3 6 Ke·2025-12-14 01:34Core Insights - Google co-founder Sergey Brin acknowledged the company's failure to capitalize on the transformative potential of the Transformer architecture, which was introduced in 2017, leading to a significant delay in product development compared to competitors like OpenAI [1][4][7]. Group 1: Historical Context - In 2017, Google released the groundbreaking Transformer paper, which sparked the large model era, but failed to push the technology to market effectively [1][5]. - Despite recognizing the disruptive potential of AI, Google was hesitant to deploy it due to concerns over product reliability and control [3][4]. - By the end of 2022, with the emergence of ChatGPT, Google realized that its setbacks were not due to a lack of technology but rather a failure in organizational mindset and expectations [6][7]. Group 2: Current Developments - Brin returned to Google in late 2022 to actively participate in the development of Gemini, demonstrating a commitment to redefining collaboration with AI [8][10]. - He emphasized that AI should not be viewed merely as a tool but as a new way of working, integrating it into daily tasks and decision-making processes [9][10]. Group 3: Strategic Direction - Gemini is positioned not just as another chatbot but as a comprehensive toolchain aimed at transforming how tasks are completed, moving beyond simple query responses [11][12]. - Recent product updates for Gemini include the launch of Gemini 3 Pro, which focuses on multi-step reasoning and complex task capabilities, and Gemini Deep Research, which enhances research workflows [13][14]. - Google aims to create a platform ecosystem that integrates various AI models and tools, enhancing usability across its services rather than focusing on a single model's performance [15][16]. Group 4: Advice for Future Generations - Brin advised young people to continue pursuing computer science, emphasizing that while AI can assist in coding, the demand for skilled engineers remains high [18][19]. - He highlighted the importance of structured thinking and the ability to leverage AI effectively, suggesting that AI lowers learning barriers but does not eliminate the need for technical expertise [20][21]. - For entrepreneurs, Brin encouraged a focus on creating usable tools before scaling, stressing the importance of delivering practical solutions to users [22][23]. Conclusion - The narrative illustrates Google's journey from missing an initial opportunity to actively engaging in AI development, driven by leadership participation and a commitment to practical application [24][25][28].