Cheap intelligence is here, but that does not mean the model is the bottleneck.
In this briefing, I breakdown GLM 5.2, the cost pressure open-source models are putting on frontier labs, and why the next competitive edge is likely to come from the context and harness layer around AI work.
The core question is not whether a cheaper model can answer a prompt. It is whether a team has enough of its own workflow, data, routing, and institutional context captured for that cheaper intelligence to matter.
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