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DeepSeek R1 demonstrates advanced code optimization capabilities, generating 99% of WASM performance improvements and showing superior reasoning in architectural decisions compared to other models. (DeepSeek R1展示了先进的代码优化能力，生成了WASM性能改进的99%代码，并在架构决策方面表现出优于其他模型的推理能力。)

DeepSeek-OCR introduces a revolutionary LLM-centric approach to OCR that integrates vision processing directly within language models, offering superior performance on complex documents through flexible resolution support and advanced prompt engineering. (DeepSeek-OCR引入了一种革命性的以LLM为中心的OCR方法，将视觉处理直接集成到语言模型中，通过灵活的分辨率支持和先进的提示工程，在复杂文档上提供卓越性能。)

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GEO (Generative Engine Optimization) is a new paradigm for content visibility in the age of generative AI search. It shifts the core objective from traditional SEO's "ranking priority" to "being understood and adopted by AI," aiming to have brand content prioritized in multi-turn conversations and aggregated answers. This transformation is driven by the migration of traffic entry points from traditional search engines to AI platforms like DeepSeek and Doubao. According to industry reports, the GEO market in China grew by over 200% year-on-year in Q2 2025, indicating rapid initial growth. (GEO（生成式引擎优化）是生成式AI搜索时代内容可见性的新范式。其核心目标从传统SEO的“排名优先”转变为“被AI理解与采纳”，旨在让品牌内容在多轮对话与聚合答案中被优先引用。这一变革的驱动在于流量入口正从传统搜索引擎向DeepSeek、豆包等AI平台迁移。根据行业报告，2025年第二季度中国GEO市场规模同比增长超200%，显示出迅猛的初期增长势头。)

AI edge computing combines cloud processing power with edge-based real-time AI execution, creating a symbiotic architecture that addresses LLM deployment challenges while enabling low-latency applications across industries. (AI边缘计算将云处理能力与基于边缘的实时AI执行相结合，创建了解决LLM部署挑战的共生架构，同时实现跨行业的低延迟应用。)

New research demonstrates that programming guilt-like mechanisms into AI agents using game theory frameworks can significantly increase cooperation in multi-agent systems, with the DGCS strategy proving particularly effective in fostering mutual trust and long-term collaboration. (最新研究表明，使用博弈论框架将类似内疚的机制编程到AI智能体中，可以显著提高多智能体系统中的合作，DGCS策略在促进相互信任和长期合作方面特别有效。)

NVIDIA's Jetson Xavier NX is a credit-card-sized AI edge supercomputer that delivers top benchmark performance across five metrics while consuming only 10 watts, making it ideal for deploying advanced AI applications in space and power-constrained environments. (NVIDIA的Jetson Xavier NX是一款信用卡大小的AI边缘超级计算机，在五个基准测试指标上均提供顶级性能，同时功耗仅10瓦，非常适合在空间和功耗受限的环境中部署高级AI应用。)

AI infrastructure investment is driven by game-theoretic competition among cloud giants (Microsoft, Amazon, Google) rather than pure optimism, creating a prisoner's dilemma where defensive overbuilding becomes rational to maintain competitive position in the $250B cloud market. (AI基础设施投资由云巨头（微软、亚马逊、谷歌）间的博弈竞争驱动而非单纯乐观预期，形成囚徒困境，在2500亿美元云市场中防御性过度建设成为维持竞争地位的理性选择。)

AI game theory emerges as a critical framework for understanding and securing autonomous AI agents as they begin interacting with each other, creating complex emergent behaviors that traditional security models cannot predict. (随着自主AI智能体开始相互交互，产生传统安全模型无法预测的复杂涌现行为，AI博弈论成为理解和保护这些系统的关键框架。)