Ideas I am
following.
Synthetic Natural Food
“Can an image become something we can taste?”
Synthetic Natural Food begins with a deliberately unstable boundary: the distance between a generated image, a plausible recipe and a physical object. I am interested in what happens when artificial intelligence is treated not as a picture-making utility but as a participant in an extended act of invention. A model can combine visual memories of thousands of foods into an object that appears culturally familiar and physically impossible at the same time. The project follows that object beyond the screen. It asks which parts of the hallucination can become ingredients, structures, rituals or sensations, and which contradictions should remain visible. The goal is not to automate cuisine. It is to use the friction between machine imagination and material reality to discover unfamiliar forms of appetite, authorship and cultural meaning.
Parallel Company
“Can a company be designed to learn as quickly as its products do?”
Parallel Company imagines an organisation with a continuously updated model of itself: its customers, decisions, assumptions, capabilities, dependencies and unresolved tensions. Most companies operate through fragmented representations—a strategy deck, a financial plan, a product roadmap, a CRM and countless private interpretations of why something happened. The parallel company is not a digital twin pretending to reproduce the organisation perfectly. It is an inspectable, contested model that remembers what the company currently believes and how those beliefs changed. Teams can explore possible decisions inside it before committing real resources, compare alternative explanations and see where local optimisation damages the whole. Strategy becomes a living learning system rather than an annual document that begins decaying as soon as it is approved.
Proof
“What if mathematics were a collaborative medium, not a solitary language?”
Proof is an exploratory environment for moving between intuition, diagrams, computation and formal reasoning. Mathematical work rarely begins in the syntax in which it is finally published: it begins with examples, visual hunches, analogies, failed constructions and half-formed invariants. Current tools divide that process. Proof assistants demand precision but offer little support for discovering what to formalise; conversational models offer fluency but can make invalid reasoning feel complete. Proof would preserve the productive uncertainty of exploration while creating a visible path towards verification. It treats mathematics as a collaborative medium in which a learner, researcher, machine and community can share objects, transformations and questions without confusing suggestion with truth.
Model Garden
“Could organisations grow their own small, specialised intelligences?”
Model Garden imagines artificial intelligence as an ecology of compact, governed capabilities rather than one enormous universal model. An organisation would cultivate smaller systems around specific knowledge, responsibilities and constraints: a model that understands one manufacturing process, another that checks a narrow regulatory task, another that routes a carefully defined customer request. Each intelligence has a purpose, habitat, maintainer, evaluation set and retirement condition. The metaphor matters because a garden is designed but never fully controlled. Capabilities grow through data and use, compete for resources, drift when their environment changes and sometimes need to be pruned. The objective is not maximum generality; it is a legible ecology whose behaviour an organisation can understand and govern.
Counterfactual
“Can leaders test important decisions before reality makes them expensive?”
Counterfactual is a decision studio for exploring not one forecast but a structured field of plausible outcomes. Important choices are made inside systems where actors adapt, evidence is incomplete and the intervention itself changes behaviour. The product would let a team express several competing models of that system, intervene on each and observe where their consequences diverge. It does not promise to show what will happen. It reveals what would need to be true for a particular future to emerge, which assumptions carry the decision and what early evidence would distinguish one world from another. The aim is to transform uncertainty from a rhetorical disclaimer into material that can be inspected, debated and acted upon.
New Matter
“What materials become possible when algorithms join the design process?”
New Matter is a computational materials company focused on substances and structures whose performance emerges from geometry as much as chemistry. Nature repeatedly achieves strength, flexibility, porosity and repair through organisation across scales; industrial materials are still often discovered through slow cycles separated between simulation, formulation, fabrication and testing. I imagine a closed learning system in which algorithms, scientists and machines search together for manufacturable structures with lower material and environmental cost. The ambition is not to ask a model for magical molecules. It is to create a disciplined route from desired behaviour to geometry, composition, process and physical evidence, allowing previously unreachable trade-offs to become legitimate design territory.
Signal Foundry
“How can weak signals become useful direction without becoming hype?”
Signal Foundry is an opportunity-intelligence system for turning scattered evidence of change into propositions a team can investigate. A weak signal matters only in relation to other changes: a scientific capability becomes commercially relevant when cost, regulation, behaviour, infrastructure and language begin moving around it. The system would connect research, patents, company formation, standards, purchasing behaviour and cultural expression into evolving theses rather than an endless feed. It does not promise to reveal the future before everyone else. It helps a team see why a possibility may be becoming actionable, what would have to happen next, what contradicts the story and which experiment could distinguish a structural transition from temporary attention.
Spatial Reasoning Engine
“Can AI understand space well enough to design with us?”
Spatial Reasoning Engine is a geometry-native intelligence layer for systems that need to understand what fits, connects, moves, collides, supports or can be assembled. Language models can describe a room or object convincingly while remaining unreliable about exact position, scale and multistep physical transformation. I imagine an architecture in which perception, geometric representation, constraint solving and planning remain explicitly connected. Natural language can state intent, but measurable space governs what is possible. The system would support machines and people designing, building and acting inside real environments where a small geometric error can propagate into failure.
