Thinking with AI at Meridian
A field note from a talk about language models, epistemic honesty, and preserving judgment at Meridian Learning Foundation.
Engineering stories, experiments, and working practices.
A field note from a talk about language models, epistemic honesty, and preserving judgment at Meridian Learning Foundation.
Why AI agents need persisted message time outside the system prompt.
A practical system for recovering AI sessions, maintaining reviewed memory, reusing concrete workflows, preserving provenance, and evolving an operating contract.
A runnable DBF/SIGN1 model: near-Q3_K quality at a slightly smaller-than-Q2_K budget and near-Q2_K Vulkan speed.