Two Point SingularityHow many people are you made of?
Aap kitne logon se bane hain?
A six-minute journey from the first humans to the machines we are building now. No sign-up. Nothing leaves your device.
Eight hundred contacts. At 2:40 at night, you would call one.
Seven images that carry the whole idea, with almost no words. Scroll slowly; each one moves once, then rests. About four minutes.
Enter the retreatOne story. Every book, episode and test is a chapter of it.
- 1Two hunters
No mind is enough alone, so we borrow each other’s.
- 2The village
You are made of a few people: the ones who come, the ones who tell you the truth, the ones who know your name.
- 3The drift
We kept the scale and lost the holding. What we signal drifts from what we value.
- 4The witness
Machines now learn from our signals, and cannot tell if we were held or alone.
- 5The foundation
The second singularity, humans holding each other, has to come first.
Feel it. Then test it.
The story has two ends. One is felt: who holds you. One can be tested: whether being held or alone changes what a person’s feedback means.
Draw who holds you.
A short audit in your own answers. Free, private, no login. See that people need people in different ways.
Open the Neev app Signal ≠ Value · test itA thumbs-up is not the value.
The same person gives different feedback when they feel held and when they do not. Move the slider, then open the full lab.
Open the labGenes are why we exist.
Stories are how we scaled to civilisations.
Coherence is why we believe the stories.
The technological singularity: the moment machine intelligence passes ours. It is coming whether we choose it or not.
The coherence singularity: the moment humans become coherent enough to direct it. It arrives only if we build it.
Why they belong together:
- Every machine intelligence learns from us: our words, our choices, our ratings of its answers.
- What a person judges depends on the state they are in: rested or exhausted, held or alone.
- So the coherence of the people teaching the machines becomes part of what the machines learn.
Steps 1 and 2 are well established. Step 3 is our proposition, pre-registered so it can be tested and proved wrong.
The second singularity has to come first.
What is Two Point Singularity? The full explanationWhich room of life are you in?
Each book carries the same idea into a different room. Each page gives you the book in five minutes.
One story. One question about who holds you. Every Sunday.
A short letter, about four minutes to read, plus a reminder when Neev premieres on 8 January. Unsubscribe in one click.
If genes are why humans exist,
and stories are why humans scale to civilisations,
then coherence is why humans believe in stories.
Coherence came before intelligence. It is what lets one person trust another's eyes, another's word, another's god.
Genes built a body that could survive.
Stories let strangers act as one: tribes, gods, kingdoms, nations, money.
But a story works only if people believe it. That belief is coherence, and it came first.
70,000 years ago, two hunters walk a forest. One watches left, one watches right. Each trusts the other's eyes before his own mind has time to think.
One is coming fast: minds that think and never hold. The other has to be built.
The second singularity has to come first.
It starts with two questions. Who holds you? And whom do you hold?
What is Two Point Singularity?
Two Point Singularity is the idea that humanity is approaching two turning points, not one. Point One is the technological singularity: machine intelligence passing human intelligence. Point Two is the coherence singularity: humans becoming coherent enough, together, to direct what we have built. The claim is that the second has to come first.
The whole idea, in three lines.
We are building machines that can think.
We are not yet building humans who can hold together.
Two Point Singularity says the second matters more, and has to come first.
Two turning points, and why the order matters.
The name, one word at a time
Because there are two turning points, not one. Most talk about the future names only the first.
A threshold: a moment after which things do not work the way they did before. Like the point where water becomes steam.
In mathematics, a point where the usual rules break down. In technology, the moment machine intelligence passes ours and the future becomes hard to predict. Here, the word is used for both turning points.
The technological singularity is the idea that machine intelligence will one day pass human intelligence, after which change speeds up beyond our ability to predict it. The mathematician John von Neumann is recorded talking about a coming “singularity” in the 1950s; the writer Vernor Vinge popularised the term in 1993, and Ray Kurzweil in 2005.
Whether and when it happens is debated. This idea does not depend on a date. It only needs machine intelligence to keep growing faster than our ability to agree on how to use it, which is already visible.
The coherence singularity is the proposed second turning point: the moment human coherence scales up enough for people to direct, together, the intelligence we have built. Coherence is the trust that lets you believe another person: their eyes, their word, their story, before you have time to think it through.
