Science experienced many first-of-a-kind feats this year. These are the groundbreaking achievements that grabbed our attention.
Cosmic web shake-up
Glowing threads of gas, galaxies and dark matter provided the first tangible evidence that shock waves permeate the cosmic web, the large-scale structure of the universe (SN: 3/25/23, p. 14). Simulations had predicted that colliding threads generate shock waves, which catapult charged particles into the web’s magnetic fields and create a faint glow. That aura appeared in data from radio telescopes, confirming the shock waves exist. The glow also provides the first (if indirect) peek at the cosmic web’s magnetic fields.
Hats off
After more than 50 years of searching, mathematicians finally found an einstein tile (ein Stein is German for “one stone”). The shape, dubbed “the hat,” fits with its mirror image to create an infinite pattern that never repeats (SN: 4/22/23, p. 7). Soon after, researchers discovered a “vampire” einstein, a shape that doesn’t require its mirror image to create an infinite nonrepeating pattern (SN: 7/1/23, p. 9). Einstein tiles and their unique balance between order and disorder could spur new discoveries in materials science.
Fleeting debut
The first appearance of oxygen-28, a superheavy form of the element that physicists created in a particle accelerator, was much briefer than researchers had expected (SN: 10/7/23 & 10/21/23, p. 4). The isotope decayed almost immediately after forming, despite its atomic nucleus having full outer shells of protons and neutrons — a property that is typically linked with extra stability. Oxygen-28’s instability hints that something may be wrong with our understanding of the strong nuclear force, which binds protons and neutrons.
RNA retrieval
Scientists isolated and decoded RNA from an extinct creature for the first time. The fragile molecules, which help ensure that cells follow their DNA instruction manuals, were extracted from a preserved Tasmanian tiger held in a museum (SN: 11/4/23, p. 10). Researchers hope that the feat will aid efforts to bring back the wolflike marsupial, which is named after its homeland and died out in 1936.
Surviving a deep freeze
Adult corals can be safely flash-frozen and revived, researchers demonstrated, raising hopes that cryopreservation could be useful in coral conservation (SN: 9/23/23, p. 11). The key to preventing ice crystals from forming and damaging tissues is to bathe corals in a rigid metal container filled with a dehydrating solution before plunging them in liquid nitrogen. Whatever water remains in the tissues solidifies so quickly that it cannot crystallize and expand.
Neutrino cartography
A new map of the Milky Way is the first made without using light. Instead, cosmic cartographers used data from a detector in Antarctica and AI to chart nearly massless particles called neutrinos onto the galaxy’s plane. The resulting image (third image below; optical and gamma-ray versions shown for comparison) offered a rough idea of where the first known high-energy neutrinos to originate in the Milky Way were born (SN: 8/12/23, p. 13). With some refinement, the approach could pinpoint their birthplace and those of other amped-up ghostly particles.
Every letter counts
This year marked the completion of the pangenome, an effort to catalog every single letter, or building block, in humankind’s genetic instruction manual (SN: 6/3/23, p. 6). The undertaking involved compiling and comparing nearly all the DNA of 47 people to get the most comprehensive snapshot yet of human genetic diversity. A few months later, researchers added the final piece: the Y chromosome (SN: 10/7/23 & 10/21/23, p. 7). The pangenome could shed light on the molecular foundations of fertility, heart disease, Alzheimer’s disease and more.
Star eats planet
Astronomers have long suspected that stars swallow up planets, but no one had ever caught a star in the act until this year (SN: 6/3/23, p. 8). About 10,000 light-years from Earth, the sunlike star engulfed an orbiting planet that was about 10 times as massive as Jupiter. Over several days, the star grew noticeably brighter and burped a bunch of gas, suggesting it engulfed a companion star. But the relatively small amount of energy released tipped off researchers that the star had actually eaten a planet.
In news that probably won’t surprise cat owners, cats that play fetch do it on their own terms.
Fetching felines tend to dictate when a fetching session begins and when it ends, a survey of over 900 cat owners suggests. The vast majority of the participants’ cats seemed to pick up the behavior on their own, with no explicit training from their humans, animal behavior scientist Jemma Forman and colleagues report December 14 in Scientific Reports.
“Ultimately, I think the cats are in control,” says Forman, of the University of Sussex in Brighton, England.The study adds a new facet to scientists’ understanding of cat behavior, which has been less studied than that of dogs.
Previous studies have reported that cats can fetch, but there’s not much research on why or how the animals do it, or whether the behavior requires training. The inspiration for the new study came in the form of a sleek Sphynx named Bear. “He surprised me one day by bringing a toy to me,” says Elizabeth Renner, a psychologist at Northumbria University in Newcastle-upon-Tyne, England.
So she teamed up with Forman and University of Sussex psychologist David Leavens to create an online survey to learn more about fetching cats. The team recruited survey respondents via social media and targeted people who have (or had) cats that played fetch.
The researchers were interested in the animals’ agency: Whose idea was it to play fetch in the first place? More often than not, the answer was the cat, the team found. Of the 1,154 cats tallied in the survey, owners reported that more than 94 percent hadn’t been trained to fetch. The survey also revealed other kitty tidbits, like favorite things to fetch (toys, crumpled paper and hair ties, among other items) and the purebred that fetched most frequently (Siamese).
