Why Deflationary Philosophy Keeps Attracting Mystics

4–5 minutes

The struggle is real. There is an odd occupational hazard that comes with writing deflationary philosophy: mystics keep turning up to thank you for your service.

This is always mildly bewildering. One spends a great deal of time dismantling metaphysical furniture, only to discover a small group lighting incense in the newly cleared space. Candles appear. Silence thickens. Someone whispers ineffable. Nope. The filing cabinet was just mislabeled.

Audio: NotebookLM summary podcast of this topic.

The problem is not misunderstanding. It’s reuse.

It is tempting to think this is a simple misreading: I say this concept breaks down here, and someone hears you have glimpsed the ultimate. But that’s too kind. What’s really happening is more interesting. Mysticism does not merely misunderstand deflationary work; it feeds on the same linguistic moves and then stops too early.

Both mysticism and deflation rely on negative gestures:

  • “This description fails.”
  • “That category no longer applies.”
  • “Our usual language runs out.”

Up to this point, they are indistinguishable. The fork comes immediately after. The mystic treats conceptual failure as an endpoint. The silence itself becomes the destination. Something deep must live there, humming quietly, just out of reach.

The deflationist treats the same failure as a transition. The silence is not sacred. It’s a signal. It means: this tool no longer fits; pick another or move on. Same breakdown. Entirely different posture.

Clearing space versus consecrating it

Much deflationary philosophy clears space. It removes assumptions that were doing illicit work and leaves behind something quieter, simpler, and occasionally disappointing.

Mysticism has a standing policy of consecrating cleared space. An empty room is never just empty. It must be pregnant with meaning. Absence becomes depth. Silence becomes revelation. The fewer claims you make, the more cosmic you must be.

This is not a philosophical disagreement so much as a difference in temperament. One side sees subtraction. The other experiences loss and rushes to compensate. Modern intellectual culture strongly prefers addition. New layers. Hidden structures. Further depths. Deflation feels like theft. So it gets reinterpreted as a subtler form of enrichment: Ah, fewer words, therefore more truth.

The aesthetic trap

There is also an aesthetic problem, which I increasingly suspect does most of the damage. Deflationary philosophy, when done well, tends to sound calm, patient, and restrained. It does not shout. It does not posture. It does not perform certainty. Unfortunately, this is exactly how profundity is supposed to sound.

Quiet seriousness is easily mistaken for spiritual depth. Refusal to speculate reads as wisdom. Negative definition acquires an apophatic glow. This is how one ends up being mistaken for a mystic without having said anything mystical at all.

A brief word about Wittgenstein (because of course)

This is not a new problem. Ludwig Wittgenstein spent a good portion of his career trying to convince people that philosophical problems arise when language goes on holiday. He was not pointing at a deeper reality beyond words. He was pointing back at the words and saying: look at what you’re doing with these.

Unfortunately, “Whereof one cannot speak, thereof one must be silent” has proven irresistible to those who think silence is where the real action is. Wittgenstein meant: stop here. Many readers heard: kneel here. This is the recurring fate of therapeutic philosophy. The cure gets mistaken for a sacrament.

Charity is not complicity

Another contributor to the confusion is tone. Deflationary work tends to be charitable. It explains why certain intuitions arise. It traces confusions to their sources. It does not sneer. This generosity is often misheard as validation. When you say, “It makes sense that we think this way,” some readers hear, “Your intuition is pointing at something profound.” You are offering an explanation. They are receiving an affirmation. At that point, no disclaimer will save you. Any denial is absorbed as further evidence that you are brushing up against something too deep to articulate.

The real disagreement

The disagreement here is not about reality. It is about what to do when explanation fails.

Mysticism treats failure as revelation. Deflation treats failure as diagnostic.

One sanctifies the breakdown. The other changes tools.

Once you see this, the repeated misfire stops being frustrating and starts being predictable.

A final, self-directed warning

There is, admittedly, a risk on the other side as well. Deflation can become mystical if it turns into ritual. If refusal hardens into identity. If “there is nothing there” becomes something one performs rather than concludes. Even subtraction can acquire ceremony if repeated without purpose. The discipline, such as it is, lies in knowing when to clear space—and when to leave the room.

