Day 7 of my 100-experiment local LLM challenge. Trained a tiny OpenMythos-style mini model (theoretical reconstruction of the rumored Claude Mythos architecture) on multi-digit addition to test whether more recurrent loops at inference time actually make the model smarter. Adding a fresh data point to the Saunshi / Huginn / Bee picture.
[Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX