The course on the Internet and Digital Revolution has changed my perspective toward both technology and myself. Whereas before this course I viewed AI and digitization as purely technical achievements—faster processors, smart algorithms, better tools—I now see them as cultural and creative milestones. The digital world is the result not just of engineering but also of imagination, collaboration,...

Artificial intelligence has passed from a scientific dream into a social force. The benefits are undeniable: digital systems perform surgery with accuracy, predict climate trends, and connect billions of people. Yet the liabilities-bias, surveillance, and dependency-grow in parallel. Defending AI as a net positive necessitates understanding its dual nature: it magnifies both our intelligence and...

Digitization was always about control. When those early computer scientists converted the analog waves to binary code, they got precision, storage, and scalability-but lost texture and spontaneity in the process. Deep learning continues that trade-off today: it detects invisible patterns to the human eye but cannot yet understand why. Historically, this pattern echoes earlier technologies:...

If we trace humanity's tools of thought-from clay tablets to cloud computing-we find the progressive digitization of intelligence itself. The first written symbols of 3400 B.C. were proto-digital in spirit: each mark encoded meaning in a repeatable form, allowing ideas to persist beyond memory. The printing press amplified that process, and the telegraph transformed language into electrical...

The human cortex-our brain's "processor"-has inspired everything from early telegraph networks to modern neural networks. Just as ancient scribes once digitized oral traditions into written text, today's engineers digitize human cognition into data models. Each act of translation-sound to symbol, neuron to node-requires trade-offs. While the cortex processes sensation with biological nuance, a...

Artificial neurons are mathematical abstractions of their biological counterparts. They mimic the way electrical signals fire and combine in the human brain, but they leave out the chemistry of consciousness: the hormones, memories, and emotions that color thought. In exchange for digitizing the neuron, we get precision and scalability: millions of connections can be simulated in an instant,...

Today’s AI agents, like digital assistants and autonomous bots, owe their existence to a century-long chain of visionaries who bridged science and society. From Alan Turing’s abstract idea of “machines that think,” to the hacker culture of the 1980s, to the open-source communities of today, each generation shaped a social environment that redefined creativity itself. The digital revolution has...

Artificial General Intelligence (AGI) represents a new frontier in the digital revolution, one that challenges our definition of what it means to be digital. Unlike narrow AI systems that operate within fixed parameters, AGI seeks to emulate the flexibility, creativity, and problem-solving power of the human mind. To be “digital” is to translate analog complexity, emotion, language, perception,...

For our assignment, I created a paper weaving design that spelled out my initials, HW. At first glance, it was just strips of paper going over and under each other, but the process felt like a clear metaphor for the transition from analog to digital systems. The weaving itself represents analog: it is physical, tactile, and continuous. Each strip overlaps another in a pattern that builds up...

When I first started learning about artificial intelligence, one of the most eye-opening concepts was the idea of a neural network. At its core, a neural network is modeled after how the human brain processes information. It begins with input nodes, which are like the senses of the system—they take in raw data such as numbers, text, or images. That information is then passed into hidden layers,...