No replacement gods

When a metaphysical idol is removed, someone will always ask what god is meant to replace it. The deflationary answer is often disappointing: none. This will never satisfy everyone. But the room is cleaner now, and that has its own quiet reward—even if someone insists on lighting incense in the corner.

Image: Full cover image infographic by NotebookLM

Reality Happens Once. Facts Happen Many Times.

I want to clarify my recent The Trouble with Facts post. I realise that I was speaking to one non-trivial form of facts, but there is more than one class of facts. We argue about facts as if the word named a single, stable thing. It doesn’t. It names a family of very different things, quietly grouped together by habit, convenience, and institutional need. Most disputes about facts go nowhere, not because one side is irrational, but because the word itself is doing covert work. We slide between meanings without noticing, then act surprised when disagreement follows. This piece is an attempt to slow that slide.

Audio: NotebookLM summary podcast of this topic.

Polysemy We Notice, Polysemy We Don’t

We are comfortable with ambiguity when it is obvious. A bank can be a financial institution or the edge of a river. A bat can be an animal or a piece of sports equipment. Context resolves these instantly. No one feels existentially threatened by the ambiguity.

Fact is different. The word is polysemous in a way that is both subtle and consequential. Its meanings sit close enough to bleed into one another, allowing certainty from one sense to be smuggled into another without detection. Calling something a fact does not merely describe it. It confers authority. It signals that questioning should stop. That is why this ambiguity matters.

Different Kinds of Facts

Before critiquing facts, we need to sort them.

1. Event-facts (brute, world-facing)
As mentioned previously, these concern what happens in the world, independent of observation.

  • A car collides with a tree.
  • Momentum changes.
  • Metal deforms.

These events occur whether or not anyone notices them. They are ontologically robust and epistemically inaccessible. No one ever encounters them directly. We only ever encounter traces.

2. Indexical or performative facts (trivial, self-reporting)
“I am typing.”

I am doing this now – those now may not be relevant when you read this. This is a fact, but a very thin one. Its authority comes from the coincidence of saying and doing. It requires no reconstruction, no inference, no institutional validation. These facts are easy because they do almost no work.

3. Retrospective personal facts (memory-mediated)
“I was typing.”

This may be relevant now, at least relative to the typing of this particular post. Still a fact, but weaker. Memory enters. Narrative compression enters. Selectivity enters. The same activity now carries a different epistemic status purely because time has passed.

4. Prospective statements (modal, not yet facts)
“I will be typing.”

This is not yet a fact. It may never come to be one. It is an intention or prediction that may or may not be realised. Future-tense claims are often treated as incipient facts, but this is a category error with real consequences.

5. Institutional facts (designated, procedural)
“The court finds…”
“The report concludes…”

These are facts by designation. They are not discovered so much as selected, formalised, and stabilised so that systems can act. They are unlikely to rise to the level of facts, so the legal system tends to generate facts in name only – FINO, if I am being cute.

All of these are called ‘facts’. They are not interchangeable. The trouble begins when certainty migrates illicitly from trivial or institutional facts into brute event-facts, and we pretend nothing happened in the transfer.

One Motor Vehicle

Reconsider the deliberately simple case: A motor vehicle collides with a tree. Trees are immobile, so we can rule out the tree colliding with the car.

Ontologically, something happened. Reality did not hesitate. But even here, no one has direct access to the event itself.

The driver does not enjoy privileged access. They experience shock, adrenaline, attentional narrowing, selective memory, post hoc rationalisation, perhaps a concussion. Already several layers intervene before language even arrives.

A rough schema looks like this:

event → sensory registration → cognitive framing → linguistic encoding → social validation

Ontology concerns what happens.
Epistemology concerns how anything becomes assertable.

Modern thinking collapses the second into the first and calls the result the facts.

People speak of “hard facts” as if hardness transfers from objects to propositions by proximity. It doesn’t. The tree is solid. The fact is an artefact assembled from observation, inference, convention, and agreement.

