I've seen that looping and glitching behaviour in over-quantized (~Q4 or lower) local models like Llama and Qwen 3.x. Thus, it is likely that they quantize the model after release to save on compute costs (while giving a favourable result at launch). That quantization can result in changes to the model's behaviour (you are changing the weights) that could be interpreted as nerfing.