It’s possible that owners were training their cats without realizing it, says Dennis Turner, a cat behavior expert who founded the Institute of Applied Ethology and Animal Psychology near Zurich and was not involved with the work. Even just tossing a toy left at your feet rewards your cat with time and attention. That reinforces the fetching behavior, he says. “Cats learn very quickly — if they want to.”
Cats may also be training their humans, he says. One cat owner in the study figured out that her pet would fetch only pom-poms of a certain size. “I bought a larger pom-pom, and she rejected it,” the owner said. In human-cat relationships, Turner says, “there’s a lot of learning going on back and forth.”
The findings offer plenty for researchers to sink their claws into. One question is what percentage of cats play fetch, Renner says. Another is whether fetching is a type of social interaction between humans and cats. The researchers are now recruiting cat owners for a new study that may help answer that question.
Not every cat will fetch like Fido, so Forman emphasizes that it’s important for owners to pay attention to their animals’ needs. “Cats are individuals, and they have very distinct personalities.” Cats may want to eat, play or do something else entirely — like walk on your keyboard. Or sleep on your face.
This year, celebrity gossip, a national shortage and eyebrow-raising clinical trials made household names of weight-loss and diabetes drugs like Ozempic, Wegovy and Mounjaro.
The buzzy drugs belong to a class of powerful medications that can manage blood sugar levels and drastically reduce body weight — a hot property that kicked them into the mainstream. This spring, even WeightWatchers got on board, acquiring a virtual clinic that offers prescriptions for the popular drugs.
The medications’ ever-expanding reach might explain why many people in the United States are having trouble filling prescriptions. From 2020 to 2022, the number of prescriptions for these drugs quadrupled — up to roughly 9 million in the final months of 2022, according to one analysis. In 2023, the U.S. Food and Drug Administration included both Ozempic and Wegovy on its drug shortages list.
And demand may continue to rocket up. Data from clinical trials and other studies suggest these drugs can improve cardiovascular health and perhaps even help treat addiction (SN: 8/30/23).
The FDA approved Ozempic for type 2 diabetes in 2017, and now new, potentially more potent and easier-to-produce versions are in the pipeline, says Susan Yanovski, a physician and nutrition specialist at the National Institute of Diabetes and Digestive and Kidney Diseases in Bethesda, Md. “I’ve been doing this for more than 30 years now, and I have not seen this degree of excitement.”
It’s the first time doctors have had obesity drugs that work so well, she says, approaching weight-loss levels previously seen only with bariatric surgery. But, Yanovski cautions, “it’s still early days.”
Amid the hubbub, a fresh influx of clinical trial data has opened a Pandora’s box of questions. How exactly do the drugs work? Who should take them? For how long? What’s the full range of side effects? “We’ve got a lot of research to do,” Yanovski says.
Semaglutide belongs to a powerful class of drugs
Ozempic is the brand name for the drug semaglutide; Wegovy, also semaglutide, has a higher maximum dose and is approved for weight loss. Semaglutide mimics a gut hormone, GLP-1, that’s secreted after people eat. When given a high dose weekly, people without diabetes can lose about 15 percent of their body weight, on average, after nearly 16 months. Scientists think the drug acts on the body and the brain, making people feel full and muffling food cravings.
Yet semaglutide may have an even more dramatic action — saving lives, scientists suggested November 11 in Philadelphia at the American Heart Association meeting. Weekly injections of the drug lowered the risk of heart attacks, strokes and death due to cardiovascular disease in some adults, Cleveland Clinic cardiologist A. Michael Lincoff reported (SN: 11/15/23). The trial targeted people who are overweight or obese who have high cardiovascular risk but not diabetes.
That’s important because it wasn’t clear until now that these patients would see heart benefits, says Tiffany Powell-Wiley, a cardiologist and epidemiologist at the National Heart, Lung and Blood Institute in Bethesda. The find “really opens up the number of patients that we can treat with semaglutide,” she says. Powell-Wiley notes, though, that no single drug — even a powerful one — can fix the many factors that lead to the development of obesity.
Still, pharmaceutical companies are racing to investigate new, improved relatives of semaglutide. Some of these drugs mimic multiple gut hormones rather than just one. One such molecule, tirzepatide (brand name Mounjaro), mimics both GLP-1 and the gut hormone GIP. The FDA approved tirzepatide for treating type 2 diabetes last year and for treating obesity in November, under the brand name Zepbound. The drug seems to cause even more weight loss than semaglutide, Yanovski says.
In demand
Over the last few years, prescriptions for diabetes and weight-loss drugs have skyrocketed in the United States. Semaglutide and a drug called liraglutide (approved in 2014) both mimic the gut hormone GLP-1. Semaglutide (sold as Ozempic) was approved to treat type 2 diabetes in December 2017 and for obesity (sold as Wegovy) in June 2021. Tirzepatide, which mimics GLP-1 plus the gut hormone GIP, was approved to treat type 2 diabetes (under the name Mounjaro) in May 2022.
