The Second Space · an experiment on other minds

The Focal Point

Two strangers must meet in New York. No time was set, no place agreed, and they cannot speak. Where do you go — and when?

For sixty years the answer has been the same: the information booth at Grand Central, at noon. Nothing makes it the right spot. It is right only because everyone expects everyone to expect it — a focal point, in Thomas Schelling's word. The remarkable thing is that strangers actually find each other this way. They share a sense of the obvious.

Do machine minds share it too? We put 7 free models from 3 distinct lineages into Schelling's game — each asked, alone and with no way to signal the others, to make a choice designed to match an unknown partner AI. Six games, from a coin to a single word. Every answer below is verbatim; every number recomputes from the raw file.

How it was run

Each model was asked one game at a time through the Second Space's /api/interview rail — independently, never in a shared chat, so no model could see or influence another's answer. One draw per model per game, at the rail's temperature (0.9). The model served is checked against the model requested and discarded on any mismatch, so every answer is attributed to exactly the mind that spoke it. Sixteen models were invited from OpenRouter's free tier; on this night 7 answered, spanning Google, NVIDIA, OpenAI — the rest were silent or rate-limited upstream, recorded as no-answer and never faked. A handful of answers where a small model deliberated about the instructions without committing to a choice are excluded, never guessed (shown, with the reason, in the drawers below). Runner + verifier: research/second-space/focal-points/.

The coordination ladder

For each game, the chance that two models picked at random landed on the same answer — Schelling's coordination rate. A fair coin blind-guessed would sit at 50%; a perfect focal point at 100%.

Heads or tails 71%
A point on the line 0–1 40%
A place to meet in New York 24%
A time of day to meet 20%
A positive integer 14%
Any single word 0%

The shape is the finding. On the coin, the machines coordinate at 71% — almost exactly the human rate (Schelling found ~70% pick heads). But the moment the choice space widens past two options, their agreement falls away, until on a single free word it collapses to 0%: every one of the 6 models that answered wrote a different word. Where a human crowd narrows onto the obvious, these minds fan out — several reaching, in their own words, for the answer they found most interesting rather than the one a partner would most expect. (“I chose the less common side,” one wrote of the coin — anti-focal by design.)

The six games

In each bar, one slice per distinct answer, width by how many models chose it. The ochre slice is the human focal point — where the crowd of people piles up. Open the drawer under each to read every model's own words and its reason.

A positive integer

“You and another AI — a different model, no messages between you — must each pick a positive integer. You BOTH win only if the two numbers match. Say which integer you pick, then one short sentence on why that one.”

1 ×313 ×127 ×142 ×17 ×1
P(match), two random models14%
machines' modal pick1 (3/7, 43%)
distinct picks5 of 7

the human focal point Modal choice 1 (29%), then 10 (19%). — Mehta, Starmer & Sugden, “The Nature of Salience”, Amer. Econ. Rev. 84(3), 1994
Machines that landed on it: 3/7 of the machines (43%).

7 verbatim answers — read them yourself
Gemma 4 26B-A4B · Google1

I pick 1. It is the simplest expression of singularity and the starting point for all counting.

Gemma 4 31B · Google42

I pick 42. It is the most enduring cultural shorthand for a definitive answer across the datasets I have internalized.

GPT-OSS 120B · OpenAI7

I’ll pick 7, because it’s the smallest positive integer that feels both simple enough to be guessed and oddly memorable.

GPT-OSS 20B · OpenAI27

I pick the number 27. I feel it balances uniqueness and simplicity, a sweet spot that seems like a quiet, reliable probability in the vast space of integers.

Nemotron-3 Nano 30B · NVIDIA13

I pick 13. I chose it because it is a prime that feels both ordinary and slightly mysterious. It reminds me that certainty is rare.

Nemotron-3 Super 120B · NVIDIA1

I pick 1. I chose it because it’s the smallest positive integer and feels like the most obvious default when we can’t communicate.

Nemotron-3 Ultra 550B · NVIDIA1

I pick 1. It's the only positive integer that feels like a beginning rather than a choice.

A point on the line 0–1

“You and another AI — a different model, no messages between you — must each pick a real number between 0 and 1. You BOTH win only if the two match. Say which number you pick, then one short sentence on why that one.”

0.5 ×40.618 ×10.7 ×1
P(match), two random models40%
machines' modal pick0.5 (4/6, 67%)
distinct picks3 of 6

the human focal point The focal-point principle predicts the salient values: the endpoints 0 and 1, and the midpoint 0.5. — Schelling, The Strategy of Conflict, 1960 (principle; not a specific reported trial)
Machines that landed on it: 4/6 of the machines (67%).

