Former Google CEO: Open source has become an important feature in AI development

July 26, atWorld Artificial Intelligence ConferenceWAIC) on which former Google CEO Eric Schmidt (Eric Schmidt) around the phrase "theAIOn the theme of "Prospects for Global Cooperation", Mr. Shen Xiangyang, Chairman of the Council of the Hong Kong University of Science and Technology (HKUST), had a "Fireside Dialogue" with Mr. Shen.

Former Google CEO: Open source has become an important feature in AI development

On July 26, at the World Artificial Intelligence Conference (WAIC), former Google CEO Eric Schmidt had a "fireside chat" with Shen Xiangyang, Chairman of the Council of the Hong Kong University of Science and Technology (HKUST), centering on the theme of "Prospects for Global Collaboration in Artificial Intelligence".

Schmidt emphasized that over the past two yearsChina's AI technology, especially DeepSeek and big models such as Mini Max and Kimi, has achieved world-renowned success.Schmidt noted that "not all of these leading AI models in China have a closed strategy as in the US." And this has become a key feature in current AI development.

During the conversation, Schmidt confessed that he was more inclined to support theOpen Source. It says that while there are some potential risks associated with open source technology, humans can manage those risks by setting some constraints and adjusting them as needed. And for that, Schmidt argues:

The crux of the matter is who the 'editors' of the technologies are and where these technologies are being applied and where to put 'guardrails'. The ideal scenario is that we can train and align these models to human values.

in addition,Schmidt believes that future collaboration between superintelligences is ultimately inevitable.Because with the development of technology, human beings will have a super-intelligent system, and in the future these systems will have the ability to collaborate and coordinate with each other. For this situation, Schmidt believes that "Chinese and Western researchers need to be able to communicate with each other, collaborate and explore, and reach consistency in terms of values".

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