Just Explain It

Straightforward information about artificial intelligence. Start with any topic that interests you and follow the links as far as you want to go.

Explore AI

What Is Artificial Intelligence?

What AI is, what it can do, and how it differs from ordinary software.

What training means, why examples matter, and how models improve by adjusting internal patterns.

Large Language Models, tokens, prompts, context, and next-token prediction.

How AI can create text, images, audio, video, code, and other new content.

Computer vision, speech, video, sensors, and multimodal AI.

Training, context, conversation history, retrieval, and long-term memory.

Reasoning, planning, problem solving, intelligence, and the harder question of consciousness.

Hallucinations, confidence, grounding, search, tools, and verification.

From Turing and symbolic AI through AI winters, deep learning, transformers, and generative AI.

A 2026 snapshot of language, coding, multimodal systems, agents, robotics, science, and reliability.

How AI can move from answering questions to planning, using tools, and taking steps toward a requested outcome.

Medicine, education, science, accessibility, business, agriculture, engineering, and everyday work.

Hallucinations, bias, privacy, deepfakes, jobs, cybersecurity, overreliance, and unsafe actions.

How models, memory, tools, data, permissions, verification, orchestration, agents, and human oversight connect.