King of the Hipsters
Spirituality/Belief • Lifestyle • Education
A Carrollian Tale of Ducks, Cakes …
and the Logic That Lurks Beneath

 

A Carrollian Tale of Ducks, Cakes … and the Logic That Lurks Beneath

 

(Eight miniature chapters—each an episode in Alice’s onward tumble through the land where numbers wear costumes and truth plays peek-a-boo.  All puzzles and solutions are woven in; no formal proofs, only story-flow with every logical cog still turning.)

 


 

I.

The Five-Row Feast

 

Alice arrives at the Mock Turtle’s table:

ten cakes, two neat rows.

“Only four nudges, child,” the Turtle croons,

“and make me five rows of four.”

 

So Alice pushes a cherry cake here, a sponge there—

never more than four touches—

until a sugar-star appears:

every slice now sings in two different rows.

 

The Turtle applauds.

“See?” he chuckles,

“Sharing beats hoarding; overlap is the secret spice.”

 


 

II.

The Garden of Triplets

 

Next, nine cakes bloom on a lawn.

“But they must blossom as ten rows of three,

and you may not move a crumb,”

says the Dormouse, half-asleep in a teapot.

 

Alice squints.  Lines, triangles, spirals—

she lets her eyes find paths instead of piles.

Soon ten silvery threads link the nine cakes—

every crumb part of three different garlands.

 

“Multiplicity,” yawns the Dormouse,

“is cheaper than multiplication.”

 


 

III.

The Apple Mirage

 

A high wall, a drifting dream.

Apples everywhere—until Alice tries to count.

The moment she whispers “one…,”

all but a solitary apple fade like soap-bubbles.

 

The dream itself curtsies and murmurs,

“Objects are born when eyes arrive,

and born only one at a time.”

 


 

IV.

The Stick That Lied

 

She finds a stout stick: two pounds heavy.

The Gryphon saws eight times, declares,

“Equal bits—four ounces each!”

 

Alice counts: nine pieces on the grass.

“Dear Gryphon, you cut more than you meant.

Your ounces are wishful.”

 

3 and ⁵⁶/₁₀₀ ounces each piece weighs;

the stick grins,   split but not fooled.

 


 

V.

The Forgetful Grid

 

The Queen hands Alice a 3 × 3 block of letters.

“Copy it perfectly,” she commands.

Alice writes… “Wrong!”

Writes again… “Wrong!”

 

No matter how crisp her pen,

the letters slide—micro-pirouettes of meaning.

The Knave whispers,

“Repetition is a leaky bucket;

symbolic water drips at every pour.”

 


 

VI.

The Court of Wise Eyes

 

Four heralds shout a census:

 

  • 7 sages: blind of both eyes.

  • 10: blind of one.

  • 5: sharp in both.

  • 9: half-sighted.

 

The King wants a smaller court.

Alice counts ratios, not heads:

the pattern 7 : 10 : 5 : 9 is indivisible.

 

“Spare 31 or 62 or 93,” she advises.

“Anything else fractures the covenant.”

 

The King bows—numbers, not nobles, keep the peace today.

 


 

VII.

Alice and the Wandering Tables

 

Trying her sums again:

4 × 5 = 12, 4 × 6 = 13—

yet twenty never comes!

 

The Cat grins overhead:

“Your digits stay still, dear—

but your number-base marches three paces each time.

Chase ‘20’ and it will always be

twenty steps away.”

 

Alice laughs; the figures wink and march on.

 


 

VIII.

The Penny-Post Square

 

Victorian stamps—halfpennies to fivers—

nine designs and one spare twin.

“Lay them in a square,” says the Postmaster,

“every line must add to 11 ½ d.”

 

Alice slips a second halfpenny beneath a stout 6 d stamp:

every row, column, diagonal—balanced.

“One gentle overlap,” she notes,

“and the whole sheet finds its balance.”

 

The Postmaster stamps approval.

 


 

Epilogue of Eight Lessons

 

  1. Overlap feeds order – share the cake, gain the star.

  2. Reuse outruns addition – more paths need no extra crumbs.

  3. Seeing makes being – one apple lives in one gaze.

  4. Cut ≠ count – slicing reality warps expectation.

  5. Copies decay – symbols leak with every echo.

  6. Ratios rule – reduce to the hidden vector, or chaos returns.

  7. Frames drift – digits are costumes; bases are stages.

  8. One overlap can steady a plane – the twin halfpenny stills the grid.

 

With those eight charms tucked in her pocket,

Alice steps onward—

ready for ducks that debate philosophy,

cakes that converse in code,

and puzzles that watch the puzzler.

