Google isn’t used to playing catch-up in either artificial intelligence or search, but today the company is hustling to show that it hasn’t lost its edge. It’s starting the rollout of a chatbot called Bard to do battle with the sensationally popular ChatGPT.
Bard, like ChatGPT, will respond to questions about and discuss an almost inexhaustible range of subjects with what sometimes seems like humanlike understanding. Google showed WIRED several examples, including asking for activities for a child who is interested in bowling and requesting 20 books to read this year.
Bard is also like ChatGPT in that it will sometimes make things up and act weird. Google disclosed an example of it misstating the name of a plant suggested for growing indoors. “Bard’s an early experiment, it’s not perfect, and it’s gonna get things wrong occasionally,” says Eli Collins, a vice president of research at Google working on Bard.
Google says it has made Bard available to a small number of testers. From today anyone in the US and the UK will be able to apply for access.
The bot will be accessible via its own web page and separate from Google’s regular search interface. It will offer three answers to each query—a design choice meant to impress upon users that Bard is generating answers on the fly and may sometimes make mistakes.
Google will also offer a recommended query for a conventional web search beneath each Bard response. And it will be possible for users to give feedback on its answers to help Google refine the bot by clicking a thumbs-up or thumbs-down, with the option to type in more detailed feedback.
Google says early users of Bard have found it a useful aid for generating ideas or text. Collins also acknowledges that some have successfully got it to misbehave, although he did not specify how or exactly what restrictions Google has tried to place on the bot.
Bard and ChatGPT show enormous potential and flexibility but are also unpredictable and still at an early stage of development. That presents a conundrum for companies hoping to gain an edge in advancing and harnessing the technology. For a company like Google with large established products, the challenge is particularly difficult.
Both the chatbots use powerful AI models that predict the words that should follow a given sentence based on statistical patterns gleaned from enormous amounts of text training data. This turns out to be an incredibly effective way of mimicking human responses to questions, but it means that the algorithms will sometimes make up, or “hallucinate,” facts—a serious problem when a bot is supposed to be helping users find information or search the web.
ChatGPT-style bots can also regurgitate biases or language found in the darker corners of their training data, for example around race, gender, and age. They also tend to reflect back the way a user addresses them, causing them to readily act as if they have emotions and to be vulnerable to being nudged into saying strange and inappropriate things.
