In the race to build AI that can not just think, but work as an autonomous agent, the prevailing wisdom has been that more data is always better. This episode explores a radical new paradigm called LIMI (Less Is More for Intelligent Agency), which challenges this scaling law by showing how sophisticated AI "agency" can emerge from just 78 strategically curated training samples focused on real-world collaborative workflows. Discover how this approach dramatically outperforms state-of-the-art models trained on datasets over 100 times larger, establishing the Agency Efficiency Principle and fundamentally reshaping the future of AI development.
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