And so it goes…

Why the Confusion Persists

When someone responds, “But isn’t it a fact that I read this?”, the answer is yes. A different kind of fact.

The error lies not in affirming facts, but in failing to distinguish them. The word fact allows certainty to migrate across categories unnoticed, from trivial self-reports to brute world-events, and from institutional verdicts to metaphysical claims. That migration is doing the work.

Conclusion

Clarifying types of facts does not weaken truth. It prevents us from laundering certainty where it does not belong.

Facts exist. Events occur. But they do not arrive unmediated, innocent, or singular.

Reality happens once. Facts happen many times.

The mistake was never that facts are unreal. It was believing they were all the same kind of thing.

Wandering Elephants in the Desert of Consciousness

2–3 minutes

The modern search for the truth of consciousness has the unmistakable smell of a desert expedition gone wrong.

Everyone agrees the elephant is real. Everyone insists it’s important. No one agrees what it is, where it’s going, or whether it’s moving in circles. Still, the caravan marches on, convinced that the next dune will finally reveal solid ground.

Audio: NotebookLM summary podcast of this topic.

This confidence rests on a familiar Modern assumption: motion equals progress. We may not know where the shoreline of Truth lies, but surely we’re heading toward it. Each new theory, each new scan, each new formalism feels like a step forward. Bayesian updates hum reassuringly in the background. The numbers go up. Understanding must be improving.

But deserts are littered with travellers who swore the same thing.

The problem with consciousness is not that it is mysterious. It’s that it is structurally unplaceable. It is not an object in the world alongside neurons, fields, or functions. It is the mediated condition under which anything appears at all. Treating it as something to be discovered “out there” is like looking for the lens inside the image.

MEOW puts its finger exactly here. Consciousness is not a hidden substance waiting to be uncovered by better instruments. It is a constrained encounter, shaped by biology, cognition, language, culture, technology. Those constraints are real, binding, and non-negotiable. But they do not add up to an archetypal Truth of consciousness, any more than refining a map yields the territory itself.

Modern theories of consciousness oscillate because they are stabilising different aspects of the same mediated situation. IIT formalises integration. Global workspace models privilege broadcast. Predictive processing foregrounds inference. Illusionism denies the furniture altogether. Each feels solid while inhabited. Each generates the same phenomenology of arrival: now we finally see what consciousness really is.

Until the next dune.

Cognitively, we cannot live inside a framework we believe to be false. So every new settlement feels like home. Retrospectively, it becomes an error. Progress is narrated backwards. Direction is inferred after the fact. Motion is moralised.

The elephant keeps walking.

None of this means inquiry is futile. It means the myth of convergence is doing far more work than anyone admits. Consciousness research improves descriptions, sharpens constraints, expands applicability. What it does not do is move us measurably closer to an observer-independent Truth of consciousness, because no such bearing exists.

The elephant is not failing to reach the truth.

The desert is not arranged that way.

Image: NotebookLM infographic on this concept.

Once you stop mistaking wandering for navigation, the panic subsides. The task is no longer to arrive, but to understand where circles form, where mirages recur, and which paths collapse under their own metaphysical optimism.

Consciousness isn’t an elephant waiting to be found.

It’s the condition under which we keep mistaking dunes for destinations.

When Words Do the Work: A Case Study in Nomenclature Drift

3–5 minutes

Lewis Goodall, a talk show host, calls the cross-border seizure of Venezuela’s Nicolás Maduro a ‘kidnapping’. His guest and Trump apologist, Angie Wong, rejects the word. She first says ‘arrest’, then ‘extradition’, then finally the improvised ‘special extradition’. Around that single lexical choice, a 12-minute standoff unfolds.

Audio: NotebookLM summary podcast of this topic.

As a language philosopher, I am evaluating the language and am less concerned with the underlying facts of the matter. Language serves to obscure these facts from the start and then rhetorically controls the narrative and framing.

Video: Source segment being analysed

There is a familiar mistake made whenever public discourse turns heated: the assumption that the real disagreement lies in the facts. This is comforting, because facts can, at least in principle, be checked. What follows examines a different failure mode altogether. The facts are largely beside the point.

