#ai

Field of computer science dedicated to creating systems capable of performing tasks that normally require human intelligence, from reasoning and perception to language generation.

AWS managed service providing access to foundation models from multiple providers (Anthropic, Meta, Mistral) via API, without managing ML infrastructure.

Chronicle of building a second brain with a knowledge graph, bilingual pipeline, and agent endpoints — over a weekend, at near-zero cost, and what that teaches about the gap between theory and working systems.

Proposed standard for publishing a Markdown file at a website's root that enables language models to efficiently understand and use the site's content at inference time.

Computational models inspired by brain structure that learn patterns from data, forming the foundation of modern artificial intelligence systems.

Open source SDK from AWS for building AI agents with a model-driven approach. Functional agents in a few lines of code, with multi-model support, custom tools, MCP, multi-agent, and built-in observability.

Key takeaways from Dario Amodei's essay on civilizational risks of powerful AI and how to confront them.

Key takeaways from Nate B Jones' second brain series — from the original 8 building blocks to Open Brain (Postgres + MCP), the two-door principle, and the implementation gap.