#llm-evaluation

The HN interest came from a practical complaint: advertised context size does not map cleanly to the part of the window an LLM can use well.

A prominent r/MachineLearning thread highlighted arXiv 2603.01919, which audits shadow APIs claiming GPT-5 and Gemini-2.5 access and reports large performance drift, unstable safety behavior, and frequent identity-verification failures.