Blog

Articles

All (93) AI (64) Python (24) LLM (21) Business (17) Infrastructure (16) Machine Learning (14) Investment (12) OpenAI (11)
AI Models Are Becoming Commodities: How OpenClaw and Palantir's Ontology Point to the Agent AI OS Insight
AIAgentPalantirOpenClaw

AI Models Are Becoming Commodities: How OpenClaw and Palantir's Ontology Point to the Agent AI OS

As AI model competition heats up, the real value is shifting to orchestrating and governing agents. Looking at what OpenClaw and Palantir's ontology tell us about the future.

Read more →
Beyond the 'Death of SaaS': Where Rule-Based Precision Meets AI Agents Insight
AISaaSAgentBusiness

Beyond the 'Death of SaaS': Where Rule-Based Precision Meets AI Agents

AI is shaking up the SaaS business model. Based on hands-on development experience, I explore how combining rule-based systems with AI agents points the way forward.

Read more →
Part 1: Teaching Kids to Invest — Why We Chose a Game Series
Next.jsPhaser 3TypeScriptGame DevEducation

Part 1: Teaching Kids to Invest — Why We Chose a Game

Japan mandated financial education in 2022, but most adults barely understand investing themselves. This is the story of how a decade-long quest to teach children about markets through a board game evolved from paper prototypes to a production browser game.

Read more →
Part 2: Recreating Economic Cycles with Real Japanese News Series
Next.jsPhaser 3TypeScriptGame DevEducation

Part 2: Recreating Economic Cycles with Real Japanese News

How I built a Python data pipeline to transform 70 years of Japanese economic history into game-ready event data — scraping Wikipedia, modeling macro indicators, and simulating stock prices that feel authentic.

Read more →
Part 3: Building a Production Browser Game with Next.js and Phaser 3 Series
Next.jsPhaser 3TypeScriptGame DevEducation

Part 3: Building a Production Browser Game with Next.js and Phaser 3

How the game-core architecture separates framework-agnostic logic from rendering, why Phaser 3 handles the board while Next.js handles everything else, and the engineering decisions behind authentication, PWA support, and i18n.

Read more →
Part 1: From Photo Booths to Virtual Try-On — The 20-Year Quest Series
AIMachine LearningPythonGANComputer Vision

Part 1: From Photo Booths to Virtual Try-On — The 20-Year Quest

The origin story of META FIT: how a decades-old vision of seeing yourself in clothes before buying evolved from hardware kiosks to GAN-powered virtual try-on, plus a comprehensive survey of 15+ VTON research models.

Read more →
Part 2: Understanding GANs — The Engine Behind Virtual Try-On Series
AIMachine LearningPythonGANComputer Vision

Part 2: Understanding GANs — The Engine Behind Virtual Try-On

A deep dive into Generative Adversarial Networks: how the generator-discriminator dynamic works, why GANs dominated image generation before diffusion models, and how they power virtual try-on systems.

Read more →
Part 3: Inside PF-AFN — The Try-On Engine in Code Series
AIMachine LearningPythonGANComputer Vision

Part 3: Inside PF-AFN — The Try-On Engine in Code

A code-level walkthrough of the Parser-Free Appearance Flow Network: Feature Pyramid encoding, CUDA-accelerated correlation kernels, optical flow warping, and the ResUnet generator that composites garments onto people.

Read more →
Part 4: Pose Estimation, Body Measurement, and 3D Reconstruction Series
AIMachine LearningPythonGANComputer Vision

Part 4: Pose Estimation, Body Measurement, and 3D Reconstruction

How OpenPose skeletal detection, Graphonomy human parsing, and custom body measurement algorithms work together to enable accurate virtual fitting — plus an exploration of PiFu for 2D-to-3D reconstruction.

Read more →