About
📌 Technical Origin of OpenML - A Quantum Physics Problem
The conceptual foundation of OpenML dates all the way back to 2013 when a college boy in Physics major was
reading and implementing the Matrix Numerov Method for Solving Schrödinger Equation
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11 minutes
OpenStack
2026-09-23
Since it's first release in 2010 out of Rackspace and NASA, OpenStack has sparked a magnetic appeal deep in my
personal interests. OpenStack was essentially a declaration of digital independence and, since
then, serves as the technological manifestation of metaphysical libertarianism. It hands us the keys to the bare metal
and lets us build the entire environment ourselves.
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4 minutes
Quantum Natural Language Processing & Quantum Knowledge Graph
In recent years, researchers have begun formalizing the Quantum Knowledge Graph (QKG), which integrates traditional
knowledge graphs with Quantum Natural Language Processing (QNLP).
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6 minutes
Social Psychology
I study Social Psychology in order to get insights about myself. A book on Social Psychology sparked my interests on
this field so I picked up a text book about it. The notion of "Fundamental Attribution Error" and its application on
World War II German society ignited my examination on my past 30 years of life as a Chinese.
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46 minutes
Software is not about Making it Work, but Making it Right
I have been told by one of my Yahoo! colleagues that I have an unusual way of designing and writing code. Over the last
7 years or so of my tech career, it’s enabled me to have a lot of fun studying and applying rigorous principles of
software design.
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From Syntax to Strategy: How to Transition from Engineering Crafter to Value Creator
In an agentic era where software engineering is mostly done automatically, OpenML realizes that coding by human does
not create competitive values anymore. OpenML decides to up-grow by transitioning itself to business creator and
down-introspect by deeply studying LLM internals - its math and its implementations, etc. This blog post focuses on
the former: up-grow
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6 minutes
Recurrent Neural Networks (RNNs)
In an agentic era where software engineering is mostly done automatically, OpenML realizes that coding by human does
not create competitive values anymore. OpenML decides to up-grow by transitioning itself to business creator and
down-introspect by deeply studying LLM internals - its math and its implementations, etc. This blog post focuses on
the latter: down-introspect, specifically, Recurrent Neural Networks
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38 minutes
Transformer
This is part of the down-introspect series on ML/AI on Transformer. I was originally studying LLM on Hugging Face (https://huggingface.co/learn/llm-course)
and notice that transformer occupied significant portion of their learning materials so I decided to look into it
deeply
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23 minutes