专题：2026年度国际消费电子展(CES) 新浪科技讯，高通在CES 2026上正式发布Snapdragon X2 Plus处理器，这是继去年9月发布旗舰级X2 Elite和X2 Elite Extreme之后的中端产品线补充。新芯片提供6核和10核两个版本，采用第三代Oryon CPU架构，搭配80 TOPS算力的Hexagon NPU和全新Adreno X2-45 GPU。 高通表示搭载X2 Plus的笔记本将在2026年上半年正式出货，联想、惠普、华硕等主要OEM厂商都将在 CES期间发布相关产品。 责任编辑：李桐 这款芯片定位于中高端Windows笔记本市场，旨在为主流用户带来Elite级别的AI加速能力、更强的图形 性能和更高的能效比，同时保持更具竞争力的价格。 根据高通公布的数据，10核版本的X2 Plus在Geekbench 6测试中单核性能相比上一代X Plus提升35%，多 核性能提升17%；而6核版本的多核性能也有10%的提升。 在CES现场的参考设计测试中，10核版本跑出了单核3323分、多核15084分的成绩，明显领先于英特尔 Core Ultra 7 256V和AMD Ryzen A ...

Core Insights - DeepSeek has achieved a breakthrough in developing large models with lower costs while maintaining equivalent performance, prompting industry discussions on the efficiency revolution in large models [1] - Engineering innovation is seen as a crucial driver for disruptive innovation, with DeepSeek exemplifying the potential of engineering advancements in enhancing large model development [1][3] - The future of artificial intelligence will increasingly depend on the synergy between software and hardware, particularly in fields like humanoid robotics and advanced autonomous driving [1] Group 1 - The historical context of engineering innovation is highlighted, questioning why significant innovations often arise in specific locations, such as the steam engine revolution occurring in Manchester rather than London [3] - The interplay between theoretical breakthroughs and engineering optimizations is expected to lead future disruptive innovations, with both "0 to 1" and "1 to 100" processes being significant [3] - The efficiency revolution in large models is driven by a combination of architecture, strategy, and optimal software-hardware collaboration, indicating a shift from single-dimensional to multi-faceted understanding of innovation [3][4] Group 2 - DeepSeek's approach to developing large models emphasizes low computing power and cost while achieving performance equivalence, marking a shift in industry competition logic where efficiency is paramount for disruptive innovation [4] - The pursuit of energy efficiency is becoming increasingly important, suggesting that without high performance and energy efficiency, disruptive innovation may not occur [4] - Open-source initiatives are identified as essential for supporting the ecosystem of disruptive innovation [4] Group 3 - While focusing on disruptive innovation, it is crucial to consider potential disruptive harms, as current large model technologies exhibit incomplete explainability [5] - The governance of advanced AI technologies is becoming more urgent, especially as the reasoning capabilities of large models increase, leading to concerns about their compliance with instructions [5]