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New chip-fabrication method creates ‘twin’ fingerprints for direct authentication

Just like each person has unique fingerprints, every CMOS chip has a distinctive “fingerprint” caused by tiny, random manufacturing variations. Engineers can leverage this unforgeable ID for authentication, to safeguard a device from attackers trying to steal private data.

But these cryptographic schemes typically require secret information about a chip’s fingerprint to be stored on a third-party server. This creates security vulnerabilities and requires additional memory and computation.

To overcome this limitation, MIT engineers developed a manufacturing method that enables secure, fingerprint-based authentication, without the need to store secret information outside the chip.

Tin isotopes reveal clues to nuclear stability

Separated by an ocean and more than a decade, innovative experiments with 31 tin isotopes having either a surplus or shortage of neutrons show how neutrons influence nuclear stability and element formation. The experiments, conducted between 2002 and 2012 at Oak Ridge National Laboratory and more recently at CERN, provide knowledge that impacts nuclear energy and national security applications.

The earlier, influential ORNL measurements contributed to the American Physical Society naming ORNL’s Holifield Radioactive Ion Beam Facility a historic physics site in 2016. Several resulting publications by ORNL scientists and collaborators examined nuclear energy transitions of isotopes of tin and its neighbors and established the “doubly-magic” nature of tin-132 —stability resulting from full outer shells of both protons and neutrons.

Recent laser spectroscopy measurements at CERN’s ISOLDE facility by a team of scientists, including Alfredo Galindo-Uribarri of ORNL, combined with ORNL’s earlier Holifield results, have helped physicists understand how nuclear properties change across isotopes. The results, which help theoretical physicists improve models, are published in the journal Physical Review Letters.

Google blocked over 1.75 million Play Store app submissions in 2025

Google says that through 2025, it blocked more than 255,000 Android apps from obtaining excessive access to sensitive user data and rejected over 1.75 million apps from being published on Google Play due to policy violations.

The tech giant’s annual review of Android and Google Play security reveals how effective the implemented protection measures were in maintaining an ecosystem with honest developers and compliant apps.

“We’re constantly improving our policies and protections to encourage safe, high-quality apps on Google Play and stop bad actors before they cause harm,” Google says.

The Deflationary Singularity: Why Everything is Going to ZERO w/ Salim Ismail

The rapid advancement of technologies, particularly AI, is driving the world towards an economic singularity where the marginal cost of essentials approaches zero, leading to a deflationary future and a potential transformation of traditional systems and societies ##

## Questions to inspire discussion.

Education Transformation.

🎓 Q: How will AI reduce education time while improving effectiveness?

A: AI will customize education to each child’s learning style, reducing daily learning time to 1 hour per day while delivering 5 times more effective learning compared to traditional methods, with costs falling to zero within 3–5 years and breaking the university industry that currently creates massive student debt.

Healthcare Revolution.

Passwords to passkeys: Staying ISO 27001 compliant in a passwordless era

Password-based authentication is increasingly risky as organizations adopt passkeys to strengthen security and meet ISO/IEC 27001 requirements. Passwork explains how to align passwordless adoption with Annex A controls, risk assessments, and secure implementation practices.

Evaluating Prehospital Stroke Scales for Large Vessel OcclusionA Systematic Review and Network Meta-Analysis

This systematic review and network meta-analysis assessed the diagnostic performance of clinical stroke scales in predicting large vessel occlusion.


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Dario Amodei — “We are near the end of the exponential”

Predicts significant advancements in AI capabilities within the next decade, which will have a profound impact on society, economy, and individuals, and emphasizes the need for careful governance, equitable distribution of benefits, and responsible development to mitigate risks and maximize benefits ## ## Questions to inspire discussion.

AI Scaling and Progress.

Q: What are the key factors driving AI progress according to the scaling hypothesis?

A: Compute, data quantity and quality, training duration, and objective functions that can scale massively drive AI progress, per Dario Amodei’s “Big Blob of Compute Hypothesis” from 2017.

Q: Why do AI models trained on broad data distributions perform better?

A: Models like GPT-2 generalize better when trained on wide variety of internet text rather than narrow datasets like fanfiction, leading to superior performance on diverse tasks.

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