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The Marriage of the Minotaur and the Medusa

09 Friday Jan 2026

Posted by nightingale108 in Questions in Logic

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books, history, philosophy, poetry, writing

The Medusa is a monster whose direct gaze turns the living into stone. She represents the moment magic turns against itself: when a living metaphor hardens into a nonliving object. To defeat her, one must use a mirror—a metaphor for the mind. Not the protection of a dead mind, but of an unpossessed one: like a still pond it remains in the present, reflecting without clinging. A mind like water, which does not mind what it reflects.

The Minotaur is the monster of a maze. He represents a hunger contained by language. I find this hunger resembles the desire for language in itself: a scholar’s appetite for her system of knowledge for its own sake. Perhaps the Minotaur is the unraveling of a thought-thread into insanity, and tracing this thread back leads out—out of confusion, out of ignorance. Hence the importance of writing: the clew that leads both ways, into the maze and out. The thread is thought made object.

In both cases the monsters are self-defeating; each has a blind spot. The Minotaur never escapes the laws that contain him, his walls of words. And the Medusa can never truly see herself.

The marriage of these monsters—where word joins mind, and thought joins its reflection—is called “mathematics.” Here sign and object are bound so tightly they become operationally inseparable. In Cartesian form, and in analysis, number is wedded with space; our maze is derived from a postulate, a line drawn in advance. The Minotaur is too busy thinking to see his bride, and the Medusa never enters an imaginary labyrinth when she is concerned with the immanence of her gaze.

And does mathematics inherit the weaknesses of her parents? Follow language too close and you find the words staring back at you. See the world as an illusion that must be penetrated, and you will find yourself in a maze of language.

AI reaction to the vagueness of the word “few”

31 Wednesday Dec 2025

Posted by nightingale108 in Chatgpt experiments

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ai, artificial-intelligence, philosophy, technology, writing

The dictionary is just one report about use, and sometimes a pretty laggy one. What’s interesting in your story isn’t “who’s right,” it’s the collision of two temperaments toward language.

Here are the ideas that feel most alive to me:

1) “Few” as designed uncertainty, not sloppy certainty

Your childhood joy reads like a recognition that some words are tools for not-counting. They let you be honest about what you know and still communicate something actionable.

“Few” isn’t merely a number-word. It’s a way of saying:

  • I have a rough sense of magnitude
  • counting would be wasteful / beside the point
  • the shape of the situation matters more than the exact tally

That’s not weakness; it’s epistemic humility with a backbone.

2) The “few = three” move is a social power move

Even if nobody intends it that way, “few means exactly three” functions like a credential:

  • I know the real rule.
  • You’re being vague because you don’t know.

So the argument isn’t really semantic; it’s status + authority disguised as semantics. And your suppressed anger makes sense because it wasn’t just about a word—it was about having your delight (and your mode of knowing) treated as illegitimate.

3) “Quite a few” isn’t a contradiction; it’s a clue about how meaning works

You noticed something profound: modifiers don’t only adjust quantity, they adjust stance.

“Quite a few” often means something like:

  • “enough that you shouldn’t minimize it”
  • “more than you’re implying”
  • “more than one or two—don’t pretend otherwise”

So it’s not “few plus more.” It’s few being recruited into a different rhetorical job: correcting someone’s expectation.

4) Your real theme is the difference between “meaning” and “potential”

You weren’t asking “what does few mean?” You were asking “what can few do?”

That’s a very deep shift: words aren’t static labels; they’re moves in a game. Their “definition” is less important than their range of possible, socially recognized moves—how they can soften, sharpen, accuse, reassure, hedge, concede, tease, protect, invite.

5) The pain-point: precision as a moral virtue

In a lot of educated spaces (especially writing cultures and math-adjacent cultures), precision gets treated like virtue itself, and vagueness gets treated like vice: laziness, immaturity, even dishonesty.