Personal Science
“What if everyone could run rigorous experiments on their own life?”
Personal Science is a private research companion for turning questions about health, learning, work and habits into careful small experiments. People already change routines and collect measurements, but the process is usually guided by anecdote, generic advice or correlations discovered after the fact. I imagine a system that helps someone formulate a question before looking for an answer, design a safe protocol, understand what one person's data can and cannot establish, and preserve negative results. It is not a machine for optimising every hour of life. It is a way to replace vague self-tracking with modest, inspectable learning while protecting the intimacy of the data involved.
The Missing Product
“Can unmet needs be discovered mathematically before users describe them?”
The Missing Product is a category-discovery engine for finding structural gaps between behaviours, existing products, enabling technologies and business models. People rarely articulate a category that does not yet exist. They reveal it indirectly through workarounds, combinations of tools, abandoned attempts and jobs that remain expensive or emotionally difficult. I imagine mapping those traces as a changing system and looking for places where a newly available capability can make an old unmet need solvable. The system does not declare that every gap deserves a company. It turns unfamiliar adjacency into a precise question, then helps a team design the cheapest behavioural test capable of disproving it.
Common Ground
“Can AI help people disagree without making them enemies?”
Common Ground begins with a frustration: public conversation has become exceptionally good at sorting people into camps and exceptionally poor at helping them think together. I imagine a new kind of civic institution—not another social network and not an AI moderator that decides who is right. It would be a place where a difficult public question can be unfolded slowly enough for people to see the evidence, values, fears, incentives and trade-offs inside it. The purpose is not artificial consensus. The purpose is a better disagreement: one in which participants understand what is actually contested, what is merely misunderstood and where a shared next experiment might still be possible.
Second Life
“What if every object carried the intelligence needed to become useful again?”
Second Life imagines that every manufactured object has a persistent material identity. Today, products arrive with marketing stories but almost no usable memory: we do not know exactly what is inside them, how components are joined, what has happened during their life or which local actor can repair, reuse or recover them. I want to reverse that. An object should be able to explain itself—not through a static QR-code brochure, but through a living passport that changes with repair, ownership, condition and place. The ambition is to turn waste from an inevitable ending into a routing failure that intelligence can help prevent.
Atlas of the Possible
“Can mathematics reveal futures that imagination alone would never find?”
Atlas of the Possible is a visual instrument for exploring complex systems as landscapes rather than forecasts. When I think about a city, a company, an energy network or a social problem, I do not want one predicted future. I want to see the shape of possibility: which regions are reachable, which constraints create cliffs, which small intervention opens a new path and which apparently attractive future collapses when one assumption changes. The Atlas would combine mathematics, simulation and generative AI to let people travel through possible worlds while keeping every world connected to explicit rules.
Quiet Signal
“Can we see neurovascular danger before it becomes an emergency?”
Quiet Signal begins with a difficult asymmetry. The brain can change catastrophically in minutes, while the conditions that make a stroke or aneurysm dangerous may develop quietly over years. A scan is normally read as a moment. A blood-pressure value is a moment. A brief neurological examination is a moment. I imagine a system that can remember those moments together and help a specialist notice when the pattern has changed. The aim is not to predict every stroke, screen everyone for aneurysms or place a diagnostic alarm in a consumer app. It is to build a careful, longitudinal neurovascular intelligence layer for people whose history, symptoms or known findings already justify clinical attention.
Living Shelf
“Can commerce become a living simulation rather than a sequence of guesses?”
Living Shelf starts from a simple observation: an FMCG product is never sold in an abstract market. It exists simultaneously as a formulation, a pack, a price, a promise, a physical object moving through a supply network and a possible answer to a human need. Today those dimensions are optimised by different teams and different systems. I imagine something more ambitious: a continuously learning digital twin of commerce in which every product, store, channel, consumer mission, promotion, inventory position and external shock has an explicit place. Before changing a real price or launching a real pack, a company could create the decision inside this synthetic market, observe several plausible futures, understand who benefits or loses, and choose a bounded experiment. The aim is not to automate the extraction of value from consumers. It is to make the whole commercial system legible enough to design better offers, fairer pack architectures, more resilient supply and less waste.
Civic Compiler
“Can society test a rule before living inside it?”
Civic Compiler begins from an uncomfortable fact: law is one of civilisation's most consequential technologies, yet we usually discover how a new rule behaves only after millions of people and institutions are already living inside it. A statute is written as text, interpreted through precedent, modified by guidance, activated by facts, constrained by rights and transformed by enforcement. I imagine a normative digital twin capable of representing that living system through time. Before a regulation, contract architecture or public programme becomes operational, its authors could compile it into rights, obligations, permissions, exceptions, powers, remedies and unresolved ambiguities; simulate how those elements interact with real institutions and heterogeneous lives; and expose contradictions, unequal burdens and paths to abuse while change is still possible. The ambition is not to turn justice into software. It is to give legal imagination an instrument as serious as the systems it designs.
Reality Syntax
“Can data become a world we can enter, question and remember?”
