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
AI Agent - ReAct
2026-05-05
The ReAct paradigm bridges the gap between digital reasoning and purposeful action by giving agents a digital form of
inner speech. By generating internal thought traces before executing tasks, AI can plan, observe, and self-correct in
a continuous loop. This approach moves us away from black-box automation and toward building transparent, deliberate
agents that can navigate complex problems with genuine logical integrity.
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2 minutes
AI Agent - Inner Speech
2026-05-05
AI agents are finding their inner speech. By "talking to themselves" to plan and self-correct before taking an action,
they mirror the way we use internal monologues to navigate complex choices. This shift from reactive automation to
deliberate reasoning marks the evolution of AI from a simple tool into a truly metacognitive collaborator.
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10 minutes
AI Agent - An Overview
Building AI Agent from first principles with a durable understanding that frameworks alone cannot, This post
structures a learning path that separates the core theory from the "from scratch" implementation, using resources that
are independent of major agent frameworks, such as LlamaIndex.
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14 minutes
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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75 minutes
Where is the computational limits of AI? The Halting Problem
If the Universal Approximation Theorem expresses the unprecedented power of AI, the Halting Problem poses the
opposite - its computational limit.
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10 minutes
Why is AI Deeply-Seated with Philosophy and Language?
AI is not just a consumer of linguistic data; it is a producer of new philosophical questions. It forces us to be more
precise about what we mean by "meaning," "understanding," and "thought," turning centuries of abstract debate into a
pressing, practical challenge.
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33 minutes
Why Do People Study Ancient Languages?
A fascination with things from the past, like ancient languages, is a common and deeply rooted human interest. There
are a number of reasons for this, ranging from the intellectual and practical to the emotional and psychological.
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47 minutes