ChatGPT produces content that is comprehensive and plausibly accurate.
But researchers, artists, and professors warn of shortcomings to be aware of which degrade the quality of the content.
In this article, we’ll look at 5 disadvantages of ChatGPT content.
Let’s dive in.
1. Phrase Usage makes it No Human Like
Researchers working on machine-generated content detection have discovered unique characteristics that make it sound unnatural. One of these habits is the difficulty AI has when producing idiomatic expressions. Idioms are phrases or sayings with a figurative meaning, such as “every cloud has a silver lining.” When AI written texts lack idioms, this can be an indication that the content is not written by a human and could be used as part of a detection algorithm.
This is what the 2022 research paper Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers says about this quirk in machine-generated content:
“Complex phrasal features are based on the frequency of specific words and phrases within the analyzed text that occur more frequently in human text.
…Of these complex phrasal features, idiom features retain the most predictive power in detection of current generative models.”
2. ChatGPT Lacks Expression
In response to an opinion on ChatGPT’s output, it is clear that imitation of artistic expression cannot be equated with true artistic expression. Expression involves more than just words – it requires emotion, thought and feeling which can only be produced by humans. Even in the case of ConversationAI (ChatGPT), this falls short in comparison to creating genuine pieces of work. Nick Cave himself shared an example of ChatGPT mimicry after being sent an imitation lyric created in his style.
He wrote:
“What makes a great song great is not its close resemblance to a recognizable work.
…it is the breathless confrontation with one’s vulnerability, one’s perilousness, one’s smallness, pitted against a sense of sudden shocking discovery; it is the redemptive artistic act that stirs the heart of the listener, where the listener recognizes in the inner workings of the song their own blood, their own struggle, their own suffering.”
3. ChatGPT uses a lot of words
In January 2023, a research paper titled “How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection” revealed inconsistencies in ChatGPT’s responses that make them less suitable for certain applications. The findings indicated that more than 50% of questions about finance and psychology prompted human preference for answers from the AI bot. However, when it came to medical questions, direct responses were preferred – something not provided by ChatGPT.
The Researcher Wrote:
“…ChatGPT performs poorly in terms of helpfulness for the medical domain in both English and Chinese.
The ChatGPT often gives lengthy answers to medical consulting in our collected dataset, while human experts may directly give straightforward answers or suggestions, which may partly explain why volunteers consider human answers to be more helpful in the medical domain.”
4. ChatGPT is Highly Organized
ChatGPT presents an automated writing style that follows a template, giving the content an unnatural quality distinct from that of human writers. This difference between machine-generated writing and naturally generated writing can be observed in scenes like the Voight-Kampff test from Blade Runner, where questions are used to differentiate humans from replicants.
5. ChatGPT Is Overly Detailed
To ensure that ChatGPT produced satisfactory output, it was trained on a reward system specifically to prioritize responses preferred by human raters, who often favored more detailed answers. Nevertheless, certain scenarios necessitate direct, concise replies; in such circumstances the program must be conditioned to shift its focus away from comprehensiveness and toward immediacy.
From OpenAI:
“These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.”
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