AI/ML

Midjourney TV

What I gave up, what I kept, and what's new. PLUS: How I'm using AI

Claude Code is the most delightful AI agent/workflow I have used so far. Not only does it make targeted edits or vibe coding throwaway tools less annoying, ...

My experience creating software with LLM coding agents - Part 2 This post details my experiences creating software with LLM coding agents,...

Hobbyist training AI on Victorian texts gets an unexpected history lesson from his own creation.

This blog post intends to be a definitive guide to context engineering fundamentals from the perspective of an engineer who builds commercial coding assistants and harnesses for a living. Just two weeks ago, I was back over in San Francisco, and there was a big event on Model Context Protocol

Useful reminder from Geoffrey Huntley of the infrequently discussed significant token cost of using MCP. Geoffrey estimate estimates that the usable context window something like Amp or Cursor is around …

Think of the Web as a digital territory with its own social contract. In 2014, Tim Berners-Lee called for a “Magna Carta for the Web” to restore the balance of power between individuals and institutions. This mirrors the original charter’s purpose: ensuring that those who occupy a territory have a meaningful stake in its governance. Web 3.0—the distributed, decentralized Web of tomorrow—is finally poised to change the Internet’s dynamic by returning ownership to data creators. This will change many things about what’s often described as the “CIA triad” of ...

fresh directories for every vibe. Contribute to tobi/try development by creating an account on GitHub.

Lauren Goode convinced her editors at Wired to let her spend a couple of days at a tech company called Notion learning how to vibe-code (i.e. AI-assisted computer programming): Why Did a $10 Billion Startup Let Me Vibe-Code for Them — and Why Did I Love I

Personal site of Mustafa Suleyman, AI pioneer and author.

Three years in, one of AI’s enduring impacts is to make people feel like they’re losing it.

Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing robots! - ClemensElflein/OpenMower

We want to make Piccalilli’s position absolutely clear on LLMs and generative AI. It’s important for you, the reader, to understand our position.

Some tools were sufficient for summarizing meetings. For research, the results were a disaster.

AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.

Really useful official guide to running the OpenAI gpt-oss models using llama-server from llama.cpp - which provides an OpenAI-compatible localhost API and a neat web interface for interacting with the …

Contribute to aidecentralized/nandapapers development by creating an account on GitHub.

NANDA: The Internet of AI Agents - Pioneering the Future of Decentralized Intelligence from MIT Media Lab

Create instant AI-powered mind maps with MindMap AI. Featuring Copilot Chat, co-creation, multi-format input, and easy sharing. Revolutionize your brainstorming process today!

I made Anubis, a lightweight, open-source Web Application Firewall designed to block automated bot attacks without frustrating real users. Anubis uses techniques like TLS fingerprinting and JavaScript proof of work to keep your site safe while staying flexible, fast, and easy to deploy.

Run multiple Claude Code AI sessions in parallel git worktrees. Test, compare approaches & manage AI-assisted development workflows in one desktop app. - stravu/crystal

Transform your AI coding workflow with a beautiful GUI that makes managing Claude sessions, creating custom agents, and tracking usage effortless.

I have had the Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia from June 27 open for some time now. I thought I wanted to sign it, but got stuck on the first paragraphs multiple times:

Multilingual Document Layout Parsing in a Single Vision-Language Model - rednote-hilab/dots.ocr

End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.

Real patterns for building AI agent systems that don't fall apart. Two-tier architectures, stateless design, orchestration strategies, and what we learned building UserJot's agent infrastructure.