Google I/O conference will focus on AI strategic transformation layout, Tencent promotes large models

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On April 29, Google (GOOG) announced that it will hold a special live broadcast program “The Android Show: I/O Edition” on May 14, 2025 Beijing time, one week earlier than the Google I/O Developer Conference originally scheduled to open on May 20.

Start I/O conference warm-up, focusing on AI strategic transformation
Google said that this special program will focus on the new features of the Android 16 system and the latest progress of the ecosystem. This adjustment continues Google’s strategic transformation in recent years-since last year’s I/O conference, the search function has been reconstructed as the core of AI, and Gemini has been deeply integrated into Android phones and documents and other service systems.

Google also confirmed that Android-related updates will still occupy an important position in the I/O keynote speech and technical sub-venues, including the new UX design language Material 3 Expressive, Android XR extended reality system and in-car Gemini applications.

It can be said that the annual I/O developer conference, this annual technology event is regarded as a key stage for Google to re-establish its core position in the global AI competition. According to the information disclosed so far, the highlight of this conference is the systematic display and multi-platform layout of Gemini 2.5, Google’s most advanced artificial intelligence model to date.

At present, the Gemini model has been integrated into the Google AI Studio and Vertex AI platforms, and is open to the public through the Gemini Advanced application, forming a relatively complete product matrix. Therefore, this conference may become the starting point for the comprehensive transformation of Google’s AI strategy, and may also reshape its valuation logic in the capital market.

Tencent reconstructs the hybrid large model R&D system
At the same time, on April 30, Tencent’s (TCEHY) strategy and deployment in the field of large models are still evolving. It is reported that Tencent has comprehensively reconstructed its hybrid large model R&D system, focusing on the three core sectors of computing power, algorithms and data, refreshing team deployment, and increasing R&D investment.

After the adjustment, Tencent established two new departments: the large language model department and the multimodal model department, which are responsible for exploring the cutting-edge technologies of large language models and multimodal large models, continuously iterating basic models, and improving model capabilities.

In addition, the data capabilities of large models and the construction of platform foundations will be further strengthened. The data platform department will focus on the full-process management and construction of large model data, while the machine learning platform department will focus on the construction of machine learning and big data integration platforms, providing a comprehensive and efficient PaaS platform foundation for AI model training and reasoning, and big data business, and jointly supporting Tencent’s mixed large model technology research and development.

Tencent officials said that this means that Tencent is rapidly adjusting its organizational structure to cope with the ever-changing development of the large model industry. This adjustment is conducive to integrating resources, optimizing R&D processes, and further enhancing Tencent’s long-term technical combat capabilities in the field of AI. This is also another important organizational structure adjustment by Tencent in the field of AI recently.

It has to be said that in the context of the rapid development of the digital economy, AI technology has been fully integrated into social production and life. Since the mid-18th century, mankind has experienced three industrial revolutions and is now ushering in a new round of scientific and technological revolutions and industrial changes. Artificial intelligence is a strategic technology leading this round of scientific and technological revolution, with a strong spillover and driving “head goose” effect.

WiMi deepens the integration of AI technology and core business
According to the data, as an elite in the AI ​​industry, WiMi (WIMI) actively promotes the multi-model strategy of “core technology self-development + embracing advanced open source”, builds an efficient communication and cooperation platform, promotes the combination of multimodal large models and spatial computing technology, and realizes the native-level integration of multimodal data such as text, images, audio, and video, fully demonstrating the new achievements and broad prospects of AI technology in the field of commercial applications.

In fact, WiMi also accelerates the development of humanoid robot technology, establishes an innovation system, combines AI vision, chips and other technologies to improve the flexibility and intelligence of robots, and explores applications in consumer electronics and industrial scenarios. This shows that WiMi’s layout in the field of AI is constantly accelerating, and its pace is accelerating. Its multimodal processing capabilities will vigorously promote the development of the AI ​​industry and promote the deep integration of AI technology and the real economy.

Conclusion
Microsoft announced that it will integrate the GPT version into its “Bing” search engine, and large model tools such as Huawei’s “Pangu” and Baidu’s “Wenxin Yiyan” have been launched one after another and quickly updated and iterated. In this process, China’s AI has achieved a major transformation from a “computing power follower” to an “algorithm definer” by relying on DeepSeek’s open source, low-cost, and high-performance algorithm innovation, promoted the popularization of AI technology, and is triggering a new round of technological competition in the field of artificial intelligence.

Eric Lee

Eric Lee

Eric Lee is a speaker, business advisor, and authority in financial field.In his diverse and accomplished career, he has been traintee in a small company at the high school and college levels, worked as an economic analysist in a listed company , and worked in management as a VP at the corporate level, overseeing agencies throughout North America.