#hallucinated — Public Fediverse posts

LLM generated music

Interesting take on the progress of LLM generated music

According to SpectreSoundStudios LLMs can create better music than many people, do now, because people often try to do only super techniques for other musicians to adore, not for the listening public.

Modern (upcoming) musicians can't sing in proper tune, let alone great and can't harmonize if their life depended on it. Musicians often can't even play together and need to do seperate recording takes, meaning that they sound terrible to horrific when they do attempt to play like a real band did in the 20th century.
Those are the kind of musicians SpectreSoundStudios has had in his recording studios in the two thousands period of time.

There are many caveats, to LLM created music, because the generated music sounds sterile without a human touch; imperfections are important, the feeding of energy from a drummer going a bit harder, slower or faster, makes the rest of the band tune in on that energy and it makes the song feel alive and kicking;

• Black Sabbath
• Judas Priest
• Iron Maiden
• Def Leppard
• Queen
• Slayer

all make massive songs which made the masses remember them, in awe, even fifty years later

Watch the video, so you stay informed on what LLM's are doing and succeeding in, to take over your listening pleasure, while destroying the environment we live in.

It progressed from the following

• drum machines
• samples
• tempo
• metrum
• rhythm correctors
• harmonizers
• voice correctors

To result in the total replacement of musicians in the creation and execution phase, this is more prevalent in certain genres of music, than others

I don't need to tell you how disturbing it is to watch the video and realize this is already in effect

Go, watch and learn

video created by SpectreSoundStudios

sources:

https://www.youtube.com/watch?v=btTMfedD7jc

https://en.wikipedia.org/wiki/Large_language_model

https://en.wikipedia.org/wiki/Music

https://en.wikipedia.org/wiki/Sound

#LLM #hallucinated #AI #slop #datacenter #environment #destruction #obsolete #musicians #programming #automation #no #TV

LLM generated music

Interesting take on the progress of LLM generated music

According to SpectreSoundStudios LLMs can create better music than many people, do now, because people often try to do only super techniques for other musicians to adore, not for the listening public.

Modern (upcoming) musicians can't sing in proper tune, let alone great and can't harmonize if their life depended on it. Musicians often can't even play together and need to do seperate recording takes, meaning that they sound terrible to horrific when they do attempt to play like a real band did in the 20th century.
Those are the kind of musicians SpectreSoundStudios has had in his recording studios in the two thousands period of time.

There are many caveats, to LLM created music, because the generated music sounds sterile without a human touch; imperfections are important, the feeding of energy from a drummer going a bit harder, slower or faster, makes the rest of the band tune in on that energy and it makes the song feel alive and kicking;

• Black Sabbath
• Judas Priest
• Iron Maiden
• Def Leppard
• Queen
• Slayer

all make massive songs which made the masses remember them, in awe, even fifty years later

Watch the video, so you stay informed on what LLM's are doing and succeeding in, to take over your listening pleasure, while destroying the environment we live in.

It progressed from the following

• drum machines
• samples
• tempo
• metrum
• rhythm correctors
• harmonizers
• voice correctors

To result in the total replacement of musicians in the creation and execution phase, this is more prevalent in certain genres of music, than others

I don't need to tell you how disturbing it is to watch the video and realize this is already in effect

Go, watch and learn

video created by SpectreSoundStudios

sources:

https://www.youtube.com/watch?v=btTMfedD7jc

https://en.wikipedia.org/wiki/Large_language_model

https://en.wikipedia.org/wiki/Music

https://en.wikipedia.org/wiki/Sound

#LLM #hallucinated #AI #slop #datacenter #environment #destruction #obsolete #musicians #programming #automation #no #TV

LLM generated music

Interesting take on the progress of LLM generated music

According to SpectreSoundStudios LLMs can create better music than many people, do now, because people often try to do only super techniques for other musicians to adore, not for the listening public.

Modern (upcoming) musicians can't sing in proper tune, let alone great and can't harmonize if their life depended on it. Musicians often can't even play together and need to do seperate recording takes, meaning that they sound terrible to horrific when they do attempt to play like a real band did in the 20th century.
Those are the kind of musicians SpectreSoundStudios has had in his recording studios in the two thousands period of time.

