model-degradation

Early-warning research benchmark for synthetic-data-induced model degradation using cross-dataset drift metrics, warning lead time, and statistical validation.

AI CLI tools: prompt censorship checker & bypass, model quality watchdog & degradation monitor, API cost comparison for OpenAI Claude DeepSeek Gemini. Built from real Reddit user complaints.

The Taravangian Test for AI: catch silent model degradation before your users do. SPC-based reasoning-quality monitoring for Claude, GPT, Gemini, and Grok.

Moe Subject experimental data: degradation prompts, completions, evaluation results, and analysis artifacts

Moe Subject research tools: model injection, corpus building, phase screening, training scripts

Proof of concept and conceptual framework for intrinsic mortality in AI systems, covering degradation, identity, and system-level bypass.

ML model monitoring: data drift, prediction drift, performance degradation.

Model drift detection for insurance pricing — exposure-weighted PSI/CSI, A/E ratios, Gini drift z-test

Detect AI model downgrades, spoofing & proxy routing on macOS — a Dynamic Island monitor for Codex, Claude, Cursor, Qoder and more | 检测模型降智、冒名与中转线路