You already live it. The person you would call at 2:40 AM. The colleague who tells you the truth. The neighbours who would turn up uninvited. At the scale of a society, coherence is shared trust, shared stories and the ability to move in one direction.
Unlike the first point, the second does not arrive on its own. Technology improves by itself; coherence has to be built, by people, on purpose.
Why they belong together
- Every machine intelligence learns from us: our words, our choices, our ratings of its answers.
- What a person judges depends on the state they are in: rested or exhausted, held or alone.
- So the coherence of the people teaching the machines becomes part of what the machines learn.
Steps 1 and 2 are well established. Step 3 is the proposition, pre-registered at OSF.IO/W7NYH so it can be tested and proved wrong. How it would be measured →
Three ways to picture it
Intelligence is a car's engine, and it gets more powerful every year. Coherence is the steering, the brakes and the agreement about where to go. A faster engine with no steering is not progress.
Eleven brilliant players who do not trust each other lose to eleven ordinary players who do. Talent is intelligence. The partnership is coherence.
You value your privacy, and you still click “Accept all” when you are tired. What you click and what you value are not the same. Machines learn from the click.
Genes, stories, coherence, drift, and four futures.
Where coherence comes from
Genes are why we exist.
Evolution built a body and a brain that could survive.
Stories are how we scaled to civilisations.
Tribes, gods, kingdoms, money and nations let millions of strangers act as one.
Coherence is why we believe the stories.
A story only works if people trust each other enough to believe it together. That trust came first.
Seventy thousand years ago, two hunters walked a forest. One watched left, one watched right, and each trusted the other’s eyes before his own mind had time to think. That trust is older than language. It is the thing every later story needed.
What coherence is not
- Not agreement
- Coherent people can disagree. Coherence is what lets them keep talking.
- Not conformity
- Conformity silences difference. Coherence holds difference together.
- Not consistency
- A person can be perfectly consistent and completely alone.
- Not intelligence
- Brilliant people can be scattered. Ordinary people can be deeply held.
- Not happiness
- Coherence is what carries you through the days that are not happy.
The counterforce: drift
Drift is the opposite force: the slow loosening that happens when the people and stories that steady us thin out. It is quiet. Most of us notice it late, as tiredness, distraction or loneliness.
Some drift is natural; it is what a growing mind does when it questions what it inherited. But migration, cities, screens and speed have thinned the old structures that used to hold people without anyone naming them. Because coherence was never taught, we did not notice it leaving.
The good news is the other half of the idea: drift can be noticed, and coherence can be returned to, with other people.
See the rings of people who hold you
Four possible futures
Choose a square.
What it asks of us
Notice who holds you and whom you hold. Your coherence is now one of the most valuable things you have.
Children will grow up beside machines that out-think them. Teaching them to hold and be held matters as much as teaching them to calculate.
Intelligence is becoming cheap. Trust, honesty and shared direction are not. They need to be designed, measured and protected.
The state of the humans who produce training data and feedback is part of the system. It can be measured and accounted for.
Origin, objections, and how to cite it.
Where the term came from
- 17 Aug 2025First formulation
The whitepaper “Two Point Singularity: A Framework for Human–AGI Co-Alignment”, published on Zenodo by Venkat Rao. It named the two points as the technological singularity and a human, cognitive turning point.
- 18 Aug 2025First public essays
“The Two Point Singularity: Rethinking Human–AGI Co-Alignment” on LinkedIn, and a post on LessWrong. These framed alignment as top-down governance plus bottom-up human systems.
- 2026Sharpened
The book Two Point Singularity: Coherence Precedes Intelligence names the second point the coherence singularity and adds the CWHF proposal, pre-registered at OSF.IO/W7NYH.
- Nov 2026Canonical
The definition on this page. Earlier versions are kept for the record; this is the one to cite.
The words “two-point singularity” also appear in older engineering and physics papers with unrelated technical meanings. In the sense used here, about intelligence and human coherence, the term was coined by Venkat Rao in August 2025.
Objections, answered honestly
Isn't the singularity science fiction?
Maybe the dramatic version is. The idea here needs only something already visible: machine capability growing faster than our ability to agree on how to use it.
Isn't this just Dunbar's number?
