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An animated explainer video breaking down the concept of the technological singularity—its origins with Ulam, von Neumann, I.J. Good, and Vernor Vinge, why exponential growth may not go vertical, potential feedback loops, limits, and what AI researchers actually predict.
Quanta Magazine 探索「注意力」机制如何成为现代 AI 的核心：从 Dzmitry Bahdanau 2014 年的机器翻译研究，到 Google 2017 年的 Transformer 论文，再到 ChatGPT 等大语言模型的崛起。
1984年苏联学者A. V. Brushlinsky的文章，从辩证逻辑和科技哲学角度论证人工智能不可能实现，认为机器的'分离式'结构与人类思维的连续、有机过程有本质区别。
The article discusses the historical portrayal of AI in creative works and introduces the Internet Archive's Vintage Artificial Intelligence collection, showcasing early home computer programs that simulate thinking machines from the 1970s to 1990s.
This post highlights Claude Shannon's foundational contributions to modern computing and AI, including information theory, the invention of logic gates, and early computer chess programming, which helped kick-start machine learning.
MIT Press announces 'Inventing ELIZA', a book exploring how the first chatbot shaped the future of AI, authored by multiple contributors and due for release in July 2026.
This article is the first part of the AI Engineering Panorama series. From a historical perspective, it reviews the evolution of GPUs from gaming graphics cards to AI accelerators, the bold bet of CUDA, the independent path of Google's TPU, and why NVIDIA ultimately prevailed. It also provides a detailed analysis of the underlying logic of AI infrastructure such as chips, supply chain, networking, and power.
A 2026 blog post revisits M.H. van Emden’s 1982 vision of “Computer-Aided Thought” and argues that today’s conversational LLMs fail to deliver the structured, logic-based, friction-generating interlocutor he envisioned.
The article reflects on the history of text generation, drawing parallels between modern LLMs like GPT-4 and earlier concepts from Jorge Luis Borges and Claude Shannon. It explores how Shannon's probabilistic experiments and Borges' 'Library of Babel' metaphor help clarify fundamental questions about the nature of generated text and data structure.