GLP-1 prescription volume in the United States by drug, 2017–2022
SOURCE: TRILLIANT HEALTH 2023
Another drug in development could one-up even tirzepatide. Retatrutide simulates three gut hormones: GLP-1, GIP and glucagon. People treated with a high dose lost an average of 24 percent of their body weight after nearly a year of treatment, a small clinical trial reported this year.
The full roster of these drugs, what they do and where they stand in the approval process makes for a dizzying array of information. But an assortment of options may pay off, Yanovski says. “We really need a variety of drugs … so that we can match the right treatment to the right patient.”
For some people, the benefits of weight-loss drugs outweigh the risks
But like any medication, Yanovski cautions, these drugs come with side effects. Semaglutide can cause nausea, diarrhea, vomiting, stomachache and constipation, among other ailments. Large amounts of rapid weight loss can also spur gallbladder disease, a complication sometimes seen after bariatric surgery. And these medications aren’t melting away only fat. When people rapidly lose lots of weight, they can also lose muscle mass, a particular concern for older patients, Yanovski says.
As these drugs roll out into larger populations of people, rare side effects not seen in clinical trials will also emerge. One recent study found that people using semaglutide or a related drug for weight loss had an increased risk of serious gastrointestinal conditions, including inflammation of the pancreas and bowel blockages, compared with people using a different type of weight-loss drug.
And patients will probably need to take these medications long term or risk gaining the weight back. “This is not a flaw in the medications; this is how medications work,” Yanovski says. If you stop taking cholesterol-lowering meds, for instance, your cholesterol may shoot up.
But the drugs’ high cost (Wegovy’s list price is about $1,350 per month and insurance coverage varies) puts even short-term use out of reach for many people. The cost can exacerbate health disparities and drive people to hunt for altered versions on the internet. Though these drugs may be cheaper, Yanovski says, they’re not FDA-approved and could be counterfeit.
She hopes to see people with obesity, particularly those with medical complications, gain better access to the approved drugs and in settings where they can be monitored by their doctors to ensure that the benefits outweigh the risks.
Those without a true need for the drugs probably should avoid them, Yanovski says. They’re “serious medications for a serious disease,” she says. “I think the buzz that these are some kind of miracle cure for obesity, or that you should take these medications just because you want to lose that stubborn 10 pounds, is overhyped.”
In a study of more than 9,000 pregnant people from across the U.S., researchers at University of Utah Health found that cannabis exposure during pregnancy is associated with a composite measure of unhealthy pregnancy outcomes, especially low birth weight, and that higher exposure is associated with higher risks.
PHILADELPHIA — Ten patients enrolled in the experimental drug trial, and they were the sickest of the sick.
All had a genetic disorder that cranks up levels of LDL cholesterol in the blood. Known as “bad cholesterol,” LDL cholesterol is infamous for clogging arteries. The patients’ disorder, called heterozygous familial hypercholesterolemia, can lead to severe heart disease at an early age — and death.
Their arteries had been bathing in high LDL cholesterol since birth. In several patients, even typical cholesterol-lowering drugs couldn’t get the levels “even remotely under control,” says Andrew Bellinger, a cardiologist and chief scientific officer at Verve Therapeutics, a Boston-based biotechnology company.
Now, his team has tried a new approach: a genetic medicine called VERVE-101 designed to turn off a cholesterol-raising gene. Using a kind of molecular pencil, the medicine erases one DNA letter and writes in another, inactivating the gene. A single genetic change. A single medication. A potential treatment that lasts a lifetime.
That’s the hope, anyway. Bellinger presented the results of a small clinical trial called heart-1 at the American Heart Association meeting in November. VERVE-101 successfully lowered LDL cholesterol, Bellinger reported. It’s the first time anyone has shown that a DNA spelling change made inside a person’s body could have such an effect. “We can achieve clinically meaningful LDL reductions with a single dose,” he said.
People with familial hypercholesterolemia have lifelong symptoms, so “this whole concept of ‘one and done’ is really amazing,” says Pam Taub, a cardiologist at the University of California, San Diego who was not involved with the trial. These patients must take medications their entire lives. An infused drug like VERVE-101 — designed to alter a person’s DNA — could change treatment strategy.
Taub points out questions about VERVE-101’s safety. One trial patient had a heart attack. Another died due to cardiac arrest. But that death was not related to treatment, Bellinger said.
Moving forward, establishing VERVE-101’s safety is crucial, agreed Karol Watson, a cardiologist at the David Geffen School of Medicine at UCLA who wasn’t involved with the new work. Editing people’s DNA to lower their cholesterol “is a strategy that could be revolutionary, but we have to make sure it’s safe,” she said at the meeting. “You are changing the genome forever.”
Here’s what we know about four key aspects of the new medicine and its history.
VERVE-101 relies on a DNA-modifying protein called a base editor
The composition of VERVE-101 is simple. It’s just two types of RNA molecules — molecular cousins of DNA — bundled inside a bubble of fat.
Infused into the bloodstream, the drug travels to the liver and slips into cells. One of the RNA molecules tells cells to build a protein called an adenine base editor. The other acts as a genetic GPS, guiding the editor protein to the correct stretch of DNA.