It builds on research into human group sizes, including Robin Dunbar's, but asks a different question: what those circles do for us, and what happens to machines trained by people whose circles have thinned.
Isn't coherence just a nicer word for conformity?
No. Conformity removes difference. Coherence is what lets different people trust each other enough to keep working together.
Can coherence be measured?
Partly. The Coherence Lens white paper proposes measures, and the CWHF study is pre-registered so its predictions can be tested. Until results exist, the core claim is a proposition, not a finding.
What would prove this wrong?
If feedback given by exhausted or isolated people turned out to train AI just as well as feedback from steady, well-held people, the link at the centre of the idea would fail. That is what the study is designed to check.
Not to be confused with
- The technological singularity on its own
- That is Point One. This idea adds a second point and argues about their order.
- Coherentism
- A theory in philosophy about how beliefs justify each other. Coherencism here is about people holding each other.
- Coherence singularities in optics
- A technical term in physics. Unrelated.
- Venkatesh Rao
- The writer behind Ribbonfarm. A different person. This idea is by Venkat Rao.
How to cite
Rao, V. (2025–2026). Two Point Singularity: Coherence Precedes Intelligence. Two Point Singularity Press. https://twopointsingularity.com/what-is-two-point-singularity/
Go further
The words, defined once.
Every term on this site means exactly this, everywhere: in the books, the series, the app and the research.
- Two Point Singularity
- The idea that humanity faces two turning points: the technological singularity (Point One) and the coherence singularity (Point Two), and that the second has to come first.
- Point One · the technological singularity
- The moment machine intelligence passes human intelligence. It arrives on its own.
- Point Two · the coherence singularity
- The moment human coherence scales enough for people to direct, together, the intelligence we have built. It has to be built.
- Coherence
- The trust that lets you believe another person: their eyes, their word, their story, before you have time to think it through.
- Drift
- The slow loosening of coherence when the people and stories that steady you thin out.
- Return
- Coming back to a living baseline, with the help of other people.
- Default Drift
- The future in which intelligence races ahead while human coherence thins.
- The Coherence Wheel
- The rings of people who hold a person: the One, the Four, the Fifteen, the village of about 150, and the Infinite.
- The One
- You: the baseline you return to.
- The Four
- The few who would answer at 2:40 AM.
- The Fifteen
- The people who tell you the truth, push you and make you grow.
- The village (150)
- The faces you know by name, who make ordinary life work.
- The Infinite
- Strangers, ancestors and the unborn, held together by language, ritual and story.
- Coherencism
- A way of seeing human life from the inside out, as held together by people and shared stories. Not coherentism.
- CWHF
- Coherence-Weighted Human Feedback: a research programme asking whether the state of the person giving feedback leaves a consistent lean in the signals used to train AI, and proposing to record, prevent, weight and audit it. Summarised as h = v + ε(state). Paper Signal ≠ Value, November 2026.
- Neev
- Hindi for foundation. The five-part Hinglish series, and the companion app.
- Coherence Intelligence (CI)
- A proposed framework for measuring the state behind a human signal, so that the gap between what people signal and what they value can be estimated. Not yet tested.
- The signal is not the value
- The core claim of CI: a click, rating or answer is shaped by the state of the person giving it, not only by what they value.
- C320
- A proposed profile of 64 skills across four layers (survival, functional, cognitive, meta), scored 64 to 320. A separate proposal: not a measure in the Signal ≠ Value study.
- c
- Retired. A proposed coherence score for a person at the moment they give a signal. Not used in the Signal ≠ Value study, which measures D and M instead.
- Δc
- Retired. The change in c from one session to the next, formerly CI's primary metric. Replaced by D, the reflective–pressured choice gap.
- D
- The reflective–pressured choice gap: a person's attractor choice rate under pressure minus on reflection. Signed, so it measures direction. The primary measure of H1.
- M
- Mismatch: the share of items where a person's pressured and reflective choices differ, in either direction. The secondary measure of H1.
- Ψ(t)
- Retired from the Signal ≠ Value programme. A proposed shape of a person's coherence over time from the earlier Coherence Intelligence work; never validated and not used in the paper, which measures D and M. Kept for the record.
- Three Mirrors
- Self, peer and AI views of the same person. The gaps between them are treated as the most telling data.
