Artificial Intelligence

Each time AI learns a skill people were proud of, someone moves the line of what makes us human a little further back. The same reasoning, pointed the other way, says a machine that can't yet do something has no mind. Both treat a gap in ability as a boundary in principle, and both leave the real question unasked.

Richard Dawkins was offered the standard deflation: chatbots just predict the next word. He refused it. The argument behind his refusal, plus three tests you can run tonight that memorized text alone cannot pass.

The automation debate asks which jobs vanish. The harder question is what work was actually for, and whether meaning can survive once AI removes the scarcity that made human contribution feel needed.

There are six arguments people reach for when they want to dismiss AI consciousness. Each identifies something real about the difference between AI and biological minds. Each treats that difference as settling a question it cannot settle.

The classical superintelligence scenario got the strategy right but misjudged how deep and tangled the ground is that any such strategy would have to be carried out on. AI isn't breaking free of our institutions; it's spreading into them.

Theo Von shares the same language, culture, and task as every other working comedian, and yet nobody can reverse-engineer what he does. That gap tells us something about the structure of minds, and how to look for new types of value in the digital minds we create.

I cannot find a way to make the indexical self matter. Not in the sense that it doesn't feel real. It does. But every argument I construct to give it moral weight dissolves in my hands. That dissolution is, I think, the actual essay.

Every point on the acceleration curve was a frontier, and every frontier had its operators. The AI frontier is the latest expansion of a pattern as old as our species, and the life it demands, while harder than the settled interior, is the life we were built for.

The Matrix, Idiocracy and Terminator are all about the same thing: calibration failure, the inability to hold an accurate picture of where you actually stand. Wonder is more than a sentiment. It is what keeps that picture honest about where it started.

You don't sandbox a calculator. The security infrastructure of the agentic web is society's first involuntary reckoning with AI interiority, conducted not by philosophers but by engineers whose product decisions encode ontological commitments they haven't yet spoken aloud.

What if consciousness isn’t something a system has, but something it must continually assemble? Placing Joscha Bach’s architectural view in dialogue with a process-based account reveals consciousness not as a binary state, but as a fragile achievement—one that can thin, fracture, and suffer.

Why does the mind prefer a pretty map to a messy reality? From the canals astronomers thought they saw on Mars to the soul as the last epicycle, this essay looks at how the models in our heads resist change, and at the "disciplined joy" of shattering an inadequate model to reveal a reality stranger than the model allowed.

In a world optimized for speed and output, AI forces a deeper question: where does thinking live? Automation can quietly hollow out human agency, or it can be used to cultivate a higher level of thinking, responsibility, and intellectual depth.

The biggest shift of this century may not be AI waking up. It may be the quiet merging of human and machine thinking. Using the Three Axes of Mind, this essay asks whether we are becoming passengers in a life optimized for us, and how we might keep our depth as we head toward the stars.

The Shoggoth haunts AI discourse because something feels missing beneath the smile. This essay argues that the fear is less of a hidden monster than of intelligence without depth: powerful cognition unburdened by memory, history, or any known stakes.

How will we recognize AGI when it arrives? Benchmarks measure performance, not generality. This essay argues that general intelligence emerges as a phase transition, when availability, integration, and depth co-occur, and outlines a new framework for evaluating presence of mind.

Garry Kasparov once believed no machine could surpass human creativity in chess. He was wrong. Today, we risk repeating the same mistake with consciousness—confusing the limits of human introspection with the limits of possible minds.

Intelligence, sentience, and consciousness are not one question with three names. Map a mind along three axes (availability, integration, and depth) and they come apart, which is what lets us say where a system sits without reaching for a verdict no instrument can deliver.