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Microsoft and OpenAI reportedly argued over generative AI, with Sam Altman-run ChatGPT developer warning Satya Nadella-run tech giant to take its time incorporating GPT-4 into its Bing search engine. However, according to The Wall Street Journal, Microsoft went forward with adding GPT-4 technology into Bing “despite warnings that it may take time to minimise the inaccurate and strange responses.” According to the study, OpenAI cautioned against releasing a chatbot based on an unpublished version of GPT-4 too soon. “The rollouts of ChatGPT last autumn and Microsoft’s AI-infused Bing months later also created tension,” according to a study published late Tuesday.
Microsoft employees were concerned that “ChatGPT would steal the thunder from the new Bing.” Some others also suggested that Bing may benefit from the lessons acquired from how the general public used ChatGPT.
Users reported inaccurate replies and concerns about encounters with the programme after A Bing Chat was launched earlier this year. Microsoft instantly restricted Bing Chat responses to prevent the AI from becoming bizarre. According to the study, some Microsoft researchers “complain about the limited access to Generative AI’s technology.”
According to the study, “while a select few teams within Microsoft have access to the model’s inner workings such as its code base and model weights, the majority of the company’s teams do not.” Generative AI models and technology are licensed by Microsoft for usage in Bing, Azure, Office, Windows, and other products.
The Generative AI-powered Bing chatbot from Microsoft has already been released.
Generative AI-powered Bing chatbot
The AI-powered Bing chatbot is a conversational agent developed by Microsoft that utilizes artificial intelligence (AI) technology to interact with users and provide assistance. It is designed to understand and respond to user queries, provide information, offer suggestions, and perform various tasks using the Bing search engine’s capabilities. The chatbot leverages natural language processing and machine learning techniques to improve its understanding and responses over time, creating a more engaging and helpful user experience.