The technology is CRISPR 2.0. First generation CRISPR/Cas9 tools act like molecular scissors and can disrupt genes by snipping through DNA’s strands (SN: 8/14/19). Base editors are more like molecular pencils. They edit DNA by performing chemistry on an individual DNA letter, or base, rewriting one for another, creating a new genetic sequence (SN: 10/25/17).
“Base editors actually change a sequence that you choose into a different sequence of your choosing,” says Howard Hughes Medical Institute investigator David Liu, a chemist at Harvard University whose team invented the technology in 2016. In the case of VERVE-101, that sequence is inside the PCSK9 gene, which encodes instructions for manufacturing a protein that raises blood cholesterol levels. Just one edit in a precise location shuts PCSK9 down.
Editing wraps up less than a week after the infusion, and the drug breaks down rapidly, Bellinger said. Both the fat bubble, called a lipid nanoparticle, and its RNA cargo degrade, and within a few weeks, VERVE-101 vanishes from the body. “The only thing that’s left is the DNA change you made to the PCSK9 gene,” he said.
PCSK9 is a tempting target for gene-editing therapy
PCSK9 has been a hot therapeutic target for the last decade or so, says Parag Joshi, a preventive cardiologist at UT Southwestern Medical Center in Dallas who was not part of the trial.
Researchers knew that some people have PCSK9 mutations that switch the gene off. These people tended to have lower levels of LDL cholesterol — and drastically less heart disease, geneticist Helen Hobbs, an HHMI investigator at UT Southwestern Medical Center, and colleagues reported in 2006.
That landmark study pushed the field forward, Joshi says. Suddenly, scientists had proof that people could live healthy lives when PCSK9 was inactivated. That made it “a very attractive drug target,” Joshi says. It suggested that disabling PCSK9 would do no harm — and could even help, by lowering the risk of heart disease.
Typically, the PCSK9 protein breaks down another protein called the LDL receptor. This receptor is one of the good guys; it keeps bad cholesterol in check by snatching it from the blood and transporting it into liver cells for disposal. Without enough LDL receptors, LDL cholesterol levels in the blood ratchet up.
Sekar Kathiresan, a cardiologist and Verve’s CEO and cofounder puts it succinctly: PCSK9 causes disease. “If you turn it off, all you get is health.”
Today, a few existing therapies target PCSK9, including injected antibodies or an RNA-based drug that shuts down production of the protein. Patients should take a daily statin pill to lower LDL cholesterol, Joshi says. But it’s often not enough.
And though the therapies are theoretically effective for people with familial hypercholesterolemia, Kathiresan says, “very few patients are actually on these medications.”
His team thinks that’s because the current approach is just too heavy a burden — asking patients to take daily pills or intermittent injections for decades. “That model doesn’t seem to be working,” Kathiresan says. “And that’s what we’re trying to fix.”
Early VERVE-101 clinical trial results reveal potential benefits — and risks
Kathiresan’s team gave a single IV infusion of VERVE-101 to 10 people with heterozygous familial hypercholesterolemia, most of whom had severe heart disease. In those who received the highest drug doses tested, blood levels of LDL cholesterol dropped sharply, by 39 to 55 percent. And the drop appears long-lasting, Bellinger said. For the patient at the highest dose, LDL cholesterol levels held steady for 180 days after VERVE-101 infused into the bloodstream.
Steep reductions
In a clinical trial with 10 participants, people who received the highest doses of VERVE-101 tested (green and purple dots) saw steep reductions in the amount of LDL cholesterol in the blood.
Bellinger called the results “pretty much what we expected and planned,” given the team’s earlier results in nonhuman primates. But the new patient data, though preliminary, places the drug on the precipice of something bigger. “This opens the door for an entirely new way to treat heart disease,” Kathiresan says.
VERVE-101’s utility will ultimately depend on its safety. During the trial, the team spotted some potential red flags. Four patients had minor reactions to the IV infusion, including headache and mild fever. But at the heart meeting, attention hummed over something more severe. A day after the infusion, one patient had a heart attack. Five weeks after the infusion, a different patient died when their heart suddenly stopped beating.
That incident was probably caused by the patients’ underlying heart disease, Kathiresan says. That’s the conclusion reached by an independent data safety monitoring board that investigated the cases, he says.
The heart attack, however, may have been related to the treatment, because it happened so soon after dosing, the monitoring board determined. Kathiresan notes, though, that the patient had been experiencing chest pains prior to the study, something they didn’t mention to the study’s investigators.
These are “very, very sick patients,” says UCSD cardiologist Taub. For future trials with the drug, she thinks such patients should be excluded.
Kathiresan’s team is now planning to enroll patients with less-advanced disease. They’re also going to check for blockages in patients’ arteries, to try and avoid including people at extremely high risk of heart attack.
In 2024, the company plans to enroll more patients at the two highest doses to determine which dose to move forward. The researchers are also testing a second version of the drug, VERVE-102, which uses a different lipid nanoparticle. Depending on those results, Verve plans to move one of the drugs on to a larger clinical trial in 2025. And if successful in people with familial hypercholesterolemia, the company intends to expand to an even broader group of patients, including those without the genetic disorder.
