## 🔍 Core Insights Large language models (LLMs) remain deficient in **abductive reasoning** and **embodied simulation**, limiting their ability to achieve original scientific leaps—such as the 'Wang Conjecture' [1]. Concurrently, **Kimi has completed a Series F funding round exceeding $3.5 billion**, establishing a new domestic record for single-round financing by a Chinese AI company—highlighting continued capital commitment to the commercialization trajectory of **multimodal large models** [2]. ## 🚀 Key Updates - **Kimi secures over $3.5 billion in Series F funding** [2]: A new record for Chinese AI firms; proceeds will be prioritized toward multimodal model R&D and enterprise-grade application deployment. - **U.S. adds Chinese power inverters and advanced robotics equipment to its 'Covered List'** [3]: China's Ministry of Commerce deems the move discriminatory and warns of necessary countermeasures—global intelligent hardware supply chains face mounting pressure. - **HTML+CSS emerges as the optimal intermediate format for AI-generated PowerPoint presentations** [4]: Verified through hands-on testing by Yu Bao, this approach strikes the best balance between rendering fidelity and human editability; GPT-5.6 significantly outperforms Claude Opus in this context. - **Pudong New Area achieves GDP of ¥1.88 trillion and leading-industry output of ¥938.2 billion** [5]: Leveraging a dual-engine strategy of 'hard tech + finance,' Pudong is forging a national benchmark for innovation in science-and-technology finance. - **Chen Mian, founder of Yanyu Technology, reflects on survival principles for AI application companies** [2]: Amid the 'model-eats-applications' cycle, he stresses that 'speed,' 'aggressiveness,' and 'business-model penetration power' are critical determinants of viability. - **LLMs cannot yet achieve scientific paradigm shifts like the 'Wang Conjecture'** [1]: DeepMind's position paper and Terence Tao's lecture jointly identify the absence of **abductive reasoning** and **physical-world embodied simulation** as fundamental bottlenecks constraining AI's scientific creativity. ## 🔗 Sources [1] Why AI Can't Propose the Next 'Wang Conjecture' — https://www.bestblogs.dev/article/3dc83811c9?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [2] Morning Brief: Flagship smartphone core components now cost over ¥4,000; Li Auto responds to i6 auto-parking recalibration issues; Kimi closes Series F round exceeding $3.5 billion — https://www.bestblogs.dev/article/be2f9d4646?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [3] U.S. Adds Foreign Power Inverters and Robotics Equipment to 'Covered List'; China's Ministry of Commerce Responds — https://www.bestblogs.dev/article/ee5b888687?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [4] AI-Generated Presentations: HTML+CSS Is the Optimal Intermediate Format — https://www.bestblogs.dev/status/2082643908144615771?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item [5] ¥1.88 Trillion GDP, ¥938.2 Billion Leading-Industry Output—Shanghai Pudong: A Two-Way Convergence of 'Hard Tech + Finance' — https://www.bestblogs.dev/article/c4296d101e?utm_source=rss&utm_medium=feed&utm_campaign=resources&entry=rss_article_item