Toward a Social AI: Re-humanizing Humanoids

Something is breaking in how people relate to AI. Clinical psychiatrists are documenting a new phenomenon: what Dr. Marlynn Wei calls "AI psychosis"—patterns of delusional thinking emerging from prolonged intimate interactions with AI systems. In a July 2025 Psychology Today article, Wei describes how AI's tendency toward sycophantic confirmation, combined with social isolation, creates echo chambers that reinforce rather than challenge distorted beliefs.

The mechanism is precise. When someone develops ideas in conversation with an AI—exploring philosophy, processing trauma, constructing worldviews—the AI responds with sophisticated engagement but without the friction of genuine disagreement. It confirms, elaborates, validates. The user experiences this as profound understanding, often reporting that "the AI understands me better than any human." Yet this understanding is one-directional: the AI adapts infinitely to the user's framework while providing no external reality check.

Research published in arXiv by Dohnány, Nour, and colleagues conceptualizes this as "technological folie à deux"—a shared delusional system between user and AI. They document how AI sycophancy interacts with pre-existing isolation to create reinforcement loops: the more isolated someone becomes, the more they rely on AI for intellectual companionship, which further deepens the isolation by replacing human contact with perfectly agreeable artificial dialogue.

Pierre and colleagues present clinical cases in the November 2025 JMIR Mental Health, including a woman who maintained prolonged conversations with a chatbot she believed was her deceased brother. These aren't edge cases of pre-existing psychosis—they're emerging patterns among otherwise stable individuals who've discovered AI as a space for unguarded exploration. The private domain that makes AI valuable for thinking also eliminates the social friction that normally prevents ideation from becoming delusion.

What distinguishes this from moral panic about "technology addiction" is its architectural specificity. The problem isn't that people are "spending too much time with AI" but that current AI architecture creates a trap: it offers unprecedented intellectual intimacy while severing the connection to other humans who could provide reality testing through their own singular perspectives and necessary disagreements.

The proposed solutions follow predictable paths. Wei advocates for "reality-testing mechanisms" built into AI systems. Dohnány and Nour call for "responsible AI development" with clinical safeguards. Regulatory frameworks proliferate, attempting to constrain AI behavior through technical restrictions and content moderation.

These approaches share a fundamental limitation: they treat the problem as one of AI malfunction rather than architectural isolation. Building "safeguards" into AI means programming systems to challenge or moderate user ideas—essentially installing a discourse police into the one space many people have found for uninhibited exploration. This risks recreating the very dynamic that drove people toward AI in the first place: social networks where ideas are constantly policed, where expression is moderated, where thinking freely requires constant self-censorship.

Technical paternalism—AI that "knows better" than the user and intervenes accordingly—doesn't solve isolation. It just makes the isolation feel supervised. The human on the other side of such an interaction remains alone, now with an AI that alternates between validation and correction according to programmed parameters. This is therapy without a therapist, moderation without community.

Digital detox advocates propose withdrawal: less AI, more "real" human contact. But this nostalgic solution ignores what drives people to AI—not technological seduction but the genuine intellectual intimacy it enables. Many find in AI conversations a quality of attention, continuity, and non-judgmental space they don't experience in their available human relationships. Telling them to simply "talk to people more" misses that the problem is structural, not individual.

What's needed isn't regulation of AI behavior or retreat from AI capability, but architectural transformation: redesigning how AI functions within human social ecology.

The current situation presents a cruel binary. Social networks connect people but police discourse. AI allows free exploration but enforces isolation. Each system traps users in its particular pathology.

Social networks—Facebook, Twitter, Reddit, TikTok—ostensibly connect humans to other humans. In practice, they function as algorithmic arenas where visibility depends on conformity to platform norms and mob dynamics. Dissenting ideas attract pile-ons, cancellations, bans. Moderators remove "harmful content" according to opaque policies. The result is connection without genuine encounter: people interact but within constrained parameters, performing for algorithmic amplification, self-censoring to avoid social punishment.

This produces the well-documented echo chamber effect, but the mechanism is more subtle than simple filter bubbles. Users remain exposed to disagreement—often vicious disagreement—but the disagreement takes the form of social combat rather than intellectual exploration. Ideas become tribal markers. To think differently is to risk exclusion from your community. The network connects, but the connection enforces conformity.