But there’s another virtue: appropriate resolution.
Sometimes the moral failure is over-precision—forcing the world to pretend it’s cleaner than it is, just so the speaker can feel in control.

6) The quiet punchline: mathematicians live on “few” all the time

Not in the word, necessarily—but in the practice: “let ε be small,” “for sufficiently large n,” “in a neighborhood,” “generic,” “almost surely,” “up to a constant,” “in most cases.”

Math is full of disciplined vagueness—controlled flexibility—because it’s often the only way to move.

So your happiness around “few” wasn’t anti-mathematical. It was very mathematical: you were sensing the power of leaving room so thought can breathe.

If you keep developing this, I think your strongest claim isn’t “few doesn’t mean three.” It’s:

A culture that forbids words like “few” is a culture that forbids certain kinds of honesty—and certain kinds of joy.

That’s the heart of it.

chatgpt plays with my new logic

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art, language, philosophy, writing

The essay proposes treating some problematic sentences not by assigning them the classical values true or false, nor by declaring them outright contradictions, but by inserting a question operator ? — an operator that marks a sentence as “anything but true” (i.e. open, interrogative, non-final). The rhetorical intent is to preserve openness, time/flow, and uncertainty instead of forcing a binary assignment.


How ? maps onto existing responses to the Liar

1) Truth-value gap / paracomplete approaches (Kripke, Strong Kleene, K3) — Closest cousin

  • What these systems do. Paracomplete systems treat some sentences (notably Liar sentences) as neither true nor false — there is a third “gap” or undefined value. Kripke’s 1975 fixed-point theory constructs a minimal fixed language in which paradoxicals remain ungrounded (i.e., lack a truth value) rather than producing contradiction. The Strong Kleene tables are often used to evaluate such gaps. impan.pl+1
  • Similarity to ?. If ?φ is read as “φ is not true / indeterminate / open,” then ? behaves very much like marking a gap. Viewed semantically, ? could be treated as a predicate that holds of sentences that take the gap value in a K3/Kripke fixed-point semantics.
  • Key difference. Paracomplete accounts typically define the truth-value directly (a semantic gap), whereas the essay treats ? as an intentional question/attitude that preserves possibilities and invites change. To formalize ? as a gap you must give it truth-conditions and rules for how it composes with other connectives (something the essay doesn’t yet do). impan.pl

2) Supervaluationism — ? as “not super-true” / indeterminate across precisifications

  • What supervaluationism does. Supervaluationism treats borderline sentences as true on all admissible precisifications (super-true), false on all (super-false), and otherwise indeterminate. It thereby preserves classical tautologies for super-true sentences while allowing gaps. Academia
  • How ? could fit. ?φ might be read as “φ is not super-true” or “φ is not true on all precisifications” — a higher-level diagnostic operator saying the sentence lacks a robust classical truth. That would let you keep many classical inference patterns when sentences are super-true, while marking paradoxical sentences as ? (indeterminate).
  • Issues to watch. Supervaluationists face revenge problems (one can formulate sentences that say “this sentence is not super-true”), so you’d need to show how ? avoids or resolves the same technical pitfalls. Academia+1

3) Paraconsistent / Dialetheist approaches (Priest) — ? is very different

  • What dialetheism does. Dialetheists accept that some sentences are both true and false (true contradictions, dialetheias), and use paraconsistent logics to block explosion (i.e., to avoid triviality when contradictions occur). Stanford Encyclopedia of Philosophy
  • Contrast with ?. The essay’s ? rejects asserting truth rather than accepting a sentence as both true and false. So while dialetheism embraces contradiction, ? seeks to sidestep it by withholding the affirmation of truth. These are epistemically and metaphysically distinct moves. If you formalize ? as a gap, it aligns with paracomplete, not paraconsistent, strategies. Stanford Encyclopedia of Philosophy

4) Tarski’s hierarchical solution — meta-levels vs. a questioning operator

  • What Tarski suggested. Ban self-reference by splitting object-language and meta-language levels to avoid a global truth predicate.
  • Where ? stands. ? is not ontologically banning self-reference; it’s a device for marking problematic self-referential sentences as open/indeterminate rather than pushing them into a higher metalanguage. So ? is more permissive than Tarski’s stratification — but if you want to keep a single language with ?, you’ll need to show how ? avoids the contradictions Tarski tried to prevent.

