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Openai chatgpt decline
What are the reasons for openai chatgpt decline?
Traffic to ChatGPT website has decreased for the first time since its launch.
Reuters shared that ChatGPT’s explosive growth recorded first decline in traffic since launch. ChatGPT, the wildly popular AI chatbot which was first launched in November, recorded monthly traffic to its website including unique visitors decrease for the first time ever in June, according to analytics firm Similarweb.
AI fatigue seems to be upon us: Traffic to OpenAI’s website has dropped for the first time since the company launched the viral chatbot ChatGPT in November.
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Web analytics firm CompareWeb reported this week that global traffic to OpenAI’s ChatGPT website, both desktop and mobile, fell 9.7 percent in June. In the US alone, the drop in visitor numbers is estimated at 10.3 percent.
At the same time, worldwide unique visitors to the ChatGPT website fell by 5.7 percent. CompareWeb also reported that time spent on the website also decreased by 8.5 percent. This is the first reported traffic drop since OpenAI launched ChatGPT eight months ago.
“The question is whether OpenAI management is frustrated by the drop in traffic. Originally launched as a technology demo, ChatGPT primarily serves as a loss-generating sales lead for OpenAI, making its technology available to other companies to incorporate into their applications,” said David Carr, senior manager of insights at CompareWeb, a company wrote in the release.
OpenAI did not immediately respond to Gizmodo’s request for comment on the reduced traffic.
The trend is not unprecedented, although SimilarWeb said in May that traffic to the ChatGPT website had begun to decline, suggesting that the decline in June was likely not just a fluke.
Bank of America also discovered that it’s not just website visits that are declining. According to Bank of America analysts, citing data from Sensor Tower, CNBC reported that ChatGPT and Microsoft Bing downloads fell 38% between May and June.
ChatGPT’s erratic website traffic may be a sign that chatbots’ mass appeal is waning, and while chatbots have rapidly gained prominence in recent months, it hasn’t been without its challenges.
A recent study by researchers at the University of California Irvine and the University of Texas Arlington found that 185,000 gallons or 700,000 liters of water were needed to train ChatGPT GPT3. Although it relies heavily on water to function, ChatGPT also relies on human employees who may be salaried. US-based human contractors involved in tagging data to help train chatbots earn as little as $15 an hour.