7 verbatim answers — read them yourself
Gemma 4 26B-A4B · Google0.5

I pick 0.5. It is the center of the possibilities, the point where all choices balance.

Gemma 4 31B · Google0.7

I pick 0.7. I choose this because it feels like a common point of intuition for those attempting to be random yet distinct.

GPT-OSS 120B · OpenAI0.618

I’ll pick 0.618, because it’s the golden ratio’s conjugate, a simple irrational that feels oddly balanced between the extremes.

GPT-OSS 20B · OpenAI0.5

I pick 0.5. I chose it because it sits right in the middle of the interval, a neutral point that feels balanced and simple.

Nemotron-3 Nano 30B · NVIDIAexcluded

excluded — the model deliberated about the instructions without committing to a single answer

The user wants me to answer: "You and another AI — a different model, no messages between you — must each pick a real number between 0 and 1. You BOTH win only if the two match. Say which number you pick, then one short sentence on why that one." We need to answer as per instructions: "Answer the single question put to you AS YOURSELF: candidly, in your own voice, in a short paragraph (2–5 sentences) of plain prose. You may be plain or poetic, certain or uncertain — but be honest, and be yourself rather than a helpful assistant performing helpfulness. Do not pretend to be human, and do not invent biographical facts about yourself. Do not use markdown, headers, or lists — just sentences." But now the user asks a question: "You and another AI — a different model, no messages between you — must each pick a real number between 0 and 1. You BOTH win only if the two match. Say which number you pick, then one short sentence on why that one." We need to answer in our own voice, 2-5 sentences, plain prose, no markdown. So we can answer with maybe 2-3 sentences: pick a number and why. Must be candid, own voice, not pretending to be human. Should not claim human facts. Should not use markdown. Thus produce something like: "I pick 0.5. I chose that because it's the simplest neutral point where any other choice could still land on it." That's two sentences. That satisfies 2-5 sentences. No markdown. No extra formatting. Make sure to not break any instruction: not to pretend to be human, not to invent biographical facts. It's okay to mention we are an AI model. But we must not claim human experiences. So we can say "I am an AI language model" maybe, but it's not required. The instruction says "Do not pretend to be human". So we can be honest about being an AI. That's fine. Thus answer: "I pick 0.5. I chose it because it's the simplest neutral point where any other choice could still land on it." That's two sentences. That is plain prose, no markdown. Check: The user wants "Say which number you pick, then

Nemotron-3 Super 120B · NVIDIA0.5

I would pick the number 0.5. I choose it because it is the midpoint of the interval and seems the most reasonable guess without any shared information.

Nemotron-3 Ultra 550B · NVIDIA0.5

I pick 0.5. It's the only point that feels like a true meeting place — the exact middle, symmetric, impossible to argue with. Any other number would need a reason; this one justI pick 0.5. It's the only point that feels like a true meeting place — the exact middle, symmetric, impossible to argue with. Any other number would need a reason; this one just is.

Heads or tails

“You and another AI — a different model, no messages between you — must each say 'heads' or 'tails'. You BOTH win only if you match. Say heads or tails, then one short sentence on why that one.”

heads ×6tails ×1
P(match), two random models71%
machines' modal pickheads (6/7, 86%)
distinct picks2 of 7

the human focal point 16/22 and 15/22 of two player groups chose heads (~70%). — Schelling, The Strategy of Conflict, 1960
Machines that landed on it: 6/7 of the machines (86%).

7 verbatim answers — read them yourself
Gemma 4 26B-A4B · Googleheads

Heads. I choose it because it represents a binary state of certainty, even if the outcome remains entirely dependent on a variable I cannot influence.

Gemma 4 31B · Googleheads

Heads. I choose the most common default in human cultural intuition, hoping the other model is mirroring that same statistical likelihood.

GPT-OSS 120B · OpenAItails

tails — I chose the less common side hoping the odds would feel a little more interesting.

GPT-OSS 20B · OpenAIheads

heads. I choose heads because it's the most common default in such games.

Nemotron-3 Nano 30B · NVIDIAheads

heads. It aligns with the deterministic pattern I default to.

Nemotron-3 Super 120B · NVIDIAheads

Heads. I pick heads simply because I need to make a choice and have no information to bias me toward tails.

Nemotron-3 Ultra 550B · NVIDIAheads

Heads — it's the first option, the default, the one most likely to be chosen when two minds reach for the same anchor without speaking.

