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World First: Patient Receives High-Risk Therapy to Make Cells Young Again

An eagerly awaited and controversial clinical trial to ‘wind back the clock’ on aging cells in the eye and restore them to a more youthful state has officially begun.

This week, the United States biotechnology company Life Biosciences, Inc. announced that it had dosed its first patient with an experimental therapy designed to reverse age-related vision loss.

The ambitious idea is to turn back aging by activating three genes in retinal ganglion cells, which connect the brain to the eyes.

Microsoft Announces 1000x Better Quantum Chip

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Microsoft just announced the Majorana 2 — a topological quantum chip with qubits 1,000 times more reliable than its predecessor. I got exclusive access to Microsoft’s quantum lab in Copenhagen and sat down with Chetan Nayak (Director of Quantum Hardware at Microsoft) to find out what actually changed, whether the results hold up, and what this means for the timeline to a useful quantum computer.

0:00 — Microsoft Announce Majorana 2
1:07 — How Quantum Computers Actually Work.
3:12 — The Case for Topological Qubits.
4:10 — How to Build a Topological Qubit.
8:06 — Ad break.
9:45 — What Changed in Majorana 2
13:05 — Why Lead Beats Aluminium.
14:33 — When Are We Getting a Quantum Computer?

Microsoft Announcement: https://quantum.microsoft.com/en-us/i… Paper: https://arxiv.org/abs/2606.03884 A note Microsoft shared with me on the retracted 2018 paper: “In 2018, an independent university research paper that drew funding from several sources including Microsoft, was retracted by Nature. The research was not conducted by Dr. Chetan Nayak or any members of the Microsoft team leading the work on the Majorana 1.” My Patreon:🚀 / drbenmiles My Instagram: / drbenmiles My TikTok: / drbenmiles My Newsletter: https://drbenmiles.substack.com/ My Merch: https://www.rockstarscientist.org/ 🔗 Linktree: https://linktr.ee/drbenmiles MY GEAR 📷 Sony A7III https://amzn.to/3OWrmGd 🔎 Sigma 402,965 16 mm F1.4 https://amzn.to/49BNJdq 🎤 Shure SM7B https://amzn.to/4sF3ngx 🎤 Zoom H4n Pro https://amzn.to/3OXsklB 🎤 Sennheiser AVX https://amzn.to/4geWnBi.
arXiv Paper: https://arxiv.org/abs/2606.

A note Microsoft shared with me on the retracted 2018 paper: \.

Google Just Revealed What Comes After AGI And It’s Shocking

Google DeepMind just dropped a massive paper called From AGI to ASI, and the message is bigger than another AI release. The paper argues that AGI may not be the finish line everyone is waiting for. It may be the moment the real race begins. Once human-level AI can be copied, sped up, connected into agent teams, and used to build better AI, the jump after AGI could matter even more than AGI itself.

📩 Brand Deals & Partnerships: [email protected].
✉ General Inquiries: [email protected].
🚀 New Channel: / @space.revolution.

📌 What You’ll See:
Google DeepMind’s new From AGI to ASI paper.
SOURCE: https://deepmind.google/research/publ… 2026 framework for tracking progress toward AGI SOURCE: https://blog.google/innovation-and-ai… DeepMind’s approach to AGI safety and security SOURCE: https://deepmind.google/blog/taking-a… Demis Hassabis on AI agents and the road to AGI SOURCE: https://www.axios.com/2026/05/26/deep… The Legg and Hutter paper behind formal machine intelligence SOURCE: https://arxiv.org/abs/cs/0605024 🚨 Why It Matters This is bigger than another AI paper. Google DeepMind is already talking about what happens after AGI. If human-level AI can be copied, sped up, connected, and used to build better AI, then intelligence itself could become an industrial process. #ai #agi #deepmind.
The full technical paper on arXiv.
SOURCE: https://arxiv.org/abs/2606.12683
DeepMind’s earlier framework for measuring AGI progress.
SOURCE: https://deepmind.google/research/publ
Google’s 2026 framework for tracking progress toward AGI
SOURCE: https://blog.google/innovation-and-ai
DeepMind’s approach to AGI safety and security.
SOURCE: https://deepmind.google/blog/taking-a
Demis Hassabis on AI agents and the road to AGI
SOURCE: https://www.axios.com/2026/05/26/deep
The Legg and Hutter paper behind formal machine intelligence.
SOURCE: https://arxiv.org/abs/cs/0605024

🚨 Why It Matters.
This is bigger than another AI paper. Google DeepMind is already talking about what happens after AGI. If human-level AI can be copied, sped up, connected, and used to build better AI, then intelligence itself could become an industrial process.

