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Google’s Search Generative Experience Faces Criticism for Inaccurate Data

Cailey Thomsen

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ByCailey Thomsen

Google has recently updated its AI models, Gemini 1.5 Pro API and Gemini Advanced. This update has made the models more reliable and responsive. These changes, called Post Tuning, add small improvements that make the models better. This process does not make the models hugely better, but it improves their performance.

Gemini 1.5 Pro API has now surpassed Claude 3 Opus in Arena ELO rankings. Arena ELO is a way to measure the performance of AI models. Although it has not surpassed GPT 4.o, it shows a very interesting trend. Google seems to be catching up with OpenAI, which has been updating its models regularly.

Camera recording a Google presentation at a dimly lit event with audience in silhouette.

The gap between the top models like GPT 4.o, Claude 3 Opus, and Gemini Advanced is now very small. The ELO scores are all within 100 points of each other. This shows how quickly the technology is evolving. The state-of-the-art models are getting closer in performance, making the competition intense.

In the next year, it will be interesting to see how these models develop. The space is evolving fast, and we can expect more advancements and improvements. This rapid progress also means that AI is becoming more a part of everyday life. People who do not usually follow AI news are becoming aware of these changes.

Google's Search Generative Experience (SGE) is another example of AI going mainstream. This new feature aims to improve search results by giving direct answers above the search bar. However, some of these answers have caused issues. For example, one answer wrongly recommended smoking during pregnancy. Another suggested adding glue to pizza for better cheese stickiness.

These errors happened because Google pulled data from various sources, including Reddit. Some Reddit posts are jokes that should not be taken seriously. Google rushed this feature and did not double-check all responses, leading to such errors. Users need to be cautious when using SGE, as some answers may not be accurate.

Overall, the advancements in AI are impressive, but they also come with challenges. Google and other companies need to ensure their models provide reliable and accurate information. As technology continues to evolve, the focus should be on improving both performance and trustworthiness.

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