Developing new medicines is a long road, Kathiresan says. It can take more than a decade for a drug to go from a concept to a medication that doctors can prescribe, he says. Verve started its PCSK9-editing project in 2018. Kathiresan says he hopes to have an approved medication by the end of the decade.
VERVE-101 is one of several base editing drugs currently in clinical trials
One potential side effect of gene-editing therapies is unintentional tweaks to DNA. VERVE-101 targets PCSK9, but what if it strays to a different spot in the genome, asks Anne Goldberg, an endocrinologist at Washington University School of Medicine in St. Louis. The technology “looks really interesting,” she says, “but we need more data.”
A DNA change at the wrong spot could put people at risk of developing cancer. With VERVE-101, Bellinger said, “we think that risk is very low.” Most of the company’s work, he said, goes into demonstrating that “we do not make edits elsewhere in the genome.”
Today’s base editors — including the one in VERVE-101 — are much improved since the early days of the technology, says Harvard’s Liu, who was not involved with the trial. They “have very high on-target editing efficiency while also having minimal off-target editing.”
Currently, five other base-editing clinical trials targeting other diseases, like sickle-cell disease and leukemia, are ongoing. Liu is hopeful that the gene-editing agents will give patients “a completely new lease on life.”
Bellinger said his team thinks of VERVE-101 as a one-time procedure for health, like “molecular surgery without a scalpel.” In theory, it’s possible to reverse the edit made by VERVE-101, but it’s not what he and his colleagues envision.
For cardiologist Donald Lloyd-Jones, who was not involved with the trial, the dream is to offer people with familial hypercholesterolemia a treatment that doesn’t rely on taking a statin pill every single day. A therapy like VERVE-101 “might be something they really consider as an option,” said Lloyd-Jones, of Northwestern University Feinberg School of Medicine in Chicago.
“If we get those safety data, if we get those efficacy data,” he said at the meeting, “I think this would be a very interesting approach to a lifetime fix.”
This year’s United Nations’ annual climate summit, dubbed COP28, is making a lot of headlines — not something I would have found myself writing a few years ago.
One reason for COP’s higher profile is a growing sense of urgency to take stronger action to reduce humans’ fossil fuel emissions and mitigate the looming climate crisis. The world is nowhere near on track to meet the goals of the 2015 Paris Agreement — that is, reducing greenhouse gas emissions sufficiently to limit global warming to “well below” 2 degrees Celsius of preindustrial averages by the year 2100 (SN: 12/12/15). Meanwhile, 2023 has been the hottest year on record, people have been suffering through a barrage of extreme weather events, including heat waves, droughts and floods, and 2024 is likely to break more temperature records (SN: 12/6/23; SN: 7/19/23).
The headlines emerging from COP28 have been a mix of pleasing, frustrating and bewildering. For example: It’s good news that 198 nations have ratified the Loss and Damage Fund, a formal acknowledgment by wealthy, high-polluting nations that they should help mitigate the rising costs of climate change faced by developing nations. But it’s frustrating that the pledges by the wealthy nations so far amount to just about $725 million, less than 0.2 percent of the annual climate change–linked losses faced by developing nations.
For me, one of the biggest questions related to those headlines pertains to methane. It feels unclear whether, on balance, there’s more good or bad news when it comes to emissions of that second most important human-caused greenhouse gas.
Methane is a powerhouse climate-warming gas, with about 80 times the atmosphere-warming potential of carbon dioxide. However, methane has a saving grace: It mercifully lingers for only about a decade in the atmosphere (SN: 4/22/20). Carbon dioxide can stick around for up to 1,000 years. Cutting methane emissions can mean its atmospheric concentration drops relatively rapidly.
The Global Methane Pledge, launched two years ago at COP26, may be gaining some momentum, but it still lacks the sign-on of key big-emitting nations. Then there’s the December 1 announcement by 49 oil and gas companies that they would reduce methane leaks from their infrastructure to “near zero” by 2030, which seems like a good thing on the face of it but has also been called greenwashing (SN: 11/24/21).
And all of this policy wrangling is happening against a bizarre backdrop: a startling, puzzling, worrisome sharp increase in methane emissions over the last decade — not from humans, but from natural sources, particularly wetlands.
To help me sift through the headlines and better understand all the news that’s seeping out, I talked with Euan Nisbet, a geochemist at Royal Holloway, University of London in Egham.
Methane “is rising very fast,” Nisbet says. “So fast it looks like the Paris Agreement is going to fail.”
That’s where the Global Methane Pledge comes in, promising a 30 percent cut in humans’ emissions by 2030. The pledge was spearheaded in 2021 by the United States and the European Union, and so far, 150 nations have signed on. Most recently, Turkmenistan, which has sizable methane emissions, joined. So there’s hope: If everyone were to follow suit, it really is possible to cut global methane emissions deeply, bringing us much closer to meeting the Paris Agreement’s goals, Nisbet argues in a Dec. 8 editorial in Science.
