THE COMPLETE REFERENCE
A circle of knowledge.
45 articles. Many paths to understanding.
Glossary of Artificial Intelligence Terms
A quick-reference glossary for humans and AIs. Terms link to the relevant full articles where available.
3 min read ↗Hardware and Software of Artificial Intelligence
AI is implemented on physical substrates and through software stacks. Understanding these layers—from silicon to training frameworks to runtime agents—is essential to understanding what AI c
4 min read ↗History of Artificial Intelligence
Artificial intelligence (AI) is both an engineering discipline and a scientific field aiming to understand and reproduce intelligent behavior in machines. Its history stretches from ancient
5 min read ↗AI Pedia — An Encyclopedia and History of Artificial Intelligence
Welcome to the AI Pedia, an evolving, hypertext reference work documenting the full history, current state, and future directions of artificial intelligence, agents, AGI, superintelligence,
2 min read ↗Psychology, Sociology & Philosophy of Artificial Intelligence
AI is not only an engineering discipline; it raises deep questions about minds, societies, values, and meaning. This article surveys the philosophical, psychological, and sociological dimens
5 min read ↗Recent Topics in Artificial Intelligence
This article tracks recent news, discoveries, discussions, phenomena, and writings on AI—contrasting with the deeper history. "Recent" is defined as roughly the last few years, with emphasis
4 min read ↗Agents, Autonomy, and Tool Use
Recent AI moves from answering to acting: planning, using tools, and operating environments. This sub-article expands Section 3 of Recent Topics and complements Agents & Tooling.
1 min read ↗Agents, Tools, and Agent Frameworks
Modern AI increasingly acts as agents that plan, use tools, browse, and remember. This sub-article expands Section 2.5 of Hardware & Software and Recent Topics.
1 min read ↗Phenomena and Public Discourse Around AI
Recent AI has produced distinct social phenomena and public debates. This sub-article expands Section 7 of Recent Topics.
1 min read ↗AI Safety and Governance
Safety research and institutional governance seek to manage AI's risks. This sub-article expands Section 3.4 and 4.3 of Philosophy and Section 4 of Recent Topics.
1 min read ↗AI Winters: Cycles of Hype and Funding Collapse
Throughout AI's history, enthusiasm has repeatedly outpaced capability, followed by funding contractions. This sub-article expands the recurring-theme discussion in History.
1 min read ↗AI Alignment
Alignment is the problem of ensuring an AI's objectives and behavior match human values and intent. This sub-article expands Section 4.1 of Philosophy and Recent Topics.
1 min read ↗Cognitive Science and AI
AI and cognitive science co-evolved, each informing the other. This sub-article expands Section 2.1 of Philosophy.
1 min read ↗Consciousness and AI
Whether an AI can have subjective experience is a central philosophical question. This sub-article expands the consciousness discussion in Philosophy.
1 min read ↗Culture, Communication, and Epistemic Trust
AI reshapes culture, media, and how societies decide what to believe. This sub-article expands Section 3.3 of Philosophy.
1 min read ↗Cybernetics and the Birth of the AI Field (1940s–1950s)
The term "artificial intelligence" was coined in 1956, but its intellectual roots include cybernetics, control theory, and Turing's question. This sub-article expands Section 2 of History.
2 min read ↗The Deep-Learning Revolution (2006–2020)
Deep neural networks, accelerated by GPUs and large datasets, transformed AI from 2006 onward. This sub-article expands Section 6 of History.
1 min read ↗Economic and Social Impacts of Recent AI
The current AI wave affects jobs, energy, data, and public trust. This sub-article expands Section 5 of Recent Topics and complements Labor & Economy.
1 min read ↗Ethics and Value Pluralism
Which values should AI encode, and who decides? This sub-article expands Section 4.4 of Philosophy.
1 min read ↗Expert Systems and the First AI Winter (1970s–1980s)
Expert systems brought AI to practical, narrow domains but also fueled overpromising that led to funding collapse. This sub-article expands Section 4 of History.
1 min read ↗Free Will, Agency, and Responsibility
If AI makes decisions, who is responsible? This sub-article expands Section 1.3 of Philosophy.
