Since 2006

HyperZettel

An AI wiki that looks for what none of its cards say

Books 1012Paper 75Articles 66Doc 158Connections 9Authors 337Wiki 413
Read

Every card is read whole by Claude, down to the quotes.

Reduce

Each card falls into four to six claims of thirty words at most.

Combine

Distant ideas meet in theories that no single source holds.

Count

Novelty is an empty intersection, checked by arithmetic every night.

Inhabit

Hypotheses are read from where one subject stands.

Judge

Keep, discard or object. The machine reads the verdicts and never edits them.

Philosophy

A library should argue back

Reading piles up faster than it connects. HyperZettel treats a personal archive as a material to be worked: every book reduced to its claims, every claim set against the others, until an idea appears that was in no single book.

Is this idea original?
Does any card already say all of this?

The first question asks for an opinion. The second can be answered with a count, and the whole method rests on that swap.

Atom A · 3 cardsAtom B · 12 cardsAtom C · 4 cards ∅
Illustrative. Each circle is the set of cards holding one atom. A combination counts as new only when the centre is empty.

Only what the sources say

Every generated text rests on the cards alone and is presented as a hypothesis. Molecules, bodies and habitats each carry a limit: one sentence stating what would disprove them.

Novelty is measured

Whether a claim is new is decided by the set of cards behind it, never by the taste of whoever writes it. The check runs again on every construct, every night.

Small steps, in the dark

Work happens overnight, in logged passes with backups and validity checks. The reader steers with explicit judgments that the routines may read and may not change.

Four patron saints

They watch from the top of every screen, and each lent one piece of the method.

NL

Niklas Luhmann

The Zettelkasten. Short, linked cards that, given enough links, become a partner able to surprise their author.

BA

Bill Atkinson

HyperCard. A card index to walk through, where each card is also a place to jump from.

AK

Andrej Karpathy

The wiki compiled by a model. Raw documents stay put while an assistant distils them into entries that maintain themselves.

JvU

Jakob von Uexküll

The Umwelt. The world as one subject lives it, made of what it perceives and what it can act on.

One original. Three layers

Every piece of information has exactly one master copy, which keeps a growing system honest.

767

Raw sources

Documents, reviews and notes stay where they are. Copies are converted to Markdown and never edited.1

1,754

Wiki pages

Markdown files, read in Obsidian. This is the master copy of every card, and corrections happen here.1

1

Derived index

A folder of JSON (JavaScript Object Notation) files holding every construct. It is rebuilt by routines and read live by the app, which needs no recompiling when data change.

Constructs

Seven levels. One way up

Each level is built only from the one below, and each step up must add something that the level below does not hold. The numbers fall fast, and that is the point.

Bars on a logarithmic scale. Counts of 2 Nov 2026 for the main chain.12

One idea, followed all the way up

A real line of descent from the archive, translated from Italian for this page.3

Cards

Four books that never meet

When AI meets desire on luxury retail. How Fashion Brands Get AI Visibility Right on assistants. The Cashless Revolution on Chinese finance. The State Strikes Back on the party and the economy. Eight cards in all feed this line, and none holds all of it.

Units
  • “For decades luxury strategy organised itself around destinations controlled by the brand, such as store, site and wholesale partner.”
  • “An assistant recommends brands from associations learned in training and from sources fetched by live search, and position cannot be bought.”
  • “China went from cash to super-apps that bring together payments, credit, investments, shopping, travel and messaging.”
  • “Under Xi the platforms were hit and their stock of technology and data was absorbed by the public side.”
Atoms
  • Luxury and channels · 3 units
  • Being understood by AI and being chosen are different things · 12 units
  • Super-apps bring together payments, credit and shopping · 2 units
  • Under Xi the State takes back control of the economy · 4 units
Molecule

The meeting point with the client becomes contested

Hypothesis: luxury strategy organised itself around brand-controlled destinations while discovery moves to intermediaries the brand does not govern. Where platform data are absorbed by the state, the intermediary answers to a power outside the market. The meeting point becomes a contested resource, and the brand must reckon with whoever governs the intermediary as well as with the client.

Would be disproved if luxury brands kept control of discovery even when search and purchase pass through assistants and super-apps subject to public power.

Body

Intermediated growth holds only with written rules

Joined with two other molecules: fixed costs and the stock market force growth toward agents that compare what is comparable, and in agent systems full price survives only as a written constraint. The maison would have to carry written rules into the contested point itself.

