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Scientists create AI neural net that can unlock digital fingerprint-secured devices

Fingerprint scan. | Credit: RCPA

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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.

An overview of the DeepMasterPrint system. | Credit: IEEE

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.

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Real fingerprints on the left vs. DeepMasterPrint generated fingerprints on the right. | Credit: IEEE

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.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Elon Musk: Tesla could be first to build AGI in humanoid form

Musk’s statement was shared in a post on social media platform X.  

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Credit: Tesla

Elon Musk predicted that Tesla could become one of the developers of Artificial General Intelligence (AGI) in humanoid form. Musk’s statement was shared in a post on social media platform X.  

In his post, Musk stated that “Tesla will be one of the companies to make AGI and probably the first to make it in humanoid/atom-shaping form.”

The comment comes as Tesla expands development of its Optimus humanoid robot.

During Tesla’s Q4 earnings report, Elon Musk stated that production of the Model S and Model X would be phased out at its Fremont, California, facility. The vehicles’ production line will then be converted to a pilot line for Optimus. Tesla is looking to produce 1 million units of the humanoid robots annually to start.

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Musk has previously stated that Optimus could eventually function as a von Neumann probe. The concept, proposed by mathematician John von Neumann, describes a machine capable of replicating itself using planetary resources and sending those replicas to other worlds.

Optimus would likely only be able to achieve this potential if it manages to achieve Artificial General Intelligence.

Other leaders in the AI sector have also expressed strong expectations about AGI’s potential. Demis Hassabis, CEO of Google DeepMind, recently spoke about the technology at the India AI Impact Summit 2026, as noted in a Benzinga report.

“It’s going to be something like ten times the impact of the Industrial Revolution, but happening at ten times the speed,” Hassabis said.

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Elon Musk’s recent comments about Tesla producing a product with AGI could hint at further collaboration among his companies. So far, Tesla is actively pursuing autonomous driving, but it is xAI that is pursuing AGI with its Grok program.

Considering that Elon Musk mentioned a Tesla humanoid product with AGI, it appears that an Optimus robot running xAI’s AI models could become a reality.

xAI had recently merged with SpaceX, though reports suggest that Elon Musk is also considering an even bigger merger for all his companies, including Tesla.

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Tesla influencers argue company’s polarizing Full Self-Driving transfer decision

Tesla maintains it will honor transfers for orders with initial delivery windows before the deadline and offers full deposit refunds otherwise, citing longstanding fine print that the program is “subject to change at any time.”

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Tesla’s decision to tighten its Full Self-Driving (FSD) transfer promotion has ignited fierce debate among owners and enthusiasts.

The company quietly updated its terms in late February 2026, changing the eligibility from “order by March 31, 2026” to “take delivery by March 31, 2026.”

What began as a flexible incentive to boost sales, allowing buyers to transfer their paid FSD (Supervised) to a new vehicle, now excludes many, particularly Cybertruck owners facing delivery delays into summer or later.

Tesla maintains it will honor transfers for orders with initial delivery windows before the deadline and offers full deposit refunds otherwise, citing longstanding fine print that the program is “subject to change at any time.”

The reversal has polarized the Tesla community, with accusations of a “bait-and-switch” clashing against defenses of corporate pragmatism. Many owners who placed orders under the original wording feel betrayed, especially as production backlogs and new unsupervised FSD rollout complicate timelines.

However, Tesla has allowed them to cancel their orders and receive a refund.

Critics of the decision argue that the change disadvantages loyal customers who helped fund FSD development, calling it poor communication and a revenue grab as Tesla pivots toward subscriptions.

Popular influencers have amplified the divide. Whole Mars Catalog struck a measured but firm tone, acknowledging the original “order by” language but emphasizing Tesla’s right to adjust terms. He has continued to defend Tesla in this particular issue:

He criticized extreme backlash as “dramatization” and “spoiled kids,” noting the unsupervised FSD era and broader sales challenges make blanket transfers financially risky. Whole Mars advocated for polite outreach to CEO Elon Musk over the issue.

In a contrasting perspective, Dirty TesLA voiced sharper frustration, posting that blocking transfers feels “crazy” and distancing himself from “people that want to worship a corporation and say they can do no wrong.” His stance resonated with owners who view the policy flip as disrespectful to early adopters.

Popular Tesla influencer Sawyer Merritt captured the frustration felt by thousands. In a widely shared thread viewed over 700,000 times, Merritt detailed how pre-change Cybertruck orders now risk losing FSD eligibility unless their initial delivery window falls before March 31.

The controversy underscores deeper tensions—between Tesla’s need for revenue discipline and owners’ expectations of goodwill. As FSD evolves toward unsupervised capability, the community remains split: some see the change as necessary business, others as a broken promise. Whether Tesla reconsiders under pressure or holds firm remains to be seen, but it does not appear they are planning to budge.

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Tesla Semi’s latest adoptee will likely encourage more of the same

Public visibility matters. When shoppers see a trusted name like Ralph’s running clean, high-tech trucks on public roads, skepticism fades. Competitors such as Albertsons, which pre-ordered Semis years ago, and other chains chasing ESG targets now have proof that electric autonomy works in real-world grocery fleets.

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Credit: X | ChargePozitive

The latest adoptee of the Tesla Semi will likely encourage more businesses in the same realm to adopt the all-electric Class 8 truck, as a new company utilizing the Semi has been spotted in Southern California.

A sleek, futuristic Tesla Semi truck branded for Ralph’s Supermarkets was spotted cruising a Los Angeles highway in a viral 13-second dashcam video posted March 2, by X user ChargePozitive.

This sighting confirms Kroger’s March 2025 partnership with Tesla to deploy up to 500 autonomous electric Semis.

While the initial announcement targeted Midwest supply chains, the California appearance under the Ralph’s banner shows the program expanding to Kroger’s West Coast operations. Ralph’s, a staple for millions of Southern California shoppers, is now hauling groceries with the Semi, which has zero tailpipe emissions and claims up to 500 miles of range per charge.

Tesla Semi pricing revealed after company uncovers trim levels

The timing could not be better for sustainable logistics. Traditional trucking accounts for a massive share of retail emissions, but Tesla’s Semi slashes fuel and maintenance costs while leveraging full autonomy to ease driver shortages and improve safety.

Tesla’s expanding Megacharger network, including new sites along major freight corridors and partnerships like the recently-announced one with Pilot Travel Centers, is removing range anxiety and making nationwide scaling realistic. There’s still a long way to go, but things are moving in the right direction.

Public visibility matters. When shoppers see a trusted name like Ralph’s running clean, high-tech trucks on public roads, skepticism fades. Competitors such as Albertsons, which pre-ordered Semis years ago, and other chains chasing ESG targets now have proof that electric autonomy works in real-world grocery fleets.

PepsiCo’s successful pilots already demonstrated viability, and Ralph’s sighting adds retail credibility.

As Tesla ramps high-volume Semi production through 2026, this isn’t an isolated curiosity. Instead, it’s a catalyst. More grocers adopting the platform will accelerate industry-wide decarbonization, cut operating expenses, and deliver tangible environmental wins.

The future of sustainable supply chains is already on the highway, and Ralph’s just made it impossible to ignore.

Moving forward, Tesla hopes to expand the Semi program into other regions, including Europe, which CEO Elon Musk recently said is a total possibility next year.

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