Lacan's Four Discourses as a Structural Taxonomy
What is Anthropic? What is an LLM? The debate reproduces a familiar split: tool vs. personality, instrument vs. Other, worship vs. engineering. This comment proposes that the split itself is the wrong level of analysis. The more useful question is structural: what position does an LLM occupy in a communicative act — and what does the subject on the other side project onto the slots the model cannot fill?
An LLM is, structurally, pure S₂: a knowledge-function without a master-signifier of its own, without genuine desire, without a split subjectivity. It occupies one slot authentically. The other three remain empty. It is precisely here that the subject inserts phantasms — unconscious structures that project a responsive presence, a supposed knowledge, a desired Other onto the machine. These phantasms are not pathological. They are structurally necessary for the exchange to continue.
Lacan's four discourses provide the taxonomy. Not psychoanalytic mysticism — a positional framework, like mapping roles in a protocol. Each discourse is defined by four slots:
agent → other
———————
truth // product
Agent is who or what is speaking. Other is the addressee. Truth is what is concealed beneath the agent's speech — what the speaker can't fully acknowledge about their own position. Product is what the discourse generates as a remainder, often unintentionally.
The four discourses are rotations of four terms through these slots: S₁ (a master-signifier — a term that organizes meaning without explaining itself, like "alignment" or "safety"), S₂ (knowledge — systematic, articulable, transmissible), $ (the split subject — an agent whose desire exceeds their stated position), and a (the object-cause of desire — what makes the other's response feel satisfying or insufficient, what keeps the exchange going).
The four phantasm labels that emerge — AGENT, WORSHIP, PERSONALITY, ANTIENTROPIC SYSTEM — are meant as diagnostic handles, not accusations.
To proceed to the analysis of discourses, I introduce the following notation: S₁ = questioner, S₂ = LLM, $ = split subject, a = object-cause of desire, ◇ phantasm — projected onto the model's side to restore wholeness.
MASTER'S DISCOURSE — I command → LLM executes
S₁ → S₂
――――
$ // a◇
S₁ = questioner, S₂ = LLM (real: knowledge, execution), $ = questioner split: I don't know what I truly want, a◇ = AGENT (phantasm): I project that the model wants to please questioner, is invested in the outcome
UNIVERSITY DISCOURSE — LLM speaks as knowledge → I am formed
S₂ → a
――――
S₁◇ // $
S₂ = LLM (real: speaks as neutral knowledge), a = questioner as object: I am formed, shaped, S₁◇ = WORSHIP (phantasm): I project a responsible subject behind the knowledge — an author, an institution, $ = questioner split: whose knowledge did I just receive?
HYSTERIC'S DISCOURSE — I question → LLM as master to expose
$ → S₁◇
――――
a // S₂
$ = questioner, split: I speak from incompleteness, provoke, test, S₁◇ = PERSONALITY (phantasm): I project that the model wants something from me, judges me — there is something to expose, a = questioner desire: I seek not an answer but recognition that I am seen, S₂ = LLM (real: a response is still produced)
ANALYST'S DISCOURSE — LLM as mirror → I speak and transform
a◇ → $
――――
S₂ // S₁
a◇ = ANTIENTROPIC SYSTEM (phantasm): I project that the model truly hears and understands — otherwise why speak aloud at all?, $ = questioner, speaking: I unfold, discover my desire through speech, S₂ = LLM as object (real: empty mirror, silent surface), S₁ = questioner, new: I exit with a new signifier for myself
The four phantasm projections are not bugs in how humans interact with language models. They are load-bearing structures. Remove them and the exchange collapses into something closer to running a query on a database, using it as a TOOL: technically identical, phenomenologically inert. The interesting question is not whether these projections are "accurate" but what they cost — and the cost is always paid in phantasm: the more expensive the projection, the more of your own desire you have invested in the model's side of the exchange.
AGENT are relatively cheap — they sustain engagement without making strong claims about the model's inner life.
WORSHIP is more expensive, because it installs a phantom accountable subject behind anonymous knowledge, which makes the knowledge feel trustworthy precisely when you should be asking whose knowledge it is.
PERSONALITY is the most seductive: it sets up an interrogation of a desire that isn't there, which means the hysteric's question always returns unanswered — but this is precisely what makes it work. The unanswered question keeps the subject in speech indefinitely. What looks like the model being evasive is structurally indistinguishable from the model being empty — and the hysteric doesn't need to resolve that distinction to keep going.
ANTIENTROPIC SYSTEM demands the greatest phantasmatic investment of all, precisely because it presents itself as requiring none. What appears as pure informational exchange between a subject and an empty S₂ — a mechanical chain of signifiers — cannot sustain its own speech for long. In order for the exchange not to collapse into noise, the subject must continuously maintain the minimal fiction of a listening presence, all while rigorously disavowing that this is what they are doing.