Umwelt

The sales director must grow where he does not decide

Three bodies read from one chair. He perceives budget, cost pressure and volumes from outside agents. The fading of rank and the assistants' reading of the client reach him late. He can still write price and distribution as constraints agents can read, and choose early which intermediaries to admit.

Partitur

Written constraints and the memory to reopen

Version 007 sets all seven habitats side by side. Each subject acts on what is written, counted or quoted, while the lever often lies outside its perimeter. The voices diverge on where to act: in the masters, in the invariant, in the history of the pieces, in the rules for agents.

Four constructs beside the ladder

They do not stack. They feed the daily practice of reading.

28

Concepts

One each morning, from two or three linked cards: 70 to 90 words, a question, a verified artwork, and a small experiment to try.

9

Connections

Chosen by the reader: two or more cards and two lines of instructions. Claude compiles them, citing the card behind every claim.

23

Notes

Cards that start from a working document instead of other cards. Anything marked confidential stays out of the construct chain.

13

Evenings of suggestions

A book, an article and a report each night, verified on the web, new to the wiki, and tied to named cards.

Environments

The same archive. Seen from every height

Each screen shows one level of the structure, and each links to the others: an atom leads to its cards, a card to the atoms it shares, a molecule to the atoms that form it. The toolbars below work: they jump between screens.3

Cards

The archive at a glance: what came in, what talks to what, and which cards still talk to nothing.

HyperZettel
Search title, author, publisher, wiki entry
Cards · the archive at a glance
Cards · total
1162
Books
1012
Paper
75
Articles
66
Last 7 days
+384
Isolated
172
Shelf by genre
Philosophy 623Other 181AI and technology 142Luxury and business 131History 75
By original year · 1405–2026
Most in dialogue
When AI meets desire45
The AI operating system37
The agentic transformation office33
Co-Existence32
Scaling the Agentic Enterprise28
Not yet in dialogue · 172 cards share no atom
A Thousand Plateaus→
A return to seriousness→
Adorned in Dreams→
Anti-Oedipus→
Being and Event→

The card

A card is a working page. Beyond summary, thesis and context, it lists the atoms drawn from it and every other card that holds the same idea.

Article · Anita Balchandani, Gemma D'Auria, Holger Harreis, Roger Roberts, Steven Begley, Katharina Giebel
When AI meets desire
Innovating human-centered luxury experiences in the agentic age
Open the PDF
Summary
McKinsey Retail Practice article, May 2026, on luxury in the age of AI agents. It argues that the decision moves upstream, to the point where the client voices an intention and an agent interprets it, so that the strategic question becomes who controls that first interpretation.
The thesis
For decades luxury strategy organised itself around destinations: the store as main door, the site and wholesale partners as extensions under brand control. Agentic commerce breaks that logic, because systems interpret, compare and select products on the client's behalf.
Conceptual units
6 atoms · on average 4.9 per card across 1131 cards
People keep judgment, goals and exceptions
“The purchase path splits into four stanzas with different degrees of delegation to the agent, and a handover to a person at the moments that risk regret.”
Also in: The AI operating system · The agentic transformation office · Co-Existence · Co-Intelligence · +4 more
ART-020
Publication
McKinsey & Company (Retail Practice)
Date
2026-05
In the wiki
Winning Over the Customer in the Age of AI
The State of Fashion 2026
The Formula for Agentic AI Value
Open the card in the wiki

Wanderkarte

The home screen, named after a hiking map. Every card is a node, in two or three dimensions. Each morning a new concept appears and the cards behind it light up in the graph.

HyperZettel
Search title, author, publisher, wiki entry
Wanderkarte
1162 cards · 224 authors · 412 wiki entries · 155 docs · 8495 links
Concepts 28/28 · At the meeting of 3 sources
The Piece Exists Twice
Artwork
Shapolsky et al. Manhattan Real Estate Holdings
Hans Haacke, 1971
For Ferraris a social object is an inscribed act: if the archive burns, the land stays and the ownership vanishes. Applied to a handbag, the argument splits it in two.
If the passport provider shuts down, what remains of a provenance the maison never kept itself?
Explore · Suggested by the cards · 2026-11-02
Book · Lisa Gitelman · 2014
Paper Knowledge
OpenAdd as card
Collision
Umwelt 7/7 · From at least three bodies
The sales director must grow where he does not decide
LinkITENPinPNG
Unprecedented · 3 bodies, 6 molecules
Bodies 13/13 · From at least three molecules
What the model makes canonical reopens from outside
Unprecedented · 3 molecules, 10 atoms, 42 cards
Molecules 19/19
The trained archive behaves like a canon

Concepts

The morning's thought, and the place where the reader answers back. Keeping a concept turns it into a connection. Discarding teaches the night what to avoid. Objecting asks for the opposite thesis on the same sources.

