
The Impending Collapse of AI Inference Margins
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The rise of high-performance open-weights models is set to destroy the high profit margins currently enjoyed by frontier AI labs on inference costs.
Large language models whose weights are publicly released, allowing for local deployment, privacy, and reduced operational costs.

The rise of high-performance open-weights models is set to destroy the high profit margins currently enjoyed by frontier AI labs on inference costs.

Local AI should be a protected right, allowing users to own and run models on their own hardware without mandatory cloud oversight or restrictive licensing.

Open-weight model GLM 5.2 surpassed frontier models in IDOR detection benchmarks, signaling a shift toward cost-effective and private AI for security tasks.