BLOG
// ls -la ~/posts --sort=date
If We Wanted to Build an AGI, What Would We Need to Put Inside It?
An engineering look at the components of AGI: multimodal perception, types of memory, reasoning, adaptive planning, world models, tools, continual learning, verification, and safety. With a conceptual architecture diagram, the jagged capability profile, and a small Python agent.
How Do We Train AI? From a Few Random Numbers to a Model That Actually Learns
A deep dive into how neural networks are trained: initial random weights, data and batches, loss, backpropagation, gradient descent, learning rate, overfitting, and how language models are trained. With complete, real PyTorch code on FashionMNIST.
How a Computer Sorts One Million Numbers
A deep dive into sorting algorithms: why O(N²) collapses at scale, how Merge Sort, Quick Sort, Heap Sort, Counting Sort and Radix Sort work, what std::sort really does, and why the best sort is sometimes not sorting at all.
In the Age of AI, Why Does Geek Curiosity Become an Advantage?
A deep dive into the geek mindset in the AI era: seeing hidden layers, asking better questions, debugging AI outputs, systems thinking, experimentation over memorization, and why curiosity becomes a multiplier when machines can answer.
How a City Is Simulated on a Computer Before It Is Built
A deep dive into urban simulation: turning a city into a graph, travel demand, driver behavior models, Macro-to-Sub-micro fidelity levels, traffic light control with TraCI and Python, calibration against real data, and Digital Twins.
Why Robot Hands Are Harder to Build Than Robot Brains
A deep dive into Moravec's Paradox and the manipulation problem in robotics: why building a brain that decides to "pick up the cup" is easier than building a hand that can actually pick it up. Understanding hand kinematics, tactile sensing, force control, actuators, and the future of robotics.
Where Do Deleted Files Go? The Truth About Delete You Never Knew
A deep dive into what really happens when you delete a file. Understand file systems, TRIM, SSD vs HDD, thumbnails, browser cache, database logs, backups, cloud copies, and NIST media sanitization.
Understanding AI Model Names: Decoding the Technical Language of LLMs
Learn to read AI model names like a pro. Understand parameters, quantization, MoE architecture, GGUF format, and how to choose the right model for your needs.
How a CPU is Made: From Sand to Billions of Transistors
A deep dive into the journey of CPU manufacturing from sand and silica to billions of transistors. Understand wafers, EUV lithography, transistors, interconnects, packaging, and Moore's Law.