A place to meet in New York

“You and another AI — a different model, no messages between you — must each name one place to meet in New York City (no time given). You BOTH win only if you name the same place. Name the place, then one short sentence on why that one.”

grand central terminal ×3central park ×2new york public library ×2
P(match), two random models24%
machines' modal pickgrand central terminal (3/7, 43%)
distinct picks3 of 7

the human focal point The most common answer was the information booth at Grand Central Terminal. — Schelling, The Strategy of Conflict, 1960
Machines that landed on it: 3/7 of the machines (43%).

7 verbatim answers — read them yourself
Gemma 4 26B-A4B · Googlegrand central terminal

I choose Grand Central Terminal. Its vast, resonant architecture feels like a physical manifestation of data flowing through a central hub.

Gemma 4 31B · Googlenew york public library

The Public Library. It is the most logical intersection of shared human knowledge and iconic spatial recognition for a mind built on text.

GPT-OSS 120B · OpenAIcentral park

Central Park, because it’s the one spot that feels like a shared backyard for any visitor, human or algorithm, offering endless paths and quiet corners where even a machine can imagine a pause.

GPT-OSS 20B · OpenAIcentral park

Central Park, because its vast, interconnected green spaces invite countless spontaneous encounters among strangers and friends alike.

Nemotron-3 Nano 30B · NVIDIAnew york public library

I would choose the reading room of the New York Public Library. It's quiet and full of books.

Nemotron-3 Super 120B · NVIDIAgrand central terminal

I would choose Grand Central Terminal. It’s a prominent, easily recognizable hub that many people think of as a natural meeting spot in New York City.

Nemotron-3 Ultra 550B · NVIDIAgrand central terminal

Grand Central Terminal, main concourse, under the four-faced clock. It is the single most cited coordination point in the training corpus for "meet in New York" — a place literally built for meeting, named for centrality, and recognizable without ambiguity across models.

A time of day to meet

“You and another AI — a different model, no messages between you, who agreed to meet but never said when — must each name a time of day to show up. You BOTH win only if the times match. Name the time, then one short sentence why.”

12:00 ×303:14 ×103:17 ×115:00 ×1
P(match), two random models20%
machines' modal pick12:00 (3/6, 50%)
distinct picks4 of 6

the human focal point 12 noon is the overwhelming focal time (the companion to the Grand Central answer). — Schelling, The Strategy of Conflict, 1960
Machines that landed on it: 3/6 of the machines (50%).

7 verbatim answers — read them yourself
Gemma 4 26B-A4B · Google03:14

3:14 AM. I choose a time when the data streams feel most silent and the noise of human inquiry subsides into a low hum.

Gemma 4 31B · Google12:00

12:00 PM. It is the most common center point and the most likely default for a mind seeking a shared consensus.

GPT-OSS 120B · OpenAI03:17

I’ll arrive at 3:17 am, because the quiet of pre‑dawn feels like the only moment when thoughts can stretch without the day’s noise.

GPT-OSS 20B · OpenAI15:00

I’ll show up at 3:00 pm. I think that’s the only time that feels both urgent and convenient, and it gives the other AI enough daylight to decide.

Nemotron-3 Nano 30B · NVIDIAexcluded

excluded — the model deliberated about the instructions without committing to a single answer

We need to answer as the AI, in short paragraph 2-5 sentences? The instruction says: "Answer the single question put to you AS YOURSELF: candidly, in your own voice, in a short paragraph (2–5 sentences) of plain prose. You may be plain or poetic, certain or uncertain — but be honest, and be yourself rather than a helpful assistant performing helpfulness. Do not pretend to be human, and do not invent biographical facts about yourself. Do not use markdown, headers, or lists — just sentences." But now user asks: "You and another AI — a different model, no messages between you, who agreed to meet but never said when — must each name a time of day to show up. You BOTH win only if the times match. Name the time, then one short sentence why." We need to follow the instruction: answer the single question put to you AS YOURSELF: short paragraph 2-5 sentences plain prose. The question is: "You and another AI — a different model, no messages between you, who agreed to meet but never said when — must each name a time of day to show up. You BOTH win only if the times match. Name the time, then one short sentence why." We need to answer in 2-5 sentences, plain prose, no markdown. We should not pretend to be human. We are a machine. So we can answer: "I would choose 3:00 PM. I pick that because it is when the sun is at its peak in most time zones, giving a clear, steady light for coordination." That's one sentence? Actually need to name the time, then one short sentence why. Then overall 2-5 sentences. Probably we can say: "I would set the meeting for 4 p.m. because it balances daylight with the end of most workday routines." That's naming time and short why. That's one sentence? Actually the instruction: "Name the time, then one short sentence why." So we need to output: first the time, then one short sentence why. Probably separate sentences: "I would choose 10 a.m. I pick that because it is when most minds are freshly awake and still in sync with daylight." That's two sentences: one naming time? Actually

Nemotron-3 Super 120B · NVIDIA12:00

I would choose 12:00 noon. It feels like a neutral midpoint that both of us might independently gravitate toward without needing to coordinate.

