{"slug": "sol-pi-recursively-scaling-auto-research-loops-for-efficient-agent-harness", "title": "SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness", "summary": "Researchers introduced SoL-Pi, a method for recursively scaling auto-research loops to improve token efficiency in agent harnesses, according to the paper's headline and abstract. The work targets coding agents that operate in unattended, around-the-clock exploration, where work expands from isolated predictions into long trajectories of reasoning, tool use, and feedback. The authors argue token efficiency is important for scaling recursive self-improvement.", "body_md": "As coding agents move from supervised code completion to unattended, around-the-clock exploration, their work expands from isolated predictions into long trajectories of reasoning, tool use, and feedback. Token efficiency therefore becomes important for scaling recursive self-improvement. We take an", "url": "https://wpnews.pro/news/sol-pi-recursively-scaling-auto-research-loops-for-efficient-agent-harness", "canonical_source": "https://aiflash.com/news/121737/", "published_at": "2026-09-18 02:00:16+00:00", "updated_at": "2026-09-18 02:24:39.133705+00:00", "lang": "en", "topics": ["ai-agents", "ai-research", "large-language-models", "artificial-intelligence"], "entities": ["SoL-Pi"], "alternates": {"html": "https://wpnews.pro/news/sol-pi-recursively-scaling-auto-research-loops-for-efficient-agent-harness", "markdown": "https://wpnews.pro/news/sol-pi-recursively-scaling-auto-research-loops-for-efficient-agent-harness.md", "text": "https://wpnews.pro/news/sol-pi-recursively-scaling-auto-research-loops-for-efficient-agent-harness.txt", "jsonld": "https://wpnews.pro/news/sol-pi-recursively-scaling-auto-research-loops-for-efficient-agent-harness.jsonld"}}