Bard AI chatbot was introduced to the public earlier this month, but Pichai says there is more to come.News 

Google Chief Pichai confirms that the new Bard AI Chatbot update is more powerful

Google has been lagging behind ChatGPT in the AI chatbot race with Bard, but Sundar Pichai, CEO, Google admitted that the AI chatbot runs on a lighter version of LaMDA and will soon be upgraded to more powerful PaLM models.

Pichai quoted this in a New York Times podcast, where he also assured that the new version of Bard will get more features and help better answer math problems. Pichai mentioned that the changes will be visible next week.

He gave a cheeky example comparing the Bard to a boiled down Civic going up against a more powerful car. Google claims that PaLM is based on a fresh language model and handles tasks like coding problems and reasoning much better. So why did Google introduce Bard with a less powerful model? Pichai claims Google wanted to make sure it wasn’t releasing a powerful model from day one and wanted to see if they could handle these apps well.

He also admitted that Google founders Larry Page and Sergey Brin have been actively involved in this project and have also worked with Google engineers. But he was quick to mention that the supposed code red was more of an internal appeal and he wasn’t making it a company-wide call. A number of experts have voiced their concerns in efforts to slow down the progress of AI and the Pichai watch. In his opinion, development is moving too fast and it can be a threat to society.

Google has been overshadowed by OpenAI and Microsoft in the artificial intelligence arena in recent weeks. ChatGPT has moved to version 4.0, and now with plugin support, the AI chatbot can actually use the internet to provide more detailed information.

Microsoft has used its partnership with OpenAI to bring ChatGPT to Bing, the Edge browser, and Office software, among others. Google hasn’t revealed Bard’s version numbers, but the update shared by Pichai clearly suggests that Google is nowhere near its potential in AI, and we may soon see things pick up.

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