Is ChatGPT old news already? It seems impossible, with the explosion of AI popularity seeping into every aspect of our lives – whether it’s digital masterpieces forged with the best AI art generators or helping us with our online shopping.

But despite being the leader in the AI arms race – and powering Microsoft’s Bing AI – it looks like ChatGPT might be losing momentum. According to SimilarWeb, traffic to OpenAI’s ChatGPT site dropped by almost 10% compared to last month, while metrics from Sensor Tower also demonstrated that downloads of the iOS app are in decline too.

As reported by Insider, paying users of the more powerful GPT-4 model (access to which is included in ChatGPT Plus) have been complaining on social media and OpenAI’s own forums about a dip in output quality from the chatbot.

A common consensus was that GPT-4 was able to generate outputs faster, but at a lower level of quality. Peter Yang, a product lead for Roblox, took to Twitter to decry the bot’s recent work, claiming that “the quality seems worse”. One forum user said the recent GPT-4 experience felt “like driving a Ferrari for a month then suddenly it turns into a beaten up old pickup”.

Why is GPT-4 suddenly struggling?

Some users were even harsher, calling the bot “dumber” and “lazier” than before, with a lengthy thread on OpenAI’s forums filled with all manner of complaints. One user, ‘bitbytebit’, described it as “totally horrible now” and “braindead vs. before”.

According to users, there was a point a few weeks ago where GPT-4 became massively faster – but at a cost of performance. The AI community has speculated that this could be due to a shift in OpenAI’s design ethos behind the more powerful machine learning model – namely, breaking it up into multiple smaller models trained in specific areas, which can act in tandem to provide the same end result while being cheaper for OpenAI to run.

OpenAI has yet to officially confirm this is the case, as there has been no mention of such a major change to the way GPT-4 works. It’s a credible explanation according to industry experts like Sharon Zhou, CEO of AI-building company Lamini, who described the multi-model idea as the “natural next step” in developing GPT-4.

AIs eating AIs

However, there’s another pressing problem with ChatGPT that some users suspect could be the cause of the recent drop in performance – an issue that the AI industry seems largely unprepared to tackle.

If you’re not familiar with the term ‘AI cannibalism’, let me break it down in brief: large language models (LLMs) like ChatGPT and Google Bard scrape the public internet for data to be used when generating responses. In recent months, a veritable boom in AI-generated content online – including an unwanted torrent of AI-authored novels on Kindle Unlimited – means that LLMs are increasingly likely to scoop up materials that were already produced by an AI when hunting through the web for information.

This runs the risk of creating a feedback loop, where AI models ‘learn’ from content that was itself AI-generated, resulting in a gradual