DeepSeek: From V1 to V4, the Models and the Breakthroughs
DeepSeek's models in order, the idea behind each one (MoE, latent attention, FP8 training, RL reasoning, sparse attention), and what each changed for everyone else.
The Open-Weight Labs
The labs behind today's open-weight models: their models, their breakthroughs, and what each changed for the ecosystem.
Z.ai's GLM Models: From ChatGLM to GLM-5
Z.ai's (Zhipu's) GLM models in order, from the GLM pretraining objective to agentic MoE models, the idea behind each step, and what each changed for the ecosystem.
MiniMax: Lightning Attention, Agents, and What They Tried
MiniMax's models in order: lightning (linear) attention at a 4-million-token context, reasoning, the return to full attention for agents, and what each choice taught the ecosystem.
Kimi: Moonshot AI's Models, from Long Context to Trillion-Parameter Agents
Moonshot AI's Kimi models in order, from long-context chat to trillion-parameter agentic MoE models, the idea behind each step, and what each changed for the ecosystem.