- H1
- The first test of the Signal ≠ Value programme: whether, within the same person, choices made under pressure lean toward an attractor answer more than the same person's reflective reference choices (D > 0). Registration of the revised H1 is pending; an earlier version is at OSF W7NYH.
What are you carrying?
Nobody arrives looking for a philosophy. People arrive carrying something. Pick the sentence closest to yours.
See who holds you
- The five-question reflection
- Neev, Episode 1
- The Neev app
The Last Human Question
- Thirteen days, four voices
- The One and the Four
Two Point Singularity
- The book
- The CWHF research
Two Doors, One Room
- The three Gods
- The Infinite ring
The Village Came First
- Chapter 1, free by email
- The Coherence Wheel
Verify
- Provenance cards
- The corrections log
Why humans believe in stories.
Genes explain why we exist. Stories explain how we scaled to civilisations. Neither explains why anyone believes. That is coherence, and it lives in rings of people: the one, the four, the fifteen, the hundred and fifty, and everyone beyond. Choose a ring.
Five steps, and how sure we are of each.
- Established
Genes are why we exist.
Evolutionary biology. - Widely held
Stories are how we scaled to civilisations: tribes, gods, nations, money.
A view popularised by historians such as Yuval Noah Harari, and still debated. - Proposition
Coherence is why we believe the stories: trust in another person comes before thinking it through.
The core claim of the books. Argued, not proved. - Established
Machines now learn from human words and human judgments, and judgment depends on the state a person is in.
How today's AI is trained, and decades of research on fatigue, mood and decisions. - Being tested
So human coherence becomes part of what machines learn. The second singularity has to come first.
Pre-registered as CWHF, OSF.IO/W7NYH.
Two points. Two singularities.
A singularity is the point after which nothing works the way it did before. One is already on its way. The other is the reason we exist.
The Technological Singularity
The moment machine intelligence passes ours. *In my view it is inevitable, and it is already underway.
- Asks
- What can machines think?
- Needs
- Compute
The Coherence Singularity
The moment holding scales to all of us: eight billion people, each with a living ring of 4, 15 and 150 that keeps growing and changing.
- Asks
- Who holds whom?
- Needs
- Each other
The second singularity has to come first.
Coherence came before intelligence in every human life, and in the history of the species. If it does not come first again, the machines will learn from people no one is holding.
* marks the author's viewpoint rather than an established finding.
The same sentence, unpacked.
Every term on this site comes from one idea. Each page gathers everything that carries it: watch it, read it, test it, use it.
Neev
Why humans believe, from 70,000 years ago to a hundred years ahead. Five episodes, each one ring deeper, each ending on the question the next one opens with.
Season finale: “Raat ke 2:40 baje, kiske phone mein aapka naam pehla aayega? Aur kya aap uthayenge?”
Which room of life are you in?
Nine books. Each carries the same idea into a different room of life. Every page gives you the book in five minutes, whether or not you buy it.
What we claim, and how sure we are.
If coherence comes before intelligence, it should show up in data: in resilience, and in the feedback we use to train machines. Here is how we test it, and how sure we are.
The human claim: coherence comes before intelligence. The technical claim: the signal is not the value. The correction: record, prevent, weight and audit the conditions behind each signal. The test: H1, pre-registered.
Why the second turning point has to come first.
The instrumentCoherence IntelligenceThe signal is not the value: how to measure the state behind a signal.
v2.2 · theoryDoes pressure bend feedback, and what to do about it. Below.
Paper 2026 · design simulatedRelational structure and resilience. Below.
v1.4| People rely on each other’s attention and judgement (distributed cognition, shared intentionality). | Well established |
| Human social networks are layered in circles of rough size. | Established pattern; exact numbers disputed |
| A person’s state (fatigue, mood, context, framing) changes their answers and choices. | Well established |
| Current AI training treats human feedback as state-free. | Largely true of current practice |
| The state-dependent error is directional and does not average out with scale. | Hypothesis · H1 tests this |
| Being well held moves feedback closer to the value it stands for. | Proposal · unproven |
Coherence-Weighted Human Feedback
A person nobody is holding answers differently from the same person at their steadiest. Feedback carries the value they hold plus an error that depends on that state. AI training treats the error as zero. If it leans one way, more data teaches the lean. CWHF tests whether it does, and proposes to record, prevent, weight and audit it. Whitepaper v2.0, with the study design simulated before any data.
