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Singularity Hub chronicles technological progress by highlighting the breakthroughs, players, and issues shaping the future as well as supporting a global community of smart, passionate, action-oriented people who want to change the world.

A 49-year-old nurse with multiple sclerosis gave up her active job, feared ending up in a wheelchair full-time, and coul...
05/29/2026

A 49-year-old nurse with multiple sclerosis gave up her active job, feared ending up in a wheelchair full-time, and couldn't carry her grandchildren without risking a fall. She had tried the best available medications. Nothing was improving.

Then she enrolled in a clinical trial for a therapy originally designed to treat cancer — and became the first MS patient to receive it.

CAR T cell therapy works by reprogramming a patient's own immune cells to hunt down the specific cells driving disease. In blood cancers, it has produced long-term remission in patients who had run out of options. Researchers are now asking whether it can do the same thing for autoimmune conditions — not just managing symptoms, but resetting the immune system entirely.

There are now hundreds of active clinical trials across lupus, Graves' disease, vasculitis, stiff person syndrome, and more. Early results in several of them are difficult to ignore.

The risks are real, the costs are significant, and there are open questions that won't be answered for years. But for patients who have exhausted every other option, the calculus looks different.

What happened to Jan after her infusion — and what researchers are learning about how far this therapy can go — is worth reading in full.

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For 80 years, one of Paul Erdős' most famous conjectures resisted every mathematician who tried to crack it.Last week, a...
05/29/2026

For 80 years, one of Paul Erdős' most famous conjectures resisted every mathematician who tried to crack it.

Last week, an AI solved it. Not a system built specifically for mathematics — a general-purpose model. The approach it used drew from a corner of mathematics that nobody had thought to connect to this problem.

A Fields Medalist — the highest honor in mathematics — reviewed the result and said he would have recommended it for publication in one of the world's most prestigious journals without hesitation. He also noted that no AI-generated proof had ever come close to this level before.

The same week, a human mathematician extended the result further. A Google DeepMind team closed nine additional open problems left by Erdős. One week. Multiple breakthroughs. A decades-long backlog, clearing fast.

What the AI did — and didn't do — to get there is the more interesting story. And it raises questions about mathematical research, human creativity, and the nature of discovery that the field is only beginning to work through.

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Researchers just put spinach inside a mouse's eye. And it worked.Scientists at the National University of Singapore deve...
05/26/2026

Researchers just put spinach inside a mouse's eye. And it worked.

Scientists at the National University of Singapore developed eye drops containing tiny photosynthetic particles extracted from spinach. When applied to mice with dry eye disease, the particles entered the eye's cells and — powered by ambient light — began producing antioxidants the same way a plant would. No device. No external power source. Just light.

Dry eye disease affects an estimated 1.5 billion people worldwide. At its core is a runaway cycle: damaged cells can't produce enough of a protective molecule called NADPH, which leads to more inflammation, which damages more cells. Current treatments are expensive, limited in availability, and carry side effects with long-term use.

LEAF — the name of the technology — bypasses that cycle entirely. In mice treated twice daily for five days, the drops outperformed an approved pharmaceutical drug. They reversed corneal damage, doubled NADPH levels, and reduced a key damaging chemical by over 95 percent. The plant material didn't trigger immune responses in the eyes or elsewhere in the body.

The particles are shelf-stable for two weeks at room temperature, can be manufactured consistently across locations, and require no specialized equipment to administer.

The researchers believe LEAF has strong potential for clinical translation. They're also exploring versions for skin inflammation and deeper organ treatments — anywhere light can reach or be delivered.

An eye drop made from spinach, activated by sunlight, that outperforms existing drugs. Sometimes the most unexpected ingredients produce the most consequential results.

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Data centers now consume 6 percent of all electricity in the United States. Two years ago that figure was considerably l...
05/24/2026

Data centers now consume 6 percent of all electricity in the United States. Two years ago that figure was considerably lower. The jump is almost entirely driven by AI.

The biggest facilities now draw as much power as small cities. Global data center consumption has hit 67.7 gigawatts, a 36 percent increase in two years. The US accounts for 43 percent of that total. In Germany, data centers consume 9.5 percent of national electricity. In the UK, 5.8 percent.

