Microsoft is ready to take its new Bing chatbot mainstream — less than a week after making major fixes to stop the artificially intelligent search engine from going off the rails.
The company said Wednesday it is bringing the new AI technology to its Bing smartphone app, as well as the app for its Edge internet browser, though it is still requiring people to sign up for a waitlist before using it.
Putting the new AI-enhanced search engine into the hands of smartphone users is meant to give Microsoft an advantage over Google, which dominates the internet search business but hasn’t yet released such a chatbot to the public.
In the two weeks since Microsoft unveiled its revamped Bing, more than a million users around the world have experimented with a public preview of the new product after signing up for a waitlist to try it. Microsoft said most of those users responded positively, but others found Bing was insulting them, professing its love or voicing other disturbing or bizarre language.
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Powered by some of the same technology behind the popular writing tool ChatGPT, built by Microsoft partner OpenAI, the new Bing is part of an emerging class of AI systems that have mastered human language and grammar after ingesting a huge trove of books and online writings. They can compose songs, recipes and emails on command, or concisely summarize concepts with information found across the internet. But they are also error-prone and unwieldy.
Reports of Bing’s odd behavior led Microsoft to look for a way to curtail Bing’s propensity to respond with strong emotional language to certain questions. It’s mostly done that by limiting the length and time of conversations with the chatbot, forcing users to start a fresh chat after several turns. But the upgraded Bing also now politely declines questions that it would have responded to just a week ago.
“I’m sorry but I prefer not to continue this conversation,” it says when asked technical questions about how it works or the rules that guide it. “I’m still learning so I appreciate your understanding and patience.”
Microsoft said its new technology will also be integrated into its Skype messaging service.
How AI predicts what you’ll buy
How AI predicts what you’ll buy
It’s a jungle out there—few places so much so as the world of “smart” advertising.
There, marketing geniuses have developed increasingly sophisticated algorithms that take all the information gathered about you online or from your phone and piece together a customer profile that may include everything from your favorite pair of socks to your children’s names.
Analyzing current market practices, Wicked Reports explored how artificial intelligence, or AI, can be wielded to gather data and make sales predictions across the internet. Some techniques you may know, such as persistent cookies that turn your computer into a ping hub for the websites you visit. Others are much more sophisticated, compiling all of your characteristics by analyzing what you’ve bought in the past, what you’ve put in your cart and abandoned, and what you’ve searched for. From there, advertisers can even make a version of similar customers to market to them as well.
The digital advertising industry is expected to crest $20 billion in 2022. That’s far from enough to crack the top 10 biggest industries in the U.S., but it’s a substantial amount of money—particularly when compared to the big-ticket ad buys of the past in splashy magazine spreads. Companies today are more eager than ever to spend what it takes to bring in ideal customers.
Continue reading to discover some of the tactics AI uses to predict buying behaviors.
Compiling user movement across the web
You may know about cookies: tiny text files that websites deposit on your computer as a way to track online behavior.
When you visit websites from Europe, for example, a law there mandates that you click through a cookie agreement that’s much more transparent than in the U.S. There are session cookies lasting one browsing “session” (until you restart your computer or browser) and persistent cookies that stay until you delete them. Think of a cookie as a waving arm each time you visit the same website. Together, they form a heat map of how often and when you visit every website in your browsing history. They can even flag your presence to other websites as a way to combine your data.
Identifying user characteristics
User characteristics, and something called demographic segmentation, is a key way online advertising targets you. User characteristics are any of your qualities, from your gender and age to what car you drive and the pets you own. These user characteristics lead to the advertising concept of demographic segmentation, in which companies can buy lists of really specific people.
Are you a 25-year-old white man with one dog, a full-time job as an auto tech, and an apartment rental in a “transitional” neighborhood? We have just the plaid shirt for you.
Mapping user location data
If you’ve used GPS in your smartphone or any of the hyperlocal dating apps, you’ve leveraged location data to your advantage—at least for now.
How does your phone know where you are? Cellphone towers ping your phone when you’re nearby. In your home, your Wi-Fi network is likely hardcoded with your location. That’s also true of any Wi-Fi network you hop into or onto during your errands, at school, at work, and so forth. After that, GPS can pinpoint your phone to an alarmingly small area as you carry it around, so not just in your home but in one corner of one room.
Matching new users to known customers who look and act in similar ways
Some items on this list are not very surprising, or we’re used to being told about them so they don’t seem as insidious and scary as they once did. But people are likely still surprised by the depths that companies will go to in order to better advertise to you. Your favorite clothing store, for example, might put together a complete data “picture” of you: what you’ve purchased from them, what size you shop for, where your address is, and more. Then they can reverse engineer someone just like you and buy a demographically matching list.
Anything can be filtered until just the exact desired customer base remains, and then they buy the ads.
IP address targeting by network connection
How much do you know about your IP address? Many of us are old enough to remember a time when connecting to the internet required knowing a specific IP address and typing it into our PC settings.
Today, the router you likely have in your home has a hard-coded IP address whose number values reflect where you are as well as which “node” you have on your local network. That information may be for sale to different companies because, with the right technology, they can use some IP addresses in order to infer the rest—and guess where you live. Apple is among the tech companies pushing back on IP targeting of this nature by masking IP addresses in its proprietary browser Safari.
This story originally appeared on Wicked Reports and was produced and distributed in partnership with Stacker Studio.
