI to your real-world context. Here's why context access matters more than model intelligence.
AI Model Export Controls Explained: What Government Review Means for Your AI Stack
The US government is reviewing frontier AI models before release. Here's what that means for builders who depend on Claude, GPT, and other models.