Consider a broadcast exchange in which a political commentator and an interviewer argue over how to describe the forcible removal of a head of state from one country to another. The interviewer repeatedly uses the word kidnapping. The guest repeatedly resists this term, preferring arrest, extradition, and eventually the improvisational compromise ‘special extradition’.

What matters here is not which term is correct. What matters is what the interaction reveals about how meaning is negotiated under pressure.

The illusion of disagreement

Superficially, the exchange appears to be a dispute about legality. Was there a treaty? Was due process followed? Which court has jurisdiction? These questions generate heat, but they are not doing the work.

The real disagreement is prior to all of that: which lexical frame is allowed to stabilise the event.

Once a label is accepted, downstream reasoning becomes trivial. If it was an extradition, it belongs to one legal universe. If it was a kidnapping, it belongs to another. The participants are not arguing within a shared framework; they are competing to install the framework itself.

Equivocation as method, not error

The guest’s shifting vocabulary is often described as evasive or incoherent. This misreads what is happening. The movement from extradition to special extradition is not confusion. It is a deliberate widening of semantic tolerance.

‘Special extradition’ is not meant to clarify. It is meant to survive. It carries just enough institutional residue to sound procedural, while remaining sufficiently vague to avoid binding criteria. It functions less as a description than as a holding pattern.

This is equivocation, but not the amateur kind taught in logic textbooks. It is equivocation under constraint, where the aim is not precision but narrative continuity.

Why exposure fails

The interviewer repeatedly points out that extradition has a specific meaning, and that the situation described does not meet it. This is accurate, and also ineffective.

Why? Because the exchange is no longer governed by definitional hygiene. The audience is not being asked to adjudicate a dictionary entry. They are being asked to decide which voice has the authority to name the act.

Once that shift occurs, exposing misuse does not correct the discourse. It merely clarifies the power asymmetry. The guest can concede irregularity, precedent-breaking, even illegality, without relinquishing control of the label. The language continues to function.

Truth as a downstream effect

At no point does the exchange hinge on discovering what ‘really happened’. The physical sequence of events is relatively uncontested. What is contested is what those events are allowed to count as.

In this sense, truth is not absent from the discussion; it is subordinate. It emerges only after a rhetorical frame has been successfully installed. Once the frame holds, truth follows obediently within it.

This is not relativism. It is an observation about sequence. Rhetoric does not decorate truth here; it prepares the ground on which truth is later claimed.

Language doing institutional work

The most revealing moment comes when the guest effectively shrugs at the legal ambiguity and asks who, exactly, is going to challenge it. This is not cynicism. It is diagnostic.

Words like arrest and extradition are not merely descriptive. They are operational tokens. They open doors, justify procedures, and allow institutions to proceed without stalling. Their value lies less in semantic purity than in administrative usability.

‘Kidnapping’ is linguistically precise in one register, but administratively useless in another. It stops processes rather than enabling them. That is why it is resisted.

What the case study shows

This exchange is not about geopolitics. It is about how language behaves when it is tasked with carrying power. Meaning drifts not because speakers are careless, but because precision is costly. Labels are selected for durability, not accuracy. Truth does not arbitrate rhetoric; rhetoric allocates truth. Seen this way, the debate over terminology is not a failure of communication. It is communication functioning exactly as designed under modern conditions. Which is why insisting on ‘the correct word’ increasingly feels like shouting into a ventilation system. The air still moves. It just isn’t moving for you.

Just the Facts, Mum (About Speed Limits)

3–4 minutes

We tend to think of speed limits as facts. Numbers. Neutral. Posted. Enforced. And yet almost no one treats them that way.

Roads are engineered to handle speeds well above the numeral on the sign. Police officers routinely tolerate a band of deviation. We know they’ll allow around ten miles per hour over the stated limit. They know we know. We know that they know that we know. Ad infinitum.

Audio: NotebookLM summary podcast of this topic.

Courts accept that instruments have margins of error. Drivers adjust instinctively for weather, traffic density, visibility, vehicle condition, and local customs. A straight, empty motorway at 3 a.m. is not experienced the same way as a narrow residential street at school pickup time, even if the number on the sign is identical. Everyone knows this. And yet we continue to talk about the speed limit as if it were an unmediated fact about the world.

