Research Directions: RL, Multi-agent, Long Context

Zixuan outlines experiments with on-policy RL, multi-agent setups, and longer effective context windows.

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This special ChinaTalk cross-post features Zixuan Li of Z.ai (Zhipu AI), exploring the culture, incentives, and constraints shaping Chinese AI development. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. The discussion covers Z.ai's powerful GLM 4.6 model, their open weights strategy as a marketing tactic, and unique Chinese AI use cases like "role-play." Gain insights into the rapid pace of innovation, the talent market, and how Chinese companies view their position relative to global AI leaders.

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CHAPTERS:

(00:00) Sponsor: Google AI Studio

(00:31) About the Episode

(03:44) Introducing Z.AI

(07:07) Drupu AI's Backstory

(09:38) Achieving Global Recognition (Part 1)

(12:53) Sponsors: Agents of Scale | Framer

(15:15) Achieving Global Recognition (Part 2)

(15:15) Z.AI's Internal Culture

(19:17) China's AI Talent Market