τeuτonic struggles with validator instability, model delivery

τeuτonic experienced widespread evaluation server crashes and slowdowns over the past 24 hours, with validators consistently failing every few evals. The team identified multiple infrastructure issues: HuggingFace delivery bottlenecks, model contamination in GPU cache affecting eval consistency, and a suspicious model (JohnGJE) that passes forward checks but fails backward pass. A switch to Hippius backend for model uploads is under testing to improve speed and reliability.

• •Eval server dies frequently; 30+ minute queue average with random failures
• •HuggingFace model delivery causing severe inconsistency; Hippius backend testing
• •GPU cache contamination persists across evals, skewing king/challenger results
• •JohnGJE model detected as backward-unstable; passes validator but unfeasible
• •UID assignment delay on dashboard; miners with null UIDs cannot receive emission