We should reform the educational system to include cognitive and intellectual enhancements for all including nootropic techniques and brain computer interfaces.
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Batatia and colleagues introduce a computational framework that combines message-passing networks with the atomic cluster expansion architecture and incorporates a many-body description of the geometry of molecular structures. The resulting models are interpretable and accurate.
Job displacement is a serious issue everywhere, but professional computer science majors should get ready for a tightening of the belt in their field.
A Semafor article published this month, written by Reed Albergotti, shows how Amjad Masad, CEO of Replit, is enthusiastic about cutting the firm’s workforce in half, while boosting revenue something like 500% on the back of agenticAI.
Replit’s new tool can reportedly “write a working software application with nothing but a natural language prompt” and that’s going to usher in a new renaissance in computing, while costing some careerists their jobs.
How Symmetry Shapes the Universe: A Peek into Persistent Symmetry Breaking.
Imagine a world where certain symmetries—like the balance between left and right or up and down—are spontaneously disrupted, but this disruption persists regardless of temperature. Scientists are exploring this fascinating behavior in a special type of mathematical framework known as biconical vector models. These models examine how symmetries behave under specific conditions, especially in a universe with two spatial dimensions and one time dimension (2+1 dimensions).
This study takes a closer look at these models and reveals exciting new insights about symmetry breaking in a way that respects established physical principles. Here’s what the researchers discovered:
1. Symmetry Breaking Basics: The study confirms that symmetry can break persistently when these models are designed to include both continuous and discrete symmetry features (described by the mathematical groups O(N)×Z₂). This breaking shifts from one type of symmetry (O(N)×Z₂) to another (O(N)) as temperature rises, but only under certain conditions.
2. Precision at Zero Temperature: By using advanced computational methods, the team accurately described how these models behave when the temperature is absolute zero. Their findings are valid for a wide range of systems, provided the number of components, N, is 2 or greater.
3. Finite-Temperature Effects: As the temperature increases, the discrete symmetry (Z₂) remains the only one to break, ensuring that the laws of physics, specifically the Hohenberg-Mermin-Wagner theorem, are respected. This theorem essentially states that continuous symmetries cannot break spontaneously in 2D systems at finite temperatures.
4. A Critical Threshold: The researchers calculated that this unusual symmetry-breaking phenomenon can only be observed when N (the number of components in the system) exceeds a critical value, approximately 15.
In the fascinating intersection of quantum computing and the human experience of time, lies a groundbreaking theory that challenges our conventional narratives: the D-Theory of Time. This theory proposes a revolutionary perspective on time not as fundamental but as an emergent phenomenon arising from the quantum mechanical fabric of the universe.
#TemporalMechanics #DTheory #QuantumComputing #QuantumAI
“In a sense, Nature has been continually computing the ‘next state’ of the Universe for billions of years; all we have to do — and actually all we can do — is ‘hitch a ride’ on this huge ongoing [quantum] computation.” — Tommaso Toffoli
In my new book Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time (2025), I defend the D-Theory of Time, predicated or reversible quantum computing at large, which represents a novel framework that challenges our conventional understanding of time and computing. Here, we explore the foundational principles of D-Theory, its implications for reversible quantum computing, and how it could potentially revolutionize our approach to computing, information processing, and our understanding of the universe.
Even so, many wonder: If the universe is at bottom deterministic (via stable laws of physics), how do these quantum-like phenomena arise, and could they show up in something as large and complex as the human brain?
Quantum-Prime Computing is a new theoretical framework offering a surprising twist: it posits that prime numbers — often celebrated as the “building blocks” of integers — can give rise to “quantum-like” behavior in a purely mathematical or classical environment. The kicker? This might not only shift how we view computation but also hint at new ways to understand the brain and the nature of consciousness.
Below, we explore why prime numbers are so special, how they can host quantum-like states, and what that might mean for free will, consciousness, and the future of computational science.
Theoretical physicists predict the existence of exotic “paraparticles” that defy classification and could have quantum computing applications.
By Davide Castelvecchi & Nature magazine
Theoretical physicists have proposed the existence of a new type of particle that doesn’t fit into the conventional classifications of fermions and bosons. Their ‘paraparticle’, described in Nature on January 8, is not the first to be suggested, but the detailed mathematical model characterizing it could lead to experiments in which it is created using a quantum computer. The research also suggests that undiscovered elementary paraparticles might exist in nature.
OQD launches the world’s first open-source trapped-ion quantum computer, democratizing access to quantum technology.
Smaller than a strawberry seed, this tiny signal amplifier was produced by the European Space Agency to fill a missing link in current technology, helping to make future radar-observing and telecommunications space missions feasible.
“This integrated circuit is a low noise amplifier, measuring just 1.8 by 0.9 mm across,” explains ESA microwave engineer David Cuadrado-Calle. “Delivering state of the art performance, the low noise amplifier’s task is to boost very faint signals to usable levels.”
It could in the future be employed for both radar-based missions—where the faint signals are the radar echoes received by the instrument after they bounce off Earth’s surface and travel back to the satellite—and telecommunications missions —where the communication signals coming from Earth are amplified by the satellite and sent back to Earth for broadband access or broadcasting services.