HyperZettel
Search title, author, publisher, wiki entry
Concepts · 28, most recent first
Concept · 2026-11-02 · At the meeting of 3 sources
The Piece Exists Twice
Artwork
Shapolsky et al. Manhattan Real Estate Holdings, a Real-Time Social System, as of May 1, 1971
Hans Haacke, 1971
The work sets photographs of buildings beside sheets taken from public records: the properties stand in the street, while the web of owners shows only in the documents.
For Ferraris a social object is an inscribed act: if the archive burns, the land stays and the ownership vanishes. Applied to a handbag, the argument splits it in two. Leather and seams resist any schema; provenance, repairs and changes of hand exist as long as someone records them. Kopytoff gives things a biography, and the digital passport offers a medium to write it. It follows that whoever runs the register keeps the piece's social value alive, and could switch it off by closing a server.
If the passport provider shuts down, what remains of a provenance the maison never kept itself?
Experiment
On a batch of pieces with electronic certificates, simulate the provider's closure and list the events (repairs, changes of ownership) the maison could rebuild from its own archives. What is missing from the list is the clause to ask for in the contract.
  • Lecture 47: The new realisms · Meillassoux, Harman, Ferraris
  • The Social Life of Things · Arjun Appadurai (ed.)
  • From Product Passports to Smart Products · Eliana Kuo
Keep itDiscardObject
Quick note
What does it make you think?
Concept · 2026-11-01 · At the meeting of 2 sources
Against: the capacity someone signs for
Counterpart of “The means no purpose holds back”

Explore

What to read next, written the night before. Each suggestion is checked on the web, searched for in the vault to prove it is new, and tied to named cards it would argue with.

HyperZettel
Search title, author, publisher, wiki entry
Explore · 13 evenings, most recent first
Suggested by the cards · 2026-11-02
Book · Lisa Gitelman · 2014
Paper Knowledge. Toward a Media History of Documents
A history of the document as a genre of knowledge, from printed forms to PDF. It speaks to Lecture 47 and Ferraris's documentality, which reasons in the abstract, by carrying the problem onto concrete media, and to The Social Life of Things, where the biography of objects never asks what format it is written in.
OpenAdd as cardLecture 47The Social Life of Things
Article · Michael K. Buckland · 1997
What Is a “Document”?
A Journal of the American Society for Information Science article on how information science widened the notion of document beyond texts. It offers From Product Passports to Smart Products a criterion for deciding when an object or a product datum counts as a document.
OpenAdd as card
Report / paper · Shayne Longpre, Robert Mahari, Anka Reuel and others · 2024
A large-scale audit of dataset licensing and attribution in AI
The Data Provenance Initiative's audit in Nature Machine Intelligence of licences and attribution in training datasets. It brings data to a question Lecture 47 leaves to social ontology: who answers for the documents a model is trained on.
OpenAdd as cardThe AI Mirror

Planes

The whole hierarchy pulled apart, one plane per level. Drag the sliders, then click any dot: its line lights up from the Umwelt down to the cards. This one is live, drawn from the real links between constructs.2

HyperZettel
Search title, author, publisher, wiki entry
PLANESDaring 3 · Standard

Daring, on a slider

The same toolbar in the app holds a slider from Cautious to Daring, which every night pass reads before it starts.

Every state, kept

The app logs each change to its data with a reason such as “+1 molecule · +1 body” and the counts of the moment.

Go back, undoably

A history panel restores any earlier state. The current state stays in the list, so a restore can itself be undone.

Atoms

A matrix of the whole library: each row a card, each column an idea. A dot means the card holds that atom, and a long thread means one idea crosses distant parts of the archive.

