fw: What GPT-3 "thinks" of GPT-3

[John F Sowa]

See below for a criticism of GPT-3 by GPT-3.

 

The person who asked the question and received the answer below wrote that GPT-3 keeps getting better and better.

 

That is true.  But the only thing it does is to search, find, and compile information, which it then converts to a nicely written English summary.  It does not do any kind of reasoning, evaluation, or explanation of what it finds.

 

For serious applications, it should attach footnotes with links for each point it makes.  Those footnotes and links would enable reporters and even scientific researchers to use it for their own work,

 

In fact, I would like to use such a system for my own R & D.  I usually start with a considerable body of material that I have accumulated on my own.  But I always appreciate links to relevant material I may have missed.

 

However, I would *never* accept contributions without citations from anybody, certainly not a mindless thing like GPT-N.

 

John

 

 

 

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From: An offline note by an Ontolog subscriber

In answer to the question (something like) "What are the problems of GPT-3",  it responded:

As with any technology, there are potential limitations and drawbacks to using GPT-3. One potential problem with GPT-3 is that it is a large and complex model, which can make it difficult to use and deploy in some applications. GPT-3 requires a significant amount of computational resources to run, which can make it challenging to use in real-time applications or on low-powered devices. In addition, GPT-3 is a "black box" model, which means that it is difficult to interpret how it makes decisions and generates text. This lack of interpretability can make it difficult to understand and control the output of the model, which can be a problem in applications where the generated text needs to be highly accurate and reliable. Finally, GPT-3, like other language processing models, can generate biased or offensive text if it is trained on biased data. This can be a problem if the generated text is used in sensitive applications, such as in healthcare or education, where it is important to avoid bias and promote inclusivity.

[alex.shkotin]

Here there are two interesting QA: one in the post and one in the comment.

https://www.facebook.com/groups/propBitDev/posts/3402220950047876/

Alex

суббота, 10 декабря 2022 г. в 08:56:00 UTC+3, John F Sowa:

[dr.matt...@gmail.com]

Dear John,

Did you ask it to provide footnotes and sources?

Regards

Matthew West

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[Jon Awbrey]

Matthew, John, ...

I've already seen discussion of this point in other forums.
Apparently, the GrandPlagiarismTheft Automaton is just as
capable of making up fake sources as making up fake facts.

Jon