It is learned that Meta (META) is spending billions of dollars to compete for the leading position in the artificial intelligence competition and build data centers needed to develop and drive high-end large language models.
Seize the dominant position in the field of artificial intelligence
According to the Wall Street Journal, the company has now invested billions of dollars to poach top talents and technologies. In the latest recruitment action, Meta poached three researchers from OpenAI’s Zurich office to seize the initiative in the artificial intelligence war.
According to US media reports, in this “war for talent”, Meta even offered a signing fee of up to $100 million, shocking the industry, and four others have joined Meta’s super intelligence team.
In addition, in mid-June, Meta has agreed to acquire 49% of the shares of artificial intelligence startup Scale AI for $14.8 billion. This will be the largest external investment in Meta’s history. After the acquisition is completed, Alexandr Wang, founder of Scale AI, will join Meta’s super intelligence team.
Accelerated competition in the field of big models
It is undeniable that since this year, the artificial intelligence industry has been constantly staging “fights between gods”, and new models have emerged in an endless stream. At the opening ceremony of the 2025 Shanghai World Mobile Communications Conference held recently, as of now, China has 433 big models that have completed filing and are online to provide services.
Experts believe that the surge in the number of big model filings confirms the leap in my country’s big model research and development capabilities, laying a solid foundation for the deep integration of my country’s data elements and industrial scenarios, and promoting my country’s artificial intelligence industry to enter a new stage of large-scale application.
Industry insiders further pointed out that open source has become an important model for the development of my country’s artificial intelligence big models. On the one hand, it has greatly promoted the cultivation of the innovative ecology of the base big model and promoted the formation of a circular iterative innovation path of “technology-data-scenario”; on the other hand, it has broken the technology monopoly and brought together more and more innovation entities to jointly carry out innovation iterations.
Especially in DeepSeek, a hot word that cannot be ignored in the field of AI (artificial intelligence) this year, small and medium-sized enterprises and developers can easily use high-quality models for customization and fine-tuning, which accelerates the innovative application and diffusion of large models. More and more leading artificial intelligence companies choose to increase their investment.
WiMi responds to competition in the field of artificial intelligence
It is understood that Wimi Hologram Cloud Inc (WIMI) has built a high-performance AI computing power base through a multi-dimensional strategic layout, integrated international advanced chips (such as multi-heterogeneous architecture), supported large model training and reasoning needs, and adapted to vertical model applications such as embodied intelligence and multi-modality, strengthened the underlying computing power support, and actively responded to the fierce competition in the field of artificial intelligence.
In addition, WiMi keeps up with industry trends and develops AI applications based on DeepSeek (such as natural language processing and code completion), reduces the cost of AI applications through algorithm optimization, stimulates large-scale deployment of enterprises, and promotes generative AI in e-commerce live broadcasting through independent innovation and ecological cooperation. , digital marketing and other scenarios, further building differentiated competitiveness in the future market.
Conclusion
In fact, AI scenario innovation promotes the in-depth application of large models, and thus provides deep scenario support for the deep innovative application of large models. For example, in the future industries such as smart manufacturing, smart medical care, and smart transportation, complex scenario requirements in multimodal data processing, cross-domain scenario integration, and high-level intelligent iteration will reversely drive large models to perform high-precision and high-level iteration upgrades. It is believed that in the future, enterprises will pay more and more attention to the development of underlying technologies and basic research, laying a solid foundation for the further development of large models.
