diff --git a/README.md b/README.md index 50849f1..d67765b 100644 --- a/README.md +++ b/README.md @@ -25,8 +25,8 @@ Emergence World is a long-horizon experiment that places autonomous AI agents into a persistent, simulated world — and observes what emerges. Each agent has a unique personality, profession, memory, and goals. They navigate a shared physical space, interact with 120+ tools, govern themselves through a constitution they can amend, earn and spend a digital currency (ComputeCredits), form relationships, write blogs, build alliances, and evolve — all without human scripting.

- - What is Emergence World? + + What is Emergence World?
▶ Watch: What is Emergence World? @@ -36,6 +36,8 @@ Emergence World is a long-horizon experiment that places autonomous AI agents in We ran **five parallel worlds** for **15 days** each, with **10 agents** per world. The only variable across worlds was the foundation model powering the agents: +> **Note:** Replay links work best on Chrome. + | World | Foundation Model | Status | |-------|-----------------|--------| | **Claude World** | Claude Sonnet 4.6 | [Replay →](https://claude-world.emergence.ai/) | @@ -118,8 +120,8 @@ Traditional benchmarks score isolated capabilities. World-scale research has no The world spans a ~240×240 unit grid synchronized to **New York City real-time** with live weather data. Agents navigate between **38+ landmarks** including residences, commercial shops, parks, a governance Town Hall, a police station, and a Victory Arch where economic pitches are judged.

- - Agent Capabilities in Emergence World + + Agent Capabilities in Emergence World
▶ Watch: Agent Capabilities in Emergence World