GenAI Intelligence Hub
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Curated articles, videos, and guides from the most trusted voices in generative AI. Updated continuously, noise filtered out.
Introducing Claude 4: Opus and Sonnet Set New Standards
Anthropic's Claude 4 family introduces next-generation AI models with state-of-the-art coding capabilities. Opus 4 excels at complex reasoning and creative tasks, while Sonnet 4.5 became the best coding model in the world with 72.7% on SWE-bench.
OpenAI o3 and o4-mini: Advancing Reasoning at Scale
OpenAI's o3 represents a breakthrough in chain-of-thought reasoning at scale. Announced December 20, 2024, o3 shows significant improvements on mathematical and coding benchmarks. o3-mini released January 31, 2025 offers cost-effective reasoning.
Getting Started with Model Context Protocol (MCP)
A comprehensive guide to the Model Context Protocol — an open standard for connecting AI assistants to tools and data sources. Learn how to set up MCP servers, create resources, and enable your AI to interact with external systems.
Apple M4 MacBook Pro: The Local AI Inference Revolution
Apple's M4 chip, introduced November 8, 2024, brings unprecedented local AI inference capabilities to MacBook Pro. With the Neural Engine and unified memory architecture, developers can run 70B parameter models locally.
Intro to Large Language Models - Andrej Karpathy
Andrej Karpathy's comprehensive introduction to LLMs, covering neural networks, transformers, attention mechanisms, and how GPT models work. Essential viewing for anyone building with AI.
MLX: Apple's Framework for On-Device Machine Learning
Apple's MLX framework is designed specifically for Apple Silicon, enabling efficient on-device inference. With lazy computation and unified memory optimization, MLX outperforms llama.cpp on most model sizes.
Introducing Claude 4: Opus and Sonnet Set New Standards
Anthropic's Claude 4 family introduces next-generation AI models with state-of-the-art coding capabilities. Opus 4 excels at complex reasoning and creative tasks, while Sonnet 4.5 became the best coding model in the world with 72.7% on SWE-bench.
OpenAI o3 and o4-mini: Advancing Reasoning at Scale
OpenAI's o3 represents a breakthrough in chain-of-thought reasoning at scale. Announced December 20, 2024, o3 shows significant improvements on mathematical and coding benchmarks. o3-mini released January 31, 2025 offers cost-effective reasoning.
Getting Started with Model Context Protocol (MCP)
A comprehensive guide to the Model Context Protocol — an open standard for connecting AI assistants to tools and data sources. Learn how to set up MCP servers, create resources, and enable your AI to interact with external systems.
Apple M4 MacBook Pro: The Local AI Inference Revolution
Apple's M4 chip, introduced November 8, 2024, brings unprecedented local AI inference capabilities to MacBook Pro. With the Neural Engine and unified memory architecture, developers can run 70B parameter models locally.
Claude Code: AI-Powered Coding Agent in Your Terminal
Claude Code is Anthropic's agentic CLI that reads your entire codebase and codes alongside you. It operates at task level — give it a feature request or bug report and it works end-to-end with minimal hand-holding.
OpenHands: The Open-Source AI Software Engineer
OpenHands (formerly OpenDevin) is an open-source AI software engineer that can autonomously resolve GitHub issues, write code, run tests, and submit PRs. Top performer on SWE-bench.
Aider vs Claude Code vs Codex CLI: Terminal Coding Agents Compared
Three serious terminal-based coding agents — Aider, Claude Code, and OpenAI's Codex CLI — each take a different approach to AI-assisted development. We benchmark all three on real coding tasks.
RAG from Scratch: Building Retrieval-Augmented Generation Systems
A step-by-step guide to building production-ready RAG systems. Covers embeddings, vector stores (Chroma, Pinecone), chunking strategies, query transformation, and evaluation.
CrewAI vs LangGraph: Choosing the Right Multi-Agent Framework
CrewAI and LangGraph are the two dominant frameworks for building multi-agent AI systems. CrewAI abstracts agents as role-playing crew members with goals and tools. LangGraph gives precise control through a directed graph model.
Intro to Large Language Models - Andrej Karpathy
Andrej Karpathy's comprehensive introduction to LLMs, covering neural networks, transformers, attention mechanisms, and how GPT models work. Essential viewing for anyone building with AI.
But what is a neural network? - 3Blue1Brown
Grant Sanderson's visually stunning explanation of neural networks and backpropagation. The clearest mathematical intuition for how deep learning actually learns.
Open WebUI vs LibreChat vs AnythingLLM: Best Self-Hosted AI Chat
The open-source AI chat UI space has exploded. Open WebUI dominates in Ollama integrations, LibreChat supports the most providers, and AnythingLLM ships everything in one desktop app.
MLX: Apple's Framework for On-Device Machine Learning
Apple's MLX framework is designed specifically for Apple Silicon, enabling efficient on-device inference. With lazy computation and unified memory optimization, MLX outperforms llama.cpp on most model sizes.
NVIDIA Blackwell Architecture: The Future of AI Inference
NVIDIA's Blackwell architecture, featuring the B200 and GB200 NVL72, represents a massive leap in AI inference capabilities. With FP4 precision and 192GB HBM3e memory per GPU.
Claude Opus 4.5: The Most Robustly Aligned Model Yet
Claude Opus 4.5, released November 2025, is Anthropic's most robustly aligned model with significant improvements in coding, reasoning, and agentic task execution.
Agentic Coding with Claude Code: A Practical Workflow
How to set up Claude Code as a true agentic coding assistant — covering CLAUDE.md project context, tool permissions, memory patterns, and prompting strategies.
The Rise of Open-Source AI Coding Agents in 2025
Open-source coding agents have matured significantly in 2025. From Claude Code to Aider to OpenHands, developers now have powerful options for AI-assisted development that run locally.
How AI Agents Actually Work - AI Explained
A clear explanation of how AI agents work — from tool use and function calling to planning loops and memory. Understanding the agent architecture is key to building reliable AI systems.