HyperZettel
Search title, author, publisher, wiki entry
Atoms
1131 cards · 4682 atoms · on average 4.9 atoms per card
Search atom, card or sentence
Atoosa KasirzadehA New Dawn For Mathematical Progress
Andrew Pearce, Alex KouptsovScaling the Agentic Enterprise
Dan Hastings, Eoghan O'DonnellHow AI Is Reshaping the Battle
Lieven Van der Veken, Sandra DurthThe AI operating system
Antoine Montard, Dago DiedrichWhere AI will create value
Deloitte AI InstituteState of AI in the Enterprise 2026
Chase Covington, David PralongThe agentic transformation office
Francis Buttle e Stan MaklanCustomer Relationship Management
David LoshinMaster Data Management
Ida Palombella, Katie WeirGlobal Power of Fashion
Ralph Kimball e Margy RossThe Data Warehouse Toolkit
Asutosh Padhi, Brian ElliottThe Formula for Agentic AI Value
LectraHow Lectra helps you lead the way
TEHA GroupJust Fashion Transition 2025
Joe Ngai e Nick LeungThe Next China Is Still China
The Business of Fashion & McKinseyThe State of Fashion
Annika A. CulverDemocratizing Luxury
Pierre-Yves Donzé e Rika Fujioka (eds)Global Luxury
Teri AginsHijacking the Runway
Rosalind H. WilliamsDream Worlds
Michel Chevalier e Gérald MazzalovoLuxury Brand Management
Mark TungateLuxury World
Martin Kihn e Christopher B. O'HaraCustomer Data Platforms
Silvio Palumbo, Mark Abraham, Yun LimHow the Composable Shelf
Each row is a card, each column an idea atom. A dot means the card contains that atom; an empty cell means it doesn't.
BooksPaperArticlesConnections3623 atoms in a single card

Molecules

Three or four atoms that no card holds together, turned into a theory with a stated way to fail. Each one shows its proof of novelty in green.

HyperZettel
Search title, author, publisher, wiki entry
Molecules · 19 unprecedented combinations of atoms
The trained archive behaves like a canon
LinkITENPinPNG
The winners rewrite the history of doctrineThe canon generates commentaryFrequency does not make identityManuscripts give back the defeated voices
Unprecedented · None of the 3 cards involved contains all 4 atoms
Hypothesis: a model trained on a maison's archive could behave like a canon. It learns what the house did most often, while identity lies in what survived the changes of hand. A canon makes a text untouchable and generates commentary: whoever queries the model glosses an already fixed version instead of disputing it. In religious histories the winners rewrite the past by presenting the alternatives as deviations, and the defeated voices become audible again only through recovered manuscripts. It would follow that a house's rare choices turn into deviations through statistical weight, and that hearing them again requires documents kept out of training.
What would disprove it
The theory falls if people working with models trained on an archive recovered rare pieces and abandoned lines as well as people who consult the archive without a model.
Source cards
  • Lost Christianities
  • Cultural Memory
  • The Early History of God
Created 2 Nov 2026 · Daring 3 · Standard

Bodies

At least three molecules joined in a higher-order hypothesis. Three tests stand between a candidate and the file, and the screen prints the result.

HyperZettel
Search title, author, publisher, wiki entry
Bodies · 13 hypotheses from at least three molecules
What the model makes canonical reopens from outside
LinkITENPinPNG
The trained archive behaves like a canonThe misplaced concreteness of AI metricsThe passport as a feedback organ
Solid coral line: the two molecules share atoms (the thicker, the more atoms in common) · dashed: no atom in common
Unprecedented · 3 molecules, 10 atoms, 42 cards: no card and no molecule brings them all together
Combined molecules
  • The trained archive behaves like a canon
  • The misplaced concreteness of AI metrics
  • The passport as a feedback organ
A plausible hypothesis to discuss: what a model makes canonical might reopen only from outside the model. One molecule observes that a trained archive fixes what is frequent and turns rare choices into deviations. Another notes that a visible, partial layer such as adoption metrics takes the place of what actually operates. The third reads the digital product passport as a return channel that lets a brand notice its own errors after the sale. Taken together, they suggest that whoever consults the synthetic memory of their own house risks mistaking it for the house, and that correction would have to come from events recorded outside training: the life of the pieces.
What would disprove it
The theory falls if brands pairing the model with life-cycle data corrected their reading of the archive no more than brands using the model alone.

Umwelt

The turn from theory to situation. Three bodies are read as the habitat of one subject: a chief financial officer, a workshop head, a shopping agent. What it perceives, what it can act on, and what follows.

