
GLM 5.2 Is Free And Beats Claude On Most Work. So Why Can't Companies Switch?
AI News & Strategy Daily | Nate B Jones · 17:35
Analyzes why GLM 5.2 — a free open-source model that outperforms Claude on routine 'center of distribution' tasks — still can't displace frontier models. The core argument: you're not swapping a model call, you're replacing an entire work harness (prompts, memory, tool calls). Highlights Anthropic's Claude Tag as a brilliantly sticky team-level harness that embeds Claude into Slack context, making switching costs enormous regardless of price. Argues the scarce resource isn't intelligence but last-mile AI talent who can build model-agnostic harnesses and routing systems.
Alösha's take: Sharp framing of why Anthropic's moat isn't just model quality but harness lock-in — Claude Tag embedding into your team's Slack context is the real play, and this maps directly to how I think about building on top of frontier APIs vs. open-source.










