AI 2023. Meet ChatGPT. - page 181

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Dmytryi Nazarchuk #:
A specialist, in short....
This is a local philasopher.

There are trading philasophers here, there are MO philasophers, and there are philasophers on all topics. Master of Sports in all sports
 
Ivan Butko #:
It's the local philasopher

There are trading philasophers here, there are MO philasophers, and there are philasophers on all topics. Master of all sports

That's your personal opinion. By the way, talk to me directly.

 
Реter Konow #:

Why be rude?))

I decided to keep silent that your previous answer was completely copied from the article in your link.))) Learn to think for yourself.

? Not copied, but quoted and given the original source. Copied is if the source is not given.
 
Dmytryi Nazarchuk #:
? Not copied, but quoted and given the original source. Copypasted is if the original source is not cited.

Sounds like copypasta to me. What do you think?

 
Реter Konow #:

That's your personal opinion. By the way, talk to me directly.

Sensei says

What do you want to talk about?
 
Ivan Butko #:
Sensei says

What do you want to talk about?

Let's talk about space. Go ahead.

 
Реter Konow #:

Sounds like pure copypaste to me. What do you think?

It's rubbish.

 
Реter Konow #:

Let's talk about space. Go ahead.

A property of a small object is transferred to a property of a large object made up of small objects.

Water at every point of the spatial volume it occupies has the properties of water. If we divide it conventionally, the properties of water do not change. If we combine parts of water into one large vessel, the properties of water will not change.

Space, as a physical object that contains matter, in each of its points has the same property - freedom of movement. Only other material objects can hinder the movement of a material object in space, which together, exclusively and only - exist on the force basis, which is generated by the properties of matter.

Because of the absence of restriction on the freedom of movement and the absence of material properties, space cannot end somewhere and somehow, it, proceeding from its own properties, in principle has no spatial limitations.

Thus, generating a volume independent of matter, space extends to an infinite distance in all directions.

Question: on what basis modern science speaks about existence of the edge of the Universe, or introduces topology with substitution of the notion "flat" by the notion "volumetric" in order to loop the finite into conditionally infinite, if the notion of space even without the presence of definition by its signs does not allow even to fantasise and speculate on the subject of its finiteness.
 

Researchers argue that generative AI tools can produce low-quality answers to user queries because their models are trained on "synthetic data" rather than the unique human content that makes their answers special.

Other AI researchers have coined their own terms to describe this learning method. In a study published in July, researchers from Stanford and Rice universities called it "Model Autograph Syndrome," in which an AI's "self-absorbed" cycle of learning content created by other AIs can cause generative AI tools to be "doomed" to degrade the "quality" and "diversity" of the images and text they create

Jathan Sadowski, a senior researcher at the Emerging Technologies Research Laboratory in Australia who studies AI, has labelled this phenomenon "Habsburg AI", arguing that systems trained on the output of other generative AI tools can create "mutilated response mutations".

While the specific implications of these phenomena remain unclear, some technology experts believe that "model collapse" can make it difficult to determine the original source of the information on which an AI model is trained. As a result, providers of accurate information, such as the media, may decide to restrict their content to prevent it from being used to train AI. Ray Wang, CEO of technology research firm Constellation Research, suggested in an essay that this could give rise to an "era of public information darkness."


 
Sergey Gridnev #:

The researchers argue that generative AI tools can produce low-quality answers to user queries because their models are trained on "synthetic data" rather than the unique human content that makes their answers special.


Other AI researchers have coined their own terms to describe this learning method. In a study published in July, researchers from Stanford and Rice universities called it the "Model Autograph Syndrome," in which an AI's "self-absorbed" cycle of learning content created by other AIs can cause generative AI tools to be "doomed" to degrade the "quality" and "diversity" of the images and text they create

Jathan Sadowski, a senior researcher at the Emerging Technologies Research Laboratory in Australia who studies AI, has labelled this phenomenon "Habsburg AI", arguing that systems trained on the output of other generative AI tools can create "mutilated mutations of responses".

While the specific implications of these phenomena remain unclear, some technology experts believe that "model collapse" can make it difficult to determine the original source of the information on which an AI model is trained. As a result, providers of accurate information, such as the media, may decide to restrict their content to prevent it from being used to train AI. Ray Wang, CEO of technology research firm Constellation Research, suggested in an essay that this could give rise to an "era of public information darkness."

Understandable. Logical. Reasonable. The more actively this AI develops, the faster it will choke on its own....

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