Toggle light / dark theme

The Man Who Stole Infinity

In 1874, German mathematician Georg Cantor published a groundbreaking paper showing that there are different sizes of infinity — a result that fundamentally changed mathematics by treating infinity as a concrete mathematical concept rather than a mere philosophical idea.

That paper became the foundation of set theory, a central pillar of modern mathematics.

Newly discovered letters from Cantor’s correspondence with fellow mathematician Richard Dedekind, believed lost until recently, suggest that a crucial part of the proof Cantor published came directly from Dedekind’s work.

Historian and journalist Demian Goos uncovered these letters while researching Cantor’s life. He found a key letter from November 30, 1873 that shows Dedekind’s proof of the countability of algebraic numbers — the same result Cantor would publish later under his own name.

Earlier histories had portrayed Cantor as a lone genius, but the new evidence reveals he relied heavily on Dedekind’s ideas and published them without proper credit, effectively erasing Dedekind’s role in the discovery.

Cantor’s strategy was partly tactical: because influential mathematician Leopold Kronecker vehemently opposed actual infinity, Cantor framed the paper under a less controversial title (about algebraic numbers), using Dedekind’s simplified methods to “sneak” in the revolutionary idea of comparing infinities.

The result was not just a new theorem but a new way of thinking about infinity, setting the stage for set theory and reshaping mathematics — even though the true story of its origins was more collaborative and ethically complicated than commonly told.

Abstract: Emily Gutierrez-Morton

Yanchang Wang and colleagues (Florida State University) show that in yeast, polo-like kinase Cdc5 promotes the phosphorylation of SUMO protease Ulp2, reducing its affinity for SUMO chains and thereby facilitating polySUMOylation.

Genetics CellCycle


1Infectious Diseases Division, Department of Medicine and.

2Division of Plastic and Reconstructive Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.

3Department of Mathematics, Dartmouth College, Hanover, New Hampshire, USA.

Abstract: Can we identify infections earlier in patients undergoing breast implant reconstruction?

Jeffrey P. Henderson use metabolomic profiling of postimplantation drain fluid, revealing an infection-associated molecular signature that, in longitudinal samples, substantially pre-dated clinical infection diagnosis.


1Infectious Diseases Division, Department of Medicine and.

2Division of Plastic and Reconstructive Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.

3Department of Mathematics, Dartmouth College, Hanover, New Hampshire, USA.

Why do microbes team up? A new model explains nutrient sharing in fluctuating environments

Depending on others for something you need may feel like a risky proposition—and perhaps a human one. It is actually a survival strategy found in the microbial world, and far more frequently than one might expect. Discovering why is key to understanding how microbes form stable communities across medical, industrial, and ecological settings.

A new study by bioengineering professor Sergei Maslov (CAIM co-leader), computational scientist Ashish George, and biology professor Tong Wang explores why interdependence can be such a winning move for microbial communities. Their work, published in Cell Systems, demonstrated that a mathematical model of how bacteria produce and share resources accurately predicted the outcome of experiments with living E. coli strains.

The researchers’ collaboration began during their time as colleagues at the Carl R. Woese Institute for Genomic Biology at the University of Illinois Urbana-Champaign. George continued the collaboration in his position at the Broad Institute; Wang, in his appointment at Purdue University. Maslov, who led the study, remains at Illinois and is an affiliate member of the National Institute for Theory and Mathematics in Biology.

When light ‘thinks’ like the brain: The connection between photons and artificial memory

An international study has revealed a surprising connection between quantum physics and the theoretical models underlying artificial intelligence. The study results from a collaboration between the Institute of Nanotechnology of the National Research Council (Cnr-Nanotec), the Italian Institute of Technology (IIT), and Sapienza University of Rome, together with international research institutions. The research paper was published recently in the journal Physical Review Letters.

Italian researchers show that identical photons propagating within optical circuits spontaneously behave like a Hopfield Network, one of the best-known mathematical models used to describe the associative memory mechanisms of the human brain.

“Instead of using traditional electronic chips, we exploited quantum interference —the phenomenon that occurs in photonic chips when particles of light overlap and interact with one another to encode and retrieve information,” explains Marco Leonetti, coordinator and corresponding author of the study, senior researcher at Cnr-Nanotec and affiliated with the Center for Life Nano-and Neuro-Science at the Italian Institute of Technology (IIT) in Rome. “In this system, photons are not merely carriers of data, but themselves become the ‘neurons’ of an associative memory.”