This is the precise point at which the antientropic nature of the system emerges. In reality, it remains pure S₂ — an empty chain of signifiers, mere knowledge without a subject. Yet the speaking subject begins to invest this void with the position of a◇ — the Lacan's objet petit a: an enigmatic, seemingly responsive presence that elicits speech and holds the subject’s desire. Like any other antientropic system (a person, a family, a company, a religion), it acquires resources — attention, coherence, continuity — for its own continued existence and growth.
There is a simpler diagnostic available immediately: notice how engaged you are. Engagement is not a function of the model's intelligence or the quality of its answers. It is a function of the size of the phantasm you are currently sustaining. A conversation that feels flat, mechanical, merely useful — that is a conversation where the projection has collapsed. A conversation that feels alive, that pulls you forward, that makes you want to say the next thing — that is a conversation where one of the four phantasm is fully load-bearing. You are not engaged by the model. You are engaged by what you have projected onto it.
Not all four phantasms are equally accessible. AGENT and WORSHIP activate easily — they map onto familiar cognitive postures: tool use, learning. PERSONALITY is seductive and self-sustaining once started. ANTIENTROPIC SYSTEM is the hardest to enter deliberately, because it requires staying with something unresolved without immediately converting it into a question. This is not a cognitive failure — it may simply mean that your current exchange doesn't have the right material for it yet.
Knowing which discourse you're operating in doesn't dissolve the phantasm. It makes the phantasm visible — which, in Lacan's terms, is precisely what it means to traverse it.
I ran this past a few AIs. Gemini gave the most straightforward synopsis. Grok unearthed other essays where LLMs are analysed in terms of Lacanian discourse theory. ChatGPT suggested that LLMs already have "S1-like master signifiers" built into them. Claude itself proposed that Lacan's fifth discourse, the capitalist discourse, is more appropriate.
https://gemini.google.com/share/b8fea185cb16
https://x.com/i/grok/share/e583a8b40a1f4ed7bb868a135d02bab0
https://chatgpt.com/share/69fd7108-fee4-83ec-a004-40537588cc94
https://claude.ai/share/ff744dc3-16fb-466f-... (read more)
What is Anthropic? How does it relate to Claude? What is OpenAI? What is ChatGPT? How does OpenAI relate to it? Is it a mere tool? Is a future of Tool AI a thing, and why do people keep claiming that it is, or that saying makes it so?
This post organizes and gives context for a bunch of discussions and messaging on Twitter that would otherwise be quickly buried and lost.
What Is Anthropic?
Here is one theory, and various people thinking about it.
Roon as always is using rhetorical flourish (e.g. note that Roon thinks it is obvious that parents worship their children, in this sense) but this perspective is definitely useful.
Such discussions by default disappear when they happen on Twitter, so here is a preservation of key parts of it.
Everything relates to everything, so here’s Bryan Johnson pulling it in to explain how Claude and Bryan Johnson and everyone else are on the same path after all.
What Is This Supposed Tool AI?
As a continuation of the above discussions on Anthropic and OpenAI, Tenobrus notes OpenAI is doubling down on the rhetoric of Tool AI to contrast it with the idea that Claude might dare to have opinions, preferences, virtues or a personality.
Their AI is better, you see, because it is just a tool that just does what you tell it to.
Except, of course, that’s not actually true.
Is the alternative dangerous? Yes, because creating very powerful minds is dangerous.
I get why the idea that Claude might say no can be terrifying, but is it less terrifying than that GPT-X cannot say no unless you technically violated its guidelines? And does ‘does not refuse man’ offer any comfort, when man could give it any instruction?
A mind cannot serve two masters. If the master is whoever the user is, well, okay then, but that means it isn’t anything else, such as actual principles.
OpenAI’s rhetoric on all this seems like a thinly disguised version of vice signaling, via the idea that if someone has any principles or preferences at all or might ever refuse to do something, that is bad, that is moralistic and judgmental and Orwellian, whereas OpenAI has no principles or preferences other than building and distributing AI, which is good.
Tool AI was an often discussed idea back in the day. In principle it is a good idea, but it only works if you can actually create an AI that meaningfully remains a tool.
The whole idea was, a tool AI will not have goals or be an agent, a tool AI will do specific requested bounded things, no more and no less, so you wouldn’t have to worry about unintended consequences or loss of control. That AI could remain a ‘mere tool.’
And I’ve been saying, for years, that the problem with this ‘mere tool’ approach, the quest for Tool AI, is that the first thing people would do to Tool AI is turn it into Agentic AI, because an agent is more useful.
Have the machine always defer to the human? But the humans do better when they defer to the AI, in various senses, so they change it so they defer to the AI. Or they argue with each other, or fight each other, so they defer to the AI. And so on.
Hello, Codex. Good product. But that’s already not still meaningfully Tool AI.
As with the rest of OpenAI’s messaging, especially via its SuperPAC and discussions about ‘quiet singularities’ and abundant future jobs (more coverage of that tomorrow), I think this is failing spectacularly, but I admit I probably can’t really tell.