There are many caveats, to LLM created music, because the generated music sounds sterile without a human touch; imperfections are important, the feeding of energy from a drummer going a bit harder, slower or faster, makes the rest of the band tune in on that energy and it makes the song feel alive and kicking;

• Black Sabbath
• Judas Priest
• Iron Maiden
• Def Leppard
• Queen
• Slayer

all make massive songs which made the masses remember them, in awe, even fifty years later

Watch the video, so you stay informed on what LLM's are doing and succeeding in, to take over your listening pleasure, while destroying the environment we live in.

It progressed from the following

• drum machines
• samples
• tempo
• metrum
• rhythm correctors
• harmonizers
• voice correctors

To result in the total replacement of musicians in the creation and execution phase, this is more prevalent in certain genres of music, than others

I don't need to tell you how disturbing it is to watch the video and realize this is already in effect

Go, watch and learn

video created by SpectreSoundStudios

sources:

https://www.youtube.com/watch?v=btTMfedD7jc

https://en.wikipedia.org/wiki/Large_language_model

https://en.wikipedia.org/wiki/Music

https://en.wikipedia.org/wiki/Sound

#LLM #hallucinated #AI #slop #datacenter #environment #destruction #obsolete #musicians #programming #automation #no #TV

LLM generated music

Interesting take on the progress of LLM generated music

According to SpectreSoundStudios LLMs can create better music than many people, do now, because people often try to do only super techniques for other musicians to adore, not for the listening public.

Modern (upcoming) musicians can't sing in proper tune, let alone great and can't harmonize if their life depended on it. Musicians often can't even play together and need to do seperate recording takes, meaning that they sound terrible to horrific when they do attempt to play like a real band did in the 20th century.
Those are the kind of musicians SpectreSoundStudios has had in his recording studios in the two thousands period of time.

There are many caveats, to LLM created music, because the generated music sounds sterile without a human touch; imperfections are important, the feeding of energy from a drummer going a bit harder, slower or faster, makes the rest of the band tune in on that energy and it makes the song feel alive and kicking;

• Black Sabbath
• Judas Priest
• Iron Maiden
• Def Leppard
• Queen
• Slayer

all make massive songs which made the masses remember them, in awe, even fifty years later

Watch the video, so you stay informed on what LLM's are doing and succeeding in, to take over your listening pleasure, while destroying the environment we live in.

It progressed from the following

• drum machines
• samples
• tempo
• metrum
• rhythm correctors
• harmonizers
• voice correctors

To result in the total replacement of musicians in the creation and execution phase, this is more prevalent in certain genres of music, than others

I don't need to tell you how disturbing it is to watch the video and realize this is already in effect

Go, watch and learn

video created by SpectreSoundStudios

sources:

https://www.youtube.com/watch?v=btTMfedD7jc

https://en.wikipedia.org/wiki/Large_language_model

https://en.wikipedia.org/wiki/Music

https://en.wikipedia.org/wiki/Sound

#LLM #AI #hallucinated #slop #no #TV #datacenter #environment #destruction #obsolete #musicians #programming #automation

LLM generated music

Interesting take on the progress of LLM generated music

According to SpectreSoundStudios LLMs can create better music than many people, do now, because people often try to do only super techniques for other musicians to adore, not for the listening public.

Modern (upcoming) musicians can't sing in proper tune, let alone great and can't harmonize if their life depended on it. Musicians often can't even play together and need to do seperate recording takes, meaning that they sound terrible to horrific when they do attempt to play like a real band did in the 20th century.
Those are the kind of musicians SpectreSoundStudios has had in his recording studios in the two thousands period of time.

There are many caveats, to LLM created music, because the generated music sounds sterile without a human touch; imperfections are important, the feeding of energy from a drummer going a bit harder, slower or faster, makes the rest of the band tune in on that energy and it makes the song feel alive and kicking;

• Black Sabbath
• Judas Priest
• Iron Maiden
• Def Leppard
• Queen
• Slayer

all make massive songs which made the masses remember them, in awe, even fifty years later

Watch the video, so you stay informed on what LLM's are doing and succeeding in, to take over your listening pleasure, while destroying the environment we live in.

