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

Just as DevOps brought structure to software deployment and MLOps did the same for training models, AgentOps is the emerging field dedicated to the lifecycle of agentic AI. Shared evaluation frameworks like Harbor is an example of AgentOps. The core philosophy driving this shift is moving away from "walled-garden" testing (where companies build private tests that happen to make their own agents look good) toward Standardized Evaluation Environments. It is the realization that a benchmark is only trustworthy if everyone can run it, inspect it, and use the exact same ruler to measure success.

If the Universal Approximation Theorem expresses the unprecedented power of AI, the Halting Problem poses the opposite - its computational limit.

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.

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

Galileo and Descartes are, no double of guess, monumental giants for their obvious reasons. For OpenML, it means the two just born the modern Determinism of AI.

"Quantum Metaphysics" is a highly active area of inquiry. This branch of philosophy investigates the ontological implications of quantum theory. While the mathematical formalism of quantum mechanics flawlessly predicts experimental outcomes, quantum metaphysics asks what those equations actually reveal about the fundamental nature of reality. It bridges formal physical laws with ontological frameworks by addressing several core problems, such as The Measurement Problem, Ontological Status of the Wave Function, Non-locality and Determinism, and Interpretations of Reality