Expeditions is about...

Navigating the AI frontier: Projects across media

AI is for sure transforming the way we create, and Expeditions is where I dive into that change. From videos to music to mixed media, each project pushes AI’s capabilities and uncovers new creative possibilities. It’s not about the destination—it’s about discovering what can happen along the way.

Expedition Areas...

Visual Expeditions

This is where I’ve experimented with AI-generated visuals, exploring different styles and techniques. It’s all about seeing what can happen when you give AI the brush.

 

Discover the Art

Sonic Landscapes

In Sonic Landscapes, I’ve been "composing" AI-generated music—discovering new ways AI can assist in crafting and producing unique tracks. Drop in and get your headphones ready!

 

Listen Now

Cinematic Journeys

Explore how AI can reshape storytelling. Each video project is a step into the unknown, pushing boundaries in visual narratives and challenging traditional cinematic techniques.

 

Watch the Stories

Creative Lab

The Creative Lab is where I mix insights, tools and ideas for experimental projects. It’s my space to play around with AI and see what unexpected results emerge.

 

Enter the Lab

Latest Expeditions

The inherited loop 1 – We named it chat, and built it to fit the name

The inherited loop 1 – We named it chat, and built it to fit the name

Twice this year the way I talk to an AI changed, and neither time had anything to do with the model getting smarter. The first was a dictation tool in the spring; the second was an evening in September, talking to a machine in real time with the wait taken out. Both times, what changed was the loop between us — and the next morning, at the keyboard, the same tool felt like filling in a form. This first half is about that loop: why we inherited it, why we named the thinking machine after a chat window, and why “friction” is hiding two different things, only one of which makes you think.

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The inherited loop 2 – The borrowed drive, and a tool built for leaving

The inherited loop 2 – The borrowed drive, and a tool built for leaving

If the box is the wrong loop, why does the industry, when the box stalls, reach for points, streaks and praise? In this second half I go looking for the answer in the science of motivation and learning, and find that my own theory — that thinking and playing run on different chemistry — was wrong. What survived is better: one appetite, two ways of feeding it, and a borrowed drive that turns out to be agreement, not speed. Then I set out what a tool would have to do if its goal were not to keep you, but to make you need it less — and where my concept had to change to get there.

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The inherited loop 3 – The half nobody designed

The inherited loop 3 – The half nobody designed

Every product has two halves: what you can do, and what the system says back. The first has been designed for forty years; the second was assembled by whoever held the code. Post 3 names that half — system response design — teaches its first rule from a red lamp in a control tower, and shows why AI tools just made it ten times harder.

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The inherited loop 4 – Where the two halves meet

The inherited loop 4 – Where the two halves meet

Every AI tool built around a conversation now speaks from three places: a folded line, a panel beside the conversation, a row under the box you type in. The layout settled in two years by copying. What it did not settle is which of seven things in motion earns a light — and the confirm message shows what happens when nobody decides.

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The living circuit: How your values are built — and where your biases are really born

The living circuit: How your values are built — and where your biases are really born

We’re taught that cognitive biases are glitches — little errors of reasoning we could catch if we just learned their names. But what if a bias isn’t a bug at all, but a defence: what your motivational system does when it’s protecting something it cares about, under pressure, as it meets the world? This is a deep dive into the machine beneath your mind — where your values actually come from (mostly not from you), why the person you show the world is never quite the person inside, and why the same architecture can produce a saint, a zealot, and a hollow high-achiever depending only on the state it’s in. And a harder question underneath: what happens to all of it when the machines we build start feeding the very needs that shape us? Part one of The machinery of bias — a five-part journey into the whole system.

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The ecosystem of cognitive bias — Ten machines, one mind

The ecosystem of cognitive bias — Ten machines, one mind

A rumour starts with moving boxes outside an office — and months later it is a “fact” everyone somehow knows. We talk about cognitive bias as if it were a glitch in an individual head — a list of about two hundred named mistakes. But there is an entire production and distribution system for it: over a thousand catalogued parts, ten machines, three roles, one customer at the centre — and you live inside it. Part two of The machinery of bias, a five-part journey: the whole map at once — who creates, who reshapes, who routes, records and programs, and the one current of wanting that runs through it all. Before we take the engines apart one by one, come see the whole system.

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The origins of bias — Where your biases are actually made

The origins of bias — Where your biases are actually made

Everyone can name three cognitive biases. Almost nobody can say where a single one is actually made. This is the factory-floor tour of the whole system: ten layers opened one by one — individual, social, public, synthetic, biology, media, economic, cultural-linguistic, institutional, knowledge. Two of them make biases. The rest make something the textbooks don’t have a word for — and at every machine, named products from its own shelf, so you can recognise its work in the wild. Part three of five. Come see where your biases actually come from.

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The signal — How bias travels

The signal — How bias travels

A rumour can be stone dead where it started and still working, untouched, three layers away. This is the part where the machinery of bias starts moving: what a cascade is, the four pressure dimensions of a travelling claim, the six shapes, the alignment that makes one ignite — and the finding worth the whole series: damage is decided by the route, not the content. The rumour that opened this journey gets its ending, panel by panel, layer by layer. Part four of The machinery of bias. One question is left standing at the door: what could possibly stand in its way?

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