Attention Is All You Need - How to Thrive in the Age of AI
A reflection on how AI amplifies execution but not human attention, and why personal growth now depends on focus, depth, and deliberate choice.
8 article(s)
A reflection on how AI amplifies execution but not human attention, and why personal growth now depends on focus, depth, and deliberate choice.
A structured, engineer‑focused introduction to the “Foundations and Frontiers of Large Language Models” series — connecting the core principles, architectural breakthroughs, engineering paradigms, and emerging system‑level patterns behind modern LLMs. This preface outlines why the series exists, who it’s for, and how it maps the evolution from statistical NLP to Transformers, from prompting to RAG, from reasoning to agentic systems, and from classical recommenders to LLM‑native paradigms.
Deconstructing language learning into a deterministic system. How an NLP engineer and former literature major reframed phonetic, auditory, and structural language acquisition through systemic feedback loops.
A professional retrospective on Will Smith's classic film, exploring the semantic layer of the American Dream and why true tech leadership requires an unyielding willpower.
A semantic and logical analysis of Stanley Milgram's obedience study, exploring how 'simply doing one's job' can inadvertently fuel destructive processes in complex organizations.
A philosophical journey through Robert Frost's classic poem, exploring the modern tech industry's struggle between relentless execution and the divine necessity of replenishment.
A cross-disciplinary retrospective on Mark Twain's classic novel, exploring how childhood psychology, game design, and systemic behavior mirror the modern tech world. Note: This is a rewriting of an old blog post by me: https://felomeng.blog.csdn.net/article/details/1527957
Looking back at my first decade in the IT industry, this post captures my evolution from a pure tech-geek to a design-focused developer, and finally, to someone who understands that thinking methods trump technical stacks. Here, I share my core philosophy on problem-solving, customer-centric development, and a practical "binary search" approach to troubleshooting. Note: This is a archived post migrated from my old Blog: https://blog.csdn.net/felomeng/article/details/51404776