This is an analysis of a rare, in-depth interview with Yang Zhilin, the founder of China's Moonshot AI (Kimi). The piece focuses on his unconventional, philosophical approach to building an AGI company amidst intense market competition.
One of the most interesting takeaways is his management philosophy, where he explicitly states he tries to run his organization using principles from Reinforcement Learning (defining rewards and letting the team explore) rather than Supervised Fine-Tuning (giving direct, rigid instructions). He sees it as a way to foster innovation under pressure.
The article translates key excerpts and contrasts his long-term, philosophical vision with the company's short-term market challenges (stalled growth, price wars). Curious to hear the HN community's thoughts on applying RL concepts to team management and the viability of such a long-term vision in a hyper-competitive environment.
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[ 2.6 ms ] story [ 13.5 ms ] threadOne of the most interesting takeaways is his management philosophy, where he explicitly states he tries to run his organization using principles from Reinforcement Learning (defining rewards and letting the team explore) rather than Supervised Fine-Tuning (giving direct, rigid instructions). He sees it as a way to foster innovation under pressure.
The article translates key excerpts and contrasts his long-term, philosophical vision with the company's short-term market challenges (stalled growth, price wars). Curious to hear the HN community's thoughts on applying RL concepts to team management and the viability of such a long-term vision in a hyper-competitive environment.