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When his hospital asked for volunteers for a study of an emerging Covid-19 therapy, Dr. Planer was among the first to sign up. His blood carries an especially valuable quantity of antibodies, Dr. Donato said.

While there is no evidence that convalescent-plasma treatments can help with Covid-19, the technique has been used to fight other viruses, including Ebola, influenza and severe acute respiratory syndrome, or SARS.

Enthusiasm for the potential treatment grew after a paper published in the Journal of the American Medical Association on March 27 suggested that a small study of five critically ill patients in China had shown promising results.

The National Covid-19 Convalescent Plasma Project is a related effort that began several weeks ago as a clearinghouse for information and a way to match willing plasma donors with hospitals and doctors authorized to perform infusions.

In addition to being healthy and showing no signs of infection after testing positive for the virus, potential donors must satisfy all other requirements for giving blood.

ost scientists say that people who have had Covid-19 gain some immunity to the virus that causes it. What they don’t know is whether that protection lasts a few months, a few years or a lifetime.

The immune system wards off infections by producing antibodies that fight invaders. A range of hereditary and environmental factors, including diet and sleep patterns, typically affect the strength and longevity of those defenses.

Immunity also depends on the pathogen. For example, infection by the virus that causes measles confers lifelong immunity. Others, like the influenza virus, can mutate so rapidly that protective antibodies might not recognize them during a reinfection.

The novel coronavirus mutates more slowly than the influenza virus. That gives researchers hope that any natural immunity, or vaccine, would offer more lasting protection. Even if someone gets sick again, researchers believe a second infection might be milder than the first.

Data are scant, but preliminary research shows antibodies can emerge within days or several weeks of the onset of symptoms. A study involving 34 hospitalized cases in China found that two patients, both in their 80s, produced antibodies within three days of symptom onset. The rest produced them two weeks after symptoms first surfaced.

A group of Chinese researchers reported in March that they had infected four rhesus macaques, allowed them to recover and then tried to reinfect two of them with the same strain of the virus. Neither became sick again.

Then why are some people testing positive again? South Korean health officials are refraining from labeling them as “reinfections.” Korean doctors involved in a continuing government review believe that those patients likely harbored low levels of the virus that diagnostic polymerase chain reaction, or PCR, tests failed to pick up. In later stages of the disease, the virus settles into the lungs where it can elude detection. The virus, they say, hadn’t been fully cleared from the body.

ow do I know I’ve fully recovered? Clinicians have mixed views on what constitutes recovery because long-term data aren’t yet available. Guidelines vary across the globe, and even within countries. In a peer-reviewed study published last month, researchers in Hong Kong detected the virus in the feces of Covid-19 survivors even as their respiratory samples tested negative. Viral fragments can linger in the body after symptoms disappear, but it doesn’t mean that a person is infectious, or that the disease will make a comeback.

Dr Hörst is hopeful that her team's work will be helpful in ruling out erroneous organic signatures, yet she notes that the results do show exoplanets may be capable of creating the building blocks for life.

“It’s really easy to feel alone in America. It’s the loneliest place in the loneliest time,” the co-host Felix Biederman said, speaking of the early days of their work. “But eventually people started to gather around all these posts into the void.”

The topic is inequality, raging against the rich.

Julius Krein, the conservative founder of the new publication American Affairs, has noticed the new allies.“There is a lot of interesting convergence on some of the anti-woke thinking and many things that, perhaps surprisingly, we agree on, for different reasons,”

“It’s fairly easy to have fun, pretty exciting dialogue between right-wing anti-neoliberals and left-wing anti-neoliberals.”

“‘Chapo Trap House,’ the entire Dirtbag Left, have tapped that male privilege of intimidating people into assuming you’re cool,” said Amanda Marcotte, a liberal feminist writer for Salon

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These Sanders supporters eschew the idea of party unity as a scam: “I won’t vote for anyone but Bernie in the general, can’t say what the hundreds of thousands of people who listen to my show will do, but I’m only speaking for myself,” Mr. Menaker wrote on Twitter a day after the Iowa caucuses.

