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One wrong answer from Bard AI results to Google's $100 billion loss

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Google's Bard AI, an experimental new chat tool and rival to Microsoft's ChatGPT, has resulted in significant losses for the tech giant. Google's parent company Alphabet saw its shares plunge 7.7% and lose more than $100 billion in market value on Wednesday after its new AI gave the wrong answer to a question. The internet giant gave Bard high hopes and even hosted a live stream event to showcase his skills. However, when Bard was asked to explain the new discoveries from the James Webb Space Telescope to a 9-year-old boy, the AI ​​got two correct answers but got the third one wrong.
"What new discoveries from the James Webb Space Telescope can I tell my 9-year-old son?"
Google's recently introduced AI responded that  "JWST (James Webb Space Telescope) took the first images of a planet at outside our solar system."
 
However, Grant Tremblay, an astrophysicist at the Harvard-Smithsonian Center for Astrophysics, disagrees with the answer, later pointing out the error in a tweet.

I'm sure Bard AI will be impressive, but for the record: JWST has not taken the first image of a planet outside our solar system\". instead, the first image was made by Chauvin et al. (2004) with the VLT/NACO using adaptive optics,” the tweet reads.

Not to be a ~well, actually~ jerk, and I'm sure Bard will be impressive, but for the record: JWST did not take "the very first image of a planet outside our solar system".

the first image was instead done by Chauvin et al. (2004) with the VLT/NACO using adaptive optics. https://t.co/bSBb5TOeUW pic.twitter.com/KnrZ1SSz7h

— Grant Tremblay (@astrogrant) February 7, 2023 

According to NASA, the first photograph of an outer planet was taken with the Very Large Telescope in 2004, nearly 19 years before NASA's Webb telescope.
 
A Google spokesperson acknowledged the error and stressed the importance of thorough testing, which the company plans to initiate with its Trusted Tester program. “This highlights the importance of a rigorous testing process, something we are kicking off this week with our Trusted Tester program. We will combine external feedback with our own internal testing to ensure Bard's responses meet a high level of quality , safety and security." robustness compared to real-world data,” a Google spokesperson told New Scientist.
In another tweet, Tremblay also noted that a Google search using your regular search engine returns the correct information.
 
This fallacy highlights the limitations of AI models, which rely on statistical analysis and rely on plausible rather than accurate answers. News of Google's leaks also comes as Microsoft recently launched its own AI results service for its Bing search engine, and Chinese search engine Baidu has announced similar plans.