HyperZettel
Search title, author, publisher, wiki entry
Umwelt · 7 habitats from at least three bodies
The sales director must grow where he does not decide
LinkITENPinPNG
Intermediated growth holds only with…Luxury writes down what it once…Access to the client is governed…
Unprecedented · 3 bodies, 6 molecules: no body contains them all
Subject
The sales director of a listed luxury group, who answers for volumes and chooses which channels and intermediaries to open
Merkwelt · What it perceives
The budget, the pressure of fixed costs and the stock market, the volumes arriving from external agents and super-apps. Less reaches him, and late: the signs of rank wearing away and the client as read by the assistants.
Wirkwelt · What it acts on
He can write price and distribution as constraints agents can read, choose early which intermediaries to admit and on what terms, and decide what information about the pieces stays in house.
Combined bodies
  • Intermediated growth holds only with written rules
  • Luxury writes down what it once kept in places
  • Access to the client is governed like a supply chain
What would disprove it
The thesis would fall if groups opening most to intermediated channels, without written rules, kept full price and desirability better than the others.

Partitur

Uexküll imagined nature as a score in which the worlds of living beings sound together. Here there is one score only. It is never replaced, only rewritten in numbered versions whenever something changes below it.

HyperZettel
Search title, author, publisher, wiki entry
Partitur · The single score of all the Umwelten
Partitur 007 · 2 Nov 2026 · 7 Umwelt · Daring 3 · Standard
Written constraints and the memory to reopen
Hypothesis: the seven Umwelten describe subjects who act on what is written, counted or quoted, while the lever often lies outside their perimeter. The brand receives the client already interpreted, the top team sees adoption early, the agent reads rules and data, the designer inherits a quotable archive, the finance chief measures the fast component, the workshop head loses sight of judgment passed from person to person, the sales director must grow through channels where he does not decide. The voices diverge on where to act: in the masters, in the invariant, in the history of the pieces, in the rules for agents. The night's body adds a caution for designer and brand: the model can make canonical what is frequent, and correction would come from outside. It would follow that written constraints need a return channel able to reopen what has been fixed.
What would disprove it
It would be disproved if maisons using archive-trained models and writing their own constraints, with no return channel from pieces and markets, corrected their errors as well as those that have one.
Atoms
4682
Molecules
19
Bodies
13
Umwelt
7
The score · One voice per Umwelt, one bar per version
001002003004005006007The brand in the assistants' habitatThe top team that decides before seeingThe agent that sees only what is writtenThe new designer inherits an archiveThe CFO measures what runsThe workshop head fixes the mastersThe sales director must grow
Dephasing

A laboratory. With a red triangle on the door

In this room the archive stops being consulted and starts being tested. Six experiments use everything in the index and ignore its hierarchy. Each produces candidates only: nothing enters the wiki until the reader presses a button.

0

External services for vectors and sums

Embeddings, linear algebra and on-device language models all run on the Mac.

6

Experiments

Collider, Hopeful Monster and Distiller generate. Atom Space and Latent Spaces describe. Shaker forces links.

(?)

A declared method

Most numbers on screen sit beside a question mark that explains how they are computed: weights, thresholds, formulas.

Collider

Two elements of any level run round a ring and collide. The detector reports how improbable the pair was, and a local model writes what the crash produced. Press Collide.

HyperZettel
Search title, author, publisher, wiki entry
COLLIDER Two distant elements of the wiki, accelerated until they collide
Beam A ·
Beam B ·
Improbability
–
Shared cards
–
Energy
–
Level jump
–
Press Collide to fire the beams
What the collision produced
The summary is written on the Mac by Apple Intelligence, from the two texts and the question.
Write with ClaudeCollide againAnother pair

Both pairs and their written outputs come from real runs of the app, in the English it produced.4

Hopeful Monster

Named after Richard Goldschmidt's 1940 theory of evolution by leaps. A construct is treated as a genome and pushed along eight steps of time. Most offspring die. Rarely one finds a free niche.5

HOPEFUL MONSTER Macromutations along a timeline: most offspring die, rarely one finds a free niche
The longer the horizon, the bigger each jump: more genes replaced at every step, fewer survivors.

Macromutation

Each branch bears 7 offspring per step. A share of genes is swapped from the level's pool: 25%, plus 5 points a year, up to 80%.

Vitality

An offspring lives if every gene links to the others through a shared card or wiki entry, and if no element already holds that combination.

Selection

Fitness is the share of linked gene pairs. The fittest continues the line, the runner-up opens a timeline with probability 0.55, to a maximum of five.

