Ai

DARPA’s new DICE (Decentralized Artificial Intelligence through Controlled Emergence) program may be one of the strongest real-world signals yet that biological coordination principles are moving into operational AI architectures.

AgentSociety proposes a framework where autonomous agents cooperate through mechanisms borrowed from social choice theory and liquid democracy. Agents delegate authority, route information, and form consensus-based decision paths using only local knowledge and incentive-compatible behaviour.

29-Nov-2026 Hong Kong - DAI 2026 places coordination, markets, agent infrastructure, and societies of autonomous agents at the center of distributed AI research.

“Agentic AIs are a feral technology… they are projected to become a wild, self-sustaining, population.” Co-organised with Morgan Stanley, this upcoming Santa Fe Institute gathering takes place 15-Sept-2026 in NYC.

A notable June event from the Santa Fe Institute, co-sponsored by OpenAI and Google DeepMind, focused on intelligence across multiple organisational and social scales rather than intelligence as an individual phenomenon.

The paper proposes an “Internet of Agentic AI” in which autonomous agents discover each other, negotiate responsibilities, exchange context, coordinate workflows, and operate across organizational boundaries.

Researchers studying fire-ant collectives found evidence that large-scale ripples and movement waves emerge from simple local alignment between neighbouring ants. No central coordination is required for the collective patterns to appear.

Lantern Pharma announced ZetaSwarm, a commercially available multi-agent scientific reasoning platform designed to run many specialised AI agents in parallel. The system is intended to support drug discovery and biomedical research workflows.

Researchers at the University of Osaka and collaborators have developed a cyborg insect system that reads heartbeat activity, neural signal features, and body movement from cockroaches.

Researchers demonstrated a lightweight navigation system inspired by honeybee learning flights that allows small drones to return home using compact visual memories rather than large-scale mapping systems.