It progressed from the following

• drum machines
• samples
• tempo
• metrum
• rhythm correctors
• harmonizers
• voice correctors

To result in the total replacement of musicians in the creation and execution phase, this is more prevalent in certain genres of music, than others

I don't need to tell you how disturbing it is to watch the video and realize this is already in effect

Go, watch and learn

video created by SpectreSoundStudios

sources:

https://www.youtube.com/watch?v=btTMfedD7jc

https://en.wikipedia.org/wiki/Large_language_model

https://en.wikipedia.org/wiki/Music

https://en.wikipedia.org/wiki/Sound

#LLM #AI #hallucinated #slop #no #TV #datacenter #environment #destruction #obsolete #musicians #programming #automation

freeBSD goes LLM AI vulnerability hunting?

I haven't read the article yet so I will not say anything now

It would be nice to see feedback from you after you've read it

I've read the article now. Motivation seems to be valid IMHO

https://freebsdfoundation.org/blog/freebsd-ai-assisted-vulnerability-discovery-project-launch/

#freeBSD #goes #LLM #AI #vulnerability #hunting #slop #hallucinated #results

freeBSD goes LLM AI vulnerability hunting?

I haven't read the article yet so I will not say anything now

It would be nice to see feedback from you after you've read it

I've read the article now. Motivation seems to be valid IMHO

https://freebsdfoundation.org/blog/freebsd-ai-assisted-vulnerability-discovery-project-launch/

#freeBSD #goes #LLM #AI #vulnerability #hunting #slop #hallucinated #results

freeBSD goes LLM AI vulnerability hunting?

I haven't read the article yet so I will not say anything now

It would be nice to see feedback from you after you've read it

I've read the article now. Motivation seems to be valid IMHO

https://freebsdfoundation.org/blog/freebsd-ai-assisted-vulnerability-discovery-project-launch/

#freeBSD #goes #LLM #AI #vulnerability #hunting #slop #hallucinated #results

freeBSD goes LLM AI vulnerability hunting?

I haven't read the article yet so I will not say anything now

It would be nice to see feedback from you after you've read it

I've read the article now. Motivation seems to be valid IMHO

https://freebsdfoundation.org/blog/freebsd-ai-assisted-vulnerability-discovery-project-launch/

#freeBSD #goes #LLM #AI #vulnerability #hunting #slop #hallucinated #results

freeBSD goes LLM AI vulnerability hunting?

I haven't read the article yet so I will not say anything now

It would be nice to see feedback from you after you've read it

I've read the article now. Motivation seems to be valid IMHO

https://freebsdfoundation.org/blog/freebsd-ai-assisted-vulnerability-discovery-project-launch/

#freeBSD #goes #LLM #AI #vulnerability #hunting #slop #hallucinated #results

Just block all LLM crapola in firefox with this button

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Mozilla #firefox #Google #Alphabet #FB #facebook #whatsapp #Enshittification

Just block all LLM crapola in firefox with this button

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Mozilla #firefox #Google #Alphabet #FB #facebook #whatsapp #Enshittification

Just block all LLM crapola in firefox with this button

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Mozilla #firefox #Google #Alphabet #FB #facebook #whatsapp #Enshittification

Just block all LLM crapola in firefox with this button

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Mozilla #firefox #Google #Alphabet #FB #facebook #whatsapp #Enshittification

Just block all LLM crapola in firefox with this button

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Mozilla #firefox #Google #Alphabet #FB #facebook #whatsapp #Enshittification

I'm convinced that a large language model is doing this calculation for Google Chrome in the app Store size calculation routine

Total download size 39kB
Install size 49.73MB

The large language model is hallucinating the size of the download

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Google #Alphabet #Enshittification

I'm convinced that a large language model is doing this calculation for Google Chrome in the app Store size calculation routine

Total download size 39kB
Install size 49.73MB

The large language model is hallucinating the size of the download

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Google #Alphabet #Enshittification

I'm convinced that a large language model is doing this calculation for Google Chrome in the app Store size calculation routine