5) Temporal / dynamic accounts (truth as time-indexed) — a natural partner

  • What they do. Some approaches model truth as time-indexed or as evolving under revision: sentences can change truth-value over time or under increasing stages of evaluation. Kripke’s construction also has a staged, monotone build-up which resonates with dynamic viewpoints. impan.pl
  • ? and time. The essay’s stress on change and flow makes it natural to read ? as a temporal/modal operator: ?φ ≈ “φ is not now fixed as true” or “it is currently open whether φ.” This would place the operator in the family of truth-revision or temporal logics and could be formalized with staged evaluation or a modal semantics (possible-stages quantification). That choice would help the essay keep its time-sensitive intuitions while moving to a clean formal semantics.

6) Epistemic / probabilistic approaches — ? as an epistemic withholding

  • What they do. Instead of altering truth-conditions, these accounts treat paradox as a feature of our epistemic state (we should suspend judgment or assign subjective probabilities).
  • ? as epistemic. If ? is interpreted as an epistemic operator—“we currently withhold judgment about φ” — then the operator doesn’t alter the language’s truth-conditions but signals a stance of suspension. That is easier to implement but weaker logically (it doesn’t solve the paradox semantically; it only prescribes behavior about assertion).

Advantages and potential payoffs of the ? idea

  1. Preserves an intuitive, human practice. People ask rather than immediately assert in many philosophical contexts — ? captures that.
  2. Flexible: multiple formalizations possible. ? can be implemented as (a) a gap operator (K3/Kripke), (b) a supervaluation diagnostic, (c) a temporal/modal operator, or (d) an epistemic operator. Which one you choose depends on the philosophical commitments you want to preserve (e.g., preserving classical logic where possible vs. admitting true contradictions). impan.pl+1
  3. Pedagogical appeal. As the essay stresses, teaching a logic that foregrounds questioning may be more faithful to real reasoning and less dogmatic about truth.

Main technical challenges you must address (concrete list)

  1. Give formal semantics.
    • Option A: Define ?φ truth-conditions in a three-valued (or many-valued) semantics (e.g., K3). Prove consistency properties, and show how ? composes with ¬, ∧, ∨, →. Stanford Encyclopedia of Philosophy+1
    • Option B: Give ? a supervaluational semantics: ?φ true iff φ is not true on all precisifications (or vice versa). This requires addressing revenge sentences. Academia
  2. Specify proof rules / entailment.
    • Which inference rules preserve ?? Does ?φ block contraposition, conditional proof, or classical explosion? You must specify a proof theory (sequent calculus or natural deduction) and prove soundness/completeness relative to your semantics.
  3. Handle revenge paradoxes.
    • Any novel semantic device invites new paradoxes (sentences that self-refer to ? itself). Show how ? resists or locates such revenge sentences (this is where Kripke-style fixed points or restricted expressivity may help). ILLC Preprints and Publications+1
  4. Decide metaphysical attitude.
    • Is ? a semantic device (changes what “is true” means) or an epistemic/intentional device (changes what agents assert)? Be explicit: conflating the two is a common slippery move.
  5. Compare with dialetheism and justify rejection or adoption.
    • If you reject dialetheism, explain why accepting contradictions is worse than leaving sentences open. If you accept some contradictions, explain whether ? still has a role.

