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

 https://philsci-archive.pitt.edu/23903/1/The%20Selfish%20Machine_%20On%20the%20Power%20and%20Limitation%20of%20Natural%20Selection%20to%20Understand%20the%20Development%20of%20Advanced%20AI.pdf Published: 24 September 2024 Abstract Some philosophers and machine learning experts have speculated that superintelligent Artificial Intelligences (AIs), if and when they arrive on the scene, will wrestle away power from humans, with potentially catastrophic consequences. Dan Hendrycks has recently buttressed such worries by arguing that AI systems will undergo evolution by natural selection, which will endow them with instinctive drives for self-preservation, dominance and resource accumulation that are typical of evolved creatures. In this paper, we argue that this argument is not compelling as it stands. Evolutionary processes, as we point out, can be more or less Darwinian along a number of dimensions. Making use of Peter Godfrey-Smith’s framework of Darwinian spaces, we argue that the...

 https://link.springer.com/chapter/10.1007/978-3-031-25233-4_9 Chapter First Online: 29 April 2023pp 117–129 Abstract Due to their self-learning and evolutionary character, AI (Artificial Intelligence) systems are more prone to unintended consequences and more difficult to control than traditional sociotechnical systems. To deal with this, machine ethicists have proposed to build moral (reasoning) capacities into AI systems by designing artificial moral agents. I argue that this may well lead to more, rather than less, unintended consequences and may decrease, rather than increase, human control over such systems. Instead, I suggest, we should bring AI systems under meaningful human control by formulating a number of meta-values for their evolution. Amongst others, this requires responsible experimentation with AI systems, which may neither guarantee full control nor the prevention of all undesirable consequences, but nevertheless ensures that AI systems, and their evolution, do no...

  AI can now CLONE itself!   AI Can Now CLONE Itself! Chinese Researchers Make Terrifying Discovery Frontier AI systems have surpassed the self-replicating red line AI self-replication: Machine intelligence can nowreplicate independently