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HomePlatformsChat BotNew 'GPT2-Chatbot' emerges mysteriously, touted as formidable rival to top AI models

New ‘GPT2-Chatbot’ emerges mysteriously, touted as formidable rival to top AI models

A mysterious newcomer has made waves in the world of AI chatbots: “gpt2-chatbot.” This enigmatic model has recently appeared on the radar following its launch on LMSYS Org’s benchmarking site.

Rumors abound regarding gpt2-chatbot’s prowess, with speculation placing it on par with OpenAI’s GPT-4, a notable achievement in the realm of language models.

Ethan Mollick, a Wharton School professor specializing in AI research, took to social media to share his initial impressions, noting similarities between gpt2-chatbot and GPT-4. Could this be a new contender in the world of advanced AI models?

Access to gpt2-chatbot is currently limited to the Chatbot Arena website, where users are restricted to a mere eight queries per day in the “side-by-side” arena mode. This limitation has fueled curiosity and anticipation among users eager to put the new model through its paces.

Despite a temporary removal from the platform due to overwhelming traffic, LMSYS Org assures users that gpt2-chatbot will resurface for wider testing and eventual public release.

Responding to inquiries about the mysterious model, LMSYS Org clarified that gpt2-chatbot is part of their community preview testing program, emphasizing its temporary nature until an official public release.

Reactions to gpt2-chatbot have been overwhelmingly positive, with some likening its capabilities to those of GPT-4.5 or even GPT-5. Notable figures, including OpenAI CEO Sam Altman, have expressed intrigue and interest in the new model’s potential.

Initial mentions of gpt2-chatbot originated on online forums like 4chan before gaining traction on social media platforms and Reddit threads, where users lauded its performance and speculated on its origins and capabilities.

In the evolving landscape of AI chatbots, gpt2-chatbot emerges as a promising contender, poised to challenge existing models and push the boundaries of language generation technology.