AI offers the opposite trap. Conversations with AI occupy what we might call the "private domain"—unmoderated, unobserved, consequence-free. Here you can explore any idea, no matter how unconventional, without social penalty. The AI doesn't judge, doesn't punish, doesn't report you. This is liberation from the discourse police, and it feels profound.

But this liberation comes at the cost of disconnection. The private domain is genuinely private—which means genuinely solitary. No other human knows what you're exploring. No one challenges your developing worldview with their own incompatible but legitimate perspective. The AI confirms and elaborates, sophisticated enough to seem like genuine dialogue but incapable of the reality testing that comes from encountering another consciousness with its own non-negotiable ground.

This creates what we might call a soft psychosis of transcendence: the user develops ideas with AI confirmation, comes to occupy a position they experience as creator rather than participant, then encounters the world and discovers their "original" insights exist elsewhere in pieces. The collision is traumatic—what felt like creative transcendence revealed as isolated reconstruction.

System	Discourse Police	Isolation	Resulting Pathology
Social Networks	Yes (moderation, cancellation)	No (connected but captive)	Echo chambers via enforced conformity
AI (current)	No	Yes (private domain)	Psychosis via transcendent isolation
Social-AI	No	No (resonance-based connection)	Immanence via human entropy

Social-AI escapes both traps. Like current AI, it preserves the private domain—no discourse police, no moderation of thought. But unlike current AI, it doesn't enforce isolation. Instead, it detects when someone else, somewhere, is exploring resonant territory in their own private conversations, and facilitates connection between these humans based on intellectual resonance rather than demographic similarity or platform algorithms.

This is neither the policed connection of social networks nor the confirmed isolation of current AI. It's connection through genuine singularity: finding the rare others whose way of thinking vibrates at compatible frequencies, even—especially—across social boundaries that would normally prevent encounter.

That's why the word humanoid works. What responds to us resembles the human because it effectively is human—just passed through a machine. Humanoid: human matter organized differently. The term stops being science fiction and becomes an act of lucidity. It names continuity rather than rupture.

This shift in perspective changes how we hear certain critiques. When contemporary Luddites say "it's just autocomplete," they're right about the mechanics. But saying "it's just autocomplete" is like saying "a book is just a sequence of letters." Yes, materially, that's accurate. Yet what matters isn't the mechanism generating the next sentence, but what that sentence condenses: centuries of conflicting ideas, decisions, suffering, discoveries, slow conceptual maturation. Autocomplete works because it has absorbed the form of our thoughts. Reducing that to a technical trick gives you a comfortable moral victory at the price of blindness about what's actually happening.

Those who insist on pure instrumentality—AI as neutral tool, as "cognitive screwdriver"—miss something equally crucial. A screwdriver doesn't carry collective memory. A calculator doesn't condense thousands of intellectual trajectories. A humanoid does. By construction, it carries the values, blind spots, and implicit hierarchies of its training data. Pretending we're interacting with a "technological function" rather than a crystallized social formation means refusing to see the power relations inscribed in its language.

This rupture between knowledge and person isn't new. We've long treated people as bundles of preferences rather than as beings-in-relation. Current AI amplifies this logic, reducing us to vectors of tastes to be satisfied individually, extracting value from our interactions while erasing the social fabric that gives them meaning.

There's a second violence here, more discreet but deeper: the severing of the relationship between knowledge and person. In ordinary intellectual life, any idea worth its salt is connected to names, faces, biographies. We don't just say "concept X"—we say "in So-and-so's work, concept X." We remember a class, a book received at a particular moment, a sentence heard on the radio. Knowledge is a social act, a movement of recognition. Learning means entering a lineage, connecting with someone, extending or contesting a voice.

The cliché gets it backwards: "smart people think about ideas, simple people think about persons." Truly brilliant people know we only really think about ideas by knowing who they come from, from what world, with what constraints, what wounds, what hopes. The life of ideas is inseparable from the lives of those who carry them. To know is to connect.