An additional challenge is that as the free-floating anger they stoke finds community, it is escalating and souring into sometimes violent and ugly rhetoric

For the hosts and their fans, those sort of tweets and the podcast language are all jokes. The audience understands the difference, they argue, and anyway the real problem with the Democrats is that they’re overly sensitive. A bunch of self-serious P.M.C.s (members of the professional-managerial class).

Over the summer, the “Chapo Trap House” message board, which has nearly 153,000 members who chat about the news and memes of the day, was censured by Reddit, which hosts it

“The reason for the quarantine is that we have observed repeated rule-breaking behavior in your community, especially in the form of encouragement of violence,”

“We do everything our parents say, and it doesn’t work,” said Brayson Cope, 18, a college student from Altoona and a Sanders volunteer.His reason for listening to “Chapo" is simple, he said.“They’re angry. I like it because they’re angry.”

They want what Mr. Sanders wants: universal health care, canceled student loans, free college, and an overhaul of the tax system. They want to cut the national prison population by half and to install a ban on fracking. And for them anything less than this is nothing at all

according to fans of the podcast and movement, there are a lot of neoliberal shills out there.

For many left-wing groups, the Chapo podcast and its Reddit community are now setting the weekly conversation agenda.

“It’s a touchstone,” said Brendan McGillicuddy, 39, who teaches in the cultural studies department at the University of Minnesota. “At my workplace, everyone listens to it, even if you don’t like it.”

When Hillary Clinton’s name came up, the reaction was nearly indistinguishable from a Trump rally.“Lock her up,” the co-host Matt Christman said to the crowd.The crowd began to chant: Lock her up. Lock her up.

During the three-hour show, there is little vision laid out for what they want, beyond a Sanders presidency. There is a vision for what they want destroyed and how good it will feel to do that. The idea of actually taking power is terrifying, and they say so.“What’s scary is the idea that this could end,” Mr. Biederman said. “What’s scary is we’re not just tossing catharsis into the void, that this is something real. We are there.”

“It’s a common experience to be someone with a crappy job who does not have an outlet for your set of beliefs and you feel insane because you’re surrounded by liberals or Evangelicals or whatever stultifying milieu,” he said. “And one day you find a piece of media with some folks who are articulating what you always believed: You’re not crazy, you’re right, this is exactly how the world works, and you’re getting screwed.”

He said he knew that the anger the podcast was building could be dangerous, but he said the anger — and the fear of violence it brings — was good.

“Educating a generation and saddling them with debt and then not giving them jobs where they have the wage that they presume they should receive based on the amount of time they spent on education,” Virgil said. “That’s a pretty good way to turn them into radicals.”He is a good example of his own target audience: He graduated with $100,000 of debt from Cornell and after college took freelance gigs from Craigslist, hoping to write.

While the Chapo hosts rail against the media establishment, they are also deeply entwined with it and largely beloved by it. (Mr. Menaker, for example, grew up on the Upper West Side, the son of a New York Times editor and a New Yorker editor.)

He does not want to live in a capitalist society at all.“I think it’s a moral stain to live in this society,” he said. “And every day I think, God I’d rather just leave.”But he’s not sure where he would move

Outside the Iowa City show, Adam Angstead, 46, had stepped out of the theater for a cigarette. He works for the Iowa City school district as a substitute teacher five days a week, but he said his employment offers no benefits. On the weekends he works at a diner. Twice a week he sells his blood plasma for extra cash.It’s still not enough. He was trying to pay down his $40,000 in student loans for a while, but it hardly made a dent, and recently he has gotten a deferment. For him, the primary feels like a life-or-death battle.“Being in a room with a bunch of people who think the same thing or close made me think we might not all literally die,” he said. “Bernie’s the only one.”