This is not a complaint about traffic law. Speed limits work remarkably well, precisely because they are not what they appear to be. They are not discoveries about nature, but stabilised conventions: administrative thresholds designed to coordinate behaviour under uncertainty. The familiar numbers – 30, 50, 70 – are not found in the asphalt. Never 57 or 63. They are chosen, rounded, and maintained because they are legible, enforceable, and socially negotiable. What makes speed limits interesting is not their arbitrariness, but their success.

They hold not because they are exact, but because they survive approximation. They absorb error, tolerate deviation, and remain usable despite the fact that everyone involved understands their limits. In practice, enforcement relies less on the number itself than on judgments about reasonableness, risk, and context. The ‘fact’ persists because it is embedded in a network of practices, instruments, and shared expectations.

If you end up in court driving 60 in a 50, your ability to argue about instrument calibration won’t carry much weight. You’re already operating 20 per cent over specification. That’s beyond wiggle room – highly technical nomenclature, to be sure.

Blood alcohol limits work the same way. The legal threshold looks like a natural boundary. It isn’t. It’s a policy decision layered atop probabilistic measurement. Unemployment rates, diagnostic cutoffs, evidentiary standards – all of them look objective and immediate whilst concealing layers of judgment, calibration, and compromise. Each functions as a closure device: ending debate not because uncertainty has been eliminated, but because further uncertainty would make coordination impossible.

The trouble begins when we forget this – and we do. When facts are treated as simple givens rather than negotiated achievements, they become untouchable. Questioning them gets mistaken for denying reality. Acknowledging their construction gets misheard as relativism. What started as a practical tool hardens into something that feels absolute.

This is how we end up saying things like ‘just give me the facts’ whilst quietly relying on tolerance bands, interpretive discretion, and institutional judgment to make those facts usable at all.

If this sounds right – if facts work precisely because they’re mediated, not despite it – then the question becomes: what does truthfulness require once we’ve acknowledged this?

I’ve written a longer essay exploring that question, starting from Bernard Williams’ account of truthfulness as an ethical practice and extending it to facts themselves. The argument isn’t that facts are illusory or unreliable. It’s that recognising how they actually work – through stabilisation, constraint, and correction – clarifies rather than undermines objectivity.

The speed limit is the hint. Here’s the argument: The Fact of the Matter: After Bernard Williams – Truthfulness, Facts, and the Myth of Immediacy

Audio: NotebookLM summary podcast of the underlying essay (not this blog content).

A Year of ChatGPT, 2025

1–2 minutes

Like many apps, especially in the SaaS and PaaS space, ChatGPT offered a year-in-review. Even though I use several generative AI platforms, ChatGPT and Claude are my top two, followed by Gemini, Grok, DeepSeek, Perplexity, and Mistral – in that order. I also like Kimi K2. I am not a fan of Meta Llama or Qwen.

Image: Except for the coffee, this isn’t half bad.
Image: 2025 ChatGPT Chat Stats

Wow. I sent ChatGPT over 35,000 messages. Since I have a couple of accounts, that’s even more amazing. This is my primary account.

I don’t usually use ChatGPT / Dalle-E for images. Many of these were ChatGPT, offering an image. Still, I used a few.

I had over 1,200 chats. I guess these are actual threads. I tend to create a thread per topic and run it deep, hence the disparity between chats and messages.

Evidently, my sent messages got me into the top 1 per cent of users, and I was one of the first 0.1% of users. I suppose that makes me an early adopter. lol

Image: ChatGPT Archetype: The Strategist

I just felt like sharing this silly novelty for no particular reason.

Cold, Aliens, and the Grammar That Thinks It Knows Too Much

2–3 minutes

I shared this post not too long ago. Today, I shared it in a different context, but I feel is interesting – because I feel that many things are interesting, especially around language and communication.

It commenced here on Mastodon.

Ocrampal shared a link to an article debating whether we are cold or have cold. Different cultures express this differently. It’s short. Read it on his site.

