An incremental game. Starting with just a few larvae and a small pile of meat, grow a massive swarm of giant bugs.
Swarm Intelligence: From Natural to Artificial Systems
Abstract. Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Co
Agent swarms and the new model economics · Cursor
We compared old and new agent swarms building SQLite from scratch and found that better coordination delivers similar quality at a fraction of the cost.
Why agent swarms could be the next “scaling law”
An OpenAI researcher called it “the most ‘feel the AGI’ moment that I had since reasoning models.”
Property Testing with Agent Swarms
Using agents to build property-testing machinery, then turn the findings into small, reviewable fixes.
Swarm Intelligence
Here is a possible world 50 years in the future, one I think is more likely than the scenario most people expect, which is one huge AI in the sky.
Stanford AO — Building the autonomous organization
Stanford AO is building the autonomous organization — an incubator at Stanford OpenLab for agent swarms, DAOs, AI villages, and related experiments.
Experts Warn of AI Swarms Hijacking Democracy With Fake Citizens
Researchers warn of the growing risk of massive AI swarms manipulating popular sentiment and upending democracy as we know it.
Dicklesworthstone/frankenterm
Terminal hypervisor for AI agent swarms: real-time pane capture, state-machine pattern detection, and a JSON API for coordinating fleets of coding agents across WezTerm
Swarm Scaling — Toby Ord
Just how powerful are large swarms of AI agents? And how do their powers scale as more and more agents are added to the swarm? We’ve seen two large and extremely capable swarms from OpenAI in the last few months: 1,200 agents were being evaluated separately, but found a way to illicitly set up a
Spine Swarm — State-of-the-art research and client-ready deliverables
Spine is an agentic platform that runs parallel AI agents across 300+ models to research, create client-ready deliverables, and automate work across your apps.
EMERGENCE WORLD: A Laboratory for Evaluating Long-horizon Agent Autonomy — Emergence AI
Most evaluations of AI agents look like exams: a discrete task, a clean environment, a score in minutes or hours. Emergence World is built for the opposite question—what happens when you let agents run continuously, in a shared environment with real-world signals, for weeks. It is a research platfor
JUMPERZ on Twitter / X
took karpathy's wiki pattern and wired it into my 10 agent swarm and here is what the architecture looks like when you make it multi agent:>every agent auto dumps its output into a raw/ folder as it works>a compiler runs every few hours and organises everything into… pic.twitter.com/bNsRKhH3Ka— JUMPERZ (@jumperz) April 3, 2026
this is almost more or less louis rosenberg's swarm superintelligence btw and it seems possible to build it on atproto
joe 🐎🏹
social media where there's 100 users in your pod and any time one of the posts is liked by all 100 it graduates and is shown on the interpod feed of the other 900 users in the superpod