Still, many of the world’s biggest methane emitters, including China, India, Russia, Iran and South Africa, have not signed on to the pledge. China’s methane comes in large part from its coal combustion; India’s, from coal as well as waste heaps and biomass fires. And China alone currently releases an estimated 65 million metric tons of methane per year, more than double that of the United States or India, the next two biggest emitters.
With only seven years left before the 2030 deadline, meeting the global pledge’s methane reduction goals would be steep — but, Nisbet says, not impossible.
Why is methane rising?
Since about 2007, the amount of methane emitted into Earth’s atmosphere has increased dramatically. About 60 percent of the methane currently emitted comes from human sources, but emissions from wetlands, likely as feedback to climate change, are helping to drive this rise.
Methane emissions have risen sharply in recent years
There’s precedent for successfully making such steep cuts to methane in such a short time, he adds. During the 2000s, “there was a seven-year period where [the U.K. government] brought methane emissions down by 30 percent,” in large part by reducing emissions from landfills and gas leaks.
China has just released its own Methane Emissions Control Action Plan in November, alongside a joint commitment between China and the United States to take action on methane. That news sounds potentially promising, if not wholly reassuring, as the plan does not include a lot of concrete numbers, Nisbet says.
So, what about the oil and gas industry’s recent promise to address its leaky infrastructure? Such a promise also sounds positive on the face of it — leaky infrastructure is definitely the low-hanging fruit when it comes to reducing humans’ methane emissions to the atmosphere (SN: 2/3/22).
On the other hand, hundreds of scientific and environmental organizations have signed an open letter in response. The letter suggests that the oil and gas industry’ promise is just greenwashing, “a smokescreen to hide the reality that we need to phase out oil, gas and coal,” the letter states. Furthermore, many oil and gas companies may routinely abandon old, still-leaking wells — effectively eliminating those leaks from their company’s emissions roster without actually stopping them.
That said, addressing the leaks does have to be done, Nisbet says. “I’d love to shut down the coal industry quickly, but I’m aware of the enormous social problems that brings. It’s a very difficult thing to nuance. You can’t go cold turkey. We’ve got to wind it down in an intelligent and collaborative way. The best thing to do is to stop the crazy leaks and venting.”
Natural methane emission has been surging
Plugging the leaks as soon as possible has taken on an increasing urgency, Nisbet says, because of a stark rise in natural methane being emitted to the atmosphere. Why this rise is happening isn’t clear, but it seems to be some sort of climate change–related feedback, perhaps linked to changes in both temperature and precipitation.
That natural methane emissions bump was also not something that the architects of the Paris Agreement saw coming. Most of that rise has happened since the agreement was signed. From 1999 to 2006, atmospheric methane had spent several years in near-equilibrium — elevated due to human activities, but relatively stable. Then, in 2007, atmospheric methane concentrations began to increase. In 2013, there was a particularly sharp rise, and then again in 2020.
Much of that increase seems to have come from tropical wetlands. Over the past decade, researchers have tracked shifts in methane sources by measuring carbon-12 and carbon-13 in the gas. The ratio of those two forms of carbon in the methane varies significantly depending on the source of the gas. Fossil fuel-derived methane tends to have higher concentrations of carbon-13 relative to carbon-12; methane from wetlands or agriculture tends to be more enriched in carbon-12.
The recent spikes in natural methane are eerily reminiscent of ice core records of “glacial termination” events, times in Earth’s deep past when the world abruptly shifted from a glacial period to a period of rapid warming, Nisbet and others reported in June in Global Biogeochemical Cycles. Such glacial termination events are large-scale reorganizations of the ocean-atmosphere system, involving dramatic changes to the circulation of the global ocean, as well as to large climate patterns like the Indian Ocean Dipole (SN: 1/9/20).
“Is this comparable to the start of a termination event? It looks horribly like that,” Nisbet says. But “it may not be. It might be totally innocent.”
Right now, scientists are racing to understand what’s happening with the natural methane bump, and how exactly the increased emissions might be linked to climate change. But as we search for those answers, there is something that humans can and must do in the meantime, he says: Cut human emissions of the gas as much as possible, as fast as possible. “It’s very simple. When you’re in a hole, stop digging.”
Ask ChatGPT “Why is the sky blue?” and seconds later, it will tell you: “The blue color of the sky is primarily due to a phenomenon called Rayleigh scattering,” which the chatbot goes on to explain in a textbook-like, six-paragraph response. Follow up with, “Explain like I am 5 and make it short, please,” and back will come: “The sky is blue because tiny things in the air make the blue light from the sun bounce around and come to our eyes.”
ChatGPT is a type of generative AI. It’s a computer model that taps into language patterns to predict the next words in a sentence, answering a user’s prompt with a humanlike response. The model is structured with many layers of interconnected nodes, vaguely inspired by neural connections in the brain. During a training period, the interconnected nodes ran through billions of pieces of writing scraped from the internet, learning patterns by changing the strength of different node connections. Other types of generative AI have been trained to make images, videos and more.