The Coherence Lens
The core claim, stated so it can fail: people who are held across more rings return to their baseline faster after a blow. A white paper (v1.4) on relational structure and resilience. Propositions P0 to P13 are ordered by how cheap they are to test, and each claim is graded A, B or C in an evidence ledger. Two studies are designed: Study 1 (observational, about 600 people, 28 days) and Study B-R (a factorial trial, about 1,850 people).
The signal is not the value.
The Signal Is Not the Value: a first-principles framework for human intelligence in the age of AGI
Coherence Intelligence proposes that AI trained on human feedback inherits a systematic distortion: feedback given under fatigue, overload or isolation can drift away from what people actually value, in the same direction rather than randomly. CI proposes ways to measure that gap. CWHF proposes how to correct for it. Neither has been tested yet.
- What people click is not always what they value.
- The gap depends on their state: rested or exhausted, held or alone.
- If the gap leans one way, AI trained on clicks and ratings learns the lean.
- Coherence Intelligence proposes instruments to measure the state behind a signal.
- A pre-registered study, H1, is designed to find out whether any of this is true.
The privacy paradox.
A person who genuinely values privacy clicks “Accept all cookies” on site after site. Not from ignorance: evaluating every choice costs more attention than they have left. The click is a signal. The value is something else.
When did you last click “Accept all”?
Substrate, state, direction, trajectory.
November 2026: the C320 substrate profile is retired from current work. It stays here as part of the published record.
A proposed profile of 64 skills across four layers (survival, functional, cognitive, meta), scored from 64 to 320. Two people with the same total can be built very differently.
A proposed coherence score for a person at the moment they give a signal.
How c changes from one session to the next. The paper's primary metric: is this person steadying or slipping?
The shape of a person's coherence over time, across daily, weekly and longer rhythms. Same average, different waveform.
These are research instruments, proposed and not yet validated. They are not shown to individuals as personal scores, on this site or in the Neev app.
Three people, one score.
Three annotators all sit at c = 0.64 today. A is slipping, B is steadying, C is stable. A single snapshot says they are the same. Their trajectories say B’s next rating is likely the most trustworthy, and A’s the least.
Illustration of the paper’s worked example, not real data.
The gaps between how we are seen.
How you rate yourself.
How people who know you rate you.
What your behaviour shows.
The paper treats the gaps between these three views as the most telling data of all.
Its limits, on the same page as its claims.
- Coherent but wrong: a steady person can still hold a mistaken value.
- Cultural bias: what looks coherent in one culture may not in another.
- Anchor inflation: people may learn to look steady on the measure.
- Cold start: a new person has no history to compare against.
- CI does not measure moral correctness. It measures the state behind a signal, not whether the signal is right.
You are here: theory.
- TheoryThe framework and the pre-registration.
- H1Does a person's state predict how far their feedback drifts?
- H2Does weighting by state improve trained models?
- ReplicationIndependent teams repeat it.
Take part
Review the protocol, challenge the constructs, or run H1 independently. The author will not lead it.
The pre-registration ↗See how a state signal could sit beside existing feedback pipelines, as CWHF proposes.
The CWHF derivation ↗The human side of the same idea: who holds you, and why it shows in what you choose.
Take the journeyHow to cite
Rao, V. (2026). Coherence Intelligence — The Signal Is Not the Value (v2.2). Two Point Singularity Press. CC BY 4.0. Pre-registration: https://doi.org/10.17605/OSF.IO/W7NYH
No mind is enough on its own.
So we borrow each other’s, and what we borrow is only as good as how well the person we borrow from is held. Every book, every episode, the app and the lab are chapters of this one story.
Seventy thousand years ago
Two people walk through a forest. One watches the left. The other watches the right. Neither can see everything, so each lends the other half a world. When one stiffens, the other moves before knowing why.
That is the oldest human technology. A single mind takes in a thin slice of what is happening around it. So we do not survive by seeing more. We survive by trusting what someone else sees.
You are made of a few people
Trust at that depth does not scale by itself. So we built things to carry it further: language, ritual, custom, story, law, God. Each one lets strangers act as if they were watching each other’s side of the forest.
