Examples Of Chatgpt Being Right And Wrong On Stack Exchange Meta Do you have examples of chatgpt answers being right, mostly right, wrong or flat out wrong? how many of those were deleted, edited, or handled in some other way? remember that it isn't just banned because it is terrible at answering certain types of question. As a language model, chatgpt is not designed to provide answers to specific questions, especially those related to a specific topic or subject. instead, it uses a large corpus of text to generate responses based on the input it receives.
Examples Of Chatgpt Being Right And Wrong On Stack Exchange Meta Following up from the bustling discussion as a consequence of the temporary chatgpt ban, i guess the big gaping question is how can one determine if an answer used chatgpt? as an example, @akx suggests that there are some tells: answers that start with " it looks like the issue ", or " to fix this ", or those that ends with " i hope this helps " are heuristics. but we can't confirm that. I think that using a concrete example of a statistics question posed on this site, and the poor quality of chatgpt's response, is a great way to illustrate why chatgpt (and similar) are not good ways to generate answers. Answers generated using chatgpt are banned on many stack exchange sites. this is mainly because they aren't particularly accurate or useful, and are often misleading. Lately, the use of chatgpt on the network has become controversial, with stack overflow completely banning using generated text for content and several other sites considering bans.
Examples Of Chatgpt Being Right And Wrong On Stack Exchange Meta Answers generated using chatgpt are banned on many stack exchange sites. this is mainly because they aren't particularly accurate or useful, and are often misleading. Lately, the use of chatgpt on the network has become controversial, with stack overflow completely banning using generated text for content and several other sites considering bans. However, it is important to note that language models like chatgpt are not capable of understanding the context or meaning of the words they use to generate responses. they are trained to produce text based on the input they receive, but they do not have the ability to think or reason like a human. Back in december 2022, an ai chatbot chatgpt was released to the public. it is really sophisticated that it can also answer many kinds of questions, regardless if it is factually correct or wrong. it has been banned on stack overflow and made official due to the disruption it caused. Ai trainers would be very keen to know why chatgpt gets an argument wrong. however, they (and i) can attest to the fact that this is embedded in the training of the gpt, which is non mathematical (and perhaps even inaccessible to us) in nature. Other sites in the stack exchange network have banned its use. the most notorious case is stack overflow, as it added a help centre article describing its ban on gpt and chatgpt generated answers.
Comments are closed.