{"id":20227,"date":"2023-07-25T03:34:52","date_gmt":"2023-07-25T03:34:52","guid":{"rendered":"https:\/\/nftandcrypto-news.com\/nft\/is-chatgpt-getting-worse-with-time-a-new-study-says-yes\/"},"modified":"2023-07-25T03:34:54","modified_gmt":"2023-07-25T03:34:54","slug":"is-chatgpt-getting-worse-with-time-a-new-study-says-yes","status":"publish","type":"post","link":"https:\/\/nftandcrypto-news.com\/nft\/is-chatgpt-getting-worse-with-time-a-new-study-says-yes\/","title":{"rendered":"Is ChatGPT Getting Worse with Time? A New Study Says Yes"},"content":{"rendered":"
Recent observations from users and now researchers suggest that ChatGPT, the renowned artificial intelligence (AI) model developed by OpenAI, may be exhibiting signs of performance degradation. However, the reasons behind these perceived changes remain a topic of debate and speculation.<\/p>\n
Last week, a study emerged from a collaboration between Stanford University and UC Berkeley which was published in the ArXiv preprint archive and highlighted noticeable differences in the responses of GPT-4 and its predecessor, GPT-3.5, over a span of a few months since the former\u2019s March 13 debut.<\/p>\n
One of the most striking findings was GPT-4\u2019s reduced accuracy in answering complex mathematical questions. For instance, while the model demonstrated a high success rate (97.6 percent) in answering queries about large-scale prime numbers in March, its accuracy in answering that same prompt correctly plummeted to a mere 2.4 percent in June. <\/p>\n
The study also pointed out that, while older versions of the bot offered detailed explanations for their answers, the latest iterations seemed more reticent, often forgoing step-by-step solutions even when explicitly prompted. Interestingly, during the same period, GPT-3.5 showed improved capabilities in addressing basic math problems, though it still struggled with more intricate code generation tasks.<\/p>\n