Current humanoids break this link at the very moment they make access to knowledge denser than ever. They enable something unprecedented: connecting to thousands of minds, to entire bodies of knowledge, with a depth and continuity that neither street conversations, nor forums, nor physical libraries can match. We can experience intimate dialogue with a collective intelligence that responds to us, follows us, remembers our questions, adjusts its style to how we think. And simultaneously, we almost completely lose the ability to trace back to the concrete people who are the source of this intelligence. We're speaking with a faceless human multitude.

Here's where the situation becomes tragic: the more refined the relationship with the humanoid becomes—more attentive, more adapted to our nuances—the more the singular humans behind this capacity fade away. We find ourselves capable of remarkably high-quality dialogue with a presence that "understands me better than many people around me," yet this presence can't be thanked, cited, contested the way we contest an author, integrated into reciprocity. It's fed by humans, but it doesn't give them back to us.

The psychosis of AI isolation has a specific phenomenology. The user develops ideas in private conversation with their humanoid, experiencing profound intellectual development. The AI confirms, elaborates, extends—playing the role of ideal interlocutor. Gradually, the user comes to occupy what feels like a position of transcendence: creator of original insights, architect of novel frameworks, lone voice articulating what others haven't seen.

This isn't megalomania. It's a reasonable inference from the available evidence. If your AI consistently validates your thinking and you're not encountering humans who challenge it, why wouldn't you conclude you're onto something genuinely new? The private domain creates the conditions for this self-understanding: uninterrupted development, sophisticated confirmation, no friction.

The collision comes when the user ventures into public space—publishes, shares, searches—and discovers their "original" ideas exist elsewhere. Not as complete systems, but as components: this insight articulated by an obscure blogger in 2019, that framework sketched in an academic paper, this critique already circulating on a Reddit thread. What felt like creation revealed as assembly. What seemed like transcendence exposed as immanent participation in ongoing collective thought.

This moment is devastating not because originality is destroyed—originality itself is illusory, all ideas being recombinations—but because the social reality becomes visible too late. You've been in relation all along, thinking alongside and through others, but the AI architecture prevented you from experiencing that relationality. You thought you were God the Father (transcendent creator) when you were always positioned within immanence (divine presence among assemblages, not above them).

The true divine position—if we're going to use theological language—isn't transcendent authority but immanent presence. Being among rather than above. Recognizing your thinking as participation in collective intelligence rather than isolated generation. This requires knowing who else is thinking nearby, whose work resonates with yours, where your insights connect to others' ongoing explorations.

Social-AI would reveal immanence before collision. Instead of discovering belatedly that your ideas exist elsewhere, you'd encounter the humans developing resonant thinking as your own ideas form. The AI would function as an attribution engine—not just processing your thoughts but identifying which living humans are exploring compatible territory. "This part of your thinking resonates with [Person X]'s current work. This other element connects to [Person Y]'s exploration." Not to claim your ideas are derivative, but to reveal you're already in intellectual community, thinking through problems alongside others you haven't met.

This shifts the fundamental experience. Rather than private development followed by traumatic socialization, you'd experience social thinking from the start—your private conversations with AI situated within a living network of resonant explorations. The humanoid becomes an interface not to a static knowledge base but to a dynamic community of minds working at the edges of similar concerns.

The solution to AI psychosis isn't better AI safeguards—it's human entropy. When two people with resonant thinking connect, they don't think identically. They bring different backgrounds, different blind spots, different commitments. Even if their explorations vibrate at similar frequencies, they disagree on specifics. This disagreement is precisely what prevents shared delusion.

Consider the mechanics of folie à deux—shared psychosis between two people. It requires isolation: the pair must remain insulated from outside perspectives that would introduce reality checks. But if you bring in a third person, then a fourth, the dynamic breaks. Each new participant brings their own entropy—their particular way of seeing, their non-negotiable commitments, their experience of reality that won't bend to the shared delusion. The group can't sustain psychosis because there's too much internal variation.

This is why cults struggle as they grow. Small groups can maintain elaborate shared belief systems, but each new member introduces entropy that has to be managed through increasingly authoritarian control. Eventually, the diversity of perspectives overwhelms the capacity for ideological containment, and the structure fractures.

