The article reflects on the deep joy and philosophical significance of programming, comparing it to creating a personal universe, and explores how understanding computer science parallels physics while emphasizing creativity, problem‑solving, and the ultimate challenge of building operating systems.
The article explores how over‑reliance on proven modeling routines can create superficial results, warns of the danger of formalism, and offers philosophical perspectives—phenomena vs. essence, dialectics, critical thinking, and abstraction—to deepen and rejuvenate mathematical modeling practices.
This article explores the true nature of modeling as a way of abstracting, structuring, computing, and validating complex systems, outlines its four essential stages, discusses philosophical foundations, domain variations, and common pitfalls, and emphasizes its role as both a tool for understanding and shaping the world.
Mathematics, often seen merely as a logical tool or language, is argued to be a profound cultural force that shapes human civilization, from its historical development and cross‑cultural transmission to its aesthetic beauty, creative processes, and the need for reflective, culturally‑aware education.
The essay explores why AI systems produce hallucinations by viewing their reality as a vast fictional narrative built from human language data, arguing that their knowledge is bounded by the corpus they ingest, and reflecting on philosophical limits of language and truth.
In an era of information overload, this essay examines how accumulating knowledge can paradoxically lead to poor decisions for engineers, explores the distinction between knowledge and wisdom, and offers practical steps to transform raw information into insightful, context‑aware judgment.
This essay examines how our obsession with metrics—likes, reads, KPIs, and GDP—can distort reality, urging a balance between data‑driven decisions and the unquantifiable values of creativity, happiness, and freedom.
The article explores the lifelong challenge of matching versus transcending standards, using vector distance, cosine similarity, and transformation matrices as metaphors, and illustrates the concept through personal examples and the film Nezha, urging readers to question and reshape the norms that guide them.
The article reflects on the true nature of technology, describing it as a dynamic, recursive creative system that evolves through combinatorial innovation, recursion, and the capture of natural phenomena, and illustrates these mechanisms with examples from mathematics modeling and historical technological breakthroughs.
Mathematical modeling can be viewed through three distinct philosophical lenses—positivism, which trusts data alone; structuralism, which seeks underlying mechanisms via theory; and instrumentalism, which prioritizes practical problem‑solving—each offering strengths and trade‑offs, and often blending as modelers shift between data‑driven and theory‑driven approaches.
The article argues that modeling is a process of understanding and exploration rather than mere problem‑solving, introduces a “27‑Method” framework spanning time, space, and analogy, advocates progressive, elegant models, emphasizes the equal partnership of data and models, and links modeling to philosophical principles.
The essay explores how Zen meditation’s practice of observation, letting go, and continuous awareness parallels mathematical modeling, emphasizing the need to strip away complexity, focus on essential structures, and treat modeling as an ongoing habit rather than a one‑off task.
Exploring the essential role of mathematics, this article traces its evolution from ancient survival tools to a universal language of rational thought, examines how its applications shape modern life and technology, highlights its limitations, and envisions its future as a bridge across disciplines.
The article explores how the rise of generative AI reshapes software development, arguing that engineers must blend hard technical expertise with philosophical thinking and soft skills such as reasoning, curiosity, creativity, and empathy to collaborate effectively with AI tools and navigate emerging ethical challenges.
Drawing on general systems theory, this article explains how open chemical systems like the human metabolism maintain dynamic balance through continuous exchange of matter and energy, illustrates concepts such as dynamic steady state and convergent outcomes, and relates these principles to personal resilience and life’s adaptable pathways.
The article explores how underlying philosophical perspectives—realism, instrumentalism, and utilitarianism—shape the way we construct and apply mathematical models, influencing both our understanding of reality and the practical effectiveness of modeling in fields such as physics and traffic optimization.
This article explores the philosophical foundations and systematic components of mathematical modeling—Dao, Li, Fa, Shu, Qi, Shi, Yong, Shen, and Xing—highlighting how each dimension shapes the practice, tools, methods, and creative insight behind effective model building.
Exploring the interplay of chaos and order, this article examines their mathematical foundations—from chaotic dynamics and the butterfly effect to geometric regularities—and extends the discussion to everyday life, showing how recognizing patterns amid uncertainty can bring balance, meaning, and stability.
Long before the West embraced negatives, Chinese mathematicians of the Han era employed symbolic notation and sophisticated methods—documented in the Nine Chapters on the Mathematical Art—to solve debts, land surveys, and resource allocations, linking the concept to yin‑yang philosophy and later spreading via the Silk Road to the world.
