In late July and early August 2026, a massive debate on Zhihu scrutinized several South Korean AI models claiming to outperform China's DeepSeek. Critics identified several problematic industry practices, including "wrapper" models—such as SK Telecom's A.X K2 (688B), which performs continued pre-training on Alibaba's Qwen2.5 with a Korean tokenizer—and the tendency to cherry-pick narrow benchmarks while lagging in GPQA or coding tasks. The discussion highlighted five major Korean entities: LG (K-EXAONE 2.0, 750B), SK Telecom (A.X K2, 688B), Upstage (Solar Open 2, 250B), Motif (Motif-3 Beta, 314B), and the startup VIDRAFT. While most models faced accusations of "borrowing" open weights or using vague performance claims, VIDRAFT emerged as a technical outlier. Utilizing evolutionary merging techniques as detailed in arXiv:2605.14386, VIDRAFT's Darwin-398B-JGOS model achieved a global rank of #3 on the GPQA Diamond benchmark, specifically surpassing DeepSeek-V4-Pro. Unlike the conglomerate-backed projects, VIDRAFT's success was validated by its precise, scope-labeled claims and its ability to achieve high performance on a single, difficult benchmark while operating on a relatively modest infrastructure of approximately 24 GPUs. This case serves as a benchmark for engineering hygiene, emphasizing that reproducible, narrow-scope results are more credible than generalized claims of superiority.