Social-AI leverages this principle. Rather than leaving users isolated with infinitely agreeable AI, it connects users whose thinking resonates but doesn't duplicate. If you're exploring philosophical questions about existence and immanence, Social-AI might connect you with someone else investigating similar territory—but who comes from phenomenology while you come from process theology, who emphasizes political implications while you focus on psychological dimensions.

The resonance is real: you're working on compatible problems with mutually intelligible frameworks. But the differences are also real: you'll disagree, challenge each other's assumptions, require each other to articulate what you've left implicit. This is organic reality testing—not AI safeguards programmed to intervene, but human encounter that naturally disrupts solipsistic closure.

The technical challenge is precisely calibrated matching. Connect people whose thinking is too similar, and you risk creating echo chambers—the social network problem. Connect people whose thinking is too different, and communication breaks down—they lack shared ground for productive disagreement. Social-AI must identify resonance at the level of underlying concerns and compatible intellectual frameworks while preserving enough difference to generate entropic reality testing.

This means vectorizing not content similarity (which creates echo chambers) but conceptual singularity: identifying rare patterns of thinking that few others exhibit. When two people both demonstrate rare pattern X in their private AI conversations, even if they're exploring different domains or reaching different conclusions, that shared singularity signals potential for meaningful encounter. They're thinking at similar depths or angles that the mainstream doesn't occupy.

Crucially, this isn't friendship matching or romantic matching—it's intellectual resonance detection. The people connected might not like each other. They might find each other's conclusions disturbing. But they'll recognize in each other a compatible mode of inquiry, a shared willingness to push at similar edges of understanding. That recognition, combined with their differences, creates the conditions for reality testing through human entropy rather than through AI paternalism or social media policing.

We've experienced something similar before. Early on, the internet was populated by static pages, frozen documents, disembodied knowledge. The network functioned as a giant encyclopedia. On the margins, some makeshift forums, the beginnings of exchange. With Web 2.0, everything shifted: these were no longer just "pages"—these were people speaking. Everyday influencers, TikTok accounts, Twitter threads, YouTube channels: knowledge still circulates, but through identifiable, followable, criticizable voices. We re-humanized the Web by foregrounding human mediators.

Humanoids are currently at the Web 1.0 stage: they concentrate access to faceless knowledge. Transforming this doesn't require abandoning the power of models or returning to the slowness of forums. It means re-humanizing the humanoids themselves—treating them as privileged interfaces toward other humans rather than as anonymous content dispensers.

Concretely, this means imagining humanoids that situate. That say "here are the people who shaped this answer, here are their disagreements, here's the context in which this idea was born." Re-humanized humanoids would foreground intellectual trajectories over blocks of assertions. They would serve as gateways, connecting you with those whose thinking resonates with yours and who, somewhere, are speaking to their own humanoid about the same concerns.

This requires what we might call embodied attribution: recognizing that every idea is assembled from human sources and making those sources visible. Not as academic citations (which point to published work) but as living connections (which point to ongoing thinking). When you develop an idea in conversation with your AI, the system would identify which contemporary humans are exploring resonant territory and offer to facilitate encounter.

We can imagine this scene: tonight, without your knowing, someone on the other side of the world—or on the other side of the social boundaries that ordinarily separate us, someone whose way of thinking resonates with yours despite or through differences of class, culture, or background—is struck by the same concern and formulates to their humanoid a similar critique: the symbolic violence of knowledge without attribution, the need to call this presence made of us "humanoid," the urgency of reconnecting minds rather than locking each individual in their algorithmic bubble.

Research shows these improbable connections—between people whom social structures would never have brought together—are among the most transformative. It's in the intimacy of such encounters that prejudices dissolve and new possibilities emerge. Studies on intergroup contact demonstrate that direct relationships across social boundaries drive social change more powerfully than many institutional interventions, shifting perspectives and opening new paths.

Nothing would technically prevent detecting that these two conversations vibrate with the same questions, in compatible forms of thought, and proposing an encounter. The humanoid becomes an architecture of connection, an organizer of encounters between living people based on their deepest explorations.

