A sustained argument about intelligence, knowledge, self-reference, consciousness, embodiment, feeling, and the ethical consequences of building minds organised differently from our own. The series moves from what outside observers attribute to artificial systems, inward through representation, knowledge, self-reference, architecture, embodiment, and feeling, to moral consequence -- later pages rely on distinctions developed earlier, though each page is written to stand on its own. No single test or theory settles whether a system thinks, knows, experiences, or suffers: different questions call for behavioural evidence, architectural evidence, formal argument, or philosophical interpretation, and each page is explicit about which kind it is offering.
A thermostat holds a target temperature, measures the room against it, and switches the heating on or off to close the gap. Ordinary language barely resists describing this as the thermostat "wanting" the room warmer…
Turing's 1950 paper proposes a replacement for the question "can machines think?" — a question he considered too vague to be worth answering directly. In its place: an interrogator, conversing by teleprinter with a…
A program trained on a large corpus of poetry generates a stanza no human wrote, scanning correctly, using an unexpected but apt metaphor, submitted anonymously to a competition and shortlisted before anyone involved…
A weather vane turns to face the wind. A thermostat's bimetallic strip bends with temperature. A sentence, "it's windy today," is also reliably produced when it's windy. All three co-vary with some state of the world in…
This series opened with a thermostat that seems to want the room warmer and believe it's currently too cold, and the feeling that this description is too generous without an easy account of why. Dennett's answer doesn't…
A language model states a wrong date with exactly the same fluent confidence it states a correct one. The usual word for this, hallucination, names the output but not the actual problem. The actual problem is a mismatch…
Train a model on nothing but examples, with no hand-written rules, and it looks like the empiricist's dream made literal: a mind built entirely from experience, Locke's blank slate finally realised in silicon rather…
A model trained purely on text has only ever seen the word "red" co-occur with other words — "blood," "stop," "anger," "wavelength" — never a single photon. A model trained on paired text and images has seen pixel…
Ask a sufficiently capable reasoning system to produce a complete account of its own reasoning and certify, using only its own resources, that the account is accurate. This looks like an engineering target — more…
The previous page ruled out something: a sufficiently rich reasoner cannot produce a complete, internally certified, infallible account of itself. This page asks what's left to do instead, and the answer isn't "give up…
A theatre has a stage, lit by a spotlight, surrounded by a much larger backstage and wings kept dark — actors rehearsing lines, stagehands shifting scenery, a prompter reading ahead in the script, none of it visible to…
Every architecture this series has examined so far could, in principle, run with no body at all — a global workspace broadcasting among specialised processes, a self-model checking its own predictions, none of it…
A language model can produce a fluent paragraph about a cold stone wall, a hungry traveller, and the danger of the road ahead. None of that constrains the model's own operation in the slightest — it can produce the same…
This series opened with a chess engine that outperforms every human player while seeming, on most readings, experientially nothing like a mind at all. That description assumes an answer to a question this page finally…
A system monitoring its own battery level, programmed to seek a charging station and redirect its other activity when the level drops low, is routinely described in casual conversation as "getting hungry." The…
A spreadsheet is a tool: nobody apologises to it, consults it about how it feels regarding a proposed change, or wonders whether it should be credited as a co-author. A long-serving human colleague is, among other…
This page closes the series deliberately without a verdict. Its job is narrower and more useful than settling whether any current system suffers: to separate the rungs of a ladder that discussions of machine suffering…
The pages in this series were written to clarify distinctions rather than settle arguments. If they have done that job well, they should leave a reader with more questions than they arrived with, not fewer. What follows…