Toggle light / dark theme

Mapping the neuronal building blocks of human language with language models

Together, these findings provide one of the clearest views yet of the brain’s microscopic “language circuitry.” Rather than language emerging from a single language center, it appears to arise from vast networks of specialized neurons working together across multiple scales—from individual cells, to local neural populations, to entire brain regions.


Wide-scale recordings reveal neurons in the human brain that encode fundamental components of language such as the grammatical relationships between words, their parts of speech and the higher-order syntactic structure of phrases and sentences.

Jaron Lanier: The Singularity Is A Religion for Geeks

Fifteen years ago, I sat down with the father of virtual reality, and he told me the Singularity was a religion for geeks.

I disagreed with him. To his face.

Jaron Lanier was no technophobe. He built the tech. He just refused to worship it. In 2011, that made him an outlier. Everyone in my orbit was mapping exponential curves and setting dates for digital immortality.

Now look at the culture around #AI.

We have prophets and prophecies, heretics and true believers, people who genuinely expect a machine god to arrive and solve death, meaning, and the economy on our behalf. Lanier saw the shape of that faith before most of us would admit it was a faith at all.

I still think he was wrong about parts of it. I also think he was early on the part that matters most: technology is the How. It was never going to answer the Why or the What. That is the work a religion does, and for a lot of brilliant people the #Singularity quietly became exactly that.

Charlie Stross: The World is Complicated. Elegant Narratives Explaining Everything Are Wrong!

Fifteen years ago, I interviewed Charlie Stross about a short story called “Lobsters.”

This spring, a thousand people queued outside Tencent’s Shenzhen headquarters to raise one.

June 2011, Singularity 1 on 1. Back then, “singularity” was a word most people filed under astrophysics, not #AI. Charlie’s 2001 story “Lobsters,” which grew into Accelerando, was one of the sharpest early maps of what happens when intelligence stops being exclusively biological. Uploaded minds. Post-scarcity economics. Legal personhood for software. An economy run by optimization processes no human fully follows.

He wrote it six years before the iPhone.

Now look at 2026. OpenClaw, the open source agent built by Austrian developer Peter Steinberger, now at OpenAI, became the fastest-growing project in GitHub history. In China, installing it is called 养龙虾, “raising lobsters,” after the red logo. Shenzhen, Wuxi and Changshu rushed out subsidy packages. Retirees, schoolkids and office workers lined up for help. A grey market of house-call technicians appeared within days.

Any connection to Charlie’s story? None. The logo is a claw pun on Claude.

Single fission experiment maps excess gamma rays from more than a dozen unstable nuclei

In a single experiment, physicists have measured the “excess” emission of high-energy gamma rays from more than a dozen heavy, unstable atomic nuclei. Mapping the gamma-ray emissions of so many isotopes produced in nuclear fission marks an important step toward a better understanding of one of the key phenomena in modern nuclear physics: the fission process itself.

Why do excited heavy nuclei produced in fission appear to emit excessive amounts of particularly energetic gamma radiation? New clues to this long-standing question have emerged from an international experiment conducted at the GANIL accelerator facility in Caen, northern France. Here, a beryllium-9 target was bombarded with uranium-238 ions, producing unstable curium-247 nuclei that rapidly underwent fission into two lighter fragments.

By combining unique experimental techniques, researchers were able—for the first time within a single experiment—to collect data on high-energy gamma-ray emissions from more than a dozen heavy, unstable isotopes. The first results of the experiment, to which the Institute of Nuclear Physics of the Polish Academy of Sciences (IFJ PAN) in Krakow made a significant contribution, have just been published in Physics Letters B.

Neutron-based technique reveals uneven lithium flow in batteries

A neutron-based mapping technique has been used to track the movement of lithium ions in real time inside a functioning all-solid-state battery.

Researchers at the Institut Laue-Langevin (ILL) in France discovered unexpected structural complexities, which could inform the design of safer, more efficient solid-state batteries.

The operando neutron powder diffraction technique was used to peer inside the battery interface. Interestingly, the experiment revealed a chaotic structure within the electrode, showing that lithium doesn’t flow through the battery nearly as smoothly as previously thought.

The same sounds are mapped similarly in the human and mouse brain, study finds

While exploring the world around them, both humans and other animals continuously interpret information they pick up with their sight, hearing, touch and other senses. Neuroscience research suggests that the brain does not individually process every single sensory experience, but rather organizes information into mental models known as internal representations.

Internal representations can help recognize familiar patterns or relationships between different stimuli and experiences. While many past studies have explored the role of these perceptual “maps,” fewer have looked at how stimuli are represented in the brains of different species and how they influence learning and decision-making.

Researchers at Johannes Gutenberg University Mainz recently carried out experiments aimed at better understanding how humans and mice perceive, mentally represent and distinguish the same sounds. Their paper, published in Communications Psychology, suggests that sounds are organized similarly in the human and mouse brain, but also that auditory maps tend to remain surprisingly stable during learning and decision-making.

NASA space telescope maps magnetic fields of ‘Lighthouse’ pulsar

For the first time, scientists have used NASA’s IXPE (Imaging X-ray Polarimetry Explorer) to directly measure the magnetic fields of PSR J1101−6101, a pulsar located within what is often referred to as the Lighthouse Nebula. The results provide new insight into the structure of some of the most extreme objects in the cosmos, as NASA continues to explore the secrets of how the universe works. A paper describing the results was published Thursday in The Astrophysical Journal.

A pulsar is a type of neutron star with a strong magnetic field that spins incredibly fast. The pulsar at the center of the Lighthouse Nebula is rotating 16 times per second. Neutron stars are the leftover cores of massive stars, formed at the end of their life cycles, that possess more mass than the sun. They are condensed down to the size of a city, making them natural laboratories for studying extreme physics.

In June 2025, IXPE spent nearly 18 days focused on the Lighthouse Nebula.

New model maps solar storms across 1 million miles around Earth

A team at the Applied Physics Lab is working to understand the complex science behind predicting invisible threats that can quickly cripple electric grid infrastructure on Earth.

On the morning of Sept. 1, 1859, telegraph operators all over North America and Europe suddenly lost control of their machines. Lines disconnected. Wires sparked and caught fire. Operators received electric shocks.

The source of this widespread disturbance was more than 150 million kilometers (more than 93 million miles) away: the sun. That night, a solar storm caused brilliant auroras to appear far beyond Earth’s poles, waking people in some regions who mistook the light for morning.

/* */