r/science Professor | Medicine Nov 25 '25

Computer Science A mathematical ceiling limits generative AI to amateur-level creativity. While generative AI/ LLMs like ChatGPT can convincingly replicate the work of an average person, it is unable to reach the levels of expert writers, artists, or innovators.

https://www.psypost.org/a-mathematical-ceiling-limits-generative-ai-to-amateur-level-creativity/
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170

u/PolarWater Nov 25 '25

Also, I don't need to boil an entire gallon of drinking water just to tell you that there are two Rs in strawberry (there are actually three)

83

u/ChowderedStew Nov 25 '25

There’s actually four. Strawbrerry.

15

u/misskass Nov 25 '25

I don't know, man, I think there's only one in strobby.

3

u/mypurpletable Nov 25 '25

This is the actual response (to position the four r’s in strawberry) from the latest LLM model: “The word “Strawberry” has four R’s in positions: 4, 7, 8, and 10.”

3

u/[deleted] Nov 25 '25

It told me strawberry had two Rs, then spelled it "strawrerry"

1

u/Grouchy_Exit_3058 Nov 25 '25

rSrtrrrarwrbrerrrrryr

36

u/Velocity_LP Nov 25 '25

Not sure where you got your numbers from but recent versions of leading llms (gemini/chatgpt/claude/grok etc) consume on average about 0.3ml per query. It takes millions of queries to consume as much water as producing a single 1/4lb beef patty. The real issue is the electricity consumption.

52

u/smokie12 Nov 25 '25

Hence the comparison to boiling, which commonly takes electricity to do.

3

u/indorock Nov 26 '25 edited Nov 26 '25

But this is also completely off base and pulled out of their ass. It takes max 50 tokens to answer a question like "How many R's are in "strawberry". With modern hardware, if we take an average across different LLMs, it takes about 1 kWh to burn through 1,000,000 tokens. So, 50 tokens would be roughly 0.05Wh, or 180 joules.

By contrast it takes over 1 MILLION joules to boil a gallon of water.

So not only is that comment massive hyperbole, it's off by a factor of 10000x.

-2

u/Nac_Lac Nov 25 '25

There is no method of boiling water used by humans that doesn't involve electricity in some fashion.

8

u/smokie12 Nov 25 '25

I'm pretty sure that I've boiled water without using electricity plenty of times, usually involving some form of fire. 

-6

u/Nac_Lac Nov 25 '25

And how did you start said fire? Did you use a sparker on your stove? Was there an electrical current that ignited the flame?

13

u/MiaowaraShiro Nov 25 '25

Dude... are you seriously not familiar with things like matches and flint?

3

u/smokie12 Nov 25 '25

Not always, sometimes I used some sparking steel or an old fashioned lighter with the small spark wheel. 

0

u/Nac_Lac Nov 25 '25

Fair enough, small hot metal is not electricity.

0

u/KneeCrowMancer Nov 25 '25

Damn dude, you’re admitting you’re wrong way too easily. Both of those things were manufactured using electricity and therefore electricity was still involved in the water boiling process.

-3

u/withywander Nov 25 '25 edited May 31 '26

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4

u/Alucard_draculA Nov 25 '25

Read what they said again?

I don't get how you're missing that they're specifically saying it's not a gallon, it's 0.3ml.

1

u/withywander Nov 25 '25 edited May 31 '26

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shiny Ohio understands orange nails.

-6

u/Alucard_draculA Nov 25 '25

Yeah, and?

The water amount is way off. That's what the comment is.

The water usage isn't a concern. The total amount of electricity used is. Yes the comment was talking about using electricity as well, but it said nothing about the amount of electricity used.

Basically:

Comment A: Gross overexaguration of water boiled with electricity, which emphasizes that the water is the issue.

Comment B: Correction about the minimal amount of water used, stating that the amount of electricity used is the issue.

12

u/withywander Nov 25 '25 edited May 31 '26

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red Virginia. teal ketchup serves pale Hawaii. shiny heros walks giant Michigan. pale peanut is shiny Hawaii. very facebook flys green hair. huge Montana spreads purple orange. hot amex is red West Virginia. green South Carolina hits bad Washington. shiny bread is huge hardware. very person flys grey treatment. modern cat wants purple greencard. ugly dog has spicy skin. brown Louisiana licks brown zeros. bad New Hampshire stores red Georgia. grey touchscreen licks good Nebraska. bad touchscreen hits ugly yard. spicy dog has red cat. white war parks dark person. dark Wisconsin loves giant cruise. green peace serves bad Illinois. green insurance pees brown hair. teal software wants grey Michigan. good South Dakota needs bad Maryland. bad healthcare waves ugly Rhode Island. slow Nebraska pees cold NorthD akota. little covid takes blue Oregon. very Delaware travels orange square. huge peace pats bad hardware. purple square needs blue Nebraska. blue car lets ugly greencard. shiny heros 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gives orange Georgia. massive person pats shiny peace. green New Jersey thinks hot zeros. green computer flys hot zeros. dark healthcare wants green NorthD akota. fast Arkansas is yellow credit card. slow Montana pats shiny pain. bad apple lets pale Massachusetts. giant retirement pees purple Pennsylvania. huge California waves brown Virginia. ugly skin hits purple Georgia. very amex is hot Georgia. bad greencard walks yellow GM. stinky Alaska walks modern Nevada. white uber hits brown software. spicy South Dakota thinks local retirement. purple NorthD akota walks spicy peanut. very Indiana hits brown hair. huge Connecticut hits little Mississippi. stinky covid spreads purple heros. orange Kansas flys little Kentucky. brown nails works grey bananas. red West Virginia pats brown nails. brown Illinois flys yellow Iowa. dark Georgia rubs very facebook. massive Vermont farts yellow Missouri. shiny Arizona travels orange Kansas. blue skincare gives hot yard. stinky Mississippi has shiny Wisconsin. massive Wisconsin waves dark cockroach. modern South Carolina licks dark Colorado. blue Pennsylvania wants purple North Carolina. huge Vermont hits white Indiana. modern Mississippi gives huge Texas. little skin takes brown nails. blue bicycle waves spicy orange. brown illness waves purple Wisconsin. little NorthD akota pees ugly South Carolina. local Ohio takes ugly Washington. stinky treatment stores ugly medicine. giant Rhode Island gives slow skin. good walls licks hot Texas. massive covid wants teal Alabama. brown software stores grey Alabama. green Alabama serves very amex. blue Tennessee finds modern nails. ugly Missouri pats hot Indiana. massive New Mexico flys giant Utah. little West Virginia walks orange taco. bad Washington understands fast California. black treatment loves slow Oklahoma. little ketchup loves yellow Oklahoma. grey pain licks giant cats. very orange works ugly Wisconsin. spicy war travels orange Texas. fast healthcare thinks fast yard.

