This episode examines three model releases across distinct scaling regimes. Z.ai’s GLM-4.7 delivers improved task completion and consistency in multi-step coding workflows, ranking first among open-source models on Code Arena and scoring eighty seven point four on tau squared Bench. Liquid AI’s LFM two dash two point six B dash Exp applies pure reinforcement learning to a hybrid convolution-attention architecture, outperforming models with two hundred sixty three times more parameters on instruction following benchmarks. SK Telecom’s A.X K one represents South Korea’s first five hundred nineteen billion parameter deployment, developed through an eight-organization consortium and released as open-source infrastructure for domestic AI development, semiconductor validation, and service integration across twenty million users.
