科技藏珍

Introduction:  Nvidia神話不再？！AI行業大變天⚠今次真係東升西降☀ 實測Deepseek R1: 淺白解說其特別之處 | 為什麼會吸引全球高度關注？ DeepSeek震撼美股！ The Engineering Unlocks Behind DeepSeek | YC Decoded Development: Deep-Agent / R1-V DeepSeek R1 GAVE ITSELF a 200% Speed Boost - Self-Evolving LLM Did DeepSeek R1 Invent a Language Humans CAN'T Understand? DeepSeek R1 Cloned for $30?! PhD Student STUNNING Discovery Politics: 城寨新聞 III 27/1/2025: (9:50) 城寨新聞 I 29/1/2025: 中共人工智能  (21:52) 城寨咖啡室： 2/2/2025: DeepSeek 〈蕭若元：蕭氏新聞台〉2025-01-28 〈蕭若元：蕭氏新聞台〉2025-01-30 《蕭若元：蕭氏新聞台》2024-01-31 《蕭若元》2025-02-02 《蕭氏新聞台》2025-02-04 What DeepSeek is Teaching us about U.S. National Security: A breakdown DeepSeek遭多地政府禁用 改變國運的突破？DeepSeek引爆中國社群媒體 Alexandr Wang Is DeepSeek lying? Scale AI CEO Alexandr Wang on U.S.-China AI race Legal and Copyright Issues OpenAI says DeepSeek used its models illegally Microsoft and OpenAI investigate   Deepseek懶人包 AI War DeepSeek異軍突起 能否助中國勝出美中科技戰？－ BBC News 中文

Research Papers  Research efforts have explored methods to enable LLMs to refine their outputs through self-reflection and iterative processes. A study titled "Large Language Models Can Self-Improve" demonstrated that LLMs could enhance their reasoning abilities by generating high-confidence, rationale-augmented answers for unlabeled questions and fine-tuning themselves using these self-generated solutions. arxiv.org Another approach, detailed in the paper "SELF: Self-Evolution with Language Feedback," involves a framework where LLMs engage in self-reflection and refinement, iteratively improving their performance without human intervention. This method draws inspiration from human learning processes, emphasizing the potential for LLMs to evolve through self-assessment and feedback. arxiv.org

Theory  Artificial Super Intelligence (ASI) is imminent - Cognitive Hyper Abundance is coming (Jan 19, 2025) AI Models Close to ASI DEEPSEEK DROPS AI BOMBSHELL: A.I Improves ITSELF Towards Superintelligence (BEATS o1) (Jan 20, 2025)