Overhyped? India and South Korea Claim Self-Developed LLMs Match DeepSeek, but a Closer Look Surprises

Recent reports from Sohu suggest that India and South Korea have been touting their self-developed large language models as rivals to DeepSeek. An analysis reveals that while these models achieve impressive benchmarks, many are actually built upon existing open-source architectures, such as Llama, rather than being fully original. This raises questions about the extent of true innovation versus incremental improvements on existing technology. The article highlights specific examples from both countries, noting that despite claims of parity with DeepSeek, the underlying technology often reveals a heavy reliance on previously released models. This situation underscores the complexity of evaluating AI progress and the marketing narratives that sometimes overshadow technical realities.