A second expert agreed broadly. Dr. Arnold Monto, a professor of epidemiology at the University of Michigan School of Public Health, said by email: "I agree that by 3 weeks, we will have a better idea of what is going to happen going forward. The outbreaks seem to be hitting different communities at different times and at different intensities, so it is hard to generalize However, I agree in general. And that is why action now in terms of social distancing is so important."

He said he was more skeptical about the United States being able to lift restrictions on only part of the population. "Asking a subset to remain sheltered in place, to remain in home, that's more difficult to do," he said by phone.

Dr. William Schaffner, an infectious disease specialist at Vanderbilt University, said the peak might take three more weeks.

One disease modeler said it was "impossible to predict" when the peak would hit. Dr. Stefan Flasche, a disease modeler at The London School of Hygiene & Tropical Medicine, told CNN by email the peak was influenced by the efficiency of lockdown measures, and "may be anywhere between some time very soon and not for another few months."

President Donald Trump has said his desire to lift measures as quickly as possible is motivated by a desire to get the American economy moving again. He has expressed a belief that the economy could experience a "v" shaped, ultra-fast recovery. Yet one economist expressed doubt recovery could be that fast-paced and warned that snapping back in and out of restrictions could cause greater damage.

Erin Strumpf, a professor of economics at McGill University, told CNN: "Nothing suggests that we could just 'snap back' to life as it was before. We're taking concrete actions to lower the probability of an uncertain outcome."

Another diagnostic test under development would work much like an at-home pregnancy test. You would swab your nose, but instead of sending it into a processing center, you’d put it in a liquid and then pour that liquid onto a strip of paper, which would change color if the virus was present. This test may be available in a few months.

We need one other advance in testing, but it’s social, not technical: consistent standards about who can get tested. If the country doesn’t test the right people — essential workers, people who are symptomatic and those who have been in contact with someone who tested positive — then we’re wasting a precious resource and potentially missing big reserves of the virus.

identifying the antibodies that are most effective against the novel coronavirus, and then manufacturing them in a lab. If this works, it is not yet clear how many doses could be produced; it depends on how much antibody material is needed per dose. In 2021, manufacturers may be able to make as few as 100,000 treatments or many millions.

An even better solution would be the broad, voluntary adoption of digital tools. For example, there are apps that will help you remember where you have been

treatment options

giving the plasma (and the antibodies it contains) to sick people. Several major companies are working together to see whether this succeeds.

The second area where we need innovation is contact tracing

Unfortunately, based on the evidence I’ve seen, they’ll likely find a good treatment, but not one that virtually guarantees you’ll recover.

making a vaccine.

The new approach I’m most excited about is known as an RNA vaccine.

an RNA vaccine gives your body the genetic code needed to produce viral fragments on its own.

n RNA vaccine essentially turns your body into its own vaccine manufacturing unit.

World War II was the defining moment of my parents’ generation. Similarly, the coronavirus pandemic — the first in a century — will define this era

here is one big difference between a world war and a pandemic: All of humanity can work together to learn about the disease and develop the capacity to fight it. With the right tools in hand, and smart implementation, we will eventually be able to declare an end to this pandemic

When viewed with the Inflation Reduction Act, which the House is poised to pass later this week, and last year’s bipartisan infrastructure law, a major shift in congressional climate spending comes into focus. According to the RMI analysis, these three laws are set to more than triple the federal government’s average annual spending on climate and clean energy this decade, compared with the 2010s.

Within a few years, when the funding has fully ramped up, the government will spend roughly $80 billion a year on accelerating the development and deployment of zero-carbon energy and preparing for the impacts of climate change. That exceeds the GDP of about 120 of the 192 countries that have signed the Paris Agreement on Climate Change

The law, for instance, establishes a new $20 billion Directorate for Technology, which will specialize in pushing new technologies from the prototype stage into the mass market. It is meant to prevent what happened with the solar industry—where America invented a new technology, only to lose out on commercializing it—from happening again

the bill’s programs focus on the bleeding edge of the decarbonization problem, investing money in technology that should lower emissions in the 2030s and beyond.