Audio: Exceptional NotebookLM summary podcast of this topic.

I replied to the post:

Nicely observed. I’ve pondered this myself. Small linguistic tweak: between être and avoir, avoir already behaves better metaphysically, but sentir seems the cleanest fit. Cold isn’t something one is or has so much as something one senses — a relational encounter rather than an ontological state or possession.

Between having and being, having is the lesser sin — but sensing/feeling feels truer. Cold belongs to the world; we merely sense it.

He replied in turn:

Agree except for: “Cold belongs to the world”. That is a metaphysical assumption that has consequences …

Finally (perhaps, penultimately), I responded:

Yes, it does. That statement was idiomatic, to express that ‘cold’ is environmental; we can’t be it or possess it. Coincidentally, I recently wrote about ‘cold’ in a different context:

where I link back to the post at the top of this article.

A more verbose version of this response might have been:

And this is exactly the problem I gestured at in the aliens piece. We mistake familiar grammatical scaffolding for shared metaphysics. We assume that if the sentence parses cleanly, the ontology must be sound.

Language doesn’t just describe experience. It quietly files it into categories and then acts surprised when those categories start making demands.

Cold, like aliens, exposes the trick. The moment you slow down, the grammar starts to wobble. And that wobble is doing far more philosophical work than most of our declarative sentences are willing to admit.

Meet the Language Insufficiency GPT

1–2 minutes

In anticipation of the publication of A Language Insufficiency Hypothesis in January 2026, I’ve created a Language Insufficiency GPT.

Today I’m launching something designed to exploit a familiar failure mode with forensic precision:
👉 https://chatgpt.com/g/g-694018a9bbc88191a8360d65a530e50c-language-insufficiency-gpt

Naturally, it will make more sense alongside the book. But it may still provide a bit of entertainment – and mild discomfort – in the meantime.

tl;dr: Language is generally presumed to be stable. Words mean what you think they mean, right? A table is a table. A bird is a bird. Polysemy aside, these are solid, dependable units.

Then we arrive at freedom, justice, truth, and an entire panoply of unstable candidates. And let’s not even pretend qualia are behaving themselves.

So when someone says ‘truth’, ‘free speech’, or ‘IQ’, you may suddenly realise you’ve been arguing with a cardboard cut-out wearing your own assumptions. That isn’t just interpersonal mischief. It’s language doing exactly what it was designed to do: letting you glide over the hard problems while sounding perfectly reasonable.

Audio: Short NotebookLM summary of this page content*
Video: Legacy video explaining some features of the LIH.

If that sounds banal, you’ve already fallen for the trap.

Give it a try – or wait until you’ve digested the book. Not literally, unless you’re short on fibre.

Cheers.

* As I’ve cited previously, the quality of NotebookLM varies – usually in predictable directions. This one does well enough, but it doesn’t have enough context to get the story right (because it was only drawing from this page rather than from a fuller accounting of the LIH). Its trailing comment reveals that it doesn’t grasp that “new words” don’t solve the problem.

Earlier, it suggests that language is intentionally vague. This is not an assertion I make. You can read some of the earlier incarnations, or you can wait for it to be published.

I Don’t Buy It

1–2 minutes

I posted a video on YouTube that I shared here. They’ve added some AI to the studio channel interface.

Image: YouTube Studio’s Inspiration Page. Thanks, but no thanks.

On the previous page, the prompt window (top right) asked if I wanted to know how my video was performing versus the baseline. I affirmed, and it spit out results. Brilliant.

I noticed a handful of ‘inspiration items’. None looked particularly interesting, but I have a nostalgia for Trolley Problems™. A few years ago, I would have jumped on the idea. Nowadays, I’ve seen hundreds of variations, and I’ve lost interest. However, being on familiar ground, I clicked on it to see what would happen. The result is the screenshot above.

Not only is the response templated with thumbnails, but AI is also ready to write the script. At this rate, why doesn’t YouTube just create ideas and generate them itself – like Spotify or Suno? It may just be a matter of time.

