Google’s new ChatGPT Chatbot gets inaccurate answer

Google’s new ChatGPT Chatbot gets inaccurate answer

Google's attempt to challenge Microsoft ChatGPT-powered Bing search engine got off to a rocky start Wednesday after the tech giant offered inaccurate information in its ad. In its advertisement, Bard, a highly anticipated Google AI chatbot, gave an inaccurate answer.

In a short video of Bard in action that the company posted on Twitter, Google describes the chatbot as a launchpad for curiosity that would help simplify complex topics.

The inaccurate information in the advertisement comes when Bard is given the prompt:

Bard later responded with a number of answers including one that suggested that the JWST was used to take the very first pictures of a planet outside the solar system or exoplanets. This is inaccurate.

According to NASA, the first pictures of exoplanets were taken in 2004 by the European Southern Observatory's Very Large Telescope VLT. Reuters first saw the error and Google has not responded to a request for comment.

Google launched Bard on Monday as part of its response to OpenAI's AI-powered ChatGPT chatbot.

OpenAI first released ChatGPT to the public on November 30, 2022. In just two months, ChatGPT reached 100 million monthly active users in January, making it the fastest-growing consumer application in history.

ChatGPT is a dialogue-based AI chat interface for its GPT 3 family of large language models. The mind blowing ChatGPT is a successor to the Generative Pre-trained Transformer 3 GPT-3, an autoregressive language model that uses deep learning to produce human-like text.

ChatGPT was adapted from the GPT 3.5 model but trained to provide more conversational answers. The new ChatGPT demonstrates a wide range of new capabilities, including the ability to engage with users, write software codes, tell stories, and provide solutions to complex mathematical equations, unlike the GPT-3. You can test out the new chatbot right here.

ChatGPT could do virtually everything from writing poetry to correcting coding mistakes with detailed examples to generating AI art prompts. It can explain the worst-case time complexity of the bubble sort algorithm.