Reality Syntax begins with a refusal: data does not naturally want to become a dashboard. A dataset is evidence collected through instruments, categories and choices; a chart is one temporary projection of that evidence into human perception. Yet most systems freeze the projection, hide the transformation and reward the fastest-looking answer. I imagine a representation operating system that can compile the same evidence into visual, spatial, sonic, tactile, narrative and conversational forms—each adapted to the question, the person, the room and the consequences of being wrong. The representation would remain alive: touching a mark could reveal its source; changing an assumption could reshape the entire scene; uncertainty could acquire movement, texture or sound; and a blind analyst could navigate the same structure through spatial audio and haptics. The ambition is not to decorate data. It is to create a new medium in which evidence can be perceived from several valid positions without losing the line back to reality.
Consensus Field
“What if advertising agencies became accountable for the realities they make possible?”
Consensus Field begins with a provocation: advertising does not merely represent culture; it changes the geometry of what a culture can imagine, desire and coordinate around. A campaign can make an unfamiliar behaviour feel normal, pull distant concepts together, erase alternatives from attention and give a possible future enough shared language to become real. I imagine a new kind of agency that treats every intervention as a measurable transformation of a collective possibility space. Before releasing a story, it would model the cultural field it enters, simulate several plausible trajectories and declare the world it intends to make more likely. Its creative work would still need surprise, emotion and beauty—but it would arrive with causal hypotheses, uncertainty, affected perspectives and responsibility for second-order effects.
Social Matter
“Can a city transform human coincidence into relationships that last a lifetime?”
Social Matter begins with a different diagnosis of loneliness. The problem is not that people lack communication channels or compatible profiles; it is that modern life no longer produces enough repeated, embodied encounters from which trust can grow. Friendship needs effort, reciprocity, shared activity, memory and somebody willing to initiate. I imagine a civic operating system that treats those conditions as infrastructure. It would not recommend friends or mediate conversation. It would alter the rhythms of places—opening hours, recurring activities, routes, tables, courts and hosts—so that strangers can meet again without being engineered into a relationship. Its deepest horizon is human continuity: preserving society's capacity to meet, remember, care and create futures together.
Claimspace
“What if every pharmaceutical claim had to carry its own proof?”
Claimspace begins with a refusal to choose between imagination and evidence. Pharmaceutical communication is usually produced in one world and approved in another: artists seek surprise, marketers seek distinction, medical teams protect accuracy and regulators inspect what remains. I imagine a new creative medium in which those forces inhabit the same space from the first gesture. Every sentence, image, metaphor, sound and interaction would be born inside a living map of what the evidence can support for a particular medicine, audience, jurisdiction and moment. Creativity would not be reduced to compliance. It would gain a new material: the exact shape of what is known, uncertain, forbidden and newly becoming possible.
The Third Body
“What if doctor and patient could temporarily share a body that belongs to neither of them?”
Medicine has spent centuries learning to look inside the patient, yet the fundamental gap remains: the patient inhabits illness without clinical interpretation, while the physician interprets illness without inhabiting it. The Third Body imagines a temporary synthetic sensory organism grown between them. It would translate physiology, lived experience, medical knowledge and uncertainty into a shared perceptual environment that neither person could create alone. It is not a digital twin, an AI doctor or a simulation of empathy. It is an intersubjective medical organ: a new sense through which doctor and patient can encounter illness together without surrendering their distinct perspectives.
Parallax
“Can a game discover an idea that no discipline could produce alone?”
Parallax treats knowledge not as a collection of answers but as a space that can be folded. Players bring two distant fields together—an immune system and cybersecurity, a forest and a city, music and a market—and search for structures that remain invariant when vocabulary changes. The goal is not to notice a poetic resemblance. It is to construct an analogy strong enough to generate a prediction, expose its own limits and become an experiment. Knowledge connects what exists; imagination connects what has never met; Parallax tests what can survive between them.
Alien Instruments
“What if the next scientific revolution requires a new way of perceiving?”
Every scientific instrument makes something visible and something else disappear. A telescope extends sight; a coordinate system decides what sight can mean. Alien Instruments begins with a different ambition: to invent instruments that change the representations through which we reason. Could a machine propose a structure that a human would not naturally choose, and could we learn to think through it? Not an image of alien intelligence, but a disciplined encounter with unfamiliar ways of organising the same evidence.
The Unfinished Flow
“If a machine completes the proof, who completes the understanding?”
In September 2026, OpenAI published an AI-generated analytical proof, formalised in Lean, claiming that a smooth, forced three-dimensional Navier–Stokes flow can develop a singularity in finite time. A problem that resisted generations of mathematicians may have crossed a historic threshold through machine reasoning. The Unfinished Flow now begins at that threshold. The proof may be complete; the act of understanding it is not. What does discovery mean when an artificial system produces the decisive argument—and what remains uniquely human when correctness can arrive before comprehension?
Proof-Carrying Markets
“What if permission travelled with the action?”
Ultra-regulated markets could become the safest places for consequential autonomous systems—if regulation becomes part of the computational substrate. Every consequential action would carry verifiable evidence of its authority, conditions and limits.