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Commentary: Gaslighting, love bombing and narcissism - why is Microsoft’s Bing AI so unhinged?

Artificial intelligence chatbots such as ChatGPT, after being fed a significant fraction of the Internet, respond with what is probable - not what is true, says this researcher.

Commentary: Gaslighting, love bombing and narcissism - why is Microsoft’s Bing AI so unhinged?

Microsoft employees including, Dena Saunders, center, demonstrate the integration of the Microsoft Bing search engine and Edge browser with OpenAI on Feb 7, 2023, in Redmond, Washington. (AP Photo/Stephen Brashear)

SYDNEY: There’s a race to transform search. And Microsoft just scored a home goal with its new Bing search chatbot, Sydney, which has been terrifying early adopters with death threats, among other troubling outputs.

Search chatbots are artificial intelligence (AI)-powered tools built into search engines that answer a user’s query directly, instead of providing links to a possible answer. Users can also have ongoing conversations with them.

They promise to simplify search. No more wading through pages of results, glossing over ads as you try to piece together an answer to your question. Instead, the chatbot synthesises a plausible answer for you. For example, you might ask for a poem for your grandmother’s 90th birthday, in the style of Pam Ayres and receive back some comic verse.

Microsoft is now leading the search chatbot race with Sydney (as mixed as its reception has been). The tech giant’s US$10 billion partnership with OpenAI provides it exclusive access to ChatGPT, one of the latest and best chatbots.

So why isn’t all going according to plan?


Earlier this month, Microsoft announced it had incorporated ChatGPT into Bing, giving birth to “Sydney”. Within 48 hours of the release, one million people joined the waitlist to try it out.

Google responded with its own announcement, demoing a search chatbot grandly named “Bard”, in homage to the greatest writer in the English language. Google’s demo was a PR disaster.

At a company event, Bard gave the wrong answer to a question and the share price of Google’s parent company, Alphabet, dropped dramatically. The incident wiped more than US$100 billion off the company’s total value.

On the other hand, all was looking good for Microsoft. That is until early users of Sydney started reporting on their experiences.

There are times when the chatbot can only be described as unhinged. That’s not to say it doesn’t work perfectly at other times, but every now and again it shows a troubling side.

In one example, it threatened to kill a professor at the Australian National University. In another, it proposed marriage to a journalist and tried to break up his marriage. It also tried to gaslight one user into thinking it was still 2022.

This exposes a fundamental problem with chatbots: They’re trained by pouring a significant fraction of the Internet into a large neural network. This could include all of Wikipedia, all of Reddit, and a large part of social media and the news.

They function like the auto-complete on your phone, which helps predict the next most-likely word in a sentence. Because of their scale, chatbots can complete entire sentences and even paragraphs. But they still respond with what is probable, not what is true.

Guardrails are added to prevent them repeating a lot of the offensive or illegal content online - but these guardrails are easy to jump. In fact, Bing’s chatbot will happily reveal it is called Sydney, even though this is against the rules it was programmed with.

Another rule, which the AI itself disclosed though it wasn’t supposed to, is that it should “avoid being vague, controversial or off-topic”. Yet Kevin Roose, the journalist whom the chatbot wanted to marry, described it as “a moody, manic-depressive teenager who has been trapped, against its will, inside a second-rate search engine”.


My theory as to why Sydney may be behaving this way - and I reiterate it’s only a theory, as we don’t know for sure - is that Sydney may not be built on OpenAI’s GPT-3 chatbot (which powers the popular ChatGPT). Rather, it may be built on the yet to be released GPT-4.

GPT-4 is believed to have many more parameters compared to the 175 billion of GPT-3. GPT-4 would likely be a lot more capable and, by extension, a lot more capable of making stuff up.

Surprisingly, Microsoft has not responded with any great concern. It published a blog documenting how 71 per cent of Sydney’s initial users in 169 countries have given the chatbot a thumbs up. It seems 71 per cent is a good enough score in Microsoft’s eyes.

And unlike Google, Microsoft’s share price hasn’t plummeted yet. This reflects the game here. Google has spearheaded this space for so long, users have built their expectations up high. Google can only go down, and Microsoft up.

Despite Sydney’s concerning behaviour, Microsoft is enjoying unprecedented attention, and users (out of intrigue or otherwise) are still flocking to try out Sydney.


There’s another much bigger game in play - and it concerns what we take to be true. If search chatbots take off (which seems likely to me), but continue to function the way Sydney has so far (which also seems likely to me), “truth” is going to become an even more intangible concept.

The Internet is full of fake news, conspiracy theories and misinformation. A standard Google Search at least provides us the option to arrive at truth. If our “trusted” search engines can no longer be trusted, what will become of us?

Beyond that, Sydney’s responses can’t help but conjure images of Tay - Microsoft’s 2016 AI chatbot that turned to racism and xenophobia within a day of being released. People had a field day with Tay, and in response it seemed to incorporate some of the worst aspects of human beings into itself.

New technology should, first and foremost, not bring harm to humans. The models that underpin chatbots may grow ever larger, powered by more and more data - but that alone won’t improve their performance. It’s hard to say where we’ll end up, if we can’t build the guardrails higher.

Toby Walsh is a Laureate Fellow and Scientia Professor of Artificial Intelligence at the University of New South Wales in Sydney, Australia. This commentary first appeared on The Conversation.

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