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

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

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.

In recent years, researchers have begun formalizing the Quantum Knowledge Graph (QKG), which integrates traditional knowledge graphs with Quantum Natural Language Processing (QNLP).