SPADE: Self-Play Where Agents Design Ever-Harder RL Environments, a Step Toward RSI
_AndrewZhao · x · 2026-08-21
SPADE♠ (Self-Play for Agentic Environment Scaling) has one model self-play the Environment Designer and the Reasoning Agent: the designer continuously writes executable, agentic RL environments that get harder as the agent improves, automating environment scaling. The authors argue it's a key step toward RSI (recursive self-improvement) — AI deciding what to train and verify. More settings covering terminal tasks are in the works.
More from AGI Musings
- Elevation of Slack is smart; bundling age is over — matt_slotnick · 2026-08-21
- Models are both incredibly smart and incredibly dumb — nabeelqu · 2026-08-21
- Naval on Grok Bot: Agents should be persistent with own computers — naval · 2026-08-21
- Opinion: If AI Is Your Only Lens, Humanity Is Just an Inefficient Workflow — YogeshMalik · 2026-08-21
- Silicon Valley needs to invest in robotics as physical AI inflection point nears — gan_chuang · 2026-08-21
- Are societal cognitive declines a precondition for AI dependence? — d1karim · 2026-08-21