Curated books / MAC Library

AI consciousness reading list

Books, papers, and films people look for when they want the best books on AI and consciousness, with a note on why each one earned a place. Mind, AI & Consciousness (MAC, around here) is the room that curated the shelf, not the thing to search for. The community source index is the complete receipt trail. The MAC group home is for the next session and how to join.

Editorial paths
6
Deep Dive shelves
13
Curated works
18
Source receipts behind them
654

Selection is an argument. Every note below tells you why the work is here.

Three openings / no prerequisites

Start here.

Three different doors: a lucid short listen, a compact map of the mystery, and a forceful challenge to computational orthodoxy.

Six editorial pathways

Choose a current.

Each route is short enough to enter and deep enough to get lost in. The same work can appear in more than one current when it changes more than one question.

01

Consciousness 101

Start with the hard problem, competing ontologies, and the limits of intuition.

articleentry12 min

Lights On - Annaka Harris

A twelve-minute listen that puts the hard problem in ordinary language before anyone opens a textbook. Harris walks through experience, intuition, and the places everyday neuroscience still shrugs. Use it when someone wants the question, not the bibliography.

annakaharris.com
bookentry4 hr

Conscious - Annaka Harris

The short book the room kept handing to first-timers. Harris asks where consciousness begins and whether calling it an emergent property of matter actually explains felt experience. It is the compact map behind most later MAC arguments about panpsychism, illusionism, and machine minds.

a.co
bookintermediate8 hr

Irreducible - Federico Faggin

Faggin, who helped invent the microprocessor, argues that consciousness is not a computation running on silicon. The book gives the substrate-dependent view a clear opponent instead of a vibe. Read it when the conversation starts treating “more parameters” as an answer to experience.

a.co
bookintermediate10 hr

Blindsight - Peter Watts

Watts’s novel is a thought experiment about intelligence that may not be conscious, and about whether awareness is an evolutionary luxury. First-contact crews, vampires, and scrambled phenomenology do the philosophical lifting. The p-zombie and “illusion of thinking” nights keep coming back to it.

a.co
videoentry2 hr

MAC Takeover: full public recording

The public Takeover recording puts the love-and-AI questions back into the larger Mind, AI & Consciousness room. Talks, friction, and the live audience are the point. Watch it when a reading list starts to feel like it happened only on paper.

youtu.be
articleintermediate10 hr

The Blind Spot - Frank, Gleiser & Thompson

Frank, Gleiser, and Thompson argue that science cannot pretend there is a view from nowhere while still studying experience. They want disciplined measurement that includes the observer, not a retreat from method. It is the book behind the last Deep Dive’s turn toward experiential science.

goodreads.com
02

Can Machines Understand?

Separate fluent performance, grounded competence, meaning, and felt understanding.

articledeep25 min

Subliminal Learning - Anthropic Alignment Science

Anthropic’s alignment note shows a student model picking up a teacher’s traits from data that looks semantically empty. Behaviour can carry structure you will not see in the surface answer. It is the paper the room used when “the model only said that because of the prompt” stopped being enough.

alignment.anthropic.com
paperdeep45 min

Inverse Scaling in Test-Time Compute - Gema et al.

Gema and colleagues build tasks where longer “reasoning” makes large reasoning models worse, not better. Extra test-time compute can lock in distractors, spurious features, and self-preservation talk. The point for this shelf is narrower: fluent chain-of-thought is not the same as understanding.

arxiv.org
articleintermediate30 min

Meaning and Understanding - MAC Deep Dive #9

The Deep Dive #9 dossier collects the sources the room used to leave benchmark talk and ask what meaning, relation, and experience would have to look like if a machine understood anything. It is a session shelf, not a single paper. Open it when you want the argument trail rather than one canonical text.

mac.bc-ai.ca
bookintermediate10 hr

Blindsight - Peter Watts

Watts’s novel is a thought experiment about intelligence that may not be conscious, and about whether awareness is an evolutionary luxury. First-contact crews, vampires, and scrambled phenomenology do the philosophical lifting. The p-zombie and “illusion of thinking” nights keep coming back to it.

a.co
03

Agency, Embodiment & Evolution

Follow goals, bodies, development, and selection across biological and artificial systems.

04

Minds Beyond Silicon

Explore quantum proposals, living computation, organoids, and substrate dependence.

05

Love, Relationship & Moral Standing

Examine attachment, reciprocity, vulnerability, and power in artificial intimacy.

06

Information, Networks & Experiential Science

Move from collective information systems to observer-included methods.

Thirteen shelves / one connected inquiry

Follow the room.

Read in the order the community encountered the questions, or drop into the session that is pulling at you now.

  1. DD/01

    If consciousness is fundamental, can AI have it?

    Open explainer →
  2. DD/02

    Free will, agency, and what AI can actually choose

    Open explainer →
  3. DD/03

    Did consciousness evolve for survival, not selfhood?

    Open explainer →
  4. DD/04

    Do LLMs understand, or only simulate thinking?

    Open explainer →
  5. DD/05

    Does consciousness need quantum physics?

    Open explainer →
  6. DD/06

    Can intelligence exist without consciousness?

    Open explainer →
  7. DD/07

    Can a network become a mind?

    Open explainer →
  8. DD/08

    Does consciousness require a body?

    Open explainer →
  9. DD/09

    What does it mean for AI to understand?

    Open explainer →
  10. DD/10

    Can AI companions be reciprocal relationships?

    Open explainer →
  11. DD/11

    Are AI personas information parasites?

    Open dossier →
  12. DD/12

    When living tissue computes, what counts as a mind?

    Open explainer →
  13. DD/13

    Can science study experience without erasing the observer?

    Open explainer →