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How Unknowable Math Can Help Hide Secrets

Perhaps the most famous example comes from a theorem by the logician Kurt Gödel’s celebrated result — one of two “incompleteness theorems” he published in 1931 — established that for any reasonable set of basic mathematical assumptions, called axioms, it’s impossible to prove that the axioms won’t eventually lead to contradictions. Though mathematicians continued their research much as they had before, they would never again be certain that their rules were self-consistent.

More than 50 years after Gödel’s theorem, cryptographers devised a radical new proof method in which unknowability played a very different role. Proofs based on this technique, called zero-knowledge proofs, can convince even the most skeptical audience that a statement is true without revealing why it’s true.

These two flavors of unknowability, which originated decades apart and in different fields, were long considered completely unrelated. Now the computer scientist Rahul Ilango (opens a new tab) has established a striking connection (opens a new tab) between them. While still a graduate student, he devised a new type of zero-knowledge proof in which secrecy stems from the fundamental limits of math. Ilango’s approach gets around limitations of zero-knowledge proofs that researchers have long thought insurmountable, pushing the boundaries of what such a proof can be. The work has also spurred researchers to explore other intriguing links between mathematical logic and cryptography.

New documentary asks if we are doomed by AI

“The AI Doc: Or How I Became an Apocaloptimist” is a new documentary exploring the future of Artificial Intelligence and its impact on humanity. NBC News’ Gadi Schwartz spoke with co-founder of the Center for Humane Technology, Tristan Harris, about the documentary and how to navigate overwhelming dread with tech optimism.

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Stanford CS336: Language Modeling from Scratch

This course is designed to provide students with a comprehensive understanding of language models by walking them through the entire process of developing their own.

Drawing inspiration from operating systems courses that create an entire operating system from scratch, we will lead students through every aspect of language model creation, including data collection and cleansing for pre-training, transformer model construction, model training, and evaluation before deployment.

For more information about Stanford’s online Artificial Intelligence programs, visit: https://stanford.io/ai.

Learn course details: https://online.stanford.edu/courses/cs336-language-modeling-scratch.

Visit the course website: https://cs336.stanford.edu/

What If Dark Matter Is Just Black Holes?

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It may be that for every star in the universe there are billions of microscopic black holes streaming through the solar system, the planet, even our bodies every second. Sounds horrible — but hey, at least we’d have explained dark matter.

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BEYOND SILICON: The Rise of the Living Machine

The era of classical computing is over. Welcome to the pulse of the living machine.

In April 2026, we have officially reached the limits of silicon. As AI models demand more energy than entire cities, a new architecture is rising from the labs to our pockets: Neuromorphic Computing.

In this video, we explore why the \.

Emerging Osteoarthritis Treatment Involves Electrically Stimulating Muscles

An estimated 595 million people globally are living with osteoarthritis. This makes it one of the leading causes of pain and disability.

Osteoarthritis is a degenerative joint disease, in which tissues in the joint break down over time. The condition can affect any joint, but most commonly the knees, hips, hands and spine.

However, the impact of osteoarthritis often goes beyond the affected joint. The condition can have profound effects on daily life.

Intel Resurrects On-Package Memory With Razor Lake-AX, Loading Up LPDDR6 to Hunt Down AMD’s Medusa Halo by 2028

Intel’s next-generation Razor Lake-AX chips will compete directly against AMD’s Medusa Halo while featuring on-package memory.

On-Package Memory was last used by Intel for its Lunar Lake SoCs. These SoCs were aimed at low-power mobile platforms, and while the chips themselves offered solid performance in a 30W budget, Intel’s next on-package memory solution will be a big one.

As per Haze2K1 on X, Intel Razor Lake-AX SoCs will feature on-package memory. This is a big deal as moving the DRAM closer to the chip itself has several advantages, leading to efficient & compact PCs. The type of memory isn’t disclosed, but we are likely looking at either LPDDR5X or the next-gen LPDDR6 standards.

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