{"slug": "how-did-the-chinese-labs-catch-up-so-fast-if-most-of-the-early-training-work-was", "title": "How did the Chinese labs catch up so fast if most of the early training work was in the US?", "summary": "Chinese AI labs including DeepSeek closed much of the training gap with US labs such as OpenAI and Google despite the US holding a years-long head start, according to an analysis of the question. The analysis attributes the catch-up largely to open-source research papers and compute availability, while noting the data component of the equation remains unclear.", "body_md": "OpenAI, Google, etc has a years long head start on training. Then Deepseek and the other Chinese labs closed a lot of that gap in a much shorter window. How did they do this? I know open source papers and compute factor greatly. What I don't get is the data part of the equation. Besides US data labs", "url": "https://wpnews.pro/news/how-did-the-chinese-labs-catch-up-so-fast-if-most-of-the-early-training-work-was", "canonical_source": "https://aiflash.com/news/124709/", "published_at": "2026-09-23 02:00:18+00:00", "updated_at": "2026-09-23 02:25:06.018793+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-startups"], "entities": ["OpenAI", "Google", "DeepSeek"], "alternates": {"html": "https://wpnews.pro/news/how-did-the-chinese-labs-catch-up-so-fast-if-most-of-the-early-training-work-was", "markdown": "https://wpnews.pro/news/how-did-the-chinese-labs-catch-up-so-fast-if-most-of-the-early-training-work-was.md", "text": "https://wpnews.pro/news/how-did-the-chinese-labs-catch-up-so-fast-if-most-of-the-early-training-work-was.txt", "jsonld": "https://wpnews.pro/news/how-did-the-chinese-labs-catch-up-so-fast-if-most-of-the-early-training-work-was.jsonld"}}