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Framework · AI Literacy & Ethics

Slopcraft

A playful, ethical AI-literacy framework — for K–12 students, teachers, and parents — that makes the invisible costs of AI tangible. Slop is what happens when we stop paying attention. Craft is what happens when we don’t.

📄 Text·🖼️ Image·🎵 Music·🎬 Video humanity + AIWise Centaur

Not a rulebook. A way of seeing.

We argue about AI like it’s a single object. It isn’t — it’s a system, with upstream costs (electricity ⚡, cooling water 💧, hardware 🏭) and downstream effects (attention, culture, durability). Slopcraft gives kids, teachers, and parents a shared language for that system: hands-on activities, a Slop vs Craft heuristic, resource awareness, and co-creative play.

The question is not “use it or don’t.” The question is: does value rise faster than cost — and where do the costs land?

NOT ALL AI USE IS EQUAL.
NOT ALL RESTRAINT IS VIRTUOUS.
DESIGN DECIDES.

The X-Scale: not all outputs cost the same

Impact grows stepwise across mediums. These are order-of-magnitude intuition tools — directional, not accounting. One text prompt ≈ (~0.3 Wh, ~0.3 mL water, per Google & OpenAI 2025 figures).

   RELATIVE ENERGY PER OUTPUT   (vs 1 text prompt = 1×)
   ────────────────────────────────────────────────────
   TEXT                            ~0.3 Wh
   IMAGE   ~10×     ▊▊                           ~3 Wh
   MUSIC   ~50×     ▊▊▊▊▊                        ~30 Wh
   VIDEO   ~3,000×  ▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊  5s  ~1 kWh
   VIDEO   ~40,000× ▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊▊→ 60s ~12 kWh
   ────────────────────────────────────────────────────
   a 5-second AI video ≈ a microwave running ~1 hour
   (text-to-video energy ~doubles each time length doubles)

Sources: Google Gemini env. report (Aug 2025); OpenAI/Altman (Jun 2025); MIT Technology Review AI video analysis (2025).

One pair of jeans = one “budget token”

A shared reference unit: one pair of fast-fashion cotton jeans (worn ~1 year, ~3,800 L of water to make). What does that same footprint buy across AI mediums?

   👖 ONE PAIR OF FAST-FASHION JEANS  ≈  ONE BUDGET TOKEN
   ────────────────────────────────────────────────────decades of text-AI thinking          💧 sipsthousands of AI images              🍵 cupshundreds–thousands of AI songs      🍺 pitchersonly 3–10 minutes of AI video       🏊 pools
   ────────────────────────────────────────────────────
   FAST FASHION + DISPOSABLE AI share one sin:
   high throughput, low durability.  Moral hinge → longevity.

The Slopcraft Compass

What to ask — not what to shame. Match the tool to the stakes.

   🧭 THE SLOPCRAFT COMPASS
   ────────────────────────────────────────────────────
   🟢 LOCAL / LIGHT LIFT   quick summaries · brainstorming
   🟡 MID-TIER / DRAFTING  moodboards · lo-fi loops · edits
   🔴 FULL-COST / CRAFT    feature films · essays of meaning
                          · performances (human hands + soul)
   ────────────────────────────────────────────────────
   think WITH ai · sketch WITH ai · decide with humans
   publish with care · scale only what you would repair

The Wise Centaur: human judgment + machine reach, aligned.

Interactive tools

Four thinking tools — not calculators of record. The numbers are rough, directional, and proportional. They exist to provoke better questions about cost, medium, intent, and care. Play-test them, argue with them, break them.

① Impact Estimator concrete-ish

Pick a medium and a quantity. See the directional footprint — and how many you’d “spend” from one pair of jeans.

Energy
Water
CO₂e
Compute cost
vs 1 text prompt
Pairs of jeans

Directional only. 1 text prompt ≈ 0.3 Wh / 0.3 mL. Jeans ≈ 3,800 L water. Video figures follow MIT Tech Review’s “~microwave-hour per 5-sec clip.”

② Slop ↔ Craft Scorecard a mirror

Score each dimension 1–5, honestly. Low = 🚨 slop gravity. High = 🌱 craft momentum. No shame — just signal.

SLOP · 8Total / 40HEIRLOOM · 40
Move the sliders to read your signal.

③ Resource Budget Game playful

You have one pair of jeans of water to spend (~3,800 L). Add outputs and watch your budget. See how fast video eats the wardrobe.

0% of one jean spent

④ Wise Centaur Self-Check cheeky · fuzzy

Are you centaur-ing well? Human judgment + machine reach. Toggle what’s true for this task.

