Kimi's CEO Yan Zhiling: AI Companies Are Too Focused on Models
Kimi's CEO Yan Zhiling: AI Companies Are Too Focused on Models
Yan Zhiling, CEO of Kimi, believes that success in AI depends not only on models but also on team organization. He emphasizes the importance of long context for AI.
AI companies are too focused on the models. — CEO of Kimi Yan Zhiling
According to him, the decisive advantage comes not only from architecture or the number of parameters but from how the team that creates all this is organized. It is the organization of people, processes, and decisions that ultimately determines the outcome.
Moonshot demonstrated this approach in practice. When the demand for K3 exceeded available capacity, the company stopped selling new subscriptions but did not cut limits for existing users. In other words, it preferred to lose some revenue rather than degrade the service for its existing audience.
Another important idea from Yan: long context is becoming for AI what RAM has become for computers. The amount of available model memory is growing at an enormous pace, but now this transition takes not decades but just a few years.
The model is important, but the real advantage can come from the team and how it is organized.
Why it matters
AnalysisThis approach highlights the importance of team organization in the field of artificial intelligence, which can significantly impact project success. Understanding the role of the team in AI development can help companies achieve better outcomes.
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