WorkGenesis: Building the Worlds That Teach Agents to Work
cs.AI
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/ArtificialAnalysis/Stirrup
Sources
- Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
- Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
- SciCode-Verified: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models
- JobBench: Aligning Agent Work With Human Will
- Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale
- Kimi K3: Open Frontier Intelligence
- APEX-Agents
- $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
- Qwen-AgentWorld: Language World Models for General Agents
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