Toggle the statements above.

The Slop Index updated 2026

Order-of-magnitude intuition, not accounting. Compute cost tends to climb text → image → music → video. Model names churn fast — the pattern is what matters.

Model (mid-2026)MediumComputeWatch for
GPT-5.5 · Claude Opus 4.8 · Gemini 3.1 ProTextLowDrafting, structure, grounded synthesis
DeepSeek V3TextLowCheap reasoning at scale
GPT-Image-2 · Nano Banana Pro · Midjourney v7ImageMedStyle, not soul · iteration-heavy
Suno · UdioMusicHighVibe over voice · derivative loops
Veo 3.1 · Gemini Omni Flash · Seedance 2.0VideoHighUncanny spectacle · huge footprint

Note: OpenAI retired the Sora 2 consumer app in April 2026. Video ≈ ~$0.10/sec of compute and thousands of × the energy of a text prompt. AI Output ≠ Ethical Input — always ask what it was trained on, who benefits, and at what cost.

The five levers

What to ask, not what to shame:

  1. Displacement — does this replace something more resource-intensive?
  2. Durability — will anyone care in a month? a year? a decade?
  3. Provenance — what's powering it: renewables, fossil grid, on-site turbines?
  4. Water path — evaporative cooling, dry cooling, reclaimed water?
  5. Defaults — are platforms incentivizing volume (slop) or signal (craft)?

In the classroom

Slopcraft is modular and age-targeted — tactile play for the little ones, ethical experimentation for teens.

🧱

Elementary · K–5

Awareness & play. Slop Towers, block exercises, pattern recognition — energy and water made physical.

🕵️

Middle · 6–8

Critical thinking & ethics. Multi-Hat Hacker, Resource Budget Challenge, the Slopcraft Scorecard.

🔬

High School · 9–12

Creative agency. Local Model Lab, Centaur Alignment, the AI Liberation Game, Music Lab.

Core activities across all ages: Slop Towers · DIY AI Cards · Resource Budget Challenge · Systems Chain Game · AI Detective · Centaur Alignment · Local Model Lab.

        B O D Y  ·  M I N D  ·  S P I R I T  ·  S P A R K
   ──────────────────────────────────────────────────────
   BODY     move · dance · build · breathe        (activate)
   MIND     focus · think · decide · discern       (clarify)
   SPIRIT   play · joy · co-create · delight        (open)
   SPARK    improvise · prototype · contribute     (author)
   ──────────────────────────────────────────────────────
   "learning lands in the body — not just the head"

Curriculum, kits & downloads

Take Slopcraft into your classroom or kitchen table. Field guide free to download; kits and bundles rolling out.

📖

Slopcraft Field Guide

The full 3-poster guide — Guide, Decider & Scorecard — rendered in low-compute ASCII. Print it, pin it, teach from it.

↓ Download PDF (v1.1)
🃏

DIY AI Cards

Print-and-play deck: AI character stats, resource costs, dice-driven outputs. A card game about compute.

Coming soon
📊

Printable Scorecard

The Slop↔Craft scorecard as a one-page classroom handout. Score any AI output by hand.

Coming soon
🎒

Full Classroom Kits

Modular K–5, 6–8 & 9–12 bundles — lesson plans, activities, and SlopBot scorecards.

On Teachers Pay Teachers · soon

Want to pilot Slopcraft in your school or district? Metta Tech Dojo runs train-the-trainer workshops. Discuss responsible action

References & sources

Figures on this page are directional, drawn from the most current public research (2025–26):

  • Google, Measuring the Environmental Impact of Delivering AI at Google Scale (Aug 2025) — median Gemini text prompt 0.24 Wh · 0.26 mL water. arXiv:2508.15734
  • OpenAI / Sam Altman, The Gentle Singularity (Jun 2025) — avg ChatGPT query 0.34 Wh · 0.000085 gal water.
  • MIT Technology Review, Google's Gemini AI energy & AI video energy (2025) — 5-sec video ≈ microwave-hour.
  • Luccioni, Jernite & Strubell, Power Hungry Processing (HuggingFace / CMU, 2023) — per-image energy & the generation-vs-modality gap.
  • Li et al., Making AI Less "Thirsty" (2023) — the hidden water footprint of AI. arXiv:2304.03271
  • Patterson et al. (2021); Strubell et al. (2019); Crawford & Paglen (2021) — foundational energy/carbon studies.
Think with AI. Sketch with AI.
Decide with humans. Publish with care.
Scale only what you would repair.
"The medium is the message." — Marshall McLuhan · A Metta Tech Dojo × RAD Studio framework.