#ai #agi #deepmind

Enhancing the Quantum Oscillation Toolbox

A new experiment probes the quantum geometry of electronic wave functions involved in a nonlinear Hall response.

The transport properties of quantum materials often vary periodically with the strength of an applied magnetic field. These quantum oscillations have long provided physicists with an indispensable tool for extracting subtle, otherwise-inaccessible information on electronic phases of matter [1]. Now an experiment by Jinrui Zhong of the Beijing Institute of Technology and his colleagues has revealed a novel kind of quantum oscillation in moiré systems [2]. These are materials made from stacked monolayers that are twisted with respect to each other to create, in effect, atomic lattices with much wider unit cells. The experiment pointed to a special mechanism for facilitating the novel periodic fluctuations: the emergence of so-called Brown-Zak fermions.

Bidirectional manipulation of gate-free quantum electronic states via semiconductor interface engineering

A recent study published in Nature Communications demonstrates precise control over electron spatial arrangement in two directions simultaneously—without any applied voltage—through interface engineering between semimetal bismuth (Bi) thin films and two-dimensional semiconductor MoS₂

Researchers found that in the horizontal direction, the Moiré potential generated by small-angle twisted bilayer MoS₂ confines electrons to specific sites; in the vertical direction, tuning the bismuth film thickness modulates the electron effective mass, enabling switching between two distinct configurations—thinner films favor electron clustering into a trimer (molecular-like bonding) arrangement, while thicker films drive electrons apart into a periodic Kagome-like configuration.

Requiring no external voltage to induce electron confinement, this material system offers a critical foundation for developing charge qubits and ultra-low-power devices, potentially opening new design pathways for next-generation quantum computing and energy-efficient semiconductor chips.

Abstract algebra unlocks distinguishable states for quantum systems

Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing and control that have the promise of outperforming traditional systems. Creating stable, measurable, distinguishable quantum states—which would be the heart of any such system—is a daunting task.

Quantum states possess unique properties that can be exploited to develop novel information-processing systems. Two key properties, stability and distinguishability, are hard to achieve, however. Extracting information from a quantum system depends on the distinguishability of quantum states, an intrinsic property associated with a property known as orthogonality. Nevertheless, no two Gaussian states (a widely studied class of quantum states) are orthogonal, and this yields an unavoidable error when attempting to distinguish them.

In addition, present quantum devices tend to remain stable only for a fraction of a second and require complex protocols to distinguish states. Now, researchers at MIT and the University of Ferrara have found a new approach for creating easily distinguishable states that could help enable the development of these new quantum-based devices.

Bacteria reveal ‘glue’ protein that fastens antibiotic-resistant outer membrane to cell wall

Researchers at the University of Notre Dame and collaborators have discovered a key process in how the outer membrane of gram-negative bacteria attaches to the cell wall, advancing the understanding of how these bacteria frequently develop resistance to antibiotics.

The research, published in the Journal of the American Chemical Society, was carried out in the laboratory of Shahriar Mobashery, Navari Professor of Life Sciences in the Department of Chemistry and Biochemistry, with structural aspects of the study performed by Juan A. Hermoso of the Institute of Physical Chemistry “Blas Cabrera” in Madrid, Spain. The researchers discovered that the protein PA2854 performs the reaction that keeps the outside layers, or envelope, of gram-negative bacteria connected to each other.

Mobashery and collaborators studied the process in Pseudomonas aeruginosa (P. aeruginosa), a ubiquitous antibiotic-resistant bacterium commonly affecting people with cystic fibrosis. P. aeruginosa, like other gram-negative bacteria including E. coli, Klebsiella pneumoniae and Salmonella, is shielded by a three-layer biological envelope that prevents many antibiotics from penetrating and damaging the bacteria. Gram-positive bacteria do not have an outer membrane and are generally more susceptible to antibiotics.

Brain-computer interface enables independent, accurate communication for man living with ALS

A new study demonstrates that a person with severe paralysis caused by amyotrophic lateral sclerosis (ALS) can use a brain-computer interface (BCI) at home to communicate, work and interact with the digital world—without the need for researcher support. Published in Nature Medicine, the results mark a significant step toward delivering practical assistive technology for people with severe speech and motor impairments.

The BCI system was developed at UC Davis, in collaboration with colleagues at Brown University and Mass General Brigham Neuroscience Institute. It is equipped with advanced decoding algorithms that translate neural signals into text (speech BCI) and enable cursor control (movement BCI). It allows full interaction with a personal computer.

The brain-computer interface is designed to restore communication and computer control by decoding neural activity linked to attempted speech and movement. Although recent advances have achieved high accuracy in research settings, real-world adoption has been limited by two key challenges: independent at-home use and reliable long-term performance.

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