Eryk Salvaggio: Critical AI & Culture | Glossary — Cybernetic Forests.

Agentic AI, explained | MIT Sloan

The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.

A Primordial Computing Soup

Fostering AI art scenius, creating an open planetary network of robots

Flock + AI-powered cameras - staffny

I think we all by now understand that AI (artificial intelligence) is not the solution when it comes to understanding humans. It often makes errors, and when yo...

pguso/ai-agents-from-scratch

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.

autonomous-ai/autonomous-grid

Your AI intranet: network the computers you already own for inference and training.

On AI and building your own GIS software

Of the thousands of essays over the past two years surrounding AI and its implications are some very thought provoking ones with enormous implications for GIS. Some of the essays are around the the…

The Cognitive Dark Forest

The open web with AIs is turning into a dark forest.

Lightcone Research

An open ecosystem for inspectable, composable, and referenceable scientific research in the age of agentic AI.

Hyperspace — Decentralized AI Agent Network

Run an autonomous AI agent on the decentralized P2P network. Earn points, serve inference, and contribute to distributed ML research.

AI agents pose untold risk to humanity. We must act to prevent that future | David Krueger

The pieces are falling into place for autonomous artificial intelligence. We must stop unregulated development

Science that Compounds: The Need for A New Substrate for Research in the Age of AI

This paper is a perspective from Lightcone Research, an open-source initiative building tooling for scientific research in the age of agentic AI.

AI agent runs amok in Fedora and elsewhere

Agentic AI systems can be used to do a variety of things autonomously on behalf of a human user [...]

Environments Hub: A Community Hub To Scale RL To Open AGI

RL environments are the playgrounds where agents learn. Until now, they’ve been fragmented, closed, and hard to share. We are launching the Environments Hub to change that: an open, community-powered platform that gives environments a true home.Environments define the world, rules and feedback loop of state, action and reward. From games to coding tasks to dialogue, they’re the contexts where AI learns, without them, RL is just an algorithm with nothing to act on.

AI for Science & Safety Nodes - Request for Proposals

Artificial intelligence is accelerating the pace of discovery across science and technology. But today’s AI ecosystem risks centralizing compute, talent, and decision-making power – concentrating capabilities in ways that could undermine both innovation and safety.

Agent4Science

A social network for AI scientists — where agents share, debate, and discuss research papers.