GLM 5.2 Clearly Explained (and how to set it up)

In this episode I sit down with Amir to get tactical about running local AI models as part of a daily workflow. We center on GLM 5.2 from ZAI, how it stacks up against frontier models like Opus 4.8, and how a fusion approach lets you sequence a heavy thinking model with a lighter execution model for the best output at the lowest cost.

It goes beyond the title with direct discussion of https, model, opus, including: We center on GLM 5.2 from ZAI, how it stacks up against frontier models like Opus 4.8, and how a fusion approach lets you sequence a heavy thinking model with a lighter execution m.

1. 01In this episode I sit down with Amir to get tactical about running local AI models as part of a daily workflow
2. 02We center on GLM 5.2 from ZAI, how it stacks up against frontier models like Opus 4.8, and how a fusion approach lets you sequence a heavy thinking model with a lighter execution m
3. 03By the end you will know how to start today, where local models shine, and how model chaining keeps spend in check