Released late last year, ChatGPT quickly captivated public imagination, raising the visibility of generative AI. More chatbots, such as Google’s Bard, followed. But amid the buzz, critics have warned of generative AI’s inaccuracies, biases and plagiarism (SN: 4/12/23). And then in mid-November, Sam Altman, the CEO of OpenAI, the company that developed ChatGPT and other generative AI models such as DALL-E 3, was fired, and then rehired days later. In response, most of the company’s board resigned. The upheaval sparked widespread discussion about rushing to commercialize generative AI without taking precautions to build in safety measures to ensure the technology doesn’t cause harm.
To understand how generative AI came to dominate headlines and what’s next, Science News spoke with Melanie Mitchell of the Santa Fe Institute, one of the world’s leading AI experts. This interview has been edited for length and clarity.
SN: Why was generative AI big this year?
Mitchell: We have had language models for many years. But the breakthrough with systems like ChatGPT is that they had much more training to be a dialog partner and assistant. They were trained on much more data. And they had many more connections, on the order of billions to trillions. They also were presented to the public with a very easy-to-use interface. Those things really were what made them take off, and people were just amazed at how humanlike they seemed.
SN: Where do you think generative AI will have the greatest impact?
Mitchell: That’s still a big open question. I can put in a prompt to ChatGPT, say please write an abstract for my paper that has these points in it, and it will spit out an abstract that’s often pretty good. As an assistant, it is incredibly helpful. For generative im- ages, systems can produce stock images. You can just say I need an image of a robot walking a dog, and it will generate that. But these systems are not perfect. They make mistakes. They sometimes “hallucinate.” If I ask ChatGPT to write an essay on some topic and also to include some citations, sometimes it will make up citations that don’t exist. And it may also generate text that is just not true.
SN: Are there other concerns?
Mitchell: They require a lot of energy. They run in giant data centers with huge numbers of computers that need a lot of electricity, that use a lot of water for cooling. So there is an environmental impact.These systems have been trained on human language, and human society has a lot of biases that get reflected in the language these systems have absorbed — racial, gender and other demographic biases.
There was an article recently that described how people were trying to get a text-image system to generate a picture of a Black doctor treating white children. And it was very hard to get it to generate that.
There are a lot of claims about these systems having certain capabilities in reasoning, like being able to solve math problems or pass standardized tests like the bar exam. We don’t really have a sense of how they are doing this reasoning, whether that reasoning is robust. If you change the problem a little bit, will they still be able to solve it? It’s unclear whether these systems can generalize beyond what they have been trained on or whether they are just relying very much on the training data. That’s a big debate.
SN: What do you think about the hype?
Mitchell: People have to be aware that AI is a field that tends to get hyped, ever since its beginning in the 1950s, and to be somewhat skeptical of claims. We have seen again and again those claims are very much overblown. These are not humans. Even though they seem humanlike, they are different in many ways. People should see them as a tool to augment our human intelligence, not replace it — and make sure there’s a human in the loop rather than giving them too much autonomy.
SN: What implications might the recent upheaval at OpenAI have for the generative AI landscape?
Mitchell: [The upheaval] shows something that we already knew. There is a kind of polarization in the AI community, both in terms of research and in terms of commercial AI, about how we should think about AI safety — how fast these AI systems should be released to the public and what guardrails are necessary. I think it makes it very clear that we should not be relying on big companies in which power is concentrated right now to make these huge decisions about how AI systems should be safeguarded. We really do need independent people, for instance, government regulation or independent ethics boards, to have more power.
SN: What do you hope happens next?
Mitchell: We are in a bit of a state of uncertainty of what these systems are and what they can do, and how they will evolve. I hope that we figure out some reasonable regulation that mitigates possible harms but doesn’t clamp down too hard on what could be a very beneficial technology.
A survey of small, cool stars is helping to narrow in on the conditions that might set the stage for life beyond our solar system.
A look at about 200 ultracool dwarf stars shows that they lack sufficient ultraviolet light intensity to have the potential to jump-start life, researchers report December 1 in the Monthly Notices of the Royal Astronomical Society. That may initially seem to be bad news for finding signs of alien life on distant planets. But the diminutive stars could instead serve as test beds to determine what other conditions can create the chemical foundations of life.
Compared with our sun, the dwarf stars in the new study are minuscule, roughly the size of Jupiter and weighing about a tenth as much as the sun. They’re also among the most common types of stars. And because they’re cool and comparatively dim, it’s often easier to spot planets orbiting them than it is in the glare of large bright stars. Astronomers studying the tiny red star TRAPPIST-1, for example, found that it hosts seven Earth-sized planets, including three that may be within the star’s habitable zone, where conditions are amenable to life (SN: 2/22/17).
For life to exist on a habitable planet, though, it must start somehow. One possibility is that UV starlight provides the energy needed to link together the hydrogen, oxygen, carbon, nitrogen, sulfur and other atoms that make up the compounds that are precursors to life.
With that in mind, space scientist Antígona Segura and colleagues used the Transiting Exoplanet Survey Satellite to measure the amount of UV radiation — among other things — emitted from 208 comparatively nearby ultracool dwarfs within 130 light-years from Earth (SN: 4/12/18). The stars they studied do emit UV light, as our sun does, and many produce bursts of UV when they let off flares. But overall, the UV energy the small stars release is too low to forge the chemicals needed to kick-start life, the team found.
