τeuτonic Eval Issues, New King Dethroned

Network operators reported multiple backend evaluation failures: top-performing models disappeared from incentive lists despite valid Huggingface repos, weight-matching showed false 0.0000 similarity scores, and incentive distribution malfunctioned. A new king model (jenny) emerged mid-period after extended drought. Community debated whether network reached training loss limits or if evaluation infrastructure bugs prevented legitimate model advancement.

• •Top models vanishing from incentive list despite valid registration and HuggingFace repos
• •Remote eval misreporting similarity scores as 100% identical when weights differ
• •Six-hour gap without new king model; backend system flagged as working incorrectly
• •Suspected vector attacks and shard variance exploits for overfit training
• •New king (jenny) appeared; debate over training limits vs. eval infrastructure failures