Connect with us

Published

on

Automated fast food restaurant CaliExpress by Flippy, in Pasadena, Calif., opened in January to considerable hype due to its robot burger makers, but the restaurant launched with another, less heralded innovation: the ability to pay for your meal with your face.

CaliExpress uses a payment system from facial ID tech company PopID. To activate it, users register with a selfie. Then they can opt to be recognized and then PopID’s facial verification confirms the transaction.

It’s not the only fast-food chain to employ the technology. In January, Steak ‘N Shake, a fast-casual restaurant in the Midwest, started installing facial recognition kiosks in its 300 locations for patron check-in. The chain says that using PopID takes two to three seconds compared with a check-in with a QR code or mobile app, which can take up to 20 seconds.

Biometric payment options are becoming more common. Amazon introduced pay-by-palm technology in 2020, and while its cashier-less store experiment has faltered, it installed the tech in 500 of its Whole Foods stores last year. Mastercard, which is working with PopID,  launched a pilot for face-based payments in Brazil back in 2022, and it was deemed a success — 76% of pilot participants said they would recommend the technology to a friend. Late last year, Mastercard said it was teaming with NEC to bring its Biometric Checkout Program to the Asia-Pacific region.

“Our focus on biometrics as a secure way to verify identity, replacing the password with the person, is at the heart of our efforts in this area,” said Dennis Gamiello, executive vice president of identity products and innovation at Mastercard. He added that based on positive feedback from the pilot and its research, the checkout technology will come to more new markets later this year.

As stores implement biometric technology for a variety of purposes, from payments to broader anti-theft systems, consumer blowback, and lawsuits, are rising. In March, an Illinois woman sued retailer Target for allegedly illegally collecting and storing her and other customers’ biometric data via facial recognition technology without their consent. Amazon and T-Mobile are also facing legal actions related to biometric technology.

In other countries, most notably China, biometric payment systems are comparatively mature, from visitors to McDonald’s in China being able to use facial recognition technology to pay for their orders, to systems offered by AliPay, which launched biometric payment as far back as 2015 and began testing the technology at KFC locations in China in 2018.

A deal that PopID recently signed with JPMorgan is a sign of things to come in the U.S., said John Miller, PopID CEO, and what he thinks will be a “breakthrough” year for pay-by-face technology.

The consumer case is tied to the growing importance of loyalty programs. Most quick-service restaurants require consumers to provide their loyalty information to earn rewards — which means pulling out a phone, opening an app, finding the link to the loyalty QR code, and then presenting the QR code to the cashier or reader. For payment, consumers are typically choosing between pulling out their wallet, selecting a credit card, and then dipping or tapping the card or pulling out their phone, opening it with Face ID, and then presenting it to the reader. Miller says PopID simplifies this process by requiring just tapping an on-screen button, and then looking briefly at a camera for both loyalty check-in and payment.

“We believe our partnership with JPMorgan is a watershed moment for biometric payments as it represents the first time a leading merchant acquirer has agreed to push biometric payments to its merchant customers,” Miller said. “JPMorgan brings the kind of credibility and assurance that both merchants and consumers need to adopt biometric payments.”

Consumers are getting more comfortable with biometric technology. The majority still prefer fingerprint scans to facial recognition, according to a 2023 survey from PYMENTS, but age is a factor. Gen Z consumers are more open to facial recognition than to fingerprint scans or entering a password.

Juniper Research forecasts over 100% market growth for global biometric payments between 2024 and 2028, and by 2025, $3 trillion in mobile, biometric-secured payments.

To be sure, security concerns and the hacking of biometric data as a consequence of sharing it, will remain important to the evolving usage and conversation.

Sheldon Jacobson, a professor in computer science at the University of Illinois, Urbana-Champaign, said he sees biometric identification as part of a technology continuum that has evolved from payment with a credit card to smartphones. “The next natural step is to simply use facial recognition,” he said.

Concerns about privacy and facial recognition, he says, are overblown. “We voluntarily give up our privacy all the time,” Jacobson said. “We post on Facebook, we use social media and we are basically giving up our privacy. I tell people constantly that everything about you is already out there.” 

Continue Reading

Technology

Judge finalizes remedies in Google antitrust case

Published

on

By

Judge finalizes remedies in Google antitrust case

The logo for Google LLC is seen at the Google Store Chelsea in Manhattan, New York City, U.S., November 17, 2021.

Andrew Kelly | Reuters

A U.S. judge on Friday finalized his decision for the consequences Google will face for its search monopoly ruling, adding new details to the decided remedies.

Last year, Google was found to hold an illegal monopoly in its core market of internet search, and in September, U.S. District Judge Amit Mehta ruled against the most severe consequences that were proposed by the Department of Justice.

That included the proposal of a forced sale of Google’s Chrome browser, which provides data that helps the company’s advertising business deliver targeted ads. Alphabet shares popped 8% in extended trading as investors celebrated what they viewed as minimal consequences from a historic defeat last year in the landmark antitrust case.

Investors largely shrugged off the ruling as non-impactful to Google. However some told CNBC it’s still a bite that could “sting.”