Total download size 39kB
Install size 49.73MB

The large language model is hallucinating the size of the download

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Google #Alphabet #Enshittification

I'm convinced that a large language model is doing this calculation for Google Chrome in the app Store size calculation routine

Total download size 39kB
Install size 49.73MB

The large language model is hallucinating the size of the download

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Google #Alphabet #Enshittification

I'm convinced that a large language model is doing this calculation for Google Chrome in the app Store size calculation routine

Total download size 39kB
Install size 49.73MB

The large language model is hallucinating the size of the download

#LLM #hallucinated #AI #slop #basic #arithmetic #stupid #programming #Google #Alphabet #Enshittification

Are you sick and tired of LLM slop AI datacenters?

Many communities where they are (set to be) build are. Delays galore!!

https://www.youtube.com/watch?v=eXXwN_TDdLU

#LLM #hallucinated #AI #slop #datacenter #programming #environment

Are you sick and tired of LLM slop AI datacenters?

Many communities where they are (set to be) build are. Delays galore!!

https://www.youtube.com/watch?v=eXXwN_TDdLU

#LLM #hallucinated #AI #slop #datacenter #programming #environment

Are you sick and tired of LLM slop AI datacenters?

Many communities where they are (set to be) build are. Delays galore!!

https://www.youtube.com/watch?v=eXXwN_TDdLU

#LLM #hallucinated #AI #slop #datacenter #programming #environment

Are you sick and tired of LLM slop AI datacenters?

Many communities where they are (set to be) build are. Delays galore!!

https://www.youtube.com/watch?v=eXXwN_TDdLU

#LLM #hallucinated #AI #slop #datacenter #programming #environment

Are you sick and tired of LLM slop AI datacenters?

Many communities where they are (set to be) build are. Delays galore!!

https://www.youtube.com/watch?v=eXXwN_TDdLU

#LLM #hallucinated #AI #slop #datacenter #programming #environment

Stooping low by LLM hallucinating slop AI companies

https://thehackernews.com/2026/06/free-apps-are-quietly-turning-smart-tvs.html

#LLM #hallucinated #AI #slop #programming #InfoSec #network #proxy #low #move

Stooping low by LLM hallucinating slop AI companies

https://thehackernews.com/2026/06/free-apps-are-quietly-turning-smart-tvs.html

#LLM #hallucinated #AI #slop #programming #InfoSec #network #proxy #low #move

Stooping low by LLM hallucinating slop AI companies

https://thehackernews.com/2026/06/free-apps-are-quietly-turning-smart-tvs.html

#LLM #hallucinated #AI #slop #programming #InfoSec #network #proxy #low #move

Stooping low by LLM hallucinating slop AI companies

https://thehackernews.com/2026/06/free-apps-are-quietly-turning-smart-tvs.html

#LLM #hallucinated #AI #slop #programming #InfoSec #network #proxy #low #move

Stooping low by LLM hallucinating slop AI companies

https://thehackernews.com/2026/06/free-apps-are-quietly-turning-smart-tvs.html

#LLM #hallucinated #AI #slop #programming #InfoSec #network #proxy #low #move

Thank you for making me aware of this, I did not know

I've boosted your post so that everyone will see it also.

I've only heard of Kagi search today

@kitkat_blue

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #no #good #programming #privacy

Thank you for making me aware of this, I did not know

I've boosted your post so that everyone will see it also.

I've only heard of Kagi search today

@kitkat_blue

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #no #good #programming #privacy

Thank you for making me aware of this, I did not know

I've boosted your post so that everyone will see it also.

I've only heard of Kagi search today

@kitkat_blue

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #no #good #programming #privacy

Thank you for making me aware of this, I did not know

I've boosted your post so that everyone will see it also.

I've only heard of Kagi search today

@kitkat_blue

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #no #good #programming #privacy

Thank you for making me aware of this, I did not know

I've boosted your post so that everyone will see it also.

I've only heard of Kagi search today

@kitkat_blue

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #no #good #programming #privacy

## Search libraries

Most of you already know that the search engine we were used to has devolved into an LLM hallucinated AI slop nightmare

I silently switched to DuckDuckGo a few of years ago. There are others also one of them is Kagi search.

