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Agent-Environment Co-evolution

2 articles · Page 1 of 1
Machine Heart
Machine Heart
Nov 11, 2026 · Artificial Intelligence

The Trinity: Capability-Driven Recursive Self-Improvement for Multimodal Agents

The Trinity framework shifts recursive self-improvement from task-level to capability-level optimization, using Creator, Explorer, and Evolver roles to co-evolve environments and harnesses across 28 multimodal benchmarks, achieving 34.1 and 26.2 point gains on seen and unseen tasks, with 60% sim-to-real transfer on robot tasks.

Agent-Environment Co-evolutionCapability TreeCapability-Driven Learning
0 likes · 19 min read
The Trinity: Capability-Driven Recursive Self-Improvement for Multimodal Agents
Machine Heart
Machine Heart
Sep 23, 2026 · Artificial Intelligence

From AI Build AI to True RSI: Inside the Zhangjiang Summit on AI Self-Evolution

The article reports on the "Triple T" Zhangjiang Top Meeting salon where six experts presented on recursive self-improvement (RSI) in AI, covering agent-environment-data-model co-evolution, self-evolving code models, discovery intelligence, embodied AI, AI for science, and a roundtable on achieving genuine RSI beyond local optimization.

AI Self-EvolutionAI-for-ScienceAgent-Environment Co-evolution
0 likes · 14 min read
From AI Build AI to True RSI: Inside the Zhangjiang Summit on AI Self-Evolution