What AI Really Is
When people say "AI," they often imagine a conscious machine or a robot with human-like intentions.
BeginnerBasicsFIELD NOTES · 30 TOPICS
Plain-English notes on AI and machine learning — no hype, no fear.
Five modules, thirty short topics. Start anywhere and follow the thread.
When people say "AI," they often imagine a conscious machine or a robot with human-like intentions.
BeginnerBasicsA short history of AI is not a timeline to memorize.
BeginnerBasicsThis topic is about taking the words you hear around artificial intelligence and machine learning and giving them simple, everyday meanings.
BeginnerBasicsWhat AI really is, where it came from, and what it can and cannot do.
When people say "AI," they often imagine a conscious machine or a robot with human-like intentions.
BeginnerBasicsA short history of AI is not a timeline to memorize.
BeginnerBasicsThis topic is about taking the words you hear around artificial intelligence and machine learning and giving them simple, everyday meanings.
BeginnerBasicsThis topic is about developing a clear-eyed understanding of artificial intelligence's capabilities and boundaries.
BeginnerBasicsThis topic is about recognizing artificial intelligence in the ordinary moments of your day.
BeginnerBasicsThis topic is about the gap between how artificial intelligence is described in popular conversation and what the underlying technology actually does.
BeginnerBasicsPatterns, training data, language models, mistakes, and bias.
When we say an AI learns patterns, we mean it finds regularities in examples and uses those regularities to make useful guesses about new situations.
BeginnerModelsTraining data is the collection of examples that a machine learning model uses to learn patterns.
IntermediateModelsWhen people say a model does something, they usually mean the whole system that turns an input into an output.
BeginnerModelsLarge language models are computational systems that learn patterns from vast amounts of text.
IntermediateModelsWhen we talk about AI making mistakes, we are really talking about the gap between what a model was designed to do and what it actually does in the real world.
IntermediateModelsBias in AI systems is not a single bug you can patch once and forget.
IntermediateModelsChoosing tools, prompting well, and checking what comes back.
Choosing an AI tool is not about finding the most powerful or popular option.
BeginnerToolsWriting clear prompts is the practice of expressing what you want an AI tool to do in plain, specific language.
BeginnerToolsIterating with AI means treating your interaction with an AI tool as a conversation or a series of drafts, rather than a single request.
IntermediateToolsFact-checking AI output is the practice of treating a generated answer as a draft rather than a verdict.
IntermediateToolsUsing AI for writing help means treating a language model as a drafting assistant, not as a replacement for your own thinking.
BeginnerToolsUsing AI for learning means treating an AI system as a patient, always-available study partner rather than as an answer machine.
BeginnerToolsContext, format, breaking tasks down, and keeping your own voice.
Prompting, step by step, is the practice of writing instructions for an AI system in a structured, incremental way.
BeginnerPromptingGiving good context is the practice of supplying enough background, constraints, and intent so that an AI or machine learning system can produce an answer that is…
IntermediatePromptingAsking for the right format is the practice of telling an AI system, in plain language, what shape you want its answer to take before it starts writing.
BeginnerPromptingResponsibility, privacy, media literacy, work, and a balanced view.
Using AI responsibly means treating AI-generated content as a draft, not a final product.
IntermediateEthicsAI and your privacy is about the everyday exchange that happens when you use a system that learns from data.
IntermediateEthicsSpotting AI-generated content is about developing a habit of healthy skepticism, not about becoming a human detector that never makes mistakes.
IntermediateEthics