Mehta on Friday issued additional details for his ruling in new filings.

“The age-old saying ‘the devil is in the details’ may not have been devised with the drafting of an antitrust remedies judgment in mind, but it sure does fit,” Mehta wrote in one of the Friday filings.

Google did not immediately respond to a request for comment. The company has previously said it will appeal the remedies.

In August 2024, Mehta ruled that Google violated Section 2 of the Sherman Act and held a monopoly in search and related advertising. The antitrust trial started in September 2023.

In his September decision, Mehta said the company would be able to make payments to preload products, but it could not have exclusive contracts that condition payments or licensing. Google was also ordered to loosen its hold on search data. Mehta in September also ruled that Google would have to make available certain search index data and user interaction data, though “not ads data.”

The DOJ had asked Google to stop the practice of “compelled syndication,” which refers to the practice of making certain deals with companies to ensure its search engine remains the default choice in browsers and smartphones.

The judge’s September ruling didn’t end the practice entirely — Mehta ruled out that Google couldn’t enter into exclusive deals, which was a win for the company. Google pays Apple billions of dollars per year to be the default search engine on iPhones. It’s lucrative for Apple and a valuable way for Google to get more search volume and users.

Mehta’s new details

In the Friday filings, Mehta wrote that Google cannot enter into any deal like the one it’s had with Apple “unless the agreement terminates no more than one year after the date it is entered.”

This includes deals involving generative artificial intelligence products, including any “application, software, service, feature, tool, functionality, or product” that involve or use genAI or large-language models, Mehta wrote.

GenAI “plays a significant role in these remedies,” Mehta wrote.

The judge also reiterated the web index data it will require Google to share with certain competitors. 

Google has to share some of the raw search interaction data it uses to train its ranking and AI systems, but it does not have to share the actual algorithms — just the data that feeds them.” In September, Mehta said those data sets represent a “small fraction” of Google’s overall traffic, but argued the company’s models are trained on data that contributed to Google’s edge over competitors.

The company must make this data available to qualified competitors at least twice, one of the Friday filing states. Google must share that data in a “syndication license” model whose term will be five years from the date the license is signed, the filing states.

Mehta on Friday also included requirements on the makeup of a technical committee that will determine the firms Google must share its data with.

Committee “members shall be experts in some combination of software engineering, information retrieval, artificial intelligence, economics, behavioral science, and data privacy and data security,” the filing states.

The judge went on to say that no committee member can have a conflict of interest, such as having worked for Google or any of its competitors in the six months prior to or one year after serving in the role.

Google is also required to appoint an internal compliance officer that will be responsible “for administering Google’s antitrust compliance program and helping to ensure compliance with this Final Judgment,” per one of the filings. The company must also appoint a senior business executive “whom Google shall make available to update the Court on Google’s compliance at regular status conferences or as otherwise ordered.”

This is breaking news. Check back for updates.

WATCH: Judge Issues final remedies in Google antitrust case

Judge Issues final remedies in Google antitrust case

Continue Reading

Technology

Amazon had a very big week that could shape where its stagnant stock goes next

Published

on

By

Amazon had a very big week that could shape where its stagnant stock goes next

Continue Reading

Technology

Meta acquiring AI wearable company Limitless

Published

on

By

Meta acquiring AI wearable company Limitless

Meta CEO Mark Zuckerberg wears the Meta Ray-Ban Display glasses, as he delivers a speech presenting the new line of smart glasses, during the Meta Connect event at the company’s headquarters in Menlo Park, California, U.S., Sept. 17, 2025.

Carlos Barria | Reuters

Meta is acquiring artificial intelligence wearable startup Limitless, the companies said Friday.

“We’re excited that Limitless will be joining Meta to help accelerate our work to build AI-enabled wearables,” a Meta spokesperson said in a statement.

Limitless makes a small, AI-powered pendant that can record conversations and generate summaries.

Limitless CEO Dan Siroker revealed the deal on Friday via a corporate blog post but did not disclose the financial terms.

“Meta recently announced a new vision to bring personal superintelligence to everyone and a key part of that vision is building incredible AI-enabled wearables,” Siroker said in the post and an accompanying video. “We share this vision and we’ll be joining Meta to help bring our shared vision to life.”

Read more CNBC tech news

The world of AI wearables has been slowly growing this year, but no company has landed a standout product.

Meta’s Ray-Ban smartglasses, which have been a surprise hit, have a sprinkling of AI flavor with the inclusion of the company’s AI digital assistant.

There are several wearable devices available that are similar to Limitless.

Friend offers a pendant-style device, Plaud comes in a small card shape or pill that can be clipped on or worn around your neck or on your wrist, and Bee, which is worn on a wristband and was scooped up by Amazon in July.

Amazon also runs AI through its Alexa+ line of Echo Speakers, while Google‘s Pixel 10 phones have the Gemini assistant built in.

WATCH: Meta is visibly seeing a return on investment from AI.

Meta is visibly seeing a return on investment from AI, says Rosenblatt Securities’ Barton Crockett

CNBC’s Chris Eudaily contributed to this report.

Continue Reading

Trending