James' World 2

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Elon Musk made some striking predictions about the impact of artificial intelligence (AI) on jobs and income at the inaugural AI Safety Summit in the U.K. in November. 

The serial entrepreneur and CEO painted a utopian vision where AI renders traditional employment obsolete but provides an “age of abundance” through a system of “universal high income.”

“It’s hard to say exactly what that moment is, but there will come a point where no job is needed,” Musk told U.K. Prime Minister Rishi Sunak. “You can have a job if you want to have a job or sort of personal satisfaction, but the AI will be able to do everything.”

While admitting this prospect may not make “people comfortable,” Musk seemed optimistic about what he termed a “protopian” AI-driven future.

“I think everyone will have access to this magic genie, and you’re able to ask any question. It’ll be certainly bigger for education. It’ll be the best tutor,” he said. “And there will be no shortage of goods and services. It will be an age of abundance.”

Musk’s concept of “universal high income” appears to be an evolution of the universal basic income (UBI) idea supported by other tech leaders like Sam Altman. 

“We won’t have universal basic income. We’ll have a universal high income,” Musk said, though he did not explicitly define the difference. “In some sense, it’ll be somewhat of a leveler, an equalizer.” It’s worth noting this isn’t the first time Musk addressed the topic. In 2018, he posted on X: “Universal income will be necessary over time if AI takes over most human jobs.”

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Don Lemon, the former television anchor, said Elon Musk’s X had “wooed” him to provide content on the social media platform. Credit…Evan Agostini/Invision, via Associated Press

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We’re closer than ever to mapping the entire brain to the microscopic level. Hundreds of neuroscientists across the world recently characterized more than 3,000 human brain cell types as part of the National Institute of Health’s BRAIN Initiative Cell Census Network, publishing almost two dozen papers in four Science journals today. This super-focused attention to detail could unlock many mysteries surrounding that complex organ, such as what happened in our brains to distinguish us from other primates. 

“This is the first large-scale, detailed description of all the different kinds of cells present in the human brain,” says Rebecca Hodge, an assistant investigator at the Allen Institute in Seattle who co-authored multiple studies in the paper package. Her hope is that this brain atlas provides a community resource for scientists to explore how the wide variety of brain cells contribute to health and disease. This first suite of studies shows three main ways the brain map can be used for biology and medicine.

An evolving brain

A human brain atlas can teach us about our evolutionary history. One study published today in Science used single-nucleus RNA sequencing to measure the gene expression of individual brain cells in humans and five other primate species, including chimpanzees and gorillas. In this method, scientists pull out individual cells from a piece of tissue, break them open to expose the genetic messengers inside, then use tags akin to tiny barcodes to identify that material. “This is the main technology used in some of these papers that are coming out, and it’s a technique that’s only been around for the past 10 years,” Hodge says. Getting this genetic profile allows researchers to group clusters of cells into specific types. 

Our cells’ composition and organization is similar to those of our close relatives. However, the biggest differences seemed to occur in a brain region called the middle temporal gyrus, which is involved in processing semantic memory and language. Humans had higher numbers of projecting neurons in this area compared to other species. What’s more, the researchers highlighted a difference in gene expression that promoted synaptic plasticity, which is the ability of neurons to strengthen brain connections. This feature is an important component for learning and memory, and it might explain how humans developed complex cognitive skills.

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Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystem disorder from which adults rarely recover. Researchers have struggled to find changes in the body that underlie the illness, which often appears following an infection, partly because it may arise in different forms. Now, scientists at the National Institutes of Health (NIH) have completed perhaps the most comprehensive study of ME/CFS to date by examining a carefully selected group of participants. In the study, which was published today in Nature Communications, the researchers observed changes that reveal how the disease disrupts the immune and nervous systems.

In addition to having overwhelming fatigue, people with ME/CFS experience a range of other symptoms such as brain fog, hypersensitivity to light, and short-term memory loss. Medical professionals have historically dismissed the condition as a psychosomatic disorder by implying the disease lacks a physiological basis.

These dismissive views have held back ME/CFS research, and scientists have made little progress toward developing diagnostics and therapies and understanding the mechanism behind the condition. In recent years some progress has been made in accepting ME/CFS as a real physiological condition, in part because of the emergence of long COVID (a condition that, according to some studies, qualifies for an ME/CFS diagnosis about half of the time). But doubt over its legitimacy lingers. Alison Sbrana, a person with ME/CFS who was a participant in the new study, says that she would be shocked to meet someone with ME/CFS who hasn’t had their concerns brushed aside at some point.

