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Ever since ChatGPT kicked off the AI revolution, major tech companies have been on their toes to develop the next big thing in generative AI. Now, in line with these efforts, Apple is reportedly testing its own AI chatbot, which some engineers are unofficially referring to as “Apple GPT.”
While the specific details about the Apple GPT chatbot remain unclear, it will run on the company’s newly developed “Ajax” framework, a collaboration between Apple and Google’s JAX machine learning framework and Google Cloud. Additionally, the chatbot will primarily focus on addressing privacy and security concerns associated with other chatbots like OpenAI’s ChatGPT and Google’s Bard.
Moreover, Bloomberg’s Mark Gurman reported that the internal tests for the chatbot show promising results, as employees are leveraging its text summarization and question-answering capabilities to streamline and optimize the product development process.
Apple’s stance on generative AI
This report comes after CEO Tim Cook expressed the company’s keen interest in AI technology and emphasized the need to carefully monitor the field’s advancements. However, it is important to note that Cook also highlighted the importance of addressing various issues before the widespread adoption of AI products during an earnings call.
“I do think it’s very important to be deliberate and thoughtful on how you approach these things. There’s a number of issues that need to be sorted…in a number of different places, but the potential is certainly very interesting,” said Tim Cook.
Breathing a new life in Siri
While it’s too early to say Apple’s intention behind developing a generative AI chatbot, one possible reason could be to revamp Siri, which has fallen behind competitors like Google Assistant. This is because integrating the Apple GPT chatbot into Siri could potentially be a game-changer, enabling users to interact more naturally with the voice assistant without relying on specific phrases. Moreover, the company is also actively hiring new engineers, especially those with a deep understanding of large language models and generative AI.
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