The International Energy Association has estimated that almost half of global emissions reductions by 2050 will come from technologies that exist only as prototypes or demonstration projects today.

To get those technologies ready in time, we need to deploy those new ideas as fast as we can, then rapidly get them to commercial scale, Carey said. “What used to take two decades now needs to take six to 10 years.” That’s what the CHIPS Act is supposed to do

By the end of the decade, the federal government will have spent more than $521 billion

Congress has explicitly tasked the new office with studying “natural and anthropogenic disaster prevention or mitigation” as well as “advanced energy and industrial efficiency technologies,” including next-generation nuclear reactors.

The bill also directs about $12 billion in new research, development, and demonstration funding to the Department of Energy, according to RMI’s estimate. That includes doubling the budget for ARPA-E, the department’s advanced-energy-projects skunk works.

it allocates billions to upgrade facilities at the government’s in-house defense and energy research institutes, including the National Renewable Energy Laboratory, the Princeton Plasma Physics Laboratory, and Berkeley Lab, which conducts environmental-science research.

RMI’s estimate of the climate spending in the CHIPS bill should be understood as just that: an estimate. The bill text rarely specifies how much of its new funding should go to climate issues.

When you add CHIPS, the IRA, and the infrastructure law together, Washington appears to be unifying behind a new industrial policy, focused not only on semiconductors and defense technology but clean energy

The three bills combine to form a “a coordinated, strategic policy for accelerating the transition to the technologies that are going to define the 21st century,”

scholars and experts have speculated about whether industrial policy—the intentional use of law to nurture and grow certain industries—might make a comeback to help fight climate change. Industrial policy was central to some of the Green New Deal’s original pitch, and it has helped China develop a commanding lead in the global solar industry.

“Industrial policy,” he said, “is back.”

But in recent years, as the Tel Aviv area has increasingly become a target of rocket attacks, the building has been judged unsafe.

In addition, Israel sits on two seismic faults that in the event of a major earthquake would leave only the lobby of the existing center intact.

The vault, 50 feet down, is cocooned in concrete and steel, and has a separate air supply and filtering system. Moshe Noyovich, the engineer overseeing the project, said the inventory of blood components stored in the vault should suffice for four or five days of war.

The Tesla Inc. CEO tweeted in February that OpenAI had been founded as an open-source nonprofit “to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft. Not what I intended at all.”

Backers say his brand of social-minded capitalism makes him the ideal person to lead OpenAI. Others, including some who’ve worked for him, say he’s too commercially minded and immersed in Silicon Valley thinking to lead a technological revolution that is already reshaping business and social life. 

In the long run, he said, he wants to set up a global governance structure that would oversee decisions about the future of AI and gradually reduce the power OpenAI’s executive team has over its technology. 

OpenAI researchers soon concluded that the most promising path to achieve artificial general intelligence rested in large language models, or computer programs that mimic the way humans read and write. Such models were trained on large volumes of text and required a massive amount of computing power that OpenAI wasn’t equipped to fund as a nonprofit, according to Mr. Altman. 

In its founding charter, OpenAI pledged to abandon its research efforts if another project came close to building AGI before it did. The goal, the company said, was to avoid a race toward building dangerous AI systems fueled by competition and instead prioritize the safety of humanity.

While running Y Combinator, Mr. Altman began to nurse a growing fear that large research labs like DeepMind, purchased by Google in 2014, were creating potentially dangerous AI technologies outside the public eye. Mr. Musk has voiced similar concerns of a dystopian world controlled by powerful AI machines. 

Messrs. Altman and Musk decided it was time to start their own lab. Both were part of a group that pledged $1 billion to the nonprofit, OpenAI Inc. 

Mr. Altman said he doesn’t necessarily need to be first to develop artificial general intelligence, a world long imagined by researchers and science-fiction writers where software isn’t just good at one specific task like generating text or images but can understand and learn as well or better than a human can. He instead said OpenAI’s ultimate mission is to build AGI, as it’s called, safely.

