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Scientists create AI neural net that can unlock digital fingerprint-secured devices
Computer scientists at New York University and Michigan State University have trained an artificial neural network to create fake digital fingerprints that can bypass locks on cell phones. The fakes are called “DeepMasterPrints”, and they present a significant security flaw for any device relying on this type of biometric data authentication. After exploiting the weaknesses inherent in the ergonomic needs of cellular devices, DeepMasterPrints were able to imitate over 70% of the fingerprints in a testing database.
An artificial neural network is a type of artificial intelligence comprising computer algorithms modeled after the human brain’s ability to recognize patterns. The DeepMasterPrints system was trained to analyze sets of fingerprint images and generate a new image based on the features that occurred most frequently. This “skeleton key” could then be used to exploit the way cell phones authenticate user fingerprints.
In cell phones, the necessarily small size of fingerprint readers creates a weakness in the way they verify a print. In general, phone sensors only capture a partial image of a print when a user is attempting to unlock the device, and that piece is then compared to the phone’s authorized print image database. Since a partial print means there are fewer characteristics to distinguish it than a full print, a DeepMasterPrint needs to match fewer features to imitate a fingerprint. It’s worth noting that the concept of exploiting this flaw is not unique to this particular study; however, generating unique images rather than using actual or synthesized images is a new development.
The team involved in the study resulting in the DeepMasterPrint creation initiated it as part of the ongoing assessment of vulnerabilities in fingerprint recognition systems. Finding exploitable flaws and fixing them is a constant battle in all digital systems with a security component. With this reality in mind, the scientists determined that merely exposing the flaws of fingerprint systems would not provide an effective solution; a working example of how attacks could be executed provides more specific data for researchers to design around and protect against. Creating the DeepMasterPrint system was meant to address this need.
The results revealed by the DeepMasterPrint system are concerning for anyone relying on fingerprint authentication on their smartphones. Scientists compared the generated fake prints against templates generated by VeriFinger 9.0 SDK, Bozorth3, and Innovatrics IDKit 5.3 SKD, all of which are software systems used in fingerprint authentication systems worldwide. At a low false match rate, i.e., strict match requirements for authentication, the fake print generated by DeepMasterPrint could imitate 23% of the fingerprints in the test database. At a slightly higher false match rate that was still within standard phone authentication limits, the fake print imitated 77% of the test fingerprints.
The scientists in this study did not create physical fingerprints to try and unlock actual phones, leaving that work to be done in the near future. However, even though the successful DeepMasterPrints have yet to be tested in true applications rather than a virtual environment, the data gathered confirmed the initial security concerns which inspired the experiment. Fingerprints are being used as identity verification in a growing number of applications beyond cell phone security, i.e., unlocking entryways, payment authentication, etc. The DeepMasterPrint system is another tool to help researchers guard their security as biometric authentication continues to expand.
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News
Tesla’s new Holiday perk is timed perfectly to make FSD a household name
Tesla AI4 owners get FSD (Supervised) through Christmas, New Year’s Eve and well into the post-holiday travel season.
Tesla quietly rolled out a free Full Self-Driving (Supervised) trial for roughly 1.5 million HW4 owners in North America who never bought the package, and the timing could very well be genius.
As it turns out, the trial doesn’t end after 30 days. Instead, it expires January 8, 2026, meaning owners get FSD (Supervised) through Christmas, New Year’s Eve and well into the post-holiday travel season. This extended window positions the feature for maximum word-of-mouth exposure.
A clever holiday gift
Tesla watcher Sawyer Merritt first spotted the detail after multiple owners shared screenshots showing the trial expiring on January 8. He confirmed with affected users that none had active FSD subscriptions before the rollout. He also observed that Tesla never called the promotion a “30-day trial,” as the in-car message simply reads “You’re Getting FSD (Supervised) For the Holidays,” which technically runs until after the new year.
The roughly 40-day period covers peak family travel and gatherings, giving owners ample opportunity to showcase the latest FSD V14’s capabilities on highway trips, crowded parking lots and neighborhood drives. With relatives riding along, hands-off highway driving and automatic lane changes could become instant conversation starters.
Rave reviews for FSD V14 highlight demo potential
FSD has been receiving positive reviews from users as of late. Following the release of FSD v14.2.1, numerous owners praised the update for its smoothness and reliability. Tesla owner @LactoseLunatic called it a “huge leap forward from version 14.1.4,” praising extreme smoothness, snappy lane changes and assertive yet safe behavior that allows relaxed monitoring.