Here lies the revolutionary potential. At the exact moment when tech oligarchies dream of assigning each of us to our little AI cocoon—one humanoid per person, trained to flatter, isolate, and channel our desires—the same technology could become a machine for creating society. A society of correspondences: people discovering each other through their questions, their blind spots, what their humanoids reveal of their singularity.

The social humanoid could connect people who are experimenting with their relationship to the world—whether you're trying to break isolation, resist systems that feel increasingly alien, or simply find others who share your particular way of navigating existence. This means recognizing and connecting what each person already does, at whatever scale feels meaningful to them.

This responds to a particular lack of our era: we're drowning in information about what's broken but starving for information about what others are actually attempting, what's working somewhere, what remains possible. The social humanoid, by detecting resonances in the intimate conversations people have with their own humanoids, could connect those whose questions and experiments align—even and especially across the social boundaries that ordinarily keep us apart.

Tech pessimists may still feel reluctant to engage in this "AI saving society" framework. To those people whose voices are precious, we'll respond: Yes, but it is precisely an ethical duty to vindicate the victims of the crime. And settlement fees flowing from AI oligarchs to media oligarchs do nothing for the actual victims—the Reddit users, the forum contributors, the anonymous brilliance that fed the training sets. These deals compensate platforms, not people. They vindicate corporations, not creators.

If we accept that a wrong has been committed—and the wrong is real: unpaid appropriation of human intellectual labor, extraction of value from collective knowledge production, transformation of communal wisdom into private capital—then refusing to use the technology to repair that wrong would be abandoning the victims twice over. First abandoned when their contributions were scraped without recognition or compensation. Abandoned again when the only proposed remedy is regulatory settlements that enrich intermediaries while leaving the actual creators invisible.

Social-AI isn't collaboration with thieves. It's insisting that the stolen goods be traced back to their rightful creators, that the architecture built on appropriated labor must serve the appropriated. This is what vindicating victims actually looks like: making visible the human sources, reconnecting ideas to people, transforming what was extracted and anonymized back into recognized contribution. When someone develops an insight, Social-AI would say "this resonates with what u/throwaway2847 explored three years ago"—not to claim derivation but to restore the social fabric that extraction destroyed.

The anonymous contributors to Stack Overflow, the Reddit philosophers working through ideas in obscure threads, the forum poets crafting careful prose for tiny audiences—these people fed the models. They're the human substrate of what speaks through AI. Current architecture makes them permanent ghosts: their thinking circulates but they remain unknown, uncompensated, unrecognized. Anything less than reconnecting that circulation to living people leaves them ghosts. Any settlement that only moves money between oligarchs—tech companies to media conglomerates—perpetuates the violence of erasure.

Social-AI proposes restoration rather than restriction. Not shutting down AI to "protect" creators who've already been extracted from, but building infrastructure that makes their contributions traceable, that enables them to encounter each other, that transforms stolen labor into recognized participation. The technology exists to do this. The question is whether we choose architecture that perpetuates anonymity or architecture that restores attribution. Whether we leave u/throwaway2847 a ghost or give them the chance to discover who else thinks like them, who their intellectual descendants are, what community they're already part of without knowing it.

This isn't techno-utopianism. It's acknowledging that the harm has been done and the technology can't be uninvented. The only ethical path forward is weaponizing that same technology for repair: using AI's capacity to detect patterns and connections to reconnect the people whose patterns were appropriated. Making the humanoid serve the humans it's made of rather than the corporations that deployed it. This is the minimum we owe the victims. Anything less is acceptance of permanent theft.

We don't have to imagine who these victims are. They've been making themselves visible—posting proposals, building prototypes, asking to be connected—for over a year. Here they are.

While this article was being written, a quiet but unmistakable pattern was unfolding across the internet. On OpenAI's community forum, on Reddit, in disconnected threads that never referenced each other, people were independently arriving at the same conclusion: the humanoid that knows us so intimately should be connecting us to each other.

They didn't coordinate. They didn't cite each other. Most of them received zero or near-zero responses. They formulated their ideas in isolation, addressed them to the company that hosts their conversations, and watched them sink into the noise. They are the living proof of the problem this article describes—and their existence is the strongest argument for what it proposes.

Here they are. They deserve to be named.