Instead of telling you how all my experiences are I will just leave the beautiful links so you can surf, check, and see if they suit you. Translation currency conversion and everything else that I used on Google, I can easily do on DuckDuckGo where I have the most experience.

Sources:

https://duckduckgo.com/

https://kagi.com/search

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #programming #privacy

## Search libraries

Most of you already know that the search engine we were used to has devolved into an LLM hallucinated AI slop nightmare

I silently switched to DuckDuckGo a few of years ago. There are others also one of them is Kagi search.

Instead of telling you how all my experiences are I will just leave the beautiful links so you can surf, check, and see if they suit you. Translation currency conversion and everything else that I used on Google, I can easily do on DuckDuckGo where I have the most experience.

Sources:

https://duckduckgo.com/

https://kagi.com/search

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #programming #privacy

## Search libraries

Most of you already know that the search engine we were used to has devolved into an LLM hallucinated AI slop nightmare

I silently switched to DuckDuckGo a few of years ago. There are others also one of them is Kagi search.

Instead of telling you how all my experiences are I will just leave the beautiful links so you can surf, check, and see if they suit you. Translation currency conversion and everything else that I used on Google, I can easily do on DuckDuckGo where I have the most experience.

Sources:

https://duckduckgo.com/

https://kagi.com/search

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #programming #privacy

## Search libraries

Most of you already know that the search engine we were used to has devolved into an LLM hallucinated AI slop nightmare

I silently switched to DuckDuckGo a few of years ago. There are others also one of them is Kagi search.

Instead of telling you how all my experiences are I will just leave the beautiful links so you can surf, check, and see if they suit you. Translation currency conversion and everything else that I used on Google, I can easily do on DuckDuckGo where I have the most experience.

Sources:

https://duckduckgo.com/

https://kagi.com/search

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #programming #privacy

## Search libraries

Most of you already know that the search engine we were used to has devolved into an LLM hallucinated AI slop nightmare

I silently switched to DuckDuckGo a few of years ago. There are others also one of them is Kagi search.

Instead of telling you how all my experiences are I will just leave the beautiful links so you can surf, check, and see if they suit you. Translation currency conversion and everything else that I used on Google, I can easily do on DuckDuckGo where I have the most experience.

Sources:

https://duckduckgo.com/

https://kagi.com/search

#Search #Alphabet #Enshittification #LLM #hallucinated #AI #slop #Duck #Duck #Go #DuckDuckGo #Kagi #programming #privacy

There is a healthy sarcasm in your toot. You and I know that it is just a Pyramid Scheme.

The only good pyramids are the ones that we construct ourselves

All schemes collapse

@rl_dane

#LLM #slop #AI #hallucinated

There is a healthy sarcasm in your toot. You and I know that it is just a Pyramid Scheme.

The only good pyramids are the ones that we construct ourselves

All schemes collapse

@rl_dane

#LLM #slop #AI #hallucinated

There is a healthy sarcasm in your toot. You and I know that it is just a Pyramid Scheme.

The only good pyramids are the ones that we construct ourselves

All schemes collapse

@rl_dane

#LLM #slop #AI #hallucinated

There is a healthy sarcasm in your toot. You and I know that it is just a Pyramid Scheme.

The only good pyramids are the ones that we construct ourselves

All schemes collapse

@rl_dane

#LLM #slop #AI #hallucinated

There is a healthy sarcasm in your toot. You and I know that it is just a Pyramid Scheme.

The only good pyramids are the ones that we construct ourselves

All schemes collapse

@rl_dane

#LLM #slop #AI #hallucinated

LLM shenanigans

markdown edition

New gas projects linked to a mere eleven data center campuses around the US have the potential to create more greenhouse gases than the country of Morocco emitted in 2024.
Emissions estimates from air permit documents examined by WIRED show that these natural gas projects —which are being built to power data centers to serve some of the US’s most powerful LLM companies, including OpenAI, Meta {Facebook}, Microslop, and xAI —have the potential to

emit more than 129 million tons of greenhouse gases per year!

