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Ideal car CEO Li Xiang: the efficiency of large model software is 1000 times that of human.

2025-01-31 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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CTOnews.com, April 2, 2023 China Electric vehicle 100 High-level Forum was held in Beijing on April 1. Li Xiang, Chairman and CEO of ideal Automobile, delivered a keynote speech on "organizational challenges of Intelligent Electric vehicles", sharing the product development process, matrix organization and new challenges faced by the organization and management of intelligent electric vehicles.

Li Xiang believes that ideal cars have two most important products: one is the smart electric car products for consumers, and the other is the organizational ability for employees. As an enterprise that has just entered the automobile industry, the ideal is to become four different types of enterprises at the same time, and the complexity of the problems faced by these four different types of enterprises is also completely different.

Over the past two years, processes and organizational practices have brought real value.

The ideal car's ability to turn the ideal ONE into explosives can be copied to all models, whether the ideal L9, L8, L7, will become an explosion after launch, and are the first-selling products in its segment.

Increased the speed of supply and production capacity climbing. Even in the epidemic situation, the ideal L9 and L8 will be able to achieve more than 10,000 deliveries in the second month of delivery, which is a very big change.

CTOnews.com learned that the matrix organizational change of ideal car will not achieve complete results until at least 2025. Because organizational change can not be achieved overnight, even its R & D cycle, promotion cycle is longer than the product, platform cycle. At the same time, the ideal is faced with a new challenge, which is the arrival of the large model software 2.0 of artificial intelligence.

Li Xiang said that when an ideal car uses a large model of software 2.0 and calibrates automatically through training, what used to be done in a year can basically be done in three hours, which is 1000 times more efficient than that of people. the work in this field is completely different.

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