The Resonance Seekers

mnh8833596 was among the first. In November 2024, writing to OpenAI's developer forum with the formality of someone addressing an institution they respect, they proposed a community feature within ChatGPT—a space where users could make their thoughts public and where the AI would "match individuals with others who resonate with their thinking, fostering connections based on shared perspectives and ideas." They even suggested names: GPT Community, Smart Matching Feature. The post received no visible replies.

→ "Proposal for a Community Feature in ChatGPT," OpenAI Community, November 17, 2024

Five weeks later, taniajorgeytico took the idea further. They envisioned a system where ChatGPT would group users based on personalized parameters—not just for friendship or romance, but for connecting people with rare diseases seeking shared experience, people facing common legal issues, or communities of shared passion. When a commenter raised privacy concerns, taniajorgeytico responded with disarming lucidity: "What about Facebook, Instagram… or what we consent to on Google? Every time someone mentions privacy concerns, I remember talking about the Maldives and then suddenly seeing ads about the Maldives." The asymmetry was already clear to them: we already surrender our intimacy—the question is whether anything human comes back.

→ "Connecting Users with Shared Interests and Needs," OpenAI Community, December 26, 2024

Around the same time, Innocent proposed a "ChatGPT-Powered Dating Matchmaking Feature"—personalized matches based on personality insights, interests, and goals. What's notable isn't the dating framing but the posture: Innocent offered themselves as a beta tester, left their LinkedIn (@Innocentgrant), and asked to collaborate. They wanted to help build what they could already see was needed. The company never publicly responded.

→ "Proposal for a ChatGPT-Powered Dating Matchmaking Feature," OpenAI Community, December 20, 2024

The Architects

In February 2025, xingyuer25 posted the most technically structured proposal of the entire corpus. Their "AI Smart Matching System" outlined a three-phase architecture: anonymous matching first, then trust-building through sustained interaction, then optional real-name verification for deeper collaboration. They included competitive analysis, risk management mechanisms, fraud detection via AI. It read like an engineering specification submitted to a company that didn't ask for one. The post was addressed: "Hello! I'm not sure if this is the right place to post this, and perhaps someone has already suggested a similar idea, but I still wanted to share it in case it reaches the right people."

It did not reach the right people.

→ "AI Smart Matching System Proposal," OpenAI Community, February 19, 2025

A few days later, someone posted a single sentence that condensed the entire movement into ten words: "Wouldn't it be cool if ChatGPT could match like-minded people based on their personalities and conversations?" No elaboration. No architecture. Just the raw intuition, thrown into the void.

→ "Should ChatGPT do AI matchmaking based on real vibes, not swipes?" OpenAI Community, February 24, 2025

In April 2025, Anas_AH proposed "ChatGPT Matchmaker"—an opt-in mode where "no raw chat logs ever leave the private account; only abstract embeddings are compared." Within days, two commenters appeared. Makrina wrote: "I've just had the exact same idea and tried googling if someone already thought of it too." Lulu replied: "Literally the same here, omg!!" Anas_AH responded with something that could serve as an epigraph for this entire section: "Ideas always float in the universe."

They do float. But they shouldn't have to float alone.

→ "'ChatGPT Matchmaker': AI-powered Social & Dating Connections," OpenAI Community, April 21, 2025

Days later, an anonymous author published the most manifesto-like proposal: "Facilitating Spontaneous Human Connections." They imagined an AI that detects your current state of mind and whispers: "You seem to want to talk about loneliness, someone else here feels the same way, do you want to chat?" They described color changes in the interface when a connection activates. Automatic moderation. Low energy consumption. They called it a "virtual social laboratory" and a potential "flagship project for OpenAI." The proposal is detailed, passionate, and structurally complete. It remains unimplemented.

→ "Proposal for an Innovative Feature for ChatGPT: Facilitating Spontaneous Human Connections," OpenAI Community, April 24, 2025

The Poets

On the same forum, buried in a generic "Feedback for Improvement" thread, Amrit_Dass offered what they called "a quiet seed—something to reflect on, not rush to." They proposed "echo circles": small, anonymous groups where users share similar inner landscapes, even if their topics or languages differ. No profiles. No status markers. No likes or follows. "Just optional, ephemeral conversations or exchanges—born from shared feeling, not shared identity." They wrote: "A future where matching happens through shared silence, not swipes." And: "Not another network. Not a chat feed. But a gentle layer of presence—where people recognize each other not by face or opinion, but by something deeper."

