🚀 Less Is More for Agency: Rethinking How We Build Autonomous AI
In an era where everyone’s chasing bigger datasets and larger models, LIMI (Less Is More for Intelligent Agency) flips the script. This groundbreaking study from SII-GAIR introduces the Agency Efficiency Principle — showing that true AI autonomy doesn’t come from scaling data, but from strategic curation of high-quality demonstrations.
The authors define “agency” as an AI’s ability to not just reason, but act: discovering problems, forming hypotheses, and executing solutions autonomously. As industries demand AI that can work, not just think, LIMI offers a radical shift: it achieves 73.5% on AgencyBench, outperforming top-tier models like GLM-4.5 and Qwen3-235B — with only 78 carefully designed samples. That’s 128× less data yet far superior performance.
LIMI’s secret? Focused training on vibe coding (collaborative software development) and research workflows, where agentic behavior truly shines. By capturing authentic multi-turn interactions, reasoning, tool use, and feedback loops, the team demonstrates that agency emerges not from data abundance, but from learning the essence of autonomy.
This work redefines how we think about developing agentic systems. Instead of blindly scaling, LIMI proves that less is strategically more, paving the way for efficient, sustainable AI agents that can reason, plan, and act across real-world contexts.
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