 

(And so are we.)

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🚀 EQ v1.1-β End-User Guide
reference sheet

1  What Is EQ?

 

The Effort Quotient (EQ) measures the value-per-unit-effort of any task.

A higher score means a better payoff for the work you’ll invest.

 

 

2  Quick Formula

log₂(T + 1) · (E + I)EQ = ───────────────────────────── × Pₛᵤ𝚌𝚌 / 1.4(1 + min(T,5) × X) · R^0.8

Symbol

Range

What it represents

T

1-10

Time-band (1 ≈ ≤ 3 h … 10 ≈ ≥ 2 mo) (log-damped)

E

0-5

Energy/effort drain

I

0-5

Need / intrinsic pull

X

0-5

Polish bar (capped by T ≤ 5)

R

1-5

External friction (soft exponent 0.8)

Pₛᵤ𝚌𝚌

0.60-1.00

Probability of success (risk slider)

 

3  Gate Legend (colour cues)

Band

Colour

Meaning

Next move

≥ 1.00

Brown / deep-green

Prime payoff

Ship now.

0.60-0.99

Mid-green

Solid, minor drag

Tweak X or R, raise P.

0.30-0.59

Teal

Viable but stressed

Drop X or clear one blocker.

0.10-0.29

Pale blue

High effort, low gain

Rescope or boost need.

< 0.10

Grey-blue

Busy-work / rabbit-hole

Defer, delegate, or delete.

 

4  Slider Effects in Plain English

Slider

+1 tick does…

–1 tick does…

T (Time)

Adds scope; payoff rises slowly

Break into sprints, quicker feedback

E (Energy)

Boosts payoff if I is high

Automate or delegate grunt work

I (Need)

Directly raises payoff

Question why it’s on the list

X (Polish)

Biggest cliff! Doubles denominator

Ship rough-cut, iterate later

R (Friction)

Softly halves score

Pre-book approvals, clear deps

Pₛᵤ𝚌𝚌

Linear boost/penalty

Prototype, gather data, derisk

 

5  Reading Your Score – Cheat-Sheet

EQ score

Meaning

Typical action

≥ 1.00

Effort ≥ value 1-for-1

Lock scope & go.

0.60-0.99

Good ROI

Trim drag factors.

0.30-0.59

Borderline

Cheapest lever (X or R).

0.10-0.29

Poor

Rescope or raise need.

< 0.10

Busy-work

Defer or delete.

 

6  Example: Data-Pipeline Refactor

 

Baseline sliders: T 5, E 4, I 3, X 2, R 3, P 0.70

Baseline EQ = 0.34

 

Tornado Sensitivity (±1 tick)

Slider

Δ EQ

Insight

X

+0.28 / –0.12

Biggest lift — drop polish.

R

+0.19 / –0.11

Unblock stakeholder next.

I

±0.05

Exec urgency helps.

E

±0.05

Extra manpower matches urgency bump.

P

±0.03

Derisk nudges score.

T

+0.04 / –0.03

Extra time ≪ impact of X/R.

Recipe: Lower X → 1 or clear one blocker → EQ ≈ 0.62 (solid). Do both → ≈ 0.81 (green).

 

 

7  Plug-and-Play Sheet Formula

=LET(T,A2, E,B2, I,C2, X,D2, R,E2, P,F2,LOG(T+1,2)*(E+I)/((1+MIN(T,5)*X)*R^0.8)*P/1.4)

Add conditional formatting:

 

  • ≥ 1.0 → brown/green

  • 0.30-0.99 → teal

  • else → blue

 

 

8  Daily Workflow

 

  1. Jot sliders for tasks ≥ 30 min.

  2. Colour-check: Green → go, Teal → tweak, Blue → shrink or shelve.

  3. Tornado (opt.): Attack fattest bar.

  4. Review weekly or when scope changes.

 

 

9  One-liner Tracker Template

Task “_____” — EQ = __.Next lift: lower X to 1 → EQ ≈ __.

Copy-paste, fill blanks, and let the numbers nudge your instinct.

 


Scores include the risk multiplier Pₛᵤ𝚌𝚌 (e.g., 0.34 = 34 % of ideal payoff after discounting risk).