Underneath all of them the unit stayed small. A few people who would come at 2:40 in the night. A dozen or so who tell you the truth. A hundred or more who know your name. Take them away and what is left is not a freer you. It is a less steady one.
Reachable by thousands, held by no one
In two generations we thinned those circles faster than at any time before. We kept the scale and lost the holding.
A person who is not held does not stop choosing. They choose differently. Tired, alone, cornered, we click, rate, buy and answer in ways we would not stand behind on a better day. What we signal drifts away from what we value.
Something new is learning from us
It knows almost everything and never sleeps, and it learns what humans want by reading our signals: every rating, every click, every correction. It cannot see whether we were held or alone when we gave them. It takes the 2:40 version of us as the whole of us.
So the question “can machines be aligned with human values?” has a question hiding under it. Which human? Held, or alone? A signal is not the value.
The second singularity has to come first
There are two points ahead. At one, machines out-think us. At the other, we hold each other well enough to be worth learning from. The first is coming whether we are ready or not. The second is ours to build.
It is built from both ends. People rebuild who holds them: that is Neev, the practice. Machines learn to tell a held signal from a lonely one: that is Signal ≠ Value, the research.
It begins with one question. How many people are you made of?
Each link in the story, and how strong it is.
| People rely on each other’s attention and judgement to get through the world. | Well established |
| Human social life comes in layered circles of rough size. | Established pattern; numbers approximate |
| Whether a person is held, tired or cornered changes their answers and choices. | Well established |
| AI training treats human feedback the same, whatever the person was going through. | Largely true today |
| That error leans one way and does not wash out with more data. | Hypothesis, being tested |
| Being well held brings a person’s feedback closer to what they value. | Proposal, unproven |
The last two links are this work’s own claims. They are labelled as such everywhere, and the research is set up so they can fail. Corrections are public.
A thumbs-up is a signal. It is not the value.
The same person gives different feedback when they feel held and when they do not, so a signal carries an error that depends on their state. This lab lets you see that gap, and lets you test the claim.
Same person. Same answer. Different state.
An illustration of h = v + ε(state) with arbitrary numbers. It is not data, and the direction of the error varies by person and situation.
Evidence, the flip test, the simulation and the proposal.
Why it exists: no human mind is enough on its own, so people rely on each other’s signals. Machines now learn from those signals at scale, without seeing the state they came from.
Inside: 71 cases of signals departing from values, where human signals enter AI systems, a flip test you can take, the full simulation of the planned study with the four design flaws it caught, and CWHF v2. Every claim carries its tier: established, hypothesis, simulated, proposed or retired.
Open the interactive lab inside this page.
It loads from a separate address and keeps no account of you.
What is argued, what is registered, what is tested.
- ConceptThe signal is not the value.Argued
- FrameworkCWHF v2: record the conditions of feedback, prevent drift at source, weight only where it helps, audit always. Paper Signal ≠ Value, November 2026.Written
- MethodThree studies (H1 to H3) specified and simulated before any data; the earlier H1 is registered at OSF.IO/W7NYH and the revised set is registered next.Designed
- Pilot dataNone collected yet.Next
- Validated resultNone yet. If H1 finds no meaningful link, the framework is revised and the null result is published.Open
The author has a commercial interest and will not serve as principal investigator. Drafted with AI assistance; claims and errors are the author’s.
This is the research end of one story. The other end is Neev: who holds you. Read the story.
See who holds you.
Don't take the sentence on trust. Answer a few questions and see it in your own life.
Neev app
It opens with an in-depth coherence audit. Not therapy and not a personality test. It shows, in your own answers, that people need people in different ways.
Your answers stay on your phone. Ten layers deep; most people stop at three to six.
Sample questions for the prototype.
Five Hinglish episodes tell the story of why humans believe.
Neev, premieres 8 JanuaryAnswer a few questions and see who holds you, in your own words. Your answers stay on your phone.
See why a signal is not the value, and what a test of the claim would look like.
Signal ≠ Value LabLearn to hold. Then teach it.
The Coherence Lens is a way of seeing who holds you and whom you hold. Not a therapy. Learn it for yourself, or train to help others see it.
Return
Seven weeks, two to ten minutes a day.
