DeepSeek vs. Kimi: A user argues that owning compute matters
A user calls Moonshot too dependent on Alibaba and suggests that reusing an older model base—if that is what K2.8 does—could signal resource scarcity.
TLDR
Ownership of computing resources is central to one user's case for DeepSeek over Kimi. If K2.8 is a post-trained version of K2.7—ultimately tracing back to K2 from July 2025—they see that as a possible sign that Kimi is struggling to train new base models. In a follow-up, they say work on K3 reinforcement learning is underway but argue that Moonshot is too dependent on Alibaba.
Combined views
1.7K
1 Source, first seen 19d ago