Google’s new Pixel 9 Pro and Pro XL have garnered significant attention due to their redesigned aesthetics and advanced AI features. Among these features are the Pixel Studio, a generative AI tool, and Gemini Advanced, which provides detailed answers to queries.
While Gemini Advanced shows promise, its answers can sometimes be inaccurate. I decided to test its abilities by asking it to review the Pixel 9 Pro XL, comparing its responses to my own review based on extensive experience in technology journalism.
My review of the Pixel 9 Pro XL highlights the phone’s updated design, long-term software support, and good daytime photography. However, I also point out the downsides, including the monthly fee for Gemini Advanced and subpar low-light image quality.
In contrast, when I asked Gemini Advanced to review the phone, its output highlighted similar positive aspects such as the sleek design and impressive battery life but also noted the high price and lack of expandable storage. Its review, while somewhat accurate, seemed to overstate the camera’s capabilities, resembling more of a promotional description than an unbiased critique.
Repeated attempts to get a review from Gemini Advanced resulted in varied responses. Some reviews criticized macro photography and inconsistent battery performance, while others described the design as stale and the AI features as gimmicky.
This variation in responses reflects the nature of AI-generated content, where the information source and algorithmic interpretation can lead to different outputs each time a query is made.
The inconsistency in Gemini Advanced’s reviews also revealed factual errors, such as incorrect references to the Tensor G3 processor instead of the Tensor G4 used in the Pixel 9 Pro XL. These inaccuracies extend beyond just this test, as the AI also made errors in suggesting non-existent songs and outdated locations. Such inaccuracies highlight the limitations of relying solely on AI for factual information.
In summary, while AI tools like Gemini Advanced can offer insights, they are not infallible and can produce inconsistent or incorrect information. It is crucial to approach AI-generated advice with caution and rely on expert reviews and personal experience for critical decisions, whether it’s choosing a smartphone, seeking medical advice, or tackling home repairs.