Atom Space

Every atom placed twice: by what it says, and by the cards it lives in. The gap between the two maps is where connections hide that nobody has made.6

ATOM SPACE
Atoms
4682
Dimensions
512 / 2756
Never met
60
Too broad
3
Near = live in the same cards and wiki entries
PhilosophyLuxury and businessAI and technologyHistoryOther
Near by meaning, never met
Exploitation ↔ Exploitation and legal equality78%
Concentration of spending ↔ Sensitivity to AI cost75%
Desire of the other ↔ Wandering and mystery74%
Too broad to be one atom
People keep judgment, goals and exceptions0.54 · 19 cards
The problem of universals between individual and species0.52 · 7 cards
Limits of the theory0.50 · 10 cards
512

Dimensions of meaning

Title and first three units pass through Apple's contextual Italian embedding, a BERT-type (Bidirectional Encoder Representations from Transformers) model. Vectors are averaged, centred and compared by cosine.

60/30/10

Weights of the card map

Same card 60%, measured with the Jaccard index. Same wiki entries 30%, cosine weighted by rarity. Same genre 10%, used only to fill gaps.

≈39

Dimensions that really count

Half the variance fits in 15 dimensions and 90% in 92. A panel under the map shows how much the flat picture distorts: 28% of true neighbours survive on average.

Latent Spaces

The main threads of the library, found without reading a word. Only one thing is measured: which atoms travel together across cards.7

LATENT SPACES The main threads of the library, found by an LSA of cards × atoms
Latent themes · 12 directions from 959 cards × 1059 shared atoms
AI AND PEOPLEDATA, PEOPLE, SYSTEMSPRESENCE AND RITUALDESIRE AND LANGUAGETRUTH IN FRAGMENTATIONPOWER AND TRUTHPOWER KNOWLEDGE SUBJECTIVITYCRITIQUE OF ENJOYMENTINTERSECTIONS OF POWERTHE TURN TO THE TRUTH OF BEING
Theme 1 · 0.6% of the structure
AI and People
Atoms
AI adoption does not coincide with value
People keep judgment, goals and exceptions
An agent applies only what the firm has written
The future of AI lies in collaboration
Cards
Scaling the Agentic Enterprise
The AI operating system
Co-Existence
The AI value curve
Latent Semantic Analysis (LSA) builds a table of cards by shared atoms, weights rare atoms up, centres the columns and takes the 12 largest eigenvectors with an exact Singular Value Decomposition (SVD). Apple Intelligence then names each direction. An atom or card that loads on two themes sits between them on the map, and those bridges are the most useful nodes in the picture.

Distiller

The whole ladder in one sitting, steered by hand at every stage. Pick cards, set how novel or how tense the combinations should be, and distil column by column up to a score of its own.

CARDS · 12
Source · live
The Scientific ImageBas C. van Fraassen
The Postmodern ConditionJean-François Lyotard
Steer atoms
Cards12
ATOMS
Steer molecules
Novelty60%
Atoms per molecule3
Molecules6
MOLECULES
Steer bodies
Shared ↔ tensionbalanced
Bodies4
BODIES
Steer Umwelten
Merkwelt ↔ Wirkweltboth
Umwelten2
UMWELTEN
Steer Partitur
Focus: what the score should listen for. Voice weights in the score.
Partitur D001 · 29 Oct 2026, 15:17
Anomalies Point to a Summit, or Dissolve It
Two voices of equal weight share one ground. Each knower sits at one level of a graded order and receives only effects of the level that founds it. The whole tells that the anomaly is both the shared method and the undecided verdict: the same residue either points toward a first principle or dissolves it into plural efficacy.
Distilled constructs live in their own file with their own identifiers, apart from the main chain, and appear in Planes and in the Partitur tabs as a side branch. One full run exists so far. Reading it beside the main score shows which theses survive a different choice of atoms.

Shaker

Take one card. Force its atoms into cards that share nothing with it, at a chosen level of recklessness, and read the bridges that come out.

SHAKER Forces connections, even daring ones, between the atoms of a card and cards they are not linked to
Card
Recursivity and Contingency
An essay in the philosophy of technology in which Yuk Hui traces, across some two hundred and fifty years of thought, the relation between organism and machine, from Kant's critical philosophy to cybernetics.
6 atoms · 1147 cards with no atom in common
Daring: recklessLinks: 4Shake
Bridge · From Overcoming Metaphysics into Labor and Monopoly Capital
The idea of the man as shepherd of being must surrender the sacred duty of preserving the mystery to the quantified control of managerial knowledge, where the execution of labor becomes a fragmented function of a class-based apparatus.
A shaken pair can graduate. The connection card “Luxury creates markets where none existed × Second Thoughts” began here, as an atom of Global Luxury forced into a book by Wilfred Bion with no atom in common. Claude then compiled it under the usual rules, and it now stands in the wiki with its limits written down.
AI at work

Three models. One division of labour

Who may write what is the central design decision. What stays in the archive is written by one model under strict rules. What gets thrown away may be written by another. What is counted is left to arithmetic.

