November 14, 2025 News
Databricks Co-Founder Warns US Risks Losing AI Leadership to China Due to Closed Research Models
Andy Konwinski, Databricks co-founder, warns that the US is losing AI dominance to China as major American AI labs keep research proprietary while China encourages open-source development. He argues that US companies hoarding talent and innovations threatens both democratic values and long-term competitiveness, calling for a return to open scientific exchange. Konwinski contends that China's government-supported open-source approach is generating more breakthrough ideas, with PhD students citing twice as many interesting Chinese AI papers as American ones.
Skynet Chance (-0.03%): Advocating for open-source AI development and broader academic collaboration could improve transparency and enable more distributed safety research, slightly reducing risks of uncontrolled proprietary systems. However, the competitive pressure and geopolitical framing could also drive faster, less cautious development.
Skynet Date (-1 days): The call for increased US investment and competitive urgency with China, framed as an existential threat, could accelerate AI development timelines as resources are mobilized. Open-source proliferation may also speed capability diffusion globally, potentially advancing both beneficial and risky applications sooner.
AGI Progress (+0.02%): The observation that Chinese labs are producing more breakthrough ideas through open-source collaboration suggests the global pace of foundational AI innovation is accelerating. The competitive dynamic described indicates multiple nations are making significant progress on core AI architectures and techniques.
AGI Date (-1 days): The competitive framing as an "existential" national security issue will likely trigger increased government funding, corporate investment, and research prioritization in both the US and China. This geopolitical AI race, combined with open-source proliferation enabling faster global iteration, significantly accelerates the timeline toward AGI capabilities.