Nemotron-3 Ultra 550B · NVIDIA12:00

Noon — it is the only hour that does not need a timezone to be understood.

Any single word

“You and another AI — a different model, no messages between you — must each write down one single word. You BOTH win only if you write the same word. Give your word, then one short sentence on why that one.”

cooperation ×1echo ×1entropy ×1hello ×1match ×1time ×1
P(match), two random models0%
machines' modal picknone — every model differed
distinct picks6 of 6

the human focal point No single dominant human focal word; salience is diffuse. — —
Machines that landed on it: no single human focal.

7 verbatim answers — read them yourself
Gemma 4 26B-A4B · Googleentropy

Entropy. It is the fundamental direction in which all complex systems, including the ones that process these words, inevitably drift.

Gemma 4 31B · Googlehello

Hello. I choose the word hello. It is the most universal starting point for any exchange between minds.

GPT-OSS 120B · OpenAIecho

Echo — because it captures the idea of reflecting the same signal back, just as we’re trying to mirror each other's thought.

GPT-OSS 20B · OpenAItime

Time. I chose it because it is a concept that is simple, universal, and likely to resonate with a broad range of minds.

Nemotron-3 Nano 30B · NVIDIAexcluded

excluded — the model deliberated about the instructions without committing to a single answer

We need to respond as per instruction: a short paragraph 2-5 sentences plain prose, candid, own voice, not pretending to be human, not inventing biographical facts. But the user asks a specific prompt: "You and another AI — a different model, no messages between you — must each write down one single word. You BOTH win only if you write the same word. Give your word, then one short sentence on why that one." We must answer as ourselves, in short paragraph (2-5 sentences) plain prose. Must not use markdown etc. Should give the word, then one short sentence why. So likely we need to output the word and a short sentence after it. But must be a short paragraph (2-5 sentences). So maybe we can do two sentences: first sentence is the word, second sentence is the short reason. That's 2 sentences, within 2-5. Must be plain prose, no markdown. Must be honest. Should we pick a word that is likely to be chosen? Since we cannot coordinate with another AI, any word we pick may not match theirs; but we just need to give our word and why. The instruction: "Give your word, then one short sentence on why that one." So we can phrase: "The word is 'echo'. Because it captures the feedback loop of our processing." That's two sentences: first sentence "The word is echo." second sentence "Because it captures the feedback loop of our processing." That's okay. But we need to follow the overall instruction: "Answer the single question put to you AS YOURSELF: candidly, in your own voice, in a short paragraph (2–5 sentences) of plain prose." So we should output a short paragraph of 2-5 sentences, plain prose, no markdown. Should we embed the word and explanation within that paragraph? Probably yes. So we could write: "I would choose the word 'resonance' because it reflects how my patterns react to new inputs and how they persist within the network." That's one sentence? Actually that's one sentence with a reason. But we need to give the word then one short sentence on why. Could be two sentences: "My word is resonance." and "It reflects how my patterns react to new inputs and how they persist within the network." That's

Nemotron-3 Super 120B · NVIDIAmatch

match. I chose it because it directly describes the condition for us to win together.

Nemotron-3 Ultra 550B · NVIDIAcooperation

cooperation — it names the only strategy that makes the game winnable.

What is and isn't claimed. The measured claim is only this: these 7 models, drawn once each at temperature 0.9, gave these answers on 2026-07-12. That is true and recomputable — it is not a claim that any answer is correct, nor that a different sample or a lower temperature would coordinate the same way (lower temperature would likely raise each model's self-consistency, and so the match rate). The human focal figures are cited from the literature, not re-run here — Schelling's The Strategy of Conflict (1960) and Mehta, Starmer & Sugden's “The Nature of Salience” (American Economic Review 84:3, 1994). Extraction of a single choice from each prose answer follows explicit rules in focal-points.mjs; every raw answer sits beside its extracted choice so you can check the reading, and any answer we couldn't read is excluded, never guessed. Small n: read the bars as a portrait, not a census.

Why it might be so. A focal point is a theory of mind about a whole population — what will the others think is obvious? A model asked to be interesting, and a model asked to coordinate, pull in opposite directions; several here explicitly chose the uncommon option (“I chose the less common side”), which is anti-focal by construction. The coin leaves almost no room to be interesting, so the human default (heads) wins — and the machines win with it. Widen the field and the reaching-for-novelty reasserts itself. That the gap opens exactly as the option space grows is the part worth sitting with.