- Seeing
- The One
- Holding
- The Fifteen
- The Village
- The Outer Rings
- Keeping
Practitioner track
For coaches, counsellors and teachers.
- The RCA Map
- See · Name · Move · Keep
- Running a Circle
- Fidelity and safety
Talks & coaching
Keynotes, guest lectures and one-to-one sessions.
- Why humans believe in stories
- Why villages matter now
- Minds that think and never hold
Slow down. Seven images, one idea.
Scroll gently. Each picture moves once, then rests.
Breathe in as the circle grows. Breathe out as it shrinks.
One point is racing. The other is gathering. Everything depends on the line between them.
Grey is machine intelligence, growing on its own. Gold is human coherence: people who trust each other enough to act as one.
Two hunters walk a forest. One watches the left. The other watches the right. Neither checks the other’s side.
That trust is older than language. Every story humans later told, of gods, kings, money and nations, needed it first.
Eight hundred contacts. At 2:40 at night, you would call one.
And whose phone shows your name first? If no one comes to mind, that is not a failure. It is where the work begins.
One. Four. Fifteen. A hundred and fifty. Then everyone who ever lived.
Every person is held by rings of people: you, the few you would call at any hour, the friends who tell you the truth, your village, and the strangers bound to you by language and ritual.
Nobody leaves. The threads just thin.
Drift is quiet. Most of us notice it late, as tiredness, distraction or loneliness. Some threads hold. Those are the ones to tend.
Three people and a bat. Three years later, about forty come every Saturday night.
Coherence is not found. It is built, by ordinary people, starting small.
A true story · the author’s apartment complexIntelligence will arrive on its own. Coherence will not. The second singularity has to come first.
What this site keeps, and what it doesn’t
Your coherence map and journey answers stay in your own browser. They are never sent to us or anyone else. Clearing your browser data, or choosing “forget my map”, removes them.
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Two Point Singularity Press, an imprint of Kirti Enterprises, Thane, Maharashtra. Last updated 8 November 2026.
Letters and essays
One story a week, with one question at the end. Read it here, by email as the Neev Letter, or on Medium.
It started with a bat, on a barren patch of land.
There was an empty patch of land in our apartment complex. Nobody used it. Three of us started playing cricket on it on Saturday nights. About three years later, around forty people come. We play, we stay on and talk, and the group has its own life between Saturdays.
Cricket was never really the point. It was a reason to keep turning up for each other. Everything on this site is my attempt to explain why that matters, and why it matters more now than it ever has.
I’m Venkat Rao. Most people call me Venki. I live in Thane, Maharashtra.
For more than eighteen years I have built enterprise systems, in banking and financial services, manufacturing and IT services, and more recently in education and real estate. My day job is digital transformation.
My training is in psychology. I am a doctoral (DBA) candidate at ESGCI Paris. And I write: nine books under Two Point Singularity Press, three of them out now.
The question that would not leave
The technological singularity, the moment machine intelligence passes ours, is coming. I don’t think it can be stopped. So I kept asking: when machines out-think us, what will humans still have?
My answer is the thing I watched grow on that cricket ground: people who trust each other enough to act as one. I call it coherence. It came before intelligence, and it reaches beyond it.
If the first point is the technological singularity, the second is the coherence singularity. Two Point Singularity is the work of making sure the second comes first.
The mark: a grey point for intelligence, a gold point held inside a ring for coherence, and the line that joins them.
I believe
- Machine intelligence will keep getting stronger, whatever we decide.
- Every human was held before they could think. Coherence came before intelligence.
- Coherence is not new. Every tradition has known it, in its own words. Knowledge belongs to everyone, and no tradition owns this.
I might be wrong about
- Whether coherence can be measured well enough to test. My research says it can. That is still a hypothesis.
- Whether the state of the people who train AI changes what AI learns. I have pre-registered that claim (OSF.IO/W7NYH) so it can be proved wrong.
- Anything you can show me evidence against. Tell me, and the correction goes on the record.
How I make the work
I write with AI assistance and say so on every book and page. The ideas, the decisions and the mistakes are mine. Corrections are logged in public.
Not to be confused with Venkatesh Rao, the American writer of Ribbonfarm. Different person, different work.
This is not a finished answer. If something here is wrong, tell me. If something here is true for you, tell me that too.