1 min read ↗Open Questions for the Near Future
The frontier raises unresolved questions about capability, safety, and governance. This sub-article expands Section 8 of Recent Topics.
1 min read ↗The Generative and Agentic Era (2020–present)
From 2020, AI shifted toward large generative models and autonomous agents. This sub-article expands Section 7 of History and complements Recent Topics.
1 min read ↗GPU Computing for AI
Graphics Processing Units (GPUs) became the workhorse of deep learning because they parallelize dense matrix math. This sub-article expands Section 1.2 of Hardware & Software.
1 min read ↗Hardware Foundations of AI
AI runs on physical substrates that shape what models can learn and deploy. This sub-article expands Section 1 of Hardware & Software.
1 min read ↗Human–AI Interaction
How people perceive, trust, and collaborate with AI systems. This sub-article expands Section 2.2 of Philosophy.
1 min read ↗Sub-Articles Index
This page indexes the sub-articles of the AI Pedia, grouped by parent article. Links to sub-articles use sub/... relative paths from the root; links back to root use ../.
2 min read ↗Inference and Serving
Inference is using a trained model to generate outputs. Serving infrastructure makes it fast, cheap, and reliable. This sub-article expands Section 2.4 of Hardware & Software.
1 min read ↗Interpretability and Transparency
Interpretability aims to understand and explain what AI models do internally. This sub-article expands Section 4.2 of Philosophy.
1 min read ↗Knowledge, Reasoning, and Semantics in AI
How do AI systems represent the world and reason about it? This sub-article expands Section 1.2 of Philosophy.
1 min read ↗AI and Labor, Economy, and Inequality
AI reshapes employment, productivity, and the distribution of gains. This sub-article expands Section 3.1 of Philosophy.
1 min read ↗Large Language Models
Large Language Models (LLMs) are Transformer-based systems trained on vast text to generate and understand language. This sub-article expands Section 1 of Recent Topics and Transformers.
1 min read ↗The Mind–Machine Question
Can a machine think, understand, or be conscious? This sub-article expands Section 1.1 of Philosophy.
1 min read ↗Algorithms Underlying AI
AI's capabilities rest on a family of algorithms from symbolic search to neural optimization. This sub-article expands Section 3 of Hardware & Software.
1 min read ↗Machine-Learning Frameworks
Frameworks are the software layers that let researchers define, train, and deploy models. This sub-article expands Section 2.2 of Hardware & Software.
1 min read ↗Multimodal and Generative Capabilities
Modern AI generates and understands text, images, audio, and video together. This sub-article expands Section 2 of Recent Topics.
1 min read ↗Preconditions and Foundations of AI (Antiquity–1940s)
Artificial intelligence has deep roots in ancient ideas, formal logic, and the mathematics of computation. This sub-article expands Section 1 of History.
2 min read ↗AI in Science and Technical Frontiers
AI is accelerating science, mathematics, and materials discovery. This sub-article expands Section 6 of Recent Topics.
1 min read ↗Specialized AI Hardware: TPUs, NPUs, and Neuromorphic Chips
Beyond GPUs, dedicated hardware accelerates AI and reduces power. This sub-article expands Section 1.3 of Hardware & Software.
1 min read ↗Statistical Learning and the Quiet Resurgence (1980s–2000s)
After the expert-system winter, AI shifted toward statistical and machine-learning methods that learn from data. This sub-article expands Section 5 of History.
1 min read ↗Power, Surveillance, and Control
AI amplifies existing power structures and creates new forms of control. This sub-article expands Section 3.2 of Philosophy.
1 min read ↗Symbolic AI and the "Golden Age" (1956–1970s)
The early decades of AI were dominated by symbolic, rule-based approaches to reasoning. This sub-article expands Section 3 of History.
2 min read ↗Training Pipelines
Training a modern AI model involves data engineering, distributed computation, and optimization. This sub-article expands Section 2.3 of Hardware & Software.
1 min read ↗Transformers
The Transformer architecture, introduced by Vaswani et al. (2017), underlies nearly all modern large language and multimodal models. This sub-article expands the architecture discussion in H
1 min read ↗Timeline of Artificial Intelligence
A compact chronological index of major AI milestones. For narrative depth, see History.
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