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The Rise and Fall of Google’s AI Chatbots: Google’s Bard Demo Gone Wrong!
Chatbots’ ability to process a large number of questions faster than humans has led to their development as a fast and convenient form of customer service. After ChatGPT was released, the competition began. And of course, the big brands like Bing and Google have stepped up their game and launched their own AI systems. Let’s talk about Google! Google has created its own AI chatbot, ‘Bard’. It recently made its debut to the public during a demonstration intended to highlight its potential. Unfortunately, a factual error by the chatbot during the demonstration cast doubt on its objectivity. In this post, we will explore in detail the effects of Google’s AI Bard’s actual error in the first public demo.
also read: AI-powered call screen and Google keyboard
Bard’s Public Demonstration: What Went Wrong?
Bard has been shown to show off its ability to provide users with useful information and respond to queries. This was Google’s first major demo and a chance to show off the newly launched Bard. But unfortunately things didn’t go as planned. The chatbot was able to respond to different questions because it was trained on a huge data set. However, the demonstration was ruined by a crucial mistake the chatbot made. When Bard was asked a specific question, he answered it incorrectly, causing the audience to quickly shout. This error raised questions about the reliability of the technology and the accuracy of the data that AI chatbots provide.
Google’s AI Bard: Factual error in first public demo What was it?
What new discoveries from the James Webb Space Telescope can I share with my 9-year-old? Bard responds in a GIF posted by Google. The telescope “took the very first images of a planet outside our own solar system,” according to one of Bard’s three points. On Twitter, astronomers pointed out that this is not true. As stated on NASA websiteThe first photo of an exoplanet was taken in 2004.
“This underlines the importance of a rigorous testing process, something we are starting this week with our Trusted Tester program. We will combine external feedback with our own internal testing to ensure Bard’s responses meet the high standards of quality, security and robustness to real-world information.”
–Jane Park (A Google spokesperson)
also read: How to Use Google Bard Chatbot Extension and Double Check
Bard’s factual error: cost Google $100 billion
People are now starting to question Bard’s legitimacy and whether it is trustworthy to provide accurate information or not. This factual error cost Google $100 billion.
Shares of Alphabet, the company that owns Google, fell 7.7% on Wednesday after questions were raised about Bard, a ChatGPT competitor that Alphabet introduced on February 6. With a drop of as much as 5.1% on Thursday, the market crash continued and is on track to have its worst two days of losses since March 2020. A total of $170 billion in market value was lost as a result of this blunder.
The fact that the market crash was much bigger than the 2.8% drop the day after Alphabet’s profits fell short of expectations shows how crucial investor success in the AI arms race has become.
“The fact that a share like Google is falling so sharply shows that people are not even looking at the fundamentals.”
-Matt Maley, chief market strategist at Miller Tabak + Co
Bard’s limitations and capabilities
Bard is an AI chatbot trained on a large data set and prone to human error. But Bard’s miscalculation reminds us of the limitations of artificial intelligence technologies and the importance of fact-checking and verification. AI chatbots can only be as reliable as the data they are trained on, and if that data is unreliable or outdated, the chatbot will provide unreliable answers as well.
On the other hand, AI chatbots have the ability to handle a large number of queries faster than humans and provide fast and easy customer service. Additionally, they can be configured to answer certain questions and provide users with individualized information. AI chatbots can help companies reduce operating costs and increase customer satisfaction.
Conclusion
An important development for Google and the AI field was the Bard demonstration. While the actual chatbot blunder was unfortunate, it gives companies an opportunity to grow and advance their AI technology. While AI chatbots have the potential to provide efficient customer service, their accuracy depends on the data they are trained on. To avoid mistakes like Bard’s, companies must work to verify the accuracy and usefulness of their training data. The incident serves as a warning that artificial intelligence technology is still in its infancy and has drawbacks that need to be addressed.
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