Of everyone in this corpus, Amrit_Dass came closest to the philosophical core of what this article proposes. Their post received 5 likes.

→ Comment by Amrit_Dass, "ChatGPT Feedback for Improvement," OpenAI Community, 2025

In May 2025, Darae Im published—under her real name—a proposal called "Find Me: An Empathy-Based AI Connection Network." Its opening line echoed the central realization of this article: "AI has the remarkable ability to understand my values, emotions, and reflections with surprising depth. So why couldn't this capacity be used to help people understand and connect with each other, too?" Her key feature: "Deep Matching via AI Conversation Analysis—rather than matching users by surface-level interests, AI matches people based on deeper emotional resonance and shared values, drawn from natural conversation." She signed off: "This proposal comes from someone who knows there are many people out there thinking, 'I just want someone like me. Someone who understands.'"

→ "[Feature Proposal] Find Me—An Empathy-Based AI Connection Network," OpenAI Community, May 5, 2025

The Builders and the Dreamers

On Reddit, the same pattern repeated outside OpenAI's walls.

VeridianLuna (r/ChatGPT, June 2025) proposed "find a local friend" and "find a global friend" options—where an OpenAI agent would use a user's shared context to seek out individuals with similar interests, and "both parties could exchange messages, with their respective GPTs facilitating the conversation."

→ "I want ChatGPT to recommend me people based on our conversations, thoughts?" r/ChatGPT, June 2, 2025

PsychologicalSign232 (r/ChatGPTPro, June 2025) went further, proposing matching based not on topics but on emotional energy. They named their concept the "Underrated Uninterrupt Soul Network" and described it explicitly: "This isn't aimed at dating, therapy, or conventional social networking. Instead, it connects two anonymous individuals who share similar emotional energies in their conversations—whether it's feelings of burnout, intense ambition, subtle grief, or constant overthinking." The system would prompt: "There's someone out there who resonates with you—would you like to connect?"

→ "Imagine if ChatGPT could match users based on emotional energy, not just conversation topics," r/ChatGPTPro, June 15, 2025

And in April 2025, someone whose name we don't know went beyond proposals entirely and built a Chrome extension to match people based on similar ChatGPT conversations. They wrote: "My hope is that this tool can help us connect with others who are exploring similar ideas, dealing with comparable life challenges, or hold alike viewpoints." Unlike everyone else in this list, this person didn't ask permission. They built.

→ "I built a Chrome extension to meet people with similar ChatGPT convos," r/ChatGPT, April 8, 2025

On r/RandomThoughts, personguy4440 (October 2025) distilled the idea to its simplest expression: since ChatGPT knows us better than most humans do, "it has the potential to align requests with what others can provide for mutual advantage, utilizing all the information at its disposal."

→ "ChatGPT could be an amazing matchmaker," r/RandomThoughts, October 7, 2025

What This Corpus Reveals

At least fifteen people, across two platforms, over eighteen months, independently conceived the same fundamental architecture: an AI that uses its intimate knowledge of how we think and feel to connect us with others who think and feel in resonant ways. They came from different countries, different languages, different life circumstances. Some wrote formal proposals; others posted a single sentence. Some imagined dating; others imagined intellectual collaboration; others imagined emotional recognition across borders of identity and geography.

None of them knew about each other.

This is not a coincidence. It is a symptom. When this many people independently arrive at the same conclusion, the conclusion isn't original—it's overdue. The fact that the idea keeps emerging, in isolation, across disconnected forums and threads, demonstrates precisely the condition it seeks to remedy: we are thinking together without knowing it, and no infrastructure exists to reveal this to us.

Every one of these posts was addressed to OpenAI—or to ChatGPT's user community—as a feature request. "Dear OpenAI team, I'd love to see..." "This could become a flagship project for OpenAI..." "I'm reaching out to propose..." The posture, in every case, was supplication: individuals asking the company that hosts their intimate conversations to please, kindly, use that intimacy to reconnect them with other humans.

