Seeing how differently people prompt LLMs is funny

Users report divergent prompting strategies depending on model scale and quantization. Small-scale local deployments like GLM 5.3 Flash (q4 qat) benefit from high-precision, technical prompting, whereas larger frontier models are often subjected to aggressive, emotive feedback loops to correct errors.