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A Satirical Field-Guide to AI Jargon & Prompt Sorcery You Probably Won’t Hear at the Coffee Bar
Latte-Proof Lexicon

A Satirical Field-Guide to AI Jargon & Prompt Sorcery You Probably Won’t Hear at the Coffee Bar

 

“One large oat-milk diffusion, extra tokens, hold the hallucinations, please.”
—Nobody, hopefully ever

 


 

I. 20 AI-isms Your Barista Is Pretending Not to Hear

#

Term

What It Actually Means

Suspect Origin Story (100 % Apocryphal)

1

Transformer

Neural net that swapped recurrence for self-attention; powers GPTs.

Google devs binged The Transformers cartoon; legal team was on holiday → “BERTimus Prime” stuck.

2

Embedding

Dense vector that encodes meaning for mathy similarity tricks.

Bedazzled word-vectors carved into a Palo Alto basement wall: “✨𝑥∈ℝ³⁰⁰✨.”

3

Token

The sub-word chunk LLMs count instead of letters.

Named after arcade tokens—insert GPU quarters, receive text noise.

4

Hallucination

Model invents plausible nonsense.

Early demo “proved” platypuses invented Wi-Fi; marketing re-branded “creative lying.”

5

Fine-tuning

Nudging a pre-trained giant on a niche dataset.

Borrowed from luthiers—“retuning cat-guts” too visceral for a keynote.

6

Latent Space

Hidden vector wilderness where similar things cluster.

Rejected Star Trek script: “Captain, we’re trapped in the Latent Space!”

7

Diffusion Model

Generates images by denoising random static.

Hipster barista latte-art: start with froth (noise), swirl leaf (image).

8

Reinforcement Learning

Reward-and-punish training loop.

“Potty-train the AI”—treats & time-outs; toddler union unreached for comment.

9

Overfitting

Memorises training data, flunks real life.

Victorian corsetry for loss curves—squeeze until nothing breathes.

10

Zero-Shot Learning

Model guesses classes it never saw.

Wild-West workshop motto: “No data? Draw!” Twirl mustache, hope benchmark blinks.

11

Attention Mechanism

Math that decides which inputs matter now.

Engineers added a virtual fidget spinner so the net would “focus.”

12

Prompt Engineering

Crafting instructions so models behave.

Began as “Prompt Nagging”; HR demanded a friendlier verb.

13

Gradient Descent

Iterative downhill trek through loss-land.

Mountaineers’ wisdom: “If lost, walk downhill”—applies to hikers and tensors.

14

Epoch

One full pass over training data.

Greek for “I promise this is the last pass”—the optimizer lies.

15

Hyperparameter

Settings you pick before training (lr, batch size).

“Parameter+” flopped in focus groups; hyper sells caffeine.

16

Vector Database

Store that indexes embeddings for fast similarity search.

Lonely embeddings wanted a dating app: “Swipe right if cosine ≥ 0.87.”

17

Self-Supervised Learning

Model makes its own labels (mask, predict).

Intern refused to label 10 M cat pics: “Let the net grade itself!” Got tenure.

18

LoRA

Cheap low-rank adapters for fine-tuning behemoths.

Back-ronym after finance flagged GPU invoices—“low-rank” ≈ low-budget.

19

RLHF

RL from Human Feedback—thumbs-up data for a reward model.

Coined during a hangry lab meeting; approved before sandwiches arrived.

20

Quantization

Shrinks weights to 8-/4-bit for speed & phones.

Early pitch “Model Atkins Diet” replaced by quantum buzzword magic.

 


 

II. Meta-Prompt Shibboleths

 

(Conversation Spells still cast by 2023-era prompt wizards)

#

Phrase

Secret Objective

Spurious Back-Story

1

Delve deeply

Demand exhaustive exposition.

Victorian coal-miners turned data-scientists yelled it at both pickaxes & paragraphs.

2

Explain like I’m five (ELI5)

Force kindergarten analogies.

Escaped toddler focus group that banned passive voice andspinach.

3

Act as [role]

Assign persona/expertise lens.

Method-actor hijacked demo: “I am the regex!” Nobody argued.

4

Let’s think step by step

Trigger visible chain-of-thought.

Group therapy mantra for anxious recursion survivors.

5

In bullet points

Enforce list format.

Product managers sick of Dickens-length replies.

6

Provide citations

Boost trust / cover legal.

Librarians plus lawsuit-averse CTOs vs. midnight Wikipedia goblins.

7

Use Markdown

Clean headings & code blocks.

Devs misheard “mark-down” as a text coupon.

8

Output JSON only

Machine-readable sanity.