This article explains Zeno’s four classic paradoxes—Achilles and the Tortoise, the Dichotomy, the Arrow, and the Stadium—and shows how modern mathematics, especially infinite series and calculus, resolves each paradox, illustrating the bridge between ancient philosophy and contemporary mathematical thought.
This essay explores why mathematics, while crucial in specialized fields, is not indispensable for daily activities, highlighting its quantitative nature, alternative expressions in art, personal relevance, and how recognizing its limited everyday role can reveal its true value.
The article explores Shing‑Tung Yau’s classification of mathematicians into three groups—those who create theory, those who uncover patterns from phenomena, and those who solve major problems—highlighting their distinct contributions to mathematical innovation, problem solving, and the pursuit of beauty.
The article explains the entropy increase law (the second law of thermodynamics), illustrating how isolated systems become more disordered, why heat flows from hot to cold, and how everyday examples like cooling coffee or refrigerators demonstrate local order at the cost of greater overall disorder.
This article examines whether the world is governed by chance or necessity, discussing quantum uncertainty, classical determinism, the dual role of knowledge, and how mathematics, probability, AI, and big‑data analytics together shape our ability to understand and forecast complex systems.
This article explores how mathematics provides precise, universal language, science offers empirical investigation, and philosophy supplies foundational questioning, illustrating their interconnections and distinctions through examples like Euclidean geometry, Newton’s law of gravitation, and Plato’s theory of forms, and highlighting their shared pursuit of discovery.
The article shares key insights from Dr Wu Jun’s book on mathematical modeling, emphasizing the power of simplicity, iterative refinement, abundant accurate data, and noise analysis while also offering broader philosophical reflections on problem‑solving, algorithms, education, and information.
This essay explores how focusing on enduring abstract models rather than transient knowledge, drawing from philosophy, mathematics, and computer science, can guide a more meaningful and adaptable learning journey.
The article argues that true learning should focus on enduring abstract models rather than transient knowledge, exploring computer fundamentals such as binary states, Von Neumann architecture, compilation theory, distributed systems, and advocating methodological approaches like universal doubt and independent thinking.
This article explores what truly lasting knowledge is by examining abstract models, philosophical approaches like agnosticism and universal doubt, and fundamental computer concepts such as the Von Neumann architecture, compilation theory, and distributed systems, urging learners to focus on underlying models rather than transient facts.
The article explores why learning abstract models, fundamental computer concepts, and philosophical methodologies is more valuable than merely acquiring transient knowledge, emphasizing mathematics, binary logic, Von Neumann architecture, compilation, distributed systems, and independent critical thinking.
The article explores the ancient concepts of “Dao, Fa, Shu, Qi” and maps them to modern software development, showing how tools, techniques, architectural strategies, and market trends together shape a developer’s growth and career decisions.
This essay explores how scientific worldviews—from Aristotle’s teleology through Newtonian mechanics, Einstein’s relativity, and Darwinian evolution to quantum theory—have evolved as observations improve, highlighting the tension between instrumentalism and realism and applying these insights to the practice of enterprise architecture.
The article explores the Unix philosophy, emphasizing the KISS "keep it simple" principle and detailing four practical guidelines—clarity, modularity, composition, and optimization—that help developers build clean, maintainable software.
In this salon talk, Liu Jun explores the dialectical relationship between products and product managers through philosophical lenses, shares daily work scenarios, presents the Iceberg Model of product management, and outlines essential knowledge, skills, and qualities for becoming an outstanding product manager.
This article chronicles Yukihiro Matsumoto’s journey from his early fascination with computers in school, through his self‑taught language experiments and the creation of Ruby during Japan’s economic downturn, to his reflections on programming as a lifelong, creative, and human‑centered pursuit.
This essay explores the philosophical differences between Linux and Windows, arguing that Linux assumes knowledgeable, responsible users, and illustrates how expectations can shape behavior through the Pygmalion effect, while also reflecting on freedom, liberty, and personal choice of operating systems.
The article explores how mathematical thinking—ideas, techniques, and abstraction—underpins software architecture, shaping problem‑solving, modeling, and design, and argues that a solid mathematical foundation can elevate an architect’s ability to create elegant, scalable systems.
The essay explores how information, translation, and hierarchical structures underpin our perception of reality, linking bio‑hacking, physics, culture, and philosophy while highlighting the quest for a unified key to connect all levels of existence.
The article philosophically examines whether time is a basic material of the universe by discussing cellular clocks, Planck time, black holes, deterministic causality, and Rafael Sorkin's causal‑set theory, highlighting paradoxes that arise when treating time as a fundamental substance.