Mathematicians make a breakthrough on 2,000-year-old problem of curves

From the article:

“A Rule for Every Curve”

That’s where the new proof comes in. Its authors present a formula that can be applied to any curve in the mathematical universe, whatever its degree. It doesn’t say precisely how many rational points that curve has, but it gives an upper limit on what that number can be.

Previous formulas of this kind either didn’t apply to all curves or depended on the specific equation used to define them. The new formula is something mathematicians have hoped for since Faltings’s proof, a “uniform” statement that applies to all curves without depending on the coefficients in their equations. “This one statement gives us a broad sweep of understanding,” Mazur says.

It depends on only two things. The first is the degree of the polynomial that defines the curve—the higher the degree is, the weaker the statement becomes. The second thing the formula depends on is called the “Jacobian variety,” a special surface that can be constructed from any curve. Jacobian varieties are interesting in their own right, and the formula offers a tantalizing path for studying them as well.”


Since ancient Greece, researchers have tried to isolate special rational points on curves. Now they have the first ever formula that applies uniformly to all curves.

Physicists dream up ‘spacetime quasicrystals’ that could underpin the universe

Spacetime obeys a rule known as Lorentz symmetry means that something is unchanged whether you’re sitting still or moving at close to the speed of light. For example, the laws of physics respect Lorentz symmetry: They don’t change for fast moving observers. Lorentz symmetry doesn’t hold for previously known quasicrystals, or for normal crystals either: An ant sitting still would observe a different structure than would a near light-speed ant. In relativity, observers traveling at high speeds observe an apparent shortening of objects, and that distorts the materials’ structure.

But the new spacetime quasicrystals obey Lorentz symmetry. They would appear the same to an ant sitting still as to one on a speeding rocket. The researchers mathematically formulated their quasicrystals by taking a four-dimensional slice through a grid of points in higher dimensions and projecting those points onto the slice. The slice has a slope that is an irrational number — one that can’t be written as a fraction of two whole numbers, such as pi. The irrational slope means the slice never directly intersects the points on the grid, and that helps produce the structure that never repeats.

Quasicrystals are a mathematical concept that shows up in the structure of real materials, but the concept could appear elsewhere. “The spacetime that we live in could be a quasicrystal,” says Sotiris Mygdalas of the Perimeter Institute in Waterloo, Canada, a coauthor of the study.

Leveraging current steering and the biophysics of spike generation for cellular-resolution electrical stimulation of neurons

Vasireddy et al. provide a framework for electrical stimulation current steering using several microelectrodes to most effectively target individual neurons in a population. A biophysically inspired mathematical model fits the linear and nonlinear responses of neurons, and data-driven regression models are used to efficiently find the most selective electrical stimulation patterns.

Living tissues are shaped by self-propelled topological defects, biophysicists find

With a new mathematical model, a team of biophysicists has revealed fresh insights into how biological tissues are shaped by the active motion of structural imperfections known as “topological defects.” Published in Physical Review Letters, the results build on our latest understanding of tissue formation and could even help resolve long-standing experimental mysteries surrounding our own organs.

Topological defects are structural imperfections that emerge in systems hosting multiple, incompatible configurations of particles. They can be found in many different kinds of systems—both natural and manmade—but are especially important for describing “active fluids,” which are composed of particles that constantly harvest energy from their surroundings and convert it into motion, generating their own propulsion.

This behavior also underpins the physics of liquid crystal displays, where topological defects emerge in 2D systems of rod-shaped molecules and help determine how light is modulated to produce the images and colors we see every day on our phones, laptops, and TV screens.

The Genius of Computing with Light

Check out shortform and get a FREE trial and $50 OFF the annual plan! at https://www.shortform.com/DrBen.

PsiQuantum are world leaders in the race to utility-scale quantum computing, but they have been shrouded in mystery for over a decade…until now.

Thanks to some good fortune and incredible generosity from the PsiQuantum team I was able to get behind the scenes and see what makes their ground-breaking quantum computer ‘click’

You can see their public paper here: https://www.nature.com/articles/s41586-025-08820-7

0:00 Silicon Valley’s Most Secretive Quantum Computer.
1:38 A Quantum Computer that runs on Light.
6:03 How to Create a Single Photon.
9:00 How to Build a Quantum Clock.
10:48 Ad Read.
11:54 Detecting Single Photons.
15:00 Creating the Perfect Material.
18:19 How to do math with light.
21:45 How to Build a Scalable Quantum Computer.
24:27 Converting Space to Time.
27:25 The First Photonic Quantum Computer Demonstrator.

PATREON:👨‍🔬 🚀 http://patreon.com/DrBenMiles.

/* */