What do you use AI for?

I use ChatGPT to write satanic prayers and sermons for my cult. Seriously, I have so much more time for black magic now

I'm pretty unhappy with the service, chatgpt did such a good job of summoning that now I don't know where to put the 130-feet tall green colossus with scales and algae with bat wings, which have a beard like of octopus tentacles. He's in my house, currently in the bathroom. The problem is that he drinks beer like a tourist at Oktoberfest and all the stores are running out of beer because of him.

@MusicGarlic said in #9: > I use ChatGPT to write satanic prayers and sermons for my cult. Seriously, I have so much more time for black magic now I'm pretty unhappy with the service, chatgpt did such a good job of summoning that now I don't know where to put the 130-feet tall green colossus with scales and algae with bat wings, which have a beard like of octopus tentacles. He's in my house, currently in the bathroom. The problem is that he drinks beer like a tourist at Oktoberfest and all the stores are running out of beer because of him.

Mishi2306

#12

I use ai, to get ideas and how to make my art look better, it generates pictures for me to draw! :)

Mishi2306

edited

#13

@SKLAMLSDKN said in #10:

its reason is for u not to be here anymore if it do everything u do , why need human if AI can do all the same?

I personally use AI for... private *** talk , u do not need know

Because, without humans, there would be no such thing as ai, ai uses responses and pattern recognition from lots of data and then summarises it using human vocabulary, so basically whatever you're reading from ai, isn't made by ai, its just parts from different answers that humans gave for that question.

@SKLAMLSDKN said in #10: > its reason is for u not to be here anymore if it do everything u do , why need human if AI can do all the same? > > I personally use AI for... private *** talk , u do not need know Because, without humans, there would be no such thing as ai, ai uses responses and pattern recognition from lots of data and then summarises it using human vocabulary, so basically whatever you're reading from ai, isn't made by ai, its just parts from different answers that humans gave for that question.

MusicGarlic

#14

@SKLAMLSDKN said in #10:

its reason is for u not to be here anymore if it do everything u do , why need human if AI can do all the same?

Can't eat an IA

@SKLAMLSDKN said in #10: > its reason is for u not to be here anymore if it do everything u do , why need human if AI can do all the same? Can't eat an IA

MusicGarlic

#15

@CSKA_Moscou said in #11:

I'm pretty unhappy with the service, chatgpt did such a good job of summoning that now I don't know where to put the 130-feet tall green colossus with scales and algae with bat wings, which have a beard like of octopus tentacles. He's in my house, currently in the bathroom. The problem is that he drinks beer like a tourist at Oktoberfest and all the stores are running out of beer because of him.

Abjuration in the context of demons typically refers to spells or abilities that can banish or negate the presence of summoned demons. This can include using spells like "dispel magic" or "antimagic field" to counteract their effects or send them back to their origin. By mastering these concepts and techniques, you can effectively utilize demon abjuration in your magical practices.

For real though, there is no way you could have summoned a colossus with chatgpt, come on. You need a toad, a full moon and all the bells and whistles. Otherwise your colossus just farts and disappears.

@CSKA_Moscou said in #11: > I'm pretty unhappy with the service, chatgpt did such a good job of summoning that now I don't know where to put the 130-feet tall green colossus with scales and algae with bat wings, which have a beard like of octopus tentacles. He's in my house, currently in the bathroom. The problem is that he drinks beer like a tourist at Oktoberfest and all the stores are running out of beer because of him. Abjuration in the context of demons typically refers to spells or abilities that can banish or negate the presence of summoned demons. This can include using spells like "dispel magic" or "antimagic field" to counteract their effects or send them back to their origin. By mastering these concepts and techniques, you can effectively utilize demon abjuration in your magical practices. For real though, there is no way you could have summoned a colossus with chatgpt, come on. You need a toad, a full moon and all the bells and whistles. Otherwise your colossus just farts and disappears.

personal research

School mainly
Sometimes for learning extra, especially about chemistry math and astronomy
And sometimes rage baiting it lol

School mainly Sometimes for learning extra, especially about chemistry math and astronomy And sometimes rage baiting it lol

CSKA_Moscou

edited

#18

@MusicGarlic said in #15:

Abjuration in the context of demons typically refers to spells or abilities that can banish or negate the presence of summoned demons. This can include using spells like "dispel magic" or "antimagic field" to counteract their effects or send them back to their origin. By mastering these concepts and techniques, you can effectively utilize demon abjuration in your magical practices.

For real though, there is no way you could have summoned a colossus with chatgpt, come on. You need a toad, a full moon and all the bells and whistles. Otherwise your colossus just farts and disappears.

chatgpt provided me with the toad and generated a full moon image, except that the problem was the full moon image because this moon was shaped like a donut, probably it played in the process.

in the meantime, because of chatgpt I also have a giant Temu troll that is of poor quality and I discovered that the toilets talk, which means they are constantly arguing with Ctulhu.

