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How today’s AI works, from the first idea of a machine that learns to the chatbots and assistants people use every day. Start with what AI is, then follow the links: each note answers one question and links to the ones it leads to.

24 notes from Graphite. Free to read, with no account. Nothing here is for sale.

Start here

Where to begin.

The note that answers the topic’s biggest question, then the two it leads to most directly.

  1. Start here

    What is artificial intelligence? AI explained in plain words

    Artificial intelligence is software that does tasks we link with human thinking, mostly by learning patterns from data. What it is, how it learns, and what it can't do.

    Graphite7 min read

  2. Then

    What is machine learning? How computers learn from data

    Machine learning is a way of building software that learns rules from examples instead of being given them. How it works, its three main kinds, and what overfitting means.

    Graphite6 min read

  3. And then

    How does ChatGPT work? From prediction to conversation

    ChatGPT works by predicting the next piece of text, one token at a time, using a model trained on vast text and then tuned by people into an assistant. Here is each step.

    Graphite6 min read

Every note

All 24 notes in AI.

The three above, then the rest. Each answers one question and links to the notes it leads to.

  1. What is a large language model? LLMs in plain words

    A large language model is an AI system trained on vast amounts of text to predict what comes next, which lets it write, summarize and answer. What large means, and its limits.

    Graphite6 min read

  2. What is vibe coding? Building software by talking to AI

    Vibe coding is building software by describing what you want to an AI and accepting the code it writes without reading it closely. Where it works, where it breaks, and how to do it safely.

    Graphite6 min read

  3. What is AGI? Artificial general intelligence explained

    AGI, artificial general intelligence, is AI that could learn and do most tasks people can, not just one. No system meets every definition, and experts disagree on what would count.

    Graphite6 min read

  4. What is a data center? Why AI needs so many of them

    A data center is a building full of networked computers, with the power and cooling to run them nonstop. AI needs far more computing, so it needs more of them, and more electricity.

    Graphite6 min read

  5. What is the Turing test? Can a machine pass as human?

    The Turing test asks whether a machine can hold a typed conversation so well that a judge can't reliably tell it from a person. What Turing proposed in 1950, and what passing shows.

    Graphite6 min read

  6. What is retrieval-augmented generation (RAG)?

    Retrieval-augmented generation, or RAG, makes an AI model look things up before it answers: it finds relevant passages in a set of documents and hands them to the model with the question.

    Graphite6 min read

  7. Is AI an existential risk? The debate, explained calmly

    Whether AI is an existential risk is argued, not settled. The worry is that very capable future systems could pursue goals at odds with human interests; critics call this speculative.

    Graphite7 min read