I am a heavy user of AI, but I lead the conversation. I am an author, and a reason I don’t join writers groups – I’ve attended some – is that I don’t need help with topics. I don’t get writer’s block. I just need the time and focus to get it out. I suppose that one day the creative well could run dry, but I don’t do this for commercial gain. Sure, that happens, but it’s not my goal. My goal is to write to share and exchange ideas.

I have many colleagues who are commercial writers and artists. I don’t know how they can do it. I understand that people have different interests and temperaments, but this is not one of mine. It would literally take all of the joy out of it. Not all people are artists™. Some people are more acquisitive than I am; I’m not judging, but it’s not me.

When I look at YouTube’s shiny AI muse and think, thanks, but no; I’d rather derail the trolley myself.

MEOW GPT FeedbackOn Testing MEOW GPT (And the Delicate Souls It Might Upset)

3–4 minutes

A surprising number of people have been using the MEOW GPT I released into the wild. Naturally, I can’t see how anyone is actually using it, which is probably for the best. If you hand someone a relational ontology and they treat it like a BuzzFeed quiz, that’s on them. Still, I haven’t received any direct feedback, positive or catastrophic, which leaves me wondering whether users understand the results or are simply nodding like priests reciting Latin they don’t believe.

Audio: NotebookLM summary podcast of this topic.

The truth is uncomfortable: if you haven’t grasped the Mediated Encounter Ontology (of the World), the outputs may feel like a philosophical brick to the face. They’re meant to; mediation has consequences. I’m even considering adding a warning label:

Below is a sampling of the concepts I tested while inspecting the system’s behaviour. I’m withholding the outputs, partly to avoid influencing new users and partly to preserve your dignity, such as it is.

  • authenticity
  • anattā (Buddhist)
  • character (in Aristotle’s virtue-ethical sense)
  • consciousness
  • dignity
  • freedom
  • hózhó (Navajo)
  • justice
  • karma
  • love
  • progress
  • ren ( 仁 )
  • table
  • tree
  • truth

I may have tried others, depending on how irritated I was with the world at the time.

(Now that I think of it, I entered my full name and witnessed it nearly have an aneurysm.)

My purpose in trying these is (obviously) to test the GPT. As part of the test, I wanted to test terms I already considered to be weasel words. I also wanted to test common terms (table) and terms outside of Western modalities. I learned something about the engine in each case.

Tables & Trees

One of the first surprises was the humble ‘table’ which, according to the engine, apparently moonlights across half of civilisation’s conceptual landscape. If you input ‘table’, you get everything from dinner tables to data tables to parliamentary procedure. The model does exactly what it should: it presents the full encounter-space and waits for you to specify which world you meant to inhabit.

The lesson: if you mean a table you eat dinner on, say so. Don’t assume the universe is built around your implied furniture.

‘Tree’ behaves similarly. Does the user mean a birch in a forest? A branching data structure? A phylogenetic diagram? MEOW GPT won’t decide that for you; nor should it. Precision is your job.

This is precisely why I tested ‘character (in Aristotle’s virtue-ethical sense)’ rather than tossing ‘character’ in like a confused undergraduate hoping for luck.

Non-Western Concepts

I also tested concepts well outside the Western philosophical sandbox. This is where the model revealed its real strength.

Enter ‘karma’: it promptly explained that the Western reduction is a cultural oversimplification and – quite rightly – flagged that different Eastern traditions use the term differently. Translation: specify your flavour.

Enter ‘anattā’: the model demonstrated that Western interpretations often reduce the concept to a caricature. Which, frankly, they do.

Enter ‘hózhó’: the Navajo term survives mostly in the anthropological imagination, and the model openly described it as nearly ineffable – especially to those raised in cultures that specialise in bulldozing subtlety. On that score, no notes.

Across the board, I was trying to see whether MEOW GPT would implode when confronted with concepts that resist neat Western categorisation. It didn’t. It was annoyingly robust.

Closing Notes

If you do try the MEOW GPT and find its results surprising, illuminating, or mildly offensive to your metaphysical sensibilities, let me know – and tell me why. It helps me understand what the engine does well and what illusions it quietly pops along the way. Your feedback may even keep me from adding further warning labels, though I wouldn’t count on it.