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Why DeepSeek Says Open-Source AI Could Bring AGI Closer
Gao Xi defended DeepSeek’s open source approach as a way to accelerate AGI through shared innovation, saying the real rival is time—not other companies. His case for openness is that researchers can build on shared advances and create technical breakthroughs sooner.
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Key takeaways
- Gao Xi defended DeepSeek’s open source approach as a way to accelerate AGI through shared innovation, saying the real rival is time—not other companies.
- His case for openness is that researchers can build on shared advances and create technical breakthroughs sooner.
- The trade off is that open models may heighten safety risks, an issue drawing concern in the US and scrutiny in China.
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openai.comCreate a landscape editorial hero image for this Studio Global article: How did DeepSeek engineer Gao Xi defend the company’s commitment to open-source artificial intelligence during an AI panel at the World Inte. Article summary: Gao Xi defended DeepSeek’s open-source commitment as a way to bring artificial general intelligence (AGI) closer, rather than simply gain an advantage over competitors. At the November 2026 World Internet Conference in W. Topic tags: general, general web, user generated. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fa
DeepSeek engineer Gao Xi defended the company’s commitment to open-source AI as a way to accelerate progress toward artificial general intelligence (AGI). Speaking at a World Internet Conference panel in Wuzhen, he framed the goal as speeding up shared technological progress—not defeating rival companies—while acknowledging concerns about safety risks. 1
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Why Gao argued for open-source AI
Gao’s central argument was that sharing research and innovations can let more people build on existing work and contribute technical breakthroughs. In his view, that could move AGI closer faster than keeping advances within individual companies. 3
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He described DeepSeek’s race as one against time. The benefits of major technological progress, he argued, would not depend on which company achieved it first; the priority was to make progress sooner. 1
“Ten years to one” was an ambition, not a forecast
To illustrate that urgency, Gao said that if AGI were otherwise 10 years away, he would hope to bring it within one year; if it were a year away, he hoped it could arrive “tomorrow.” Those were expressions of his desire to accelerate development, not a prediction that AGI would arrive on a particular schedule. 1
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The distinction matters: the comments describe the speed DeepSeek wants to pursue, but do not establish when AGI will be achieved. The available reporting also notes that there is no settled timeline for AGI. 1
The safety trade-off remains unresolved
Gao’s argument for openness came with a clear tension. Reporting on his comments says open-source AI can heighten safety risks, while DeepSeek’s position was discussed amid growing safety concerns in the US and scrutiny in China over possible national-security risks. 3
A separate report says DeepSeek is working on safeguards, but the material available here does not detail those measures or show how well they address the risks. 5 Gao’s case, then, is a defense of faster shared progress—not evidence that the safety trade-off has been solved.
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Gao Xi defended DeepSeek’s open source approach as a way to accelerate AGI through shared innovation, saying the real rival is time—not other companies.
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Gao Xi defended DeepSeek’s open source approach as a way to accelerate AGI through shared innovation, saying the real rival is time—not other companies. His case for openness is that researchers can build on shared advances and create technical breakthroughs sooner.
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The trade off is that open models may heighten safety risks, an issue drawing concern in the US and scrutiny in China.