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Ten reads, in order, that take you from 'I keep hearing about AGI' to a working understanding of where the field actually is in 2026.

Each entry takes between fifteen minutes and a long evening. Done in order, the list mixes definitions, empirical evidence, calibrated scenarios, and an optimistic counterweight, then closes with a practical step you can apply to your own situation.

  1. 01

    What is AGI? Explained

    Post
    ZootAGI · 2026

    A precise, plain-language definition of artificial general intelligence.

    Why read this. Start where the terminology is clear.

  2. 02

    Sparks of Artificial General Intelligence

    Paper
    Bubeck et al. · 2023

    Microsoft Research's early empirical study of GPT-4 as a fragment of general intelligence.

    Why read this. The clearest snapshot of why the AGI conversation accelerated.

  3. 03

    The Bitter Lesson

    Post
    Rich Sutton · 2019

    Two pages on why general methods that leverage compute win over clever hand-engineering.

    Why read this. The single most quoted post in modern AI; explains the trajectory in a coffee break.

  4. 04

    AGI in sight: our look at the game board

    Post
    Connor Leahy et al. · 2023

    A concise overview of why many researchers now expect AGI within a decade.

    Why read this. Frames the urgency without doom-mongering.

  5. 05

    AI 2027 scenario

    Post
    Daniel Kokotajlo et al. · 2024

    A detailed, calibrated narrative scenario of how AGI capabilities could unfold over the next several years.

    Why read this. Concrete and forces you to form a view.

  6. 06

    International AI Safety Report 2025

    Report
    Bengio et al. · 2025

    A 300-page consensus assessment from 30 countries.

    Why read this. The closest the field has to an IPCC report.

  7. 07

    Stanford AI Index 2025

    Report
    Stanford HAI · 2025

    The annual reference dataset on AI progress, deployment, economics, and policy.

    Why read this. Replace anecdotes with numbers.

  8. 08

    Machines of Loving Grace

    Post
    Dario Amodei · 2024

    Anthropic's CEO on a positive vision of what powerful AI could do.

    Why read this. An honest optimistic counterweight to risk-first reading.

  9. 09

    What if we could automate alignment research?

    Post
    Jan Leike · 2024

    A leading alignment researcher's working theory of how the problem might be solved.

    Why read this. Gives a concrete plan rather than only naming the problem.

  10. 10

    ZootAGI Tools

    Site
    ZootAGI · 2026

    Self-assessment, learning-path generator, and timeline explorer.

    Why read this. Apply what you read to your own situation.