As tech companies race to secure massive power deals to build out hundreds of data centers across the country, these projects represent just the tip of the iceberg when it comes to the potential climate cost of the LLM piramid scheme.

Michael Thomas, the founder of clean energy research firm Cleanview, has been tracking gas permits for data centers across the country. He calls behind-the-meter power “a crazy acceleration of emissions.”

“It’s almost like we thought we were on the downside of the Industrial Revolution, retiring coal and gas, and now we have a new hump where we’re going to rise,” he says. “That terrifies me in a lot of ways."

Microsoft, meanwhile, is reportedly looking into purchasing power from a Chevron-backed natural gas project in West Texas. That single project, according to its permit, could emit more than 11.5 million tons of greenhouse gases each year—more than the yearly emissions of the entire country of Jamaica.

I've deliberately translated what is written to what it actually means for us proprietors of Terra.

Exact text is in link below

sources

https://arstechnica.com/ai/2026/04/greenhouse-gases-from-data-center-boom-could-outpace-entire-nations/

https://en.wikipedia.org/wiki/Large_language_model

#LLM #AI #slop #hallucinated #environment #weather #destruction #of #Terra #microslop #meta #facebook #alphabet #google #programming #enshittification #bullshit #WTF #How #The #Hell #STOP

LLM shenanigans

markdown edition

New gas projects linked to a mere eleven data center campuses around the US have the potential to create more greenhouse gases than the country of Morocco emitted in 2024.
Emissions estimates from air permit documents examined by WIRED show that these natural gas projects —which are being built to power data centers to serve some of the US’s most powerful LLM companies, including OpenAI, Meta {Facebook}, Microslop, and xAI —have the potential to

emit more than 129 million tons of greenhouse gases per year!

As tech companies race to secure massive power deals to build out hundreds of data centers across the country, these projects represent just the tip of the iceberg when it comes to the potential climate cost of the LLM piramid scheme.

Michael Thomas, the founder of clean energy research firm Cleanview, has been tracking gas permits for data centers across the country. He calls behind-the-meter power “a crazy acceleration of emissions.”

“It’s almost like we thought we were on the downside of the Industrial Revolution, retiring coal and gas, and now we have a new hump where we’re going to rise,” he says. “That terrifies me in a lot of ways."

Microsoft, meanwhile, is reportedly looking into purchasing power from a Chevron-backed natural gas project in West Texas. That single project, according to its permit, could emit more than 11.5 million tons of greenhouse gases each year—more than the yearly emissions of the entire country of Jamaica.

I've deliberately translated what is written to what it actually means for us proprietors of Terra.

Exact text is in link below

sources

https://arstechnica.com/ai/2026/04/greenhouse-gases-from-data-center-boom-could-outpace-entire-nations/

https://en.wikipedia.org/wiki/Large_language_model

#LLM #AI #slop #hallucinated #environment #weather #destruction #of #Terra #microslop #meta #facebook #alphabet #google #programming #enshittification #bullshit #WTF #How #The #Hell #STOP

LLM shenanigans

markdown edition

New gas projects linked to a mere eleven data center campuses around the US have the potential to create more greenhouse gases than the country of Morocco emitted in 2024.
Emissions estimates from air permit documents examined by WIRED show that these natural gas projects —which are being built to power data centers to serve some of the US’s most powerful LLM companies, including OpenAI, Meta {Facebook}, Microslop, and xAI —have the potential to

emit more than 129 million tons of greenhouse gases per year!

As tech companies race to secure massive power deals to build out hundreds of data centers across the country, these projects represent just the tip of the iceberg when it comes to the potential climate cost of the LLM piramid scheme.

Michael Thomas, the founder of clean energy research firm Cleanview, has been tracking gas permits for data centers across the country. He calls behind-the-meter power “a crazy acceleration of emissions.”

“It’s almost like we thought we were on the downside of the Industrial Revolution, retiring coal and gas, and now we have a new hump where we’re going to rise,” he says. “That terrifies me in a lot of ways."