A new report from the International Data Center Authority identifies a threshold: significant community and political pushback tends to begin once data centers surpass 5 percent of a country's power supply. The US crossed that line.

Hundreds of state-level bills to regulate data centers have been introduced. In Maine, the legislature passed a bill halting construction of large data centers until 2027 before the governor vetoed it. Developers in Northern Virginia's Data Center Alley, already the densest concentration of facilities in the world, cannot launch new projects until 2032 due to energy scarcity.

Water is equally contested. A single large facility can consume as much water daily as 6,500 households.

There is also waste baked into the existing system. An estimated 13 percent of US cloud consumption comes from abandoned test environments and unused applications that continue drawing power around the clock without doing anything useful.

Annual global data center spending is approaching $1 trillion, with up to $700 billion anticipated in the US alone this year. The industry shows no sign of slowing.

Whether the grid can absorb what's coming, and how hard communities push back, may determine whether the AI boom continues or runs into a wall it can't compute its way through.

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A Stanford researcher was using Google DeepMind's Co-Scientist AI to hunt for treatments for chronic liver disease. It s...
05/23/2026

A Stanford researcher was using Google DeepMind's Co-Scientist AI to hunt for treatments for chronic liver disease. It surfaced three promising drug candidates. Two worked well in lab tests. The third was already FDA-approved for a different condition entirely. "When I saw that it was really quite striking. I kind of fell off my chair," he said.

That same week, a separate AI system called Robin was given a different problem: find a treatment for a dry-eye disorder that causes blindness. Robin scanned hundreds of thousands of papers, patents, and clinical trial records. It ran what the researchers called a "tournament of ideas," with AI agents debating hypotheses and ranking them by evidence. It landed on ripasudil, a glaucoma drug, as the top candidate. The team says the process was 200 times faster than scientists working alone.

Both studies were published in Nature this week. Both systems work the same basic way: read the literature, generate hypotheses, suggest experiments, analyze results, repeat. Scientists stay in the loop throughout, checking the AI's reasoning and guiding its direction.

None of the candidates have cleared clinical trials yet. AI hallucination is a documented risk, and both teams built in safeguards to keep the systems grounded in established evidence. Even Nature's editorial team cautioned: "We don't yet know whether greater efficiency equates to greater insight."

But a researcher at Cambridge put it another way. Co-Scientist flagged a protein she had missed, one that intersected directly with work she was already doing. "I spent the rest of the week itching to get back to the lab."
That instinct, curiosity accelerated rather than replaced, may be the most honest description of what these tools actually do.

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Unitree just debuted a $650,000 rideable mech suit — and it's not a concept. It's for sale.The GD01 is a 500kg transform...
05/22/2026

Unitree just debuted a $650,000 rideable mech suit — and it's not a concept. It's for sale.

The GD01 is a 500kg transformable robot that a human can pilot from an internal cockpit. It switches between bipedal and quadrupedal modes, can knock through cinderblock walls, and carry a passenger around on four legs like a mechanical horse. Unitree calls it "the world's first production-ready manned mecha."

The company — already well known for its humanoid G1 robots — hasn't specified an industry use case. The launch video shows the CEO climbing into the cockpit and the machine demolishing a wall. The product description simply asks buyers to "use the robot in a friendly and safe manner."

A few open questions remain. It's unclear exactly how the GD01 is operated, as some footage shows it functioning without anyone inside. The seat also doesn't reorient when the machine shifts between modes, which raises some obvious ergonomic concerns for anyone actually riding in it.
Wired confirmed with Unitree that the product is real and available for order.

Whether this is a vanity product, a proof of concept, or the early version of something with serious industrial or military applications — that's the more interesting question.

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A particle of light just exited a cloud of atoms before it entered. On average.Physicists at the University of Toronto f...
05/21/2026

A particle of light just exited a cloud of atoms before it entered. On average.

Physicists at the University of Toronto fired photons through a cloud of rubidium atoms. When the photons made it straight through, they arrived earlier than the speed of light would predict — so much earlier that the math produces a negative dwell time. The photon appeared to spend less than zero time inside the cloud.

Skeptics had a ready explanation: only the leading edge of the light pulse gets through, making it seem like early arrival. Reasonable. Except researchers didn't stop there.

