Silicon Valley Initiates Largest-ever Internal Testing, Huge Prospects for AI Application

Silicon Valley is undergoing an unprecedented "self-testing" experiment, with major tech companies internally testing large language models and generative AI tools to improve and optimize their business processes. Giants like Google and Microsoft are using this method to identify potential issues before a broad rollout and adjust product design based on employee feedback, as Google's Anthony Vallone highlighted in 2014.

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The scale and potential impact of this experiment are unparalleled, with its outcomes set to directly influence the practical effectiveness of AI products and their market success. For the tech industry, trillions of dollars in investments and millions of jobs could be affected by the results.

Google and Microsoft have already started leveraging AI tools to optimize operations internally, such as Google's Goose model aimed at assisting developers in coding more efficiently, and Microsoft enhancing employee productivity with the 365 Copilot AI. These practices not only demonstrate the potential of AI technology but also provide powerful promotional examples for their products to customers.

As AI technology advances, the future employment landscape in the tech industry could shift, with automation and increased efficiency potentially reducing the demand for high-paying tech positions. This trend is already evident in companies like Google, which seek more efficient operational methods through automation.

In summary, Silicon Valley's experiment is testing the practicality of AI technology and may redefine how major tech companies operate and the future trends in employment.

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