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#hallucinated — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hallucinated, aggregated by home.social.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. ## 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:

    duckduckgo.com/

    kagi.com/search

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

  7. ## 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:

    duckduckgo.com/

    kagi.com/search

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

  8. ## 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:

    duckduckgo.com/

    kagi.com/search

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

  9. ## 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:

    duckduckgo.com/

    kagi.com/search

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

  10. ## 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:

    duckduckgo.com/

    kagi.com/search

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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  17. 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  18. 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  19. 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  20. 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  21. ## 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  22. ## 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  23. ## 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  24. ## 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  25. ## 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

    arstechnica.com/ai/2026/04/gre

    en.wikipedia.org/wiki/Large_la

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

  26. My tiny brain has yet to have been convinced that AI hype is a good thing for the environment, projects it gets foisted upon, creativity, or the human psyche.

    Large language models on all corporate levels destroy everything around them.

    I've done extensive research; it's so horrific that if crying about it would revert things I would have cried the Amazone river full.

    LLMs as companions are bad news for the human Psyche. I have contact with a few victims of these LLMs who would rather {talk to} send strings to a mathematical model then speak to a real person. Serious pshychiatirc intervention is needed

    I am going to find out also why massive projects, massive open source projects seem not to care about:

    • the wasteland that those LLM driven data centers create
    • the fact that we cannot buy
    • memory
    • ssds
    • mechanical spinning hard drives
    • full computing and household devices

    ... for nomal prices, because those critical components have been hijacked by data center underlords who can't even get enough permissions to build all those projects in reality

    Part of it we all know, it's the LLM bubble, just like the house bubble in the USA some decades ago. Other part is that those underlords dont want us to owe our hardware anymore, so they can tighten their fascistic lock on the computing population.
    Look how they want to force even open source OS to age gate the systems so they can get real ID globally

    And I enjoy doing things the hard way

    I've always done my projects from the bottom up, Linux when many sources needed to be crosscompiled in the alpha days from DOS, which was fun but tedious.
    All current BSD flavours can be done that way too, if you still chose to do so, IIRC

    Thank you for your enlightning response

    @RussSharek

    sources:

    en.wikipedia.org/wiki/Large_la

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  27. My tiny brain has yet to have been convinced that AI hype is a good thing for the environment, projects it gets foisted upon, creativity, or the human psyche.

    Large language models on all corporate levels destroy everything around them.

    I've done extensive research; it's so horrific that if crying about it would revert things I would have cried the Amazone river full.

    LLMs as companions are bad news for the human Psyche. I have contact with a few victims of these LLMs who would rather {talk to} send strings to a mathematical model then speak to a real person. Serious pshychiatirc intervention is needed

    I am going to find out also why massive projects, massive open source projects seem not to care about:

    • the wasteland that those LLM driven data centers create
    • the fact that we cannot buy
    • memory
    • ssds
    • mechanical spinning hard drives
    • full computing and household devices

    ... for nomal prices, because those critical components have been hijacked by data center underlords who can't even get enough permissions to build all those projects in reality

    Part of it we all know, it's the LLM bubble, just like the house bubble in the USA some decades ago. Other part is that those underlords dont want us to owe our hardware anymore, so they can tighten their fascistic lock on the computing population.
    Look how they want to force even open source OS to age gate the systems so they can get real ID globally

    And I enjoy doing things the hard way

    I've always done my projects from the bottom up, Linux when many sources needed to be crosscompiled in the alpha days from DOS, which was fun but tedious.
    All current BSD flavours can be done that way too, if you still chose to do so, IIRC

    Thank you for your enlightning response

    @RussSharek

    sources:

    en.wikipedia.org/wiki/Large_la

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  28. My tiny brain has yet to have been convinced that AI hype is a good thing for the environment, projects it gets foisted upon, creativity, or the human psyche.

    Large language models on all corporate levels destroy everything around them.

    I've done extensive research; it's so horrific that if crying about it would revert things I would have cried the Amazone river full.