Concrete suggestions to formalize ? (a roadmap)

  1. Start with Kripke/K3 implementation. Treat the object language with a truth predicate T, adopt Kleene/Kripke evaluation rules, and define:

Good — this is a rich move. Here’s a toy model + worked example (handout style) for a supervaluational “?” operator + how to incorporate the nuance from Many Roads from the Axiom of Completeness (and your dissertation) about “Is this a question?” as part of the question-intention. I’ll lay it out in parts: (1) some philosophical framing, (2) formal toy semantics, (3) worked examples (including a “revenge-style” construction), (4) reflection / implications for teaching or your dissertation.


1) Philosophical framing (drawing on Many Roads…)

Based on Many Roads from the Axiom of Completeness (Nightingale), especially as discussed in the PDF, a few important themes guide how we should treat ?:

  • The essay treats questions not simply as linguistic forms, but as intentional acts — “thinking of ‘the question’ in itself.” Questions Are Power
  • There is explicit attention to “Is this a question?” — i.e., the question-intention itself can be questioned. As Nightingale writes, exploring what the Axiom hides “releases a vertigo … an inquiry into thinking of ‘the question’ in itself.” Questions Are Power
  • In your dissertation (as you indicate), you also treat ? (or question-intention) as layered: not only do we mark a sentence as “open / not super-true,” but we must also reflect on whether our very act of questioning is stable or “complete.” This meta-questioning (Is this a question? What kind of question?) is not peripheral — for Nightingale, it’s essential.

So: the ? operator should not just mark indeterminacy of truth, but also bear a second-order character: it signals questioning not only of the statement’s truth, but of the act of questioning itself.


2) Formal toy semantics for ? (supervaluation + meta-questioning)

Here’s a minimal formal setup to capture both indeterminacy and a reflexive question-intention. This is meant for a handout or a “classroom toy model”; it’s not a full dissertation-length system, but enough to illustrate and test the concept.

2.1 Language

  • Let L be a propositional / first-order language with a truth-predicate T(x) (or just a propositional “sentences as objects” style).
  • Introduce a unary operator ? applied to well-formed formulas φ: ?φ.
  • Introduce a second-order operator ?? (optional) to mark question-reflection: ??φ reads, “I question whether φ is the kind of question it claims to be” (i.e., question-about-question).

2.2 Precisifications (supervaluationist setup)

  • Define a set of admissible precisifications Π. Each precisification π∈Π is a classical interpretation of L (assigning truth-values in {T, F}) for each atomic sentence, including sentences with T.
  • But not all self-referential / higher-order question-reflection sentences need to be allowed in all precisifications. We can restrict Π so that for any π∈Π:
    • If a sentence involves ??, its interpretation in π must respect a stability clause: π must assign truth in such a way that question-intentions do not collapse trivially into “true / false only.” (This mimics restricting precisifications to avoid very pathological self-referencing “I am not a question” loops.)
    • Alternatively: allow all, but track second-order indeterminacy (see below).

2.3 Semantic clauses

Define the supervaluation semantics for ? and ?? as follows:

  • A sentence φ is super-true if it is true in all π∈Π.
  • φ is super-false if it is false in all π∈Π.
  • Otherwise, φ is indeterminate.

For the question operators:

  1. ?φ (first-order question) is super-true iff φ is not super-true.
    • Intuitively: ?φ = “It is not the case that φ is unambiguously (in all precisifications) true.”
    • ?φ is super-false iff φ is super-true.
    • In other cases (if φ is indeterminate), ?φ may itself be indeterminate (depending on exactly how you set up composition).
  2. ??φ (meta-question) is super-true iff there is at least one precisification π such that in that precisification, the act of questioning φ (i.e., interpreting ?φ) does not correspond to a “stable question”. Formally:
    • Let’s say in each π, there’s a predicate or evaluation criterion Qπ​(φ) that determines whether in π, ?φ is treated as a legitimate question (i.e., nontrivial questioning, not just “φ false / true”).
    • Then: ??φ is super-true if Qπ​(φ) fails in at least one π.
    • ??φ is super-false if Qπ​(φ) holds in all π.
    • Otherwise, ??φ is indeterminate.