I asked chatgpt what to do, he told me that I have to summon a benevolent spirit from the house, but I already has done that - it's the Temu troll that I summoned previously

@MusicGarlic said in #15: > Abjuration in the context of demons typically refers to spells or abilities that can banish or negate the presence of summoned demons. This can include using spells like "dispel magic" or "antimagic field" to counteract their effects or send them back to their origin. By mastering these concepts and techniques, you can effectively utilize demon abjuration in your magical practices. > > For real though, there is no way you could have summoned a colossus with chatgpt, come on. You need a toad, a full moon and all the bells and whistles. Otherwise your colossus just farts and disappears. chatgpt provided me with the toad and generated a full moon image, except that the problem was the full moon image because this moon was shaped like a donut, probably it played in the process. in the meantime, because of chatgpt I also have a giant Temu troll that is of poor quality and I discovered that the toilets talk, which means they are constantly arguing with Ctulhu. I asked chatgpt what to do, he told me that I have to summon a benevolent spirit from the house, but I already has done that - it's the Temu troll that I summoned previously

MusicGarlic

#19

Ayayay bro... Try the 7th Scriabin and Domestos Pine Fresh Extended Power or go to https://exorcismus.org/

NeuralGnat

#20

I decided to ask AI a silly question: Is it possible for AI to eat its tail and disappear into nothingness?

Surprisingly, it gave a hopeful response (There were a few diagrams that the copy-and-paste couldn't capture):

"Yes, it is theoretically possible for AI to enter a self-destructive cycle where it effectively "eats its own tail," but this doesn't lead to complete disappearance - rather, it leads to a gradual degradation of functionality. This phenomenon is known as "model collapse."
The ouroboros symbolizes AI's potential self-referential degradation
mindmatters.ai

Let me illustrate how this process works:
The stages and effects are described in
northcountrypublicradio.org
and
northcountrypublicradio.org
, with the final state characteristics coming from
northcountrypublicradio.org
.
Looking at the diagram, I should explain a few key elements to ensure clarity:

The color progression from green to red might benefit from explicit interpretation
The dotted line back to the initial state needs explanation
The concept of "synthetic data" might not be clear to all users

I'll continue the answer with a brief explanation of these elements before moving into the detailed breakdown of the process.

In this diagram, the colors represent the health of the AI system, transitioning from healthy (green) to severely degraded (red). While the system appears to loop back to its initial state, this represents the possibility of intervention - developers can revert to earlier versions and restart with fresh, human-curated data

northcountrypublicradio.org
.

Here's how this collapse occurs in detail:

Initial Degradation
When AI models are trained primarily on data generated by other AI models
Errors begin to compound across generations
The system becomes increasingly dependent on patterns it has already seen

mindmatters.ai

Progressive Deterioration

Probable events become overemphasized
Rare but important events ("tails") disappear from the model's understanding
Models become more confident in their predictions, despite being less accurate

northcountrypublicradio.org

Final State Characteristics

Near-zero variance in outputs
Repetitive, nonsensical responses
Complete loss of original functionality

northcountrypublicradio.org

Real-world examples demonstrate this effect:

Researchers trained an AI model on architectural descriptions, which by the 10th generation became obsessed with jackrabbits and produced completely nonsensical text

mindmatters.ai
Microsoft's MSN portal began producing garbled, incomprehensible articles after relying heavily on AI generation without human oversight

mindmatters.ai

While complete disappearance isn't possible, the degradation can be severe enough to render the system useless. However, researchers emphasize that this collapse isn't inevitable - it can be prevented through proper data filtering and human intervention
northcountrypublicradio.org
. The key is maintaining high-quality, diverse training data rather than allowing the system to feed solely on its own outputs."

I decided to ask AI a silly question: Is it possible for AI to eat its tail and disappear into nothingness? Surprisingly, it gave a hopeful response (There were a few diagrams that the copy-and-paste couldn't capture): "Yes, it is theoretically possible for AI to enter a self-destructive cycle where it effectively "eats its own tail," but this doesn't lead to complete disappearance - rather, it leads to a gradual degradation of functionality. This phenomenon is known as "model collapse." The ouroboros symbolizes AI's potential self-referential degradation mindmatters.ai Let me illustrate how this process works: The stages and effects are described in northcountrypublicradio.org and northcountrypublicradio.org , with the final state characteristics coming from northcountrypublicradio.org . Looking at the diagram, I should explain a few key elements to ensure clarity: 1. The color progression from green to red might benefit from explicit interpretation 2. The dotted line back to the initial state needs explanation 3. The concept of "synthetic data" might not be clear to all users I'll continue the answer with a brief explanation of these elements before moving into the detailed breakdown of the process. In this diagram, the colors represent the health of the AI system, transitioning from healthy (green) to severely degraded (red). While the system appears to loop back to its initial state, this represents the possibility of intervention - developers can revert to earlier versions and restart with fresh, human-curated data northcountrypublicradio.org . Here's how this collapse occurs in detail: Initial Degradation When AI models are trained primarily on data generated by other AI models Errors begin to compound across generations The system becomes increasingly dependent on patterns it has already seen mindmatters.ai Progressive Deterioration Probable events become overemphasized Rare but important events ("tails") disappear from the model's understanding Models become more confident in their predictions, despite being less accurate northcountrypublicradio.org Final State Characteristics Near-zero variance in outputs Repetitive, nonsensical responses Complete loss of original functionality northcountrypublicradio.org Real-world examples demonstrate this effect: Researchers trained an AI model on architectural descriptions, which by the 10th generation became obsessed with jackrabbits and produced completely nonsensical text mindmatters.ai Microsoft's MSN portal began producing garbled, incomprehensible articles after relying heavily on AI generation without human oversight mindmatters.ai While complete disappearance isn't possible, the degradation can be severe enough to render the system useless. However, researchers emphasize that this collapse isn't inevitable - it can be prevented through proper data filtering and human intervention northcountrypublicradio.org . The key is maintaining high-quality, diverse training data rather than allowing the system to feed solely on its own outputs."

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