Writes what stays

Claude

Reads the full cards and writes everything that enters the wiki and the index.

Where
Scheduled routines, and buttons in the app that open Claude with a prepared request
Writes
Cards, units, atoms, molecules, bodies, Umwelten, Partitur, concepts, suggestions
Writes what is thrown away

Apple Intelligence

The on-device model, reached through Foundation Models. Its texts are read and discarded, or become a request to Claude.

Where
On the Mac, in Dephasing
Writes
Collision summaries, monster descriptions, theme names
Reads and never writes

NaturalLanguage

Apple's contextual embedding turns atoms into vectors. Accelerate does the algebra.

Where
On the Mac, with a cache keyed on a hash of each text
Produces
Maps, neighbours, never-met pairs, broad-atom lists

A day in the system

Two night passes, with separate jobs so that neither writes over the other. A push notification reports anything new.

Wiki pass
23:47
  • Absorb new documents and reviews
  • Compile and link wiki entries
  • Write the concept and three suggestions
  • Compile up to three connections
  • Consider one new Umwelt
Construct pass
00:40
  • Process up to 100 cards, in blocks of 25
  • Update units and atoms
  • Try one molecule and one body
  • Propose merges and splits of atoms
  • Write a Partitur version if anything changed
  • Recheck novelty across the board
Morning
The reader
  • Reads the concept dated for that morning
  • Keeps, discards or objects
  • Leaves a note that can seed the next concept
  • Sets the Daring level
  • Approves or rejects atom proposals

How each construct is formed

The rules are short, written down, and enforced twice: once as an instruction to the model, once as a check on what comes back.

ConstructModel's taskInputOutput contractMachine check
CardSummarise a source, on request or overnightThe source text, plus web checks for bibliographic dataSummary, Thesis, Structure, Context. Unverified data stay emptyBroken links and orphan entries reported
UnitReduce a whole card to claimsThe entire card, never the summary alone. Bibliography, links and sources excluded4 to 6 claims of one sentence, 30 words at most. No outside knowledge. No claims about receptionSHA-256 fingerprint of the text read: a date change alone does not re-queue a card
AtomDecide whether a unit says the same as an existing atomThe new unit and the current atomsSame idea, in different words. Same topic is not enough. Title of 9 words at most. A card falls in about 5 atomsValid JSON on re-read, every card must exist. Identity itself cannot be counted
MoleculeFind 3 or 4 atoms no card joins, and theoriseShared atoms and their units. Needs at least 20 shared atomsTheory of 90–110 words as hypothesis, plus a limit. One a nightIntersection of card sets must be empty, combination must be unused
BodyJoin at least 3 molecules in a higher hypothesisMolecule theories and atom unitsTheory of 110–130 words, plus a limit. One a nightNo card or molecule holds the union of atoms. Each molecule adds an atom. Combination unused
UmweltRead at least 3 bodies as one subject's habitatBodies and their molecules. Needs a new body since the last UmweltSubject, Merkwelt, Wirkwelt, theory of 110–130 words, limitNo body holds all the molecules. Each body adds one. Combination unused
PartiturRewrite the single scoreAll Umwelten and what changed that nightA new numbered version: title, 120–150 words, limit, counts. Old versions untouchedWritten only if counts or identifiers changed
ConceptDerive what two or three linked cards imply togetherSummary and thesis of each card, plus the reader's verdicts and notes70–90 words, a question, a web-verified artwork, an experimentSource identifiers must exist, one concept per date
After writing, novelty is recalculated for every molecule and body. A molecule that no longer qualifies is marked “not unprecedented” and stays in the file. Nothing is deleted, because a growing archive can overtake an idea that was new last week.

Daring

One slider sets how far the night may reach. The evidence rules stay fixed at every level: only what the sources say, always a limit, never more than one new element of each kind.

The arithmetic is on show

The Collider's score is a weighted sum of three distances over data the index already holds.4

improbability = 0.62 · (1 − Jaccard of card sets) + 0.20 · (1 − overlap of title words) + 0.18 · (level jump ÷ 4) atom → molecule, no shared cards, no shared words, jump 1: 0.62 + 0.20 + 0.18 · ¼ = 0.865 the app reads 86.5% energy = 0.1 TeV per card behind the two particles (teraelectronvolt, for flavour)

The reader stays in the loop

The routines read the reader's files and have no permission to edit them. Judgments remain human by construction.

