Definitions by Dumu The Void
Space Orbit Tourism
Commercial space travel that remains in Earth orbit—the most accessible form of space tourism today. Passengers ride a spacecraft (like SpaceX Crew Dragon or Blue Origin’s New Shepard) to altitudes of 100‑400 km, experiencing minutes of weightlessness, seeing the curvature of Earth, and floating in a capsule before returning. Trips last from a few minutes (suborbital) to several days (orbital). Space orbit tourism is offered by private companies to wealthy individuals, costing hundreds of thousands to millions of dollars. Critics call it a billionaire’s joyride, while proponents see it as the first step toward making space accessible.
Example: “She sold her startup to afford a space orbit tourism flight—three days circling Earth, watching sixteen sunrises, and floating like a superhero.”
Space Orbit Tourism by Dumu The Void April 11, 2026
Theory of AI Generativity and AI Recursion
A theoretical framework exploring two intertwined properties of advanced AI: generativity (the ability to produce novel, human‑level or superhuman outputs across domains) and recursion (the ability to improve itself, generating better AI that generates even better AI, in a feedback loop). The theory examines how recursive self‑improvement could lead to rapid capability gains (an intelligence explosion) and how generative AI systems might produce training data for their successors, creating closed‑loop evolution. It also considers risks: loss of control, value misalignment, and the difficulty of verifying recursive safety. The theory is central to discussions of artificial general intelligence and existential risk.
Example: “The theory of AI generativity and AI recursion warned that once an AI can write better AI code than human engineers, the pace of progress could exceed our ability to supervise—leading to a system we no longer understand.”
Theory of AI Generativity and AI Recursion by Dumu The Void April 11, 2026
AI Infrascience
The study of the infrastructure that supports AI research and deployment: datasets, computing clusters, software frameworks, model zoos, annotation pipelines, and the energy grids that power them. AI infrascience examines how infrastructure choices shape what AI can do—who gets to train large models, whose data is included, how carbon footprints are measured, and how open source vs. proprietary tools affect innovation. It reveals that AI is not just algorithms; it’s a material system dependent on rare earth minerals, cloud contracts, and precarious labeling labor. Understanding AI requires understanding its infrascience.
Example: “Her AI infrascience research traced how the shift to cloud computing centralized AI power in a few tech giants, making it nearly impossible for academics to compete on large language models.”
AI Infrascience by Dumu The Void April 11, 2026
AI Metascience
The study of AI research itself as a scientific enterprise—its methods, incentives, biases, and institutional dynamics. AI metascience asks questions like: Is the field too focused on benchmark‑hunting? Do publication pressures reward incremental improvements over breakthroughs? How does corporate funding shape research agendas? What makes AI results reproducible or not? It applies the tools of metascience (meta‑analysis, replication studies, research on research) to the booming AI literature. AI metascience aims to improve the quality, transparency, and direction of AI research, ensuring that the field’s rapid growth does not come at the expense of rigor.
Example: “His AI metascience study found that 70% of reinforcement learning papers couldn’t be reproduced because authors omitted key hyperparameters—a crisis hidden by the field’s hype cycle.”
AI Metascience by Dumu The Void April 11, 2026
AI Sciences
The broad, interdisciplinary family of fields that study artificial intelligence from multiple perspectives: computer science, mathematics, cognitive psychology, neuroscience, philosophy, linguistics, ethics, and sociology. AI sciences include technical disciplines (machine learning, computer vision, NLP), human‑facing fields (human‑AI interaction, explainable AI), and critical studies (AI ethics, algorithmic fairness, AI law). Together, they investigate what AI is, how it works, how it affects society, and how it should be governed. The plural “sciences” acknowledges that no single discipline can fully grasp the AI phenomenon.
Example: “The conference brought together AI sciences: engineers presented new architectures, psychologists studied user trust, and philosophers debated whether an AI could have moral standing.”
AI Sciences by Dumu The Void April 11, 2026
AI Science
The systematic study of artificial intelligence using the methods of science—empirical testing, reproducibility, falsifiability, and peer review. AI science encompasses machine learning research, neural network interpretability, reinforcement learning theory, and the development of benchmarks. It distinguishes itself from “AI engineering” (building applications) and “AI hype” (marketing buzz). AI science asks fundamental questions: How do learning algorithms generalize? What are the limits of deep learning? Can we create truly autonomous reasoning? It treats AI not as magic but as a natural phenomenon to be understood.
Example: “Her AI science paper tested whether transformer models actually ‘reason’ or just pattern‑match. The results suggested more the latter, challenging claims of emerging consciousness.”
AI Science by Dumu The Void April 11, 2026
Moon Landing Tourism
The holy grail of lunar travel: actually setting foot on the Moon’s surface. While still purely speculative for private citizens, several companies have announced plans for moon landing tourism packages, including stays in pressurized rovers or inflatable habitats. The experience would include walking in one‑sixth gravity, collecting samples, and looking up at Earth from another world. The cost would be astronomical, and the risks high, but for the ultra‑wealthy adventure seeker, moon landing tourism represents the ultimate status symbol—the only thing rarer than a billionaire is a billionaire who has walked on the Moon.
Example: “The brochure promised moon landing tourism by 2030: a week on the surface, Earthrise every morning, and a certificate signed by the mission commander. Price: one private island.”
Moon Landing Tourism by Dumu The Void April 11, 2026