They queried the atoms themselves — using a separate, carefully calibrated laser to measure whether the photon's energy was actually dwelling in the atomic cloud during transit. The result matched the negative time exactly. Two entirely different measurements. Same paradoxical answer.

The researchers are clear: this is standard physics, fully explained by quantum mechanics. No time machine. But what it does confirm is that negative dwell time is not a measurement artifact — it has a real, directly measurable effect on the atoms the photon passes through.

Quantum mechanics keeps producing results that are technically explainable and yet deeply strange. What does it mean for time to be negative, even briefly, even at the quantum scale?

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A mine in Timmins, Ontario has been venting hydrogen gas for decades. Researchers spent 11 years measuring it.The site r...
05/20/2026

A mine in Timmins, Ontario has been venting hydrogen gas for decades. Researchers spent 11 years measuring it.

The site releases over 140 tons of hydrogen per year. Enough to generate 4.7 million kilowatt-hours of energy annually. Enough to power hundreds of homes or an industrial facility. The gas was already escaping.

Capturing it would require relatively modest additional investment.
The process is called serpentinization — water reacting with iron-rich minerals deep in the earth's crust. More than 70 percent of the continental crust can produce hydrogen this way. The researchers say this mine is far from unique.

The same sites also release helium at predictable rates. This mine alone may be producing 140 to 280 tons of helium annually. At current prices near $100,000 per ton, that changes the economics considerably.

The study proposes a different model for the hydrogen economy: not shipping fuel long distances under extreme conditions, but using what's already being produced beneath the communities that need it.

A clean fuel source, generated continuously by geology, already leaking out of the ground in thousands of locations worldwide.

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Seven patients were under full general anesthesia. Completely unconscious. Unable to move, respond, or form memories.Res...
05/18/2026

Seven patients were under full general anesthesia. Completely unconscious. Unable to move, respond, or form memories.

Researchers at Baylor College of Medicine implanted hair-thin probes into their hippocampi and played them podcast clips from The Moth Radio Hour.

The brains kept listening.

Specific groups of neurons responded differently to nouns, verbs, and adjectives. Others recognized that "cat" is conceptually closer to "dog" than "pen." The hippocampus tracked the narrative flow of stories and predicted upcoming words based on sentence context, the same activity patterns seen in fully awake brains.

None of the patients remembered any of it upon waking. Scientists had long believed language processing required consciousness. The assumption was that anesthesia disrupts large-scale brain communication so thoroughly that complex interpretation becomes impossible. These findings suggest something different: even as global brain activity breaks down, local circuits keep working, processing sophisticated information without any awareness to support them.

The researchers want to know if traces of those stories lingered unconsciously, whether the brain does this in other languages, and whether it happens differently in sleep or coma.

The most pressing question may be practical. If an unconscious brain is actively processing the world around it, what does that mean for patients in vegetative states? Could understanding this activity help bring them back?

"Maybe the most important thing is what can we do about this," said the study's lead author. "Can we bring them back?"

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Researchers at UC San Diego took single-celled algae from freshwater puddles, attached drug-carrying nanoparticles to th...
05/15/2026

Researchers at UC San Diego took single-celled algae from freshwater puddles, attached drug-carrying nanoparticles to them, and turned them into swarms of microscopic robots controlled by colored light.

Blue light: the algae cluster together, forming precise shapes on command. Red light: they scatter. In minutes, the team shaped living swarms to resemble entire continents. Stars. Letters. Arrows that moved while holding their form.

Then they took it further. An AI scanned a simulated wound on a dummy hand, mapped the infected tissue, and laser-printed a custom stencil matching its exact shape. Under blue light, the algae assembled onto a piece of medical tape in that precise geometry. A burst of red light released over 90 percent of them directly onto the target area in under two minutes.

The algae are roughly the size of a skin cell, small enough to thread through spaces bacteria-based robots can't reach. They've already delivered antibiotics for bacterial pneumonia in mice and been tested as a treatment for inflammatory bowel disease. The difference now is control. Researchers can reliably dictate the swarm's shape, size, and position on demand.

The system currently works on surfaces since it relies on light for control. Getting it to work inside the body is the next challenge. But the underlying concept, a living swarm that assembles and disassembles at the flick of a switch, is no longer theoretical.

What does targeted drug delivery look like when your vehicle is a programmable swarm of organisms smaller than a skin cell?

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