Avindra Nath, a neurologist at NIH, set out to unravel the condition’s inner workings. First, his team had to carefully select a cohort of ME/CFS participants for the study because the condition has numerous forms that might not share the same physiological manifestations. The researchers focused on a subset of people with ME/CFS who had developed the condition following an infection (before the COVID pandemic). They homed in on this group by pursuing a rigorous selection process, and they only included participants whom a panel of five clinicians unanimously agreed met the criteria. Only 17 ME/CFS participants remained after the selection process, alongside 21 healthy volunteers. With its carefully selected cohort, Nath’s team employed a slew of tests to study several body systems.

.Credit:  Jorm Sangsorn/Getty Images

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We tend to separate the brain and the muscle—the brain does the thinking; the muscle does the doing. The brain takes in complex information about the world and makes decisions, and the muscle merely executes. This has also shaped how we think about a single cell; some molecules within cells are seen as ‘thinkers’ that take in information about the chemical environment and decide what the cell needs to do for survival; separately, other molecules are seen as the ‘muscle,’ building structures needed for survival.

But a new study shows how the molecules that build structures, i.e., the muscle, can themselves do both the thinking and the doing. The study, by scientists with the University of Chicago, California Institute of Technology, and Maynooth University, was published in Nature and may suggest avenues for new ways to think about computation using the principles of physics.

“We show that a natural molecular process—nucleation—that has been studied as a ‘muscle’ for a long time can do complex calculations that rival a simple neural network,” said UChicago Assoc. Prof. Arvind Murugan, one of the two senior co-authors of the paper. “It’s an ability hidden in plain sight—the ‘doing’ molecules can also do the ‘thinking.’ Evolution can exploit this fact in cells to get more done with fewer parts, with less energy and greater robustness.”

Thinking using physics

To survive, cells need to recognize the environment they are in and respond accordingly. For example, some combinations of molecules might indicate a time of stress that requires hunkering down, while other combinations of molecules might indicate a time of plenty. However, the difference between these molecular signals can be subtle—different environments might involve the same molecules but in different proportions.

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In December 2023, I had surgery to remove my fibroids. Fibroids are benign tumors that grow in the uterine wall. I’d had the growths for nearly a decade and, even though they were benign, they certainly added difficulty to my life.

Heavy periods had plagued me since I was a teenager, but they had gotten worse as I’d gotten older. They often lasted over a week, leaving me tired and anemic. Often my cramps were so bad they made me nauseated. I went through pads and tampons quickly, and often worried that sneezing or coughing, or laughing at the wrong time would lead to an embarrassing leak and a day with a jacket tied around my waist.

Fibroids grow over time and new ones form. Over the years, my doctor found another sizable fibroid, and the one they first found had grown so large that it pressed on my stomach, leading to almost daily heartburn. Four months later, I got approved for a laparoscopic myomectomy, a surgery to have the fibroids removed. I woke up in the hospital groggy from anesthesia and sore from the five incisions the surgeon made, but excited for my new fibroid-free life. I later found out that I had more than two fibroids: they removed 10 in total, and the largest had grown to 15 centimeters — about the size of a mango.

It’s a familiar story, but despite the answers and clarity my myomectomy gave me, it’s also a mysterious one for a lot of people with uteruses. As many as 77 percent of women will have fibroids in their lifetimes, but we don’t know what causes them. This also means that we don’t know what’s behind fibroids’ racial disparities. Black women are more likely to experience symptoms because of their fibroids, and they are two to three times more likely to have them reoccur once they’re removed. We’re also more likely to be diagnosed at a younger age.

Doctors have theories about why that is. Some researchers think genetics are a factor; others think it could be chemicals we come in contact with. And some think it could be a phenomenon known as weathering.

Weathering is a term coined by researcher Arline Geronimus. It was not without controversy when it was first introduced, but more of the medical community points to it as a factor for a number of health disparities for Black Americans.

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A man grunts and sighs in the crowded aisle next to you. His backpack swats your shoulder. “If an overhead bin is shut, that means it is full,” a flight attendant announces over the intercom. A passenger in yoga pants backtracks through the throng with a carry-on the size of a steamer trunk—“Sorry, sorry,” she mutters; the bag will need to be checked to her final destination. Travelers squish aside to make way for her, pressing against one another inappropriately in the process. Nobody is happy.

Among the many things to hate about air travel, the processing of cabin luggage is ascendant. Planes are packed, and everyone seems to have more and bigger stuff than the aircraft can accommodate. The rabble holding cheap tickets who board last are most affected, but even jet-setters with elite status seem to worry about bag space; they hover in front of gates hoping to board as soon as possible—“gate lice,” they’re sometimes called. Travelers are rightly infuriated by the situation: a crisis of carry-ons that someone must be responsible for, and for which someone must pay.

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