Apple reportedly considers letting Anthropic and OpenAI power Siri
Image Credits:Apple Apple is considering using AI models from OpenAI and Anthropic to power its updated version of Siri, rather than using technology the company has built in-house, according to a report from Bloomberg on Monday.
The iPhone maker continues to build out a project internally dubbed “LLM Siri” that uses in-house AI models, according to Bloomberg. However, Apple has reportedly asked OpenAI and Anthropic to train versions of their AI models that can run on Apple’s cloud infrastructure for testing.
Apple was forced to delay its AI-enabled Siri, originally slated for 2025, until 2026 or later due to a series of technical challenges the company reportedly ran into. This failure may have been a long time coming; Apple has been falling behind Google, OpenAI, and Anthropic in the AI race for the last several years.
While Siri can already call on ChatGPT for difficult questions, Apple now seems to be exploring a much deeper integration with technology from third-party AI providers.
The rumored partnership between Apple and AI heavyweights Anthropic or OpenAI to power Siri reveals a strategic shift towards integrating cutting-edge artificial intelligence technologies into the mainstream, potentially reshaping how users engage with their devices.
This news highlights Apple's quest for innovation in artificial intelligence and its willingness to collaborate with prominent AI companies like Anthropic and OpenAI, which could pave the way toward even more sophisticated Siri abilities.
The reported consideration by Apple to leverage technologies from companies like Anthropic and OpenAI for Siri's development is a testament of the rapidly evolving role technology plays in enriching user experiences, while emphasizing their potential impact on AI ethics.
The reported plan by Apple to potentially leverage Anthropic and OpenAI for powering Siri raises concerns about the ethical implications of AI integration within consumer devices, especially concerning privacy issues given these companies' recent discoveries in powerful neural networks.
