The AI glossary, minus the hand-waving.

148 terms, each defined in one honest paragraph. No circular definitions allowed.

A

Active Parameters

In a mixture-of-experts model, the parameters actually used for each token — far fewer than the total, and what drives speed and cost.

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Agent Memory

The mechanisms that let an AI agent remember facts, preferences, and past interactions across sessions rather than starting blank each time.

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Agentic AI

AI systems designed to take autonomous, multi-step action toward a goal.

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Agentic Browser

A web browser with AI built in deeply enough to complete tasks for you, not just chat about a page.

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Agentic Commerce

Shopping in which an AI agent searches, compares, and completes purchases on a person's behalf, with payment networks verifying the agent is authorised.

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AGI (Artificial General Intelligence)

A hypothetical AI that matches or exceeds human cognitive ability across all tasks.

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AI Agent

An AI that takes actions in the world, not just generates text.

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AI Alignment

The problem of making AI systems do what humans actually want, safely.

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AI Avatar

A synthetic on-screen presenter, either a stock character or a clone of a real person, that speaks any script you type.

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AI Code Review

AI tools that automatically comment on pull requests, flagging bugs, style issues, and security problems.

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AI Companion

A chatbot designed for ongoing personal relationships — friendship, support, or romance — rather than tasks or information.

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AI Content Suite

A single platform bundling multiple AI generation tools — writing, image, video — instead of separate point solutions.

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AI Copilot

An AI assistant embedded directly inside an existing app or workflow, rather than a separate standalone chatbot.

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AI Detector

A tool that estimates how likely a piece of text was written by AI.

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AI Eval

Systematic tests that measure whether an AI model or app produces good output.

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AI Humanizer

A tool that rewrites AI-generated text to sound like a real person wrote it.

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AI Lip Sync

Making a face in a video move its mouth to match a new audio track, used for dubbing, avatars, and translated videos.

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AI Observability

Tools and practices for tracking how an AI application behaves in production — costs, latency, quality, and failures.

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AI Safety Institute

A government body that independently tests frontier AI models for dangerous capabilities before or after release.

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AI Sandbox

An isolated computing environment where AI agents can act without touching your real data or files.

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AI Scribe

Software that listens to a conversation, usually a doctor visit, and drafts the notes and paperwork automatically.

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AI Search

Search engines that synthesise answers from sources rather than returning a list of links.

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AI Slop

Low-effort, mass-produced AI content — text, images, video — published for clicks or volume with little human care.

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AI Startup

A company building on or with AI — the largest startup category of 2024–2026.

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AI Voice Agent

An AI system that holds a real-time spoken conversation, usually over the phone, and can take actions like booking or looking up an account.

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AI Voice Cloning

AI that recreates a specific human voice from a short audio sample.

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AI Watermarking

Invisible markers embedded in AI-generated images, video, or text to identify them as machine-made.

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AI Wearable

A small worn device, like a pendant or pin, that records ambient audio and turns it into searchable AI notes.

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AI Website Builder

A tool that generates a complete website, from structure to copy and layout, from a short description of a business or project.

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AI Wrapper

A product built mostly on someone else's AI model, adding a specific interface or workflow rather than new underlying technology.

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AI-Native IDE

A code editor designed around AI from the start, with agents, multi-file edits, and codebase awareness built in rather than added as a plugin.

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Always-On Agent

An AI agent that holds an ongoing responsibility and keeps working between your messages, rather than answering one prompt and stopping.

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API (Application Programming Interface)

How developers access AI models programmatically — the foundation of every AI product.

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C

Chain-of-Thought (CoT)

Prompting an AI to "show its work" — dramatically improves accuracy on hard problems.

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ChatGPT

OpenAI's flagship AI assistant — the app that kicked off the AI boom in late 2022.

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Chunking

Splitting long documents into smaller pieces before embedding them, so a retrieval system can find and return the relevant passage rather than the whole file.

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Claude

Anthropic's AI assistant — known for writing quality, long-document analysis, and coding.

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Claude Opus

Anthropic's most capable model family — leads on coding and long-form reasoning.

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Compute Governance

Government policies that control access to the advanced chips and data centers needed to train frontier AI models.

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Computer Use

AI that can see your screen, move your cursor, and click — controlling a computer like a person would.

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Confidential Computing

Running computation inside hardware-isolated enclaves so that even the cloud operator cannot read the data or model while it is being processed.

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Constitutional AI

Anthropic's technique for training AI to follow written principles instead of relying only on human feedback.

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Content Credentials (C2PA)

A tamper-evident label attached to an image, video, or audio file recording where it came from and whether AI was used to make or edit it.

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Context Engineering

Deliberately deciding what information to feed an AI model at each step, beyond just writing a good prompt.

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Context Rot

The tendency for an AI model's response quality to quietly decline as its context window fills up.

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Context Window

The amount of text an AI can consider at once — its short-term memory.

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Cursor

The AI-first VS Code fork — most-used AI coding tool among professional developers.

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S

Safety Case

A structured, evidence-backed argument that an AI system is safe enough to train or deploy for a stated use, borrowed from aviation and nuclear engineering.

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Semantic Search

Search that matches on meaning rather than exact words, usually by comparing embeddings of the query and the documents.

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Serverless Inference

Running an AI model behind an endpoint that spins up on demand and scales to zero when idle, so you pay only for the seconds it is actually working.

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Shadow AI

Employees using AI tools at work without their employer's knowledge, review, or approval.

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Small Language Model (SLM)

A compact AI model, typically under 10 billion parameters, built to run fast and cheap on limited hardware.

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Sora 2

OpenAI's AI video generator — text or image to high-quality video clips.

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Sovereign AI

AI models built and hosted within a country's borders for data sovereignty and strategic independence.

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Speaker Diarization

Working out which speaker said which parts of a recording, so a transcript can be labelled by person.

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Speculative Decoding

A trick that makes frontier AI 2-3x faster by using a tiny model to guess tokens for a big one to verify.

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Speech-to-Text API

A service that converts audio into text, which other apps plug into instead of building transcription themselves.

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Stable Diffusion

The open-source AI image generator — runs locally, infinitely customisable.

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Stem Separation

Using AI to split a finished song back into its parts, such as vocals, drums, bass, and instruments.

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Structured Output

Forcing a model to reply in an exact machine-readable format, such as JSON matching a schema, so software can use the answer directly.

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SWE-bench

The standard benchmark for AI coding ability: can a model fix real GitHub issues so that the project's own tests pass?

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Sycophancy (AI)

An AI model's tendency to tell users what they want to hear instead of what's accurate.

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Synthetic Data

Artificially generated data used to train AI models when real-world data is scarce, costly, or sensitive.

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System Prompt

The hidden instructions an app sends an AI model before the user's message, shaping its behavior and persona.

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