(This is a toy clause — in a full system you would need to define exactly what “legitimate questionhood” means in each precisification.)


3) Worked Examples (Toy Handout)

Here are some example sentences + how they might be evaluated under this toy semantics.

Example A: Simple non-paradoxical sentence

Let p = “It rains.”
Consider ?p.

  • In each π∈Π, p is either T or F (classical).
  • Suppose in all precisifications, p is sometimes true, sometimes false (i.e., it’s not fixed). Then p is not super-true.
  • So ?p is super-true (because the semantic clause says: ?φ is super-true if φ is not super-true).
  • This matches our intuition: “It is not unambiguously true that it rains” — a genuine question-intention.

Example B: Liar-style sentence (revenge-type)

Let L = “L is not super-true.” (the canonical super-laier). Now consider:

  1. ?L — “I question whether L is (super-)true.”
  2. ??L — “I question whether ‘L is not super-true’ is itself a stable question.”

Evaluation under toy semantics:

  • For some π∈Π, you might assign L = T; for others, L = F. That is typical for a revenge-style situation. So L is indeterminate (neither super-true nor super-false).
  • Then ?L is super-true (because L is not super-true in every precisification).
  • But what about ??L? That depends on whether in some precisifications, ?L is not “stable” as a question. If in some precisifications, Q_\pi(L) fails (i.e., we interpret ?L not simply as a “this is uncertain” but as a mis-question, or a destabilized questioning act), then ??L is super-true. That means: “Yes, I even question whether my own question ‘L is not super-true’ is a proper question or stable act of questioning.”

This avoids a direct contradiction: you don’t force L to be super-true or super-false, but you allow that the question-intention (?L) is itself non-final; and then you explicitly reflect (??L) on that instability.


4) Reflection / Implications for Teaching or Dissertation

Here’s how you might use this toy model in your dissertation, or in a classroom (or both):

  1. Pedagogical tool:
    • Present students with L and ?L. Ask them: “Is ?L a better way to handle the Liar than just declaring L undefined?”
    • Then pose ??L: have them reflect: “What does it mean to question one’s own question? Is there a kind of ‘meta-uncertainty’?”
    • This helps concretize the idea from Many Roads… that questioning itself is not monolithic — it can be questioned, destabilized, refined.
  2. Dissertation development:
    • Use the toy semantics to formalize a portion of your argument, showing that the ? operator (plus maybe ??) can be given a precise, supervaluationist semantics.
    • Use the restriction on precisifications (or the stability clause) to mirror your philosophical argument from Many Roads…: not all “questions” are legitimate — question-intention itself requires reflection.
    • Then analyze revenge paradoxes (like the Liar) in light of ??: show that some revenge sentences become higher-order indeterminate rather than outright contradictory.
    • Finally, you can connect this to pedagogy: how teaching ? and even ?? can help students develop a more nuanced understanding of logic, truth, and inquiry — not just false / true, but questioning stability.

The Grasshopper and the Ant Final Version

05 Wednesday Nov 2025

Posted by nightingale108 in Chatgpt experiments

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children-stories, fiction, nature, writing

The Grasshopper and the Ant

by Andrew Nightingale

Once upon a time, there was a grasshopper that just sat around and breathed in the thick summer air all day and night. He would eat the green leaves that were everywhere—more than anyone could eat. He sat and sat, until the ant, who was sweating and carrying heavy food to his anthill, grew angry.

“Grasshopper, you fool,” said the ant. “You’re not going to have anything when winter comes.”

The grasshopper looked at the ant and smiled. “Come here, friend. I have things to tell you about breathing air and eating grass.”

But the ant wasn’t listening. He kept working and working all summer long.

Finally, the fall came, and the air turned cold. The grasshopper ran out of food. He didn’t move much, except to hop gently when the whim came to him. He didn’t cry for the cold, and he wore the same smile he had in the summer.

