OpenAI give reasons why GPT-4 became “lazy”


In a recent post on X, OpenAI acknowledged receipt of the complaints made by some users about GPT-4. The users claim that when using GPT-4 or ChatGPT API in recent times, the response is very slow and perfunctory during peak times. In some cases, it refuses to answer and in others, there is interruption in the conversation if there is a series of questions. According to The Independent, the above issues usually manifest if the user requests GPT-4 to enter a piece of code. It may only provide some information, and then instruct the user to fill in the remaining parts. Sometimes, GPT-4 even tells people “You can do this yourself .”

In response, OpenAI said that it has received feedback about GPT-4 getting lazy. The company said this is because it has not updated the model since November 11. This is about one month ago. However, OpenAI said that not updating the model is not intentional and it is working to fix it.

In an X post, the company said

“We’ve heard all your feedback about GPT4 getting lazier! We haven’t updated the model since Nov 11th, and this certainly isn’t intentional. Model behaviour can be unpredictable, and we are looking into fixing it”

Although the company acknowledged the above facts, so far OpenAI has not completely solved this problem. Apart from the lack of an update, no specific reasons have been made public. We can not report specific reasons based on speculation and rumours. We only report official information from OpenAI. The company has not spoken so there is no specific reason for the behaviour. The company did not also state when it will release an update for the model. 

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GPT-4 Brief History

OpenAI’s GPT-4, released on March 14th, 2023, is a large-scale, multimodal model that has been lauded for its advancements in language processing and understanding. The state-of-the-art artificial intelligence language model has been praised for its ability to accept image and text inputs and produce text outputs. It has shown improvements over its predecessors, particularly in tasks requiring complex reasoning abilities, higher context length, or image processing. However, it has been noted that GPT-4 has limitations, such as not being fully reliable and having a limited context window. These limitations may contribute to the perception of “laziness” in certain tasks.

GPT-4

OpenAI conducted a user-based evaluation comparing GPT-3.5 and GPT-4, which revealed that 70% of users preferred GPT-4’s responses. This indicates a generally positive reception of GPT-4’s outputs. However, there are also reports that GPT-4 did not perform well in certain tasks, especially when asked to self-replicate. This could be interpreted as “laziness” in specific contexts.

A study has been conducted to evaluate the consistency of feedback ratings generated by GPT-4. The results revealed a high interrater reliability, suggesting that GPT-4 is capable of generating consistent ratings across repetitions with a clear style and content differentiation. While this does not directly address the claim of “laziness,” it provides insights into the model’s reliability in generating consistent feedback.

Final Words

OpenAI has confirmed receipt of complaints that GPT-4 is getting lazy. The company said that the model had not gotten an update for one month. OpenAI’s GPT-4 has demonstrated significant advancements in language processing and understanding. While it has received positive feedback in many areas, there are also reports of limitations and subpar performance in certain tasks. The claim of “laziness” may stem from these limitations.

Author Bio

Efe Udin is a seasoned tech writer with over seven years of experience. He covers a wide range of topics in the tech industry from industry politics to mobile phone performance. From mobile phones to tablets, Efe has also kept a keen eye on the latest advancements and trends. He provides insightful analysis and reviews to inform and educate readers. Efe is very passionate about tech and covers interesting stories as well as offers solutions where possible.



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