#hallucinated — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #hallucinated, aggregated by home.social.
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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 toemit 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://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
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## LLM shenanigans
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://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
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Finding #Joy in the #HappyNumbers : Medium
#Hallucinated #Citations are #Polluting the #Scientific #Literature. What can be done? : Nature
#AI #Development won’t hit a #Wall anytime soon—here’s why : Tech Review
Latest #KnowledgeLinks
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Finding #Joy in the #HappyNumbers : Medium
#Hallucinated #Citations are #Polluting the #Scientific #Literature. What can be done? : Nature
#AI #Development won’t hit a #Wall anytime soon—here’s why : Tech Review
Latest #KnowledgeLinks
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Finding #Joy in the #HappyNumbers : Medium
#Hallucinated #Citations are #Polluting the #Scientific #Literature. What can be done? : Nature
#AI #Development won’t hit a #Wall anytime soon—here’s why : Tech Review
Latest #KnowledgeLinks
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Finding #Joy in the #HappyNumbers : Medium
#Hallucinated #Citations are #Polluting the #Scientific #Literature. What can be done? : Nature
#AI #Development won’t hit a #Wall anytime soon—here’s why : Tech Review
Latest #KnowledgeLinks
-
Finding #Joy in the #HappyNumbers : Medium
#Hallucinated #Citations are #Polluting the #Scientific #Literature. What can be done? : Nature
#AI #Development won’t hit a #Wall anytime soon—here’s why : Tech Review
Latest #KnowledgeLinks
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I always ask similar questions like the following,
What will you do when you discover that the kernel of your favorite Operating System now gets programming assistance in any form of a power guzzling ocean warming large language model?
Will you fork the kernel yourself? Do you have the programming capability
There are a lot of folk who are pissed off at Linus Torvalds, for allowing some of his maintainers to use large language models to assist in finding bugs.
The Head Programmer of the fantastic and Beautiful
curlalso uses a large language model in some form, to hunt for bugs, because both he and Greg from the Linux kernel, saw that the LLM used on GitHub is now suddenly much better at finding those pesky bugs.Mind you, the only LLM I like is the one that runs locally on my low powered Android phone. That's a micro LLM
Thanks in advance for your response
https://github.com/stevelaskaridis/awesome-mobile-llm
#LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka
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Absolute truth. This individual does not know how the mathematics physics linear algebra work within these large language models
#LLM #hallucinated #AI #slop #investation #programming #Bull #kaka
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This one almost got me ROTFL 😆
A sentient LLM which is female
https://www.theregister.com/2026/02/25/bcachefs_creator_ai/
#LLM #hallucinated #AI #slop #investation #programming #Bull #kaka
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What I'm looking for: Corsair Type-4 GPU cables.
What I'm getting on the Amazon product page: #LLM #hallucinated #bollocks. It's wild. If it were a "spot the WTF" drinking game, I'd have passed out halfway through.
Does anyone else get this BS visiting this link here? ↓
https://www.amazon.de/CORSAIR-Premium-Individually-Sleeved-Connector/dp/B07L67PZC2
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New regulations may impose strict control or new #liability for #AI generated material. This may include, and may not be limited to, legal liabilities concerning #security vulnerabilities or “#hallucinated” sections of AI generated code.
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Oh my god, I just tried out GitHub #copilot Chat for the first time. Yesterday I used the default model from #vscode and it #hallucinated a lot and did not come to any positive result.
Then I read more about https://docs.github.com/en/copilot/using-github-copilot/ai-models/choosing-the-right-ai-model-for-your-task and tried out Claude Sonnet 3.7.
People spending money on this?! It couldn't achieve a basic instruction. 😬
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In current times we #compress #images and #video with traditional #algorithms, so the #quality issues we get are low #resolution and #compression #artifacts.
However, soon it will all be #NeurallyCompressed, and the resolution can be extremely high, artifacts non-existent, but details can be #hallucinated by the machine.
In the future #DigitalForensics it will be difficult to tell which #image details actually reflect the reality, and which are just artifacts.