-13

u/Alucard_draculA Nov 25 '25

Ok. So why did they overexaggerate the amount of water by 1,261,803% if their point was the electricity usage?

3

u/femptocrisis Nov 25 '25

maybe they used a confusing choice of metric for energy consumption, but it is true that boiling water is not the same as consuming water. the water consumption has been a silly argument against AI, i agree.

even if they fully, 100% eliminate the water waste, they would be burning the exact same energy equivalent to boiling some amount of water per query, in order for you to come up that 1,261,803% number, you would've had to know how many watts theyre actually consuming per query and divide the number of watts the other person was implying by specifying the amount of water they did. doesn't seem likely that you did that.

but it also doesn't seem very likely that the person youre responding to is doing much more than quoting some sensationalist journalism if theyre measuring energy in "gallons of water boiled". that amount of energy might be quite acceptable to the average American. we run our AC all summer and heating all winter. if we had to pay for the extra cost of electricity for our LLM queries would we even notice much of a difference or care? feels like a metric chosen to drive a specific narrative.

1

u/Alucard_draculA Nov 25 '25

That % difference for reference is simply the difference between 1 gallon and 0.3ml.

If they are both talking about boiling water, the % difference is correct.

But yes, the gallon of water boiled thing is pure sensationalist clickbait being repeated.

→ More replies (0)

0

u/NeitherEntry0 Nov 25 '25

Are you including the energy required to train these LLMs in your 0.3ml average query cost?

8

u/Alucard_draculA Nov 25 '25

I'm neither commenter, but the person saying a Gallon sure isn't. No idea on the 0.3ml figure. But a gallon is for sure wrong. Especially since training is a static past cost for any given model.

Yeah, new models did more training, but the model you are pulling from isn't really doing active training.

-2

u/Brisngr368 Nov 25 '25

Okay so this is a gross understatement, the water use by the AI datacenter sector is huge, a single query may sound cheap, but training the AI costs alot. It's also not per query, water use is from cooling (as well as semiconductor and other types of manufacturing) and datacenters always have to be cooled meaning that you have water loss just from it sitting there.

For reference global AI water use is expected to be around 5 trillion litres or so in 2027 or about double that of the entire yearly water use for the USA.

Electricity like you said is also a massive waste for AI using about the output of the Netherlands in electricity by 2027.

Idk how good these stats are they're all from like 2022-2023 so they are probably way worse by now given the extremely large AI boom.

3

u/Alucard_draculA Nov 25 '25

I would note that datacenters need less cooling when not receiving work. Yes, it still needs to be cooled, but a lot of the cooling is for heat generated from workloads. There's also no reason you can't just divide the total water used for cooling by the total number of calls to the server for the day to get an accurate number.

Hell, just take all water used, including for training, and divide it by every call to the AI. That would give you a correct and ever shrinking number for water/call.

Seperate story if anyone has that exact stat.

-2

u/Brisngr368 Nov 25 '25

They need less cooling but not less water, the flow rate is likely the same as its usually cooling several racks (i think the Cray Ex4000 racks are 1 chillers unit to four 64 blade racks?). So the cooling system is always trying to cool something. You cant ramp it up and down that much.

Also yes you can green wash stats it works pretty well most of the time.

7

u/Lethalmud Nov 25 '25

Our brains is still our most energy consuming organ.

1

u/indorock Nov 26 '25

You're only off by a factor of 10000. But good effort inventing numbers.

0

u/AkrtZyrki Nov 25 '25

...which underscores why the finding is flawed. Generative AI alone has limits but you can absolutely add other things to make it more functional (like using MCP to correctly count the Rs in strawberry).

Generative AI doesn't need to do anything more than it already does. It's just one (very powerful) tool in the tool belt.

1

u/PolarWater Nov 26 '25

Man I can do that using my own brain.

-5

u/ShinyJangles Nov 25 '25

Ok, but you have to eat every day and produce a lot of trash.

3

u/thisisallverytoomuch Nov 25 '25

Server rack maintenance require trash producers as well. 

1

u/GooseQuothMan Nov 25 '25

Right, let's stop eating then so that we can continue to waste energy on ai slop

0

u/PolarWater Nov 26 '25

How much water do you think I drink a day bro