Definitions by Dumu The Void

Might Science

The study of might, force, strength, and raw capability as distinct from institutional or social power. Where power science looks at control and influence, might science looks at the brute capacity to effect change through sheer force—military strength, physical prowess, economic leverage, or technological superiority. It's the science of who can actually do what, regardless of who has the "right" to do it. It acknowledges that in the end, power often rests on a foundation of might.

Example: "The diplomat had all the soft power in the world, but the general understood might science: when the tanks roll in, charm stops mattering."

Might Science by Dumu The Void March 11, 2026

Power Science

The systematic study of power itself—its forms, dynamics, sources, and effects—using scientific methods. Unlike philosophy of power, which speculates, power science aims to observe, measure, and model how power operates in human systems. It asks empirical questions: How do power hierarchies form? What predicts the rise and fall of leaders? How does power corrupt, and can we measure that corruption? It's political science, sociology, and psychology focused with laser intensity on the single most important force in human affairs.

Example: "The book wasn't just history; it was power science, offering a data-driven model for how empires actually rise and why they eventually collapse."

Power Science by Dumu The Void March 11, 2026

Science Power

The recognition that science is not a pure, neutral pursuit of truth, but a form of power in its own right, operating as a distinct sphere of influence alongside politics, economics, and military force. Science power includes the authority to define reality, the control of expertise as a resource, the ability to grant or deny funding, and the gatekeeping of what counts as "knowledge." It's the understanding that who controls the labs, journals, and peer review processes wields as much influence as who controls the army or the treasury.

Example: "They didn't need to censor the research; they just used their science power to deny funding and ensure it never got published in the first place."

Science Power by Dumu The Void March 11, 2026

AI Applied to Data Science

The use of artificial intelligence to automate and enhance the practice of data science itself. This includes using AI to automatically clean messy datasets, generate features, select the right models, tune hyperparameters, and even write the code for analysis. It's the field where AI becomes the data scientist's assistant, speeding up routine tasks and uncovering patterns that might take humans weeks to find. It's data science turning its tools back on itself.

AI Applied to Data Science Example: "He used to spend 80% of his time cleaning data; now with AI applied to data science, the machine does it for him, and he just focuses on asking the right questions."

AI Applied to Data Science by Dumu The Void March 11, 2026

Data Science Applied to AI

The engineering and methodological discipline of preparing, cleaning, analyzing, and governing the data that powers artificial intelligence. It recognizes that AI models are only as good as the data they're trained on. This field focuses on the entire data pipeline: sourcing high-quality data, removing bias, ensuring privacy, and managing the massive datasets required to train modern AI. It's the unglamorous but absolutely essential grunt work that makes the magic happen.

Data Science Applied to AI Example: "The model kept failing, and they realized it was a data science applied to AI problem—the training data was full of duplicates and errors they'd never bothered to clean."

Data Science Applied to AI by Dumu The Void March 11, 2026

AI Applied to Cognitive Sciences

The use of artificial intelligence as a tool to model, test, and understand the human mind. By building computational models that perform cognitive tasks—recognizing faces, making decisions, learning languages—researchers can create and test theories about how our own cognition might work. If an AI model behaves like a human under certain conditions, it might suggest that the human brain is using a similar computational strategy. It's cognitive science's most powerful laboratory.

Example: "They weren't sure how children learn grammar until they used AI applied to cognitive sciences to build a model that learned the same way, confirming their hypothesis."

AI Applied to Cognitive Sciences by Dumu The Void March 11, 2026

Cognitive Sciences Applied to AI

The practice of using our understanding of the human mind—perception, memory, reasoning, language, and learning—to inspire and improve artificial intelligence. It's the belief that the best way to build a smart machine is to reverse-engineer the only working example we have: the human brain. From neural networks (loosely inspired by neurons) to reinforcement learning (inspired by animal conditioning), this field has been central to AI's development, for better and for worse.

Cognitive Sciences Applied to AI Example: "The chatbot was terrible at conversation until they applied cognitive sciences to AI and taught it to manage turn-taking and context like a real human would."

Cognitive Sciences Applied to AI by Dumu The Void March 11, 2026