3 6 Ke·2026-01-18 02:21Core Insights - The current focus in the AI sector has shifted from enhancing capabilities to maximizing profitability, as highlighted by the new CNBC podcast featuring Google DeepMind's CEO, Demis Hassabis [1][2]. Group 1: AGI Capabilities - Hassabis emphasizes that current large models exhibit significant shortcomings, particularly in their ability to generalize and learn continuously, which he refers to as "jagged intelligences" [2][4]. - True AGI must possess the ability to independently formulate questions and hypothesize about the world, rather than merely responding to queries [3][4]. - DeepMind is transitioning its focus from large language models (LLMs) to developing AI that understands the world, as demonstrated through projects like Genie, AlphaFold, and Veo [6][9]. Group 2: Commercialization Strategies - The commercial viability of AI models is not solely about their strength but also about their cost-effectiveness and deployment efficiency [10][11]. - DeepMind's strategy includes creating both Pro and Flash versions of models to cater to different user needs, ensuring broader accessibility [11][12]. - Hassabis advocates for integrating AI into everyday devices, moving beyond traditional web interfaces to enhance user interaction [15][16]. Group 3: Energy Challenges - As AI capabilities expand, energy consumption becomes a critical concern, with Hassabis stating that increased intelligence will require more power [20][21]. - The industry faces a significant bottleneck in energy supply, which could hinder the practical application of AGI [22][23]. - DeepMind aims to leverage AI to address energy challenges, focusing on both generating new energy sources and improving energy efficiency [24][27]. Group 4: Competitive Landscape - The competitive dynamics in AI have shifted, with companies needing to focus on integration and deployment rather than just technological advancements [29][30]. - DeepMind has consolidated its teams to streamline AI development and deployment, enhancing efficiency and speed in bringing products to market [33][37]. - The ability to effectively utilize energy resources will be a key determinant of success in the AI sector, as highlighted by Hassabis [36][38].