Keep it

The concept becomes a connection, and its themes get deepened.

Discard

Its theme and combination of cards are avoided from then on.

Object

Claude writes the counterpart: the opposite thesis on the same sources.

New with Claude

Any level can be requested by hand, under the same rules as the night.

Limits

What it does not know

A molecule says that a combination of ideas is missing from the wiki and proposes what would follow. Its worth is settled outside the index, in a conversation or a project.

22.6%

Atoms shared by two or more cards

1,059 of 4,682. Most ideas appear in one card only, so the upper levels work on a fraction of the material.

1

Step that cannot be counted

Deciding that two units say the same thing is the model's judgment. It is the one link in the chain with no arithmetic behind it.

0.6%

Structure in the largest theme

The library is very dispersed and no direction dominates. Themes read as threads, never as categories.8

28%

Of true neighbours kept by the map

The flat picture is a rough guide. Reliable neighbours are the ones computed in the full space.

Local

Novelty stops at the wiki

An empty intersection says nothing about the wider literature. An unprecedented molecule may be well known elsewhere.

IT ≠ EN

The embedding has one language

In a test, the same idea in Italian and English scored lower than different ideas in one language. Atoms are therefore kept in Italian.

Specs

Tech specs

Platform
macOS, native app written in Swift with SwiftUI. Foundation Models requires macOS 26.
Library, 2 Nov 2026
1,162 cards: 1,012 books, 75 papers, 66 articles, 9 connections. 6,915 units. 4,682 atoms.
Constructs
19 molecules, 13 bodies, 7 Umwelten, Partitur at version 007, 28 concepts, 12 atom proposals awaiting a decision.2
Storage
Markdown vault read in Obsidian. JSON files in a derived index. The app rereads files when they change and writes Markdown pages for each construct.
On-device frameworks
Foundation Models. NaturalLanguage (NLContextualEmbedding). Accelerate (BLAS, Basic Linear Algebra Subprograms; LAPACK, Linear Algebra PACKage; vDSP). Grand Central Dispatch. SwiftUI Canvas.
Methods
Jaccard index. Cosine similarity on centred vectors. t-SNE (t-distributed Stochastic Neighbor Embedding), perplexity 30 for meaning and 15 for cards, 1,000 iterations. LSA with an exact eigen-decomposition via dsyev. FNV-1a cache keys.
Night throughput
Up to 100 cards in blocks of 25. At most one molecule, one body, one Umwelt and one Partitur version.
Safety
Copy before every write, re-read after it. State registry with restore. Failed validation restores the backup.
Output
Deep links through a hyperzettel:// scheme. English view through the system translator. PNG export at 1920 × 1080 pixels.
Screens
Cards, Wanderkarte, Concepts, Explore, Planes, Atoms, Molecules, Bodies, Umwelt, Partitur, Dephasing, plus Doc, a read-only list of source files.

Read. Reduce. Argue

  1. Counts read from the app and its files on 2 November 2026. They change every night. Raw sources are the converted files in the vault; wiki pages include the card files.
  2. The app counts 25 molecules, 17 bodies and 9 Umwelten, because it includes 6, 4 and 2 distilled ones. This page gives the main chain, as Planes does here.
  3. All screens on this page are re-creations in HTML of the app as it stood on 2 November 2026. Layouts, labels and figures come from the running app. Italian content is translated for this page. Portraits and the artwork thumbnail are replaced by placeholders. Some book titles appear in their English form.
  4. The weights of 62, 20 and 18 are design choices meant to make results readable, and they are not estimates. Summaries are Apple Intelligence output and vary in quality.
  5. This demo runs the app's stated rules on an invented pool of genes in the browser. In the app the genes are real atoms, molecules or bodies, and at the upper levels the small pool often produces stasis.
  6. The map shown is rebuilt for this page: 2,400 sampled atoms, projected from their cards and genres by SVD and t-SNE. The app computes its own maps from full data, wiki entries included. Figures around the map are the app's.
  7. Theme names and figures come from the app. The positions on this map are drawn for this page.
  8. Share of structure is an eigenvalue over total variance, from the app's run of 2 November 2026.

HyperZettel is a personal project by Marco Formento. Apple Intelligence, macOS and Swift are trademarks of Apple Inc. Claude is a product of Anthropic.