Gemma 4 and what makes an open model succeed

A thoughtful analysis of Gemma 4's release in the context of an increasingly crowded open model landscape. The author argues that open models face structural disadvantages — harder to evaluate, less workflow-integrated, more variance in real-world performance — but carry enormous untapped potential, especially for agentic AI use cases. Benchmarks at release are deemed an incomplete story for open models.