Google's Bard AI chatbot is already making mistakes
This week, Google announced its AI (artificial intelligence) chatbot tool, 'Bard', to tackle OpenAI's ChatGPT. It hopes to revolutionize search, but Google's artificial intelligence tool is off to a terrible start and is already making mistakes.
Google is rushing to take on Microsoft and Bing, and this new technology is sure to face several hurdles. As we all already know, ChatGPT is not so reliable yet, can't stop lying and is not smart as we wish for AI.
Unfortunately, we are already seeing something similar from Google's AI chatbot. When Bard launched and first demoed, Google's sophisticated tool said something factually incorrect, and that's just the tip of the iceberg. Of course, Google already removed the video from YouTube, but the error is still clearly visible in the announcement blog post.
When asked "What new discoveries from the James Webb Space Telescope can I tell my 9-year-old about?" Bard quickly Googled, used some AI magic, and spat out three facts about the James Webb Telescope.
However, this last result explains that the JWST took the very first image of a planet outside our own solar system, which is wrong. According NASAand quickly mentioned by a slew of astronomers on Twitter, the first such photo was taken in 2004 by the ESO Paranal Observatory in Chile.
It doesn't seem like a huge mistake, but Bard confidently shared incorrect information. The internet was quick to point out Google's error and confusion, but again, it's important to remember that this is new technology.
Following the error, a Google spokesperson said The edge: “This underscores the importance of a rigorous testing process, something we're launching this week with our Trusted Tester program. We will combine external feedback with our own internal testing to ensure that Bard's responses achieve a high level of quality, security, and grounding in real-world information.
Unfortunately, Bard needs a little more work and is already starting to confirm our worst fears. Google hasn't explained how the AI software was trained to generate responses and summaries, but it hopes to stick to its AI principles and continue working to improve the technology.
by telegraph