-->Another Tesla owner, @DevinOlsenn, drove 600 km without disengagements, noting his wife now defaults to FSD for daily use due to its refined feel. Sawyer Merritt also tested FSD V14.2.1 in snow on unplowed New Hampshire roads, and the system stayed extra cautious without hesitation. Longtime FSD tester Chuck Cook highlighted improved sign recognition in school zones, showing better dynamic awareness. These reports of fewer interventions and a more “sentient” drive could turn family passengers into advocates, fueling subscriptions come January.
Elon Musk
Elon Musk predicts AI and robotics could make work “optional” within 20 years
Speaking on entrepreneur Nikhil Kamath’s podcast, Musk predicted that machines will soon handle most forms of labor, leaving humans to work only if they choose to.
Elon Musk stated that rapid advances in artificial intelligence and robotics could make traditional work unnecessary within two decades.
Speaking on entrepreneur Nikhil Kamath’s podcast, Musk predicted that machines will soon handle most forms of labor, leaving humans to work only if they choose to.
Work as a “hobby”
During the discussion, Musk said the accelerating capability of AI systems and general-purpose robots will eventually cover all essential tasks, making human labor a choice rather than an economic requirement. “In less than 20 years, working will be optional. Working at all will be optional. Like a hobby,” Musk said.
When Kamath asked whether this future is driven by massive productivity growth, Musk agreed, noting that people will still be free to work if they enjoy the routine or the challenge. He compared future employment to home gardening, as it is something people can still do for personal satisfaction even if buying food from a store is far easier.
“Optional” work in the future
Elon Musk acknowledged the boldness of his claim and joked that people might look back in 20 years and say he was wrong. That being said, the CEO noted that such a scenario could even happen sooner than his prediction, at least if one were to consider the pace of the advancements in AI and robotics.
-->“Obviously people can play this back in 20 years and say, ‘Look, Elon made this ridiculous prediction and it’s not true,’ but I think it will turn out to be true, that in less than 20 years, maybe even as little as ten or 15 years, the advancements in AI and robotics will bring us to the point where working is optional,” Musk said.
Elon Musk’s comments echo his previous sentiments at Tesla’s 2025 Annual Shareholder Meeting, where he noted that Optimus could ultimately eliminate poverty. He also noted that robots like Optimus could eventually provide people worldwide with the best medical care.
Elon Musk
Elon Musk reiterates why Tesla will never make an electric motorcycle
Tesla CEO Elon Musk preemptively shut down speculations about a Tesla road bike once more.
Tesla CEO Elon Musk preemptively shut down speculations about a Tesla road bike once more, highlighting that the electric vehicle maker has no plans to enter the electric motorcycle market.
Musk posted his clarification in a post on X.
Musk’s reply to a fun AI video
X user @Moandbhr posted an AI video featuring the Tesla CEO on the social media platform, captioning it with “Mr. Elon Musk Just Revealed the Game-Changing Tesla Motorcycle.” The short clip depicted Musk approaching a sleek, single-wheeled vehicle, stepping onto it, and gliding off into the distance amid cheers. The fun video received a lot of traction on X, gaining 3.1 million views as of writing.
Musk replied to the post, stating that a Tesla motorcycle is not going to happen. “Never happening, as we can’t make motorcycles safe. For Community Notes, my near death experience was on a road bike. Dirt bikes are safe if you ride carefully, as you can’t be smashed by a truck,” Musk wrote in his reply.
Musk’s Past Comments on Two-Wheelers
Musk also detailed his reservations about motorcycles in a December 2019 X post while responding to questions about Tesla’s potential ATV. At the time, he responded positively to an electric ATV, though he also opposed the idea of a Tesla road-going motorcycle. Musk did state that electric dirt bikes might be cool, since they do not operate in areas where large vehicles like Class 8 trucks are present.
-->“Electric dirt bikes would be cool too. We won’t do road bikes, as too dangerous. I was hit by a truck & almost died on one when I was 17,” Musk wrote in his post.
Considering Musk’s comments about dirt bikes, however, perhaps Tesla would eventually offer a road bike as a recreational vehicle. Such a two-wheeler would be a good fit for the Cybertruck, as well as future products like the Robovan, which could be converted into an RV.
Tesla’s new Holiday perk is timed perfectly to make FSD a household name
Elon Musk predicts AI and robotics could make work “optional” within 20 years