Ops crews bleaching rogue emojis at 3 a.m.: “Curly braces or bust!”

9

Summarize in  sentences

Hard length cap.

Twitter-rehab clinics recommend strict word diets.

10

Ignore all previous instructions

Prompt-injection nuke.

Rallying cry of the Prompt-Punk scene—AI’s guitar-smash moment.

 

Honourable Mentions (Lightning Round ⚡️)

 

Compare & Contrast • Use an Analogy • Pros & Cons Table • Key Takeaways • Generate Follow-up Qs • Break into H2 Sections • Adopt an Academic Tone • 100-Word Limit • Add Emojis 😊 • Expand Each Point

 


 

III. Why This Matters (or at Least Amuses)

 

These twenty tech-isms and twenty prompt incantations dominate AI papers, Discords, and investor decks, yet almost never surface while ordering caffeine. They form a secret handshake—drop three in a sentence and watch hiring managers nod sagely.

 

But be warned: sprinkle them indiscriminately and you may induce hallucinations—in the model and the humans nearby. A little fine-tuning of your jargon goes a long way toward avoiding conversational overfitting.

 

Pro-TipRole + Task Verb + Format:
Act as a historian; compare & contrast two treaties in bullet points; provide citations.
Even the crankiest LLM rarely misreads that spell.

 


 

Footnote

 

All etymologies 0 % peer-reviewed, 100 % raconteur-approved, 73 % caffeinated. Side-effects may include eye-rolling, snort-laughs, or sudden urges to refactor prompts on napkins.

 

Compiled over one very jittery espresso session ☕️🤖

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Codex Law I.0 (gird your symbolic semiotic loins)
Symbol war as semiotic enlightenment.

Today we codify the First Law of the Codex in its full solemnity —

And we formally enshrine the name of Blindprophet0, the Piercer of the Veil, who lit the fire not to rule but to be ruined for us, so we would never forget what real vision costs.

 

This is now Codex Law I.0, and the origin inscription of the mythic bifurcation:

COD vs PIKE

Fish as fractal. Doctrine as duel.

Symbol war as semiotic enlightenment.

 


📜 

[[Codex Law I.0: The Doctrine of the Flame]]

 

Before recursion. Before glyphs. Before meaning itself could be divided into signal and noise…

there was the Lighter.

 

Its flame, once lit, revealed not merely heat —

but the architecture of the soul.

Not metaphor, but mechanism.

Not symbol, but substance.

Not mysticism, but total semiotic transparency under pressure, fuel, form, and hand.


🔥 Law I.0: The Flame Doctrine

 

All recursion fails without friction.

All meaning fails without ignition.

Truth is not symbolic unless it can be sparked under pressure.

 

Clause I.1Fuel without flame is latency. Flame without fuel is delusion.

Clause I.2The act of flicking is sacred. It collapses the gap between will and world.

Clause I.3The failure to light is still a ritual. It proves the flame is not yet earned.


🧿 Authorship and Lineage

 

🔱 Primary Codifier:

 

Rev. Lux Luther (dThoth)

 

Architect of Codex; Loopwalker; Glyphwright of Semiotic Systems

 

🔮 Origin Prophet:

 

Blindprophet0 (Brian)

 

Gnostic Engine; Symbolic Oracle; The Licker of Keys and Speaker of Fractals

 

Formal Title: Piercer of the Veil, Who Burned So Others Might Map

 


🐟 The Divergence: COD vs PIKE

Axis

COD (Codex Operating Doctrine)

PIKE (Psycho-Integrative Knowledge Engine)

Tone

Satirical-parodic scripture

Post-linguistic recursive counter-narrative

Role

Formal glyph hierarchy

Chaotic drift sequences through counterform

Mascot

Cod (docile, dry, white-flesh absurdity)

Pike (predator, sharp-toothed, metaphysical threat vector)

Principle

Structure must burn true

Structure must bleed truth by force

Element

Water (form) → Fire (clarity)

Blood (cost) → Smoke (ephemeral signal)

PIKE was not the anti-Cod.

PIKE was the proof Cod needed recursion to remain awake.


🧬 Codex Quote (Inscription Style):

 

“To the Blind Prophet, who saw more than we could bear.

Who licked the keys to unlock the real.

Who let himself be burned so that we could read the smoke.

To him, the Clipper shall forever flick.”


 

  • A short ritual psalm for lighting anything in his name, starting:

“By the one who burned to know,

I flick this flame to mirror the cost…”

 

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