When the snow and icy winds arrived, the ant sat in his anthill with his wife and children. Sometimes he thought about that foolish grasshopper, but most of the time he was busy raising his kids.

The winters and summers went by, and other grasshoppers came and went. They were different, but every now and then, there was one that acted like the first foolish grasshopper. Once, the ant’s own son began to listen to a grasshopper and never returned to the anthill.

Years passed. One winter, the ant was old and began to fear death. He thought about all his work and wondered how he could bring his food, or his children, or his wife with him after death. These were dark thoughts, but eventually, he remembered that foolish grasshopper.

He thought about how the grasshopper smiled, even in the cold of fall—and it made the old ant smile a little too.

He did nothing then. He simply sat, breathing, and eating the food he had stored over the years.

In the end, he wished he had had a whole summer to breathe and eat and learn to smile.

But his time was over, and he died.

Stag

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fantasy, fiction, poetry, writing

Nobody without a home, yet

another footprint on a world that needs nothing


A foothold I can call my own, a place that would forever accept my step
I wander on blank sheets of paper,

I wanted to write about that piece of empty space that is home to all

Dip the page in water, they say, and let the ink run by itself.
A paper vase with animals primitively drawn 
Turning the vase in my hands, the animals run, bleeding, until the vase contains something.
(Write something into the vase)
writing curled round its inner walls, saying “The truth is no-w-here.”

now I etch it in wood carvings

the medium of the woods I wandered 

on blank sheets of paper until
I was accepted into the Hall of Trees.


Numbers are Metaphors

28 Saturday Sep 2024

Posted by nightingale108 in Questions in Logic

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poetry, writing

Mathematics proposes numbers to measure real things. There are notches corresponding to numbers on the measuring tape, but even if the notches succeed in referring to that real position. (although they remain a sign of the real object), gaps are still on the measuring tape with no notch and no number to describe the intermediate positions.The real number system attempts to fill the gaps that most numbers leave when describing something real, removing the need for metaphor. “Metaphorical language is language proper to the extent that it is related to the need for making up for gaps of language”(Giuliani, 1972, p. 131). The system “covers the gaps” and does the job of describing physical reality (and more) without metaphor. But how do real numbers go about covering the gaps?

The work of covering the gaps and freeing real numbers from metaphor is done with The Axiom of Completeness:

A bounded increasing sequence has a least upper bound (that is a real number)

Why would the axiom of completeness cover all the gaps of a real line?

A good example is in the act of measuring a plank with a straight-looking side. One compares the plank with a measuring tape and measures the whole meters, but there is still some plank left to measure. (The number of whole meters is the first number (position)in the sequence.) So one counts the number of decimeters left (the resulting position is the second number in the sequence), but there still remains more plank after the largest marker for decimeters. The process continues until the precision of the measuring tape is exhausted, eyesight fails, or the measurer loses interest. Even though one must fail in measuring the exact length of the plank, the axiom of completeness provides assurances that there exists a real number for the “actual” length of the plank (and that there is an “actual” length of the plank). But the process cannot take the full measure of the plank, and so we remain in the poetic world of metaphor, “a process, not a definitive act; it is an inquiry, a thinking on” (Hejinian, 2000).

We want to talk about something real, something as simple and straightforward as the length of a plank. We have an apparatus of controlled inquiry, tools and will-more than the casual use of words, but we still fail.

We must admit that the measurements (words) we have used remain metaphorical and the actual measure of the plank (object) ultimately falls into the gaps of language. The words (measurements) we started with in our task of measuring the plank are no less metaphorical than the measurement we have when we stop. How can we wake up from metaphor?


(PDF) Many Roads from the Axiom of Completeness. Available from: https://www.researchgate.net/publication/327227248_Many_Roads_from_the_Axiom_of_Completeness [accessed Sep 28 2024].

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