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Moss: ChatGPT’s Chinese competitor fails to keep up with demand and shuts down

  • February 23, 2023
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Last Monday (20) China launched a new artificial intelligence (AI) chatbot called MOSS for public testing, potentially competing with a US-made chatbot, ChatGPT. However, on Tuesday (12), the

Last Monday (20) China launched a new artificial intelligence (AI) chatbot called MOSS for public testing, potentially competing with a US-made chatbot, ChatGPT. However, on Tuesday (12), the Fudan University of China team that developed the chatbot platform apologized for the platform crashing hours after its public launch due to a sudden increase in traffic.

02/21/2023 at 13:00
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The launch of the MOSS platform caused an uproar on Chinese social media following its announcement. The news instantly went viral, garnering tens of millions of views on Weibo, a Twitter-like platform. Chinese state media have named MOSS as the first Chinese competitor to the successful ChatGPT platform.

However, the expectations associated with MOSS fell short after the platform crashed shortly after its release. The team responsible for developing the Chinese chatbot has released a statement that it will no longer be open to the public.

It is noteworthy that the name MOSS is a tribute to the superintelligent quantum computer featured in the Chinese science fiction film The Wandering Earth 2.

promise of improvements

MOSS, an artificial intelligence chatbot recently launched in China and seen as a possible competitor to ChatGPT in the US, is facing significant development challenges. One of them is its limited ability to understand Chinese, which is mainly due to the cluttered content on the Chinese web pages used to train the model. To try to overcome this shortcoming, Fudan University’s Natural Language Processing Lab has focused on checking Chinese text content for the next phase of MOSS training.

In a statement posted on their website, the Fudan University team acknowledged that MOSS is still an immature model and has a long way to go to compete with ChatGPT. “An academic research lab like ours can’t create a model comparable in performance to ChatGPT.“, they said.

The team also lamented that their computing resources are not enough to support the huge traffic generated by running the chatbot. “As an academic group, we don’t have enough engineering experience, which created a very bad experience and first impression for everyone. We hereby offer our sincere apologies to all“, they concluded.

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