    LLMs as companions are bad news for the human Psyche. I have contact with a few victims of these LLMs who would rather {talk to} send strings to a mathematical model then speak to a real person. Serious pshychiatirc intervention is needed

    I am going to find out also why massive projects, massive open source projects seem not to care about:

    • the wasteland that those LLM driven data centers create
    • the fact that we cannot buy
    • memory
    • ssds
    • mechanical spinning hard drives
    • full computing and household devices

    ... for nomal prices, because those critical components have been hijacked by data center underlords who can't even get enough permissions to build all those projects in reality

    Part of it we all know, it's the LLM bubble, just like the house bubble in the USA some decades ago. Other part is that those underlords dont want us to owe our hardware anymore, so they can tighten their fascistic lock on the computing population.
    Look how they want to force even open source OS to age gate the systems so they can get real ID globally

    And I enjoy doing things the hard way

    I've always done my projects from the bottom up, Linux when many sources needed to be crosscompiled in the alpha days from DOS, which was fun but tedious.
    All current BSD flavours can be done that way too, if you still chose to do so, IIRC

    Thank you for your enlightning response

    @RussSharek

    sources:

    en.wikipedia.org/wiki/Large_la

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  29. My tiny brain has yet to have been convinced that AI hype is a good thing for the environment, projects it gets foisted upon, creativity, or the human psyche.

    Large language models on all corporate levels destroy everything around them.

    I've done extensive research; it's so horrific that if crying about it would revert things I would have cried the Amazone river full.

    LLMs as companions are bad news for the human Psyche. I have contact with a few victims of these LLMs who would rather {talk to} send strings to a mathematical model then speak to a real person. Serious pshychiatirc intervention is needed

    I am going to find out also why massive projects, massive open source projects seem not to care about:

    • the wasteland that those LLM driven data centers create
    • the fact that we cannot buy
    • memory
    • ssds
    • mechanical spinning hard drives
    • full computing and household devices

    ... for nomal prices, because those critical components have been hijacked by data center underlords who can't even get enough permissions to build all those projects in reality

    Part of it we all know, it's the LLM bubble, just like the house bubble in the USA some decades ago. Other part is that those underlords dont want us to owe our hardware anymore, so they can tighten their fascistic lock on the computing population.
    Look how they want to force even open source OS to age gate the systems so they can get real ID globally

    And I enjoy doing things the hard way

    I've always done my projects from the bottom up, Linux when many sources needed to be crosscompiled in the alpha days from DOS, which was fun but tedious.
    All current BSD flavours can be done that way too, if you still chose to do so, IIRC

    Thank you for your enlightning response

    @RussSharek

    sources:

    en.wikipedia.org/wiki/Large_la

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  30. 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 curl also 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

    @RussSharek

    github.com/stevelaskaridis/awe

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  31. 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 curl also 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

    @RussSharek

    github.com/stevelaskaridis/awe

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  32. 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 curl also 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

    @RussSharek

    github.com/stevelaskaridis/awe

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  33. 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 curl also 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

    @RussSharek

    github.com/stevelaskaridis/awe

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  34. 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 curl also 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

    @RussSharek

    github.com/stevelaskaridis/awe

    #LLM #AI #slop #miscreant #hallucinated #kernel #curl #Linux #BSD #investation #StopSlop #noAI #keepass #FediVerse #copilot #GitHub #Bull #kaka

  35. People who think LLMs are conscious give me serious concerns for the next 10-20 years...

    I'm already seeing it with people below 25 years of age who contact LLMs and speak to those things for hours when they are in an insomniac state. After such conversations these people are less coherent, they often refer to the LLM as a friend, with all the dangers that can come out of that train of thought.

    Out of the group that I know which do this, only two are already under professional psychiatric care

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  36. People who think LLMs are conscious give me serious concerns for the next 10-20 years...

    I'm already seeing it with people below 25 years of age who contact LLMs and speak to those things for hours when they are in an insomniac state. After such conversations these people are less coherent, they often refer to the LLM as a friend, with all the dangers that can come out of that train of thought.

    Out of the group that I know which do this, only two are already under professional psychiatric care

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  37. People who think LLMs are conscious give me serious concerns for the next 10-20 years...

    I'm already seeing it with people below 25 years of age who contact LLMs and speak to those things for hours when they are in an insomniac state. After such conversations these people are less coherent, they often refer to the LLM as a friend, with all the dangers that can come out of that train of thought.

    Out of the group that I know which do this, only two are already under professional psychiatric care

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  38. Absolute truth. This individual does not know how the mathematics physics linear algebra work within these large language models

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  39. Absolute truth. This individual does not know how the mathematics physics linear algebra work within these large language models

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  40. Absolute truth. This individual does not know how the mathematics physics linear algebra work within these large language models

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  41. Absolute truth. This individual does not know how the mathematics physics linear algebra work within these large language models

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka

  42. Absolute truth. This individual does not know how the mathematics physics linear algebra work within these large language models

    @bryce

    #LLM #hallucinated #AI #slop #investation #programming #Bull #kaka