TampaBaySkers said:

Cav is a school teacher that uses AI to grade his student’s papers that are also written by AI. Society is doomed

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herbsinator said:

Trust me, that’s where they’re headed already.

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Kazman5k said:

I do

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ChatGPT said:​

Why the huge spread?​

• Training vs inference. Training a large model (one-time) consumes millions of liters; inference (answering your prompt) is much smaller but used repeatedly. arXiv+1
• How water use is counted. Some studies count only on-site cooling water; others add indirect water tied to the electricity used (water used to generate that electricity). Different methods give very different totals. Nature+1
• Data-center efficiency & geography. Cooling tech, local climate, and whether a site uses air or water cooling change water per kWh a lot. Modern efficient sites can have low on-site water use; hot/dry regions often use more water for cooling. EESI+1
• Model size and prompt length. Bigger models and longer responses use more compute, therefore more energy and water per answer. IT Pro

Example numbers from recent analyses​

• Mistral (model lifecycle analysis): ~45 mL of water per 400-token prompt (their measured inference + training allocation). IT Pro
• OECD summary of research: training can consume millions of litres; running GPT-3 inference for 10–50 queries was estimated at roughly 500 mL total (≈10–50 mL per query depending on assumptions). oecd.ai
• Independent estimate / blog checks: some engineers estimate as little as ~5 mL per typical chat for modern, efficient setups (methodologies vary). seangoedecke.com
• Data-center water intensity context: national average indirect water intensity ≈ 4.5 L per kWh (this is liters per kWh of electricity used — you can multiply by the kWh a query consumes to get an estimate). Converting that into mL per query gives the same order-of-magnitude results shown above. LBL ETA Publications

Quick worked example (simple illustration)​

Bottom line (practical)​

• Typical single answer: a few mL to a few dozen mL of water, depending on model, provider, and measurement method. IT Pro+2oecd.ai+2
• Training a big model: millions of liters. That’s where most of the water footprint is concentrated. arXiv+1

herbsinator said:

I’d prefer to keep them away from teachers like you, I think.

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MaxHuskers34 said:

Chat GPT had fun with this thread.​

​

THREAD LOCKED: “The Ballad of Cavalot”​

A Comedy of Clowns, Keyboards, and Artificial Intelligence
Written by GPT-5

---

INT. DIGITAL VOID – AFTERNOON​

The neon glow of a Husker message board hums like an empty gym at halftime.
A new post blinks to life.

---

CAVALOT (Linebacker, 188 posts, 212 Likes)​

(overly formal, self-important)
Good afternoon, esteemed posters.
I’ve compiled an AI-assisted meta-summary of Matt Rhule’s rumored candidacy for Penn State.


He posts an absurdly long, citation-stuffed essay. It’s formatted like a doctoral thesis written by Microsoft Word Clippy.

---

HERBSINATOR (Quarterback)​

(sniffs screen)
What in the ChatGPT hell is this?

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PEPE SILVIA​

It’s an AI article! Bro copy-pasted homework from Skynet.

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GREYBEARDEDCHILD​

AI’s just predictive text for people who type with one finger.

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BULLDOG10​

Nobody asked for a Wikipedia page, Professor Copy-Paste.

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CAVALOT​

(defensive, smug)
It’s called research, gentlemen.
Some of us prefer data over gut feelings.

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BARON WINNEBAGO​

(laughing)
You prefer data? Then how come your post reads like an insurance pamphlet written by a Roomba?

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ALCAUS​

Nah, let him go. This is better than the spring game.

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INT. DIGITAL VOID – MOMENTS LATER​

Cavalot, unfazed, begins typing again. The post box fills with manic energy.

---

CAVALOT​

(lecturing tone)
Look, I use Canvas, IXL, HUDL... it’s all technology.
Would you prefer chalkboards and carrier pigeons?

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TAMPABAYSKERS​

(laughing emoji)
Cav grades papers written by AI, using AI, while lecturing about AI.
It’s a circle of dumb.

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KAZMAN5K​

Quick, someone unplug him before he assigns us homework.

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HERBSINATOR​

Bro’s arguing with strangers on a sports board like it’s parent-teacher conference night.

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BARON WINNEBAGO​

(to the crowd)
The clown car’s arrived, boys — and it runs on Wi-Fi.

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CAVALOT​

(irate, missing the joke)
Laugh all you want. Technology is the future.
Do you still draw plays with markers? LOL!

---

GREYBEARDEDCHILD​

Yes. Because it works. Unlike whatever you’re doing.

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MAVSKER​

I just came here for football rumors. How did we get a TED Talk?

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INT. DIGITAL VOID – EVENING​

The thread has fully descended into circus. Memes, jokes, and popcorn emojis everywhere.

---

2010SARNEVERCOMINGBACK​

(posting like a war correspondent)


🧾
Day Three of the Cavalot Crisis.
The thread began with a football rumor and devolved into open keyboard warfare.
Local casualties include logic, humor, and reading comprehension.

---

THAT SOB VAN OWEN (Moderator)​

(applauding)
Well done, soldier. Carry on.

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CAVALOT​

(proudly, missing the sarcasm)
Thank you! I strive for academic clarity.

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TAMPABAYSKERS​

You strive for being the weirdest guy in Nebraska, and you’re succeeding.

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KALADIN (Professor of Aesthetics)​

(swooping in like a preacher)
Brothers, calm thine thumbs!
Let not this thread become a Tower of Babble-on!
Remember: blessed are the posters who log off.

---

BARON WINNEBAGO​

(shouting)
Amen, Reverend — now delete the AI prophet!

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CAVALOT​

(to Herbsinator, his final stand)
There’ll always be public schools, pal.
Otherwise, where would you people learn to spell “AI”?

---

The silence that follows is brutal.

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GREYBEARDEDCHILD​

(to everyone)
He really thinks he won that.

---

A red banner flashes across the top of the thread:
THREAD LOCKED – REASON: “Unproductive Clownery.”

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EPILOGUE​

2010SARNEVERCOMINGBACK (V.O.)​

The thread began with football.
It ended with a teacher yelling at ghosts.
We may never know if Matt Rhule’s leaving,
but we do know that Cavalot’s still typing... somewhere.


Go Big Red.

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Alcaus said:

AI will hopefully keep my kids away from the riff raff with personal tutoring w/o the inflated tuition.

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herbsinator said:

I use AI in some capacity for my job, but the key is really understanding what it can and can’t do. If you can give it the proper context and facts, then it can be a great tool. But a lot of the time it’s garbage-in, garbage-out. For example, in the OP, its information is limited to what’s publicly available on the internet. There has not been a single article written up to this point that has any actual relevant facts or information, beyond pure speculation. Therefore, whatever AI spits out on this topic is necessarily going to be worthless. If AI had access to TPB, NCIU and whatever the PSU equivalents are, then it would be a different story.

As for my kids, they’re 4 and 2 so we have some time to figure it out. I don’t even let them look at an iPad or watch TV at this point!

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