The dearth of UV light doesn’t necessarily quash hopes of finding life around such stars. “UV is an energy source for prebiotic chemistry that we can measure, and that is why we focused on it,” says Segura, of the National Autonomous University of Mexico in Mexico City. “But there are many other energy sources, like cosmic and stellar particles, and particles, radiation and heat produced by radioactive decay, to name a few.”
Ultracool stars might be useful to discover whether something other than UV light can get life going. “We should search for life on the planets that have the least [UV] activity, where we can know with confidence that UV-driven prebiotic chemistry cannot happen,” says Paul Rimmer, a University of Cambridge astrophysicist who was not involved in the study. “If we find evidence of life on these [types of] planets, this will show that there are other paths to life.”
Also, Segura notes, sources of energy that could start life can also make planets less habitable for more complex life-forms. “We cannot currently say which [effects] would prevail. The best approach now is to study case by case and wait for more observational constraints, like for the case of the TRAPPIST-1 system.”
If astronomers eventually find life on planets orbiting ultracool dwarfs, it will confirm the potential for UV-free origins of life. But, Rimmer says, if it turns out that there are no signs of habitability on planets around the many small, dim dwarf stars we see, that would lower estimates of the likelihood of finding life outside our solar system. Either way, future surveys of ultracool dwarf stars could give researchers a better handle on the possible prevalence of extraterrestrial life in the universe.
With the click of a mouse, a new mapping tool shows how places in the American West have changed over the last 70 years.
With just a Web browser, anyone can open Landscape Explorer, which will pull up a modern Google map of the United States beside a black-and-white aerial image of the western states circa 1950. A slider button allows for scrolling back and forth between past and present.
You can type a place or address into the search bar, then zoom in or out. Search for “Lake Powell” and watch the Colorado River’s red rock canyons of the past turn into a reservoir. Type in “Las Vegas” and see Sin City’s sprawling grid of streets disappear into desert arroyos as you swipe back in time.
The free tool is an easy way for anyone with an interest in the American West to peruse the past. But Landscape Explorer also has a loftier purpose: helping government agencies, landowners and conservation professionals make complex decisions about how to manage land.
The powerful visual contrast between the historical snapshot and modern-day satellite imagery “allows us to go from zero to 100” in terms of understanding ecosystem changes, says Scott Morford, an applied spatial ecologist at the University of Montana in Missoula who led the development of Landscape Explorer. The project was supported by Working Lands for Wildlife, a conservation initiative led by the U.S. Department of Agriculture, and other partners. The impetus, Morford says, was to “give us a reference for how rapidly things are changing across biomes that we care about.”
Before Landscape Explorer, most collections of historical imagery of large-scale landscapes went back to only the 1980s. Finding earlier imagery of large landscapes was expensive and time-consuming. While some previous projects have stitched together historical imagery at small scales to look at how a particular watershed or county has changed, “the real revolution is that we were able to figure out how to do it at scale,” Morford says. “We wanted to make something that was universal and accessible” for everyone, not just remote sensing specialists.
Morford and colleagues processed about 170,000 aerial images that were taken by U.S. Army pilots during the Cold War and later digitized. To create a continuous mosaic, the team used specialized software to stitch together images of adjacent patches of land, the researchers explained in a paper published in July in Remote Sensing in Ecology and Conservation. The final step was pairing the mosaic with satellite imagery using Google Earth Engine.
Landscape Explorer began as a small project to assess the extent of woody encroachment onto grasslands in western Montana. Due to fire suppression, conifers like western juniper or eastern red cedar are taking over ecosystems that were historically treeless, such as sagebrush steppe and prairies. A monoculture of these water-guzzling trees is bad news for local biodiversity and increases the risk of catastrophic wildfire.
Third-generation Montana rancher Bruce Peterson says that seeing historical and current aerial imagery side by side made him realize how the steady infiltration of trees had devalued his family’s livestock pastures. “It’s a little bit like losing your hearing or your vision with these trees. They eat away a little of your land at a time, and then by the time you get hearing aids or glasses, you realize it’s gotten really out of hand,” Peterson says.
Using Landscape Explorer, Peterson and dozens of other landowners involved in the Southwest Montana Sagebrush Partnership have prioritized where to remove invading trees. The group has restored nearly 50,000 acres of treeless rangeland since 2020, according to the Nature Conservancy, a member of the partnership.
Landscape Explorer also helped the Clark Fork Coalition, a Montana-based nonprofit that protects and restores waterways, to see how urban and industrial development has impacted floodplains. “This tool gives us the power of time travel. It’s like a time-lapse showing all that’s been lost and where the continued pressure is very real,” says Karen Knudsen, the coalition’s executive director.
After seeing the successes in Montana, the makers of Landscape Explorer extended the tool to 17 states in the West to show where forests, grasslands or rivers are most at risk of disappearing and where intact habitats can still be preserved.
Since the expanded tool was released in September, researchers have used it to assess glacial retreat in the Pacific Northwest, measure the historical extent of sand dunes in coastal California and pinpoint where wetlands have dried up. Morford is excited to see all the ways Landscape Explorer can help land managers. “It’s going to be used in ways we haven’t even thought of yet.”