Microsoft, meanwhile, is reportedly looking into purchasing power from a Chevron-backed natural gas project in West Texas. That single project, according to its permit, could emit more than 11.5 million tons of greenhouse gases each year—more than the yearly emissions of the entire country of Jamaica.

I've deliberately translated what is written to what it actually means for us proprietors of Terra.

Exact text is in link below

sources

https://arstechnica.com/ai/2026/04/greenhouse-gases-from-data-center-boom-could-outpace-entire-nations/

https://en.wikipedia.org/wiki/Large_language_model

#LLM #AI #slop #hallucinated #environment #weather #destruction #of #Terra #microslop #meta #facebook #alphabet #google #programming #enshittification #bullshit #WTF #How #The #Hell #STOP

LLM shenanigans

markdown edition

New gas projects linked to a mere eleven data center campuses around the US have the potential to create more greenhouse gases than the country of Morocco emitted in 2024.
Emissions estimates from air permit documents examined by WIRED show that these natural gas projects —which are being built to power data centers to serve some of the US’s most powerful LLM companies, including OpenAI, Meta {Facebook}, Microslop, and xAI —have the potential to

emit more than 129 million tons of greenhouse gases per year!

As tech companies race to secure massive power deals to build out hundreds of data centers across the country, these projects represent just the tip of the iceberg when it comes to the potential climate cost of the LLM piramid scheme.

Michael Thomas, the founder of clean energy research firm Cleanview, has been tracking gas permits for data centers across the country. He calls behind-the-meter power “a crazy acceleration of emissions.”

“It’s almost like we thought we were on the downside of the Industrial Revolution, retiring coal and gas, and now we have a new hump where we’re going to rise,” he says. “That terrifies me in a lot of ways."

Microsoft, meanwhile, is reportedly looking into purchasing power from a Chevron-backed natural gas project in West Texas. That single project, according to its permit, could emit more than 11.5 million tons of greenhouse gases each year—more than the yearly emissions of the entire country of Jamaica.

I've deliberately translated what is written to what it actually means for us proprietors of Terra.

Exact text is in link below

sources

https://arstechnica.com/ai/2026/04/greenhouse-gases-from-data-center-boom-could-outpace-entire-nations/

https://en.wikipedia.org/wiki/Large_language_model

#LLM #AI #slop #hallucinated #environment #weather #destruction #of #Terra #microslop #meta #facebook #alphabet #google #programming #enshittification #bullshit #WTF #How #The #Hell #STOP

LLM shenanigans

markdown edition

New gas projects linked to a mere eleven data center campuses around the US have the potential to create more greenhouse gases than the country of Morocco emitted in 2024.
Emissions estimates from air permit documents examined by WIRED show that these natural gas projects —which are being built to power data centers to serve some of the US’s most powerful LLM companies, including OpenAI, Meta {Facebook}, Microslop, and xAI —have the potential to

emit more than 129 million tons of greenhouse gases per year!

As tech companies race to secure massive power deals to build out hundreds of data centers across the country, these projects represent just the tip of the iceberg when it comes to the potential climate cost of the LLM piramid scheme.

Michael Thomas, the founder of clean energy research firm Cleanview, has been tracking gas permits for data centers across the country. He calls behind-the-meter power “a crazy acceleration of emissions.”

“It’s almost like we thought we were on the downside of the Industrial Revolution, retiring coal and gas, and now we have a new hump where we’re going to rise,” he says. “That terrifies me in a lot of ways."

Microsoft, meanwhile, is reportedly looking into purchasing power from a Chevron-backed natural gas project in West Texas. That single project, according to its permit, could emit more than 11.5 million tons of greenhouse gases each year—more than the yearly emissions of the entire country of Jamaica.

I've deliberately translated what is written to what it actually means for us proprietors of Terra.

Exact text is in link below

sources

https://arstechnica.com/ai/2026/04/greenhouse-gases-from-data-center-boom-could-outpace-entire-nations/

https://en.wikipedia.org/wiki/Large_language_model

#LLM #AI #slop #hallucinated #environment #weather #destruction #of #Terra #microslop #meta #facebook #alphabet #google #programming #enshittification #bullshit #WTF #How #The #Hell #STOP