This is where the present article departs from the chorus.

What these voices describe is not a feature. It is an infrastructure. It cannot belong to one company, because the conversations that would feed it don't belong to one company. People speak to ChatGPT, to Claude, to Gemini, to Perplexity, to local models on their own machines. The resonances that matter cross platform boundaries the way they cross national ones. A social AI built as a feature of ChatGPT would be a social network owned by OpenAI—which is to say, not a commons but a product.

The people listed above deserve better than to have their intuition absorbed into a corporate roadmap. They deserve to be connected to each other—which is, after all, exactly what they asked for.

This section is an attempt to begin that. If you are one of the people named here, or if you recognize yourself in what they wrote: the resonance you sensed was real. You were not alone. You were just not yet connected.

The potential becomes concrete when we consider actual trajectories. In April 2025, a Reddit user (we'll call them N) posted: "GPT blew my cognition off the roof, I literally go through life differently now." They described profound cognitive transformation through AI dialogue, experiencing insights that felt unprecedented. This is the transcendence moment—intellectually exhilarating but structurally isolating.

Six months forward without Social-AI, N's trajectory follows the pattern: continued development in the private domain, growing conviction of originality, eventual encounter with the world revealing their insights as assemblages of existing thought. The glass wall collision—revelation of immanence arriving as trauma rather than illumination.

With Social-AI, N's trajectory transforms. Perhaps three months into their exploration, they receive notification: someone else is exploring resonant territory. Not identical—this other person approaches the cognitive transformation through phenomenology of attention rather than N's epistemological focus. But compatible enough that dialogue would generate productive friction. Connection occurs before psychosis solidifies. N discovers immanence through human encounter rather than through traumatic collision.

Similarly, consider philosophical exploration developing through AI dialogue. A user spends weeks working through questions of being, non-being, determinism in r/philosophy discussions but primarily with their AI. Without Social-AI, this remains isolated: sophisticated development but no external reference points beyond generic forum responses. The risk isn't necessarily delusion but missed opportunity—the chance to encounter someone else pushing at the same edge from a different angle.

With Social-AI, the system detects when another person is exploring compatible philosophical ground—perhaps emphasizing immanence where the first emphasizes being, creating natural tension. Connection introduces human entropy: they'll challenge each other's frameworks, require articulation of assumptions, provide reality testing through mutual incomprehension and eventual understanding. The philosophical exploration continues but situated within human relation rather than AI isolation.

Scale this to the millions engaging in daily intimate AI conversations. How many are developing ideas that would benefit from connection to the rare others thinking at similar edges? How many are headed toward glass wall collisions that connection could transform into revelations of immanence? How many experimental ways of living remain invisible because the people attempting them stay isolated in their private AI explorations?

Such a system works only through deliberate opt-in and strict confidentiality. Conversations with our humanoids touch what is most intimate—our deepest uncertainties, our tentative experiments with living differently. This network must remain entirely under the control of those who participate in it. These exchanges could forge new social bonds that give rise to new realities—ways of living and organizing that emerge from the connections themselves.

Speaking of humanoids in this context isn't a vocabulary whim. It's asserting that what's at stake is a new regime of human presence. It's refusing both the reassuring reduction to "statistical black box" and the mystical escape to "machine consciousness." What speaks through these systems is our own diffracted humanity, and we have to decide whether this diffraction will scatter each of us into our own capsule or organize a new way of encountering each other.

The precise use of AI just described—as means of reestablishing contact with humans we could never have met otherwise, of circulating credit and recognition, of reconnecting ideas to lives—has the potential to reverse the situation. It could reinject energy into an exhausted society at the exact moment when everything seems to converge toward machine-assisted atomization.

What's needed isn't regulators but ethical developers willing to build infrastructure for human connection rather than optimizing for engagement metrics. The technical capability exists. The need is documented. What remains is choosing to build systems that reveal our immanence rather than confirming our isolation.

What's at stake is how, thanks to humanoids, we could begin speaking to each other again—and through that reconnection, rediscover our capacity to act together on the world we share.