“We didn’t have a visceral sense of just how expensive this project was going to be,” he said. “We still don’t.”

Tensions also grew with Mr. Musk, who became frustrated with the slow progress and pushed for more control over the organization, people familiar with the matter said. 

OpenAI executives ended up reviving an unusual idea that had been floated earlier in the company’s history: creating a for-profit arm, OpenAI LP, that would report to the nonprofit parent. 

Reid Hoffman, a LinkedIn co-founder who advised OpenAI at the time and later served on the board, said the idea was to attract investors eager to make money from the commercial release of some OpenAI technology, accelerating OpenAI’s progress

“You want to be there first and you want to be setting the norms,” he said. “That’s part of the reason why speed is a moral and ethical thing here.”

The decision further alienated Mr. Musk, the people familiar with the matter said. He parted ways with OpenAI in February 2018. 

Mr. Musk announced his departure in a company all-hands, former employees who attended the meeting said. Mr. Musk explained that he thought he had a better chance at creating artificial general intelligence through Tesla, where he had access to greater resources, they said.

OpenAI said that it received about $130 million in contributions from the initial $1 billion pledge, but that further donations were no longer needed after the for-profit’s creation. Mr. Musk has tweeted that he donated around $100 million to OpenAI. 

Mr. Musk’s departure marked a turning point. Later that year, OpenAI leaders told employees that Mr. Altman was set to lead the company. He formally became CEO and helped complete the creation of the for-profit subsidiary in early 2019.

A young researcher questioned whether Mr. Musk had thought through the safety implications, the former employees said. Mr. Musk grew visibly frustrated and called the intern a “jackass,” leaving employees stunned, they said. It was the last time many of them would see Mr. Musk in person.  

In the meantime, Mr. Altman began hunting for investors. His break came at Allen & Co.’s annual conference in Sun Valley, Idaho in the summer of 2018, where he bumped into Satya Nadella, the Microsoft CEO, on a stairwell and pitched him on OpenAI. Mr. Nadella said he was intrigued. The conversations picked up that winter.

“I remember coming back to the team after and I was like, this is the only partner,” Mr. Altman said. “They get the safety stuff, they get artificial general intelligence. They have the capital, they have the ability to run the compute.”   

Mr. Altman disagreed. “The unusual thing about Microsoft as a partner is that it let us keep all the tenets that we think are important to our mission,” he said, including profit caps and the commitment to assist another project if it got to AGI first. 

Some employees still saw the deal as a Faustian bargain. 

OpenAI’s lead safety researcher, Dario Amodei, and his lieutenants feared the deal would allow Microsoft to sell products using powerful OpenAI technology before it was put through enough safety testing,

They felt that OpenAI’s technology was far from ready for a large release—let alone with one of the world’s largest software companies—worrying it could malfunction or be misused for harm in ways they couldn’t predict.  

Mr. Amodei also worried the deal would tether OpenAI’s ship to just one company—Microsoft—making it more difficult for OpenAI to stay true to its founding charter’s commitment to assist another project if it got to AGI first, the former employees said.

Microsoft initially invested $1 billion in OpenAI. While the deal gave OpenAI its needed money, it came with a hitch: exclusivity. OpenAI agreed to only use Microsoft’s giant computer servers, via its Azure cloud service, to train its AI models, and to give the tech giant the sole right to license OpenAI’s technology for future products.

In a recent investment deck, Anthropic said it was “committed to large-scale commercialization” to achieve the creation of safe AGI, and that it “fully committed” to a commercial approach in September. The company was founded as an AI safety and research company and said at the time that it might look to create commercial value from its products. 

Mr. Altman “has presided over a 180-degree pivot that seems to me to be only giving lip service to concern for humanity,” he said. 

“The deal completely undermines those tenets to which they secured nonprofit status,” said Gary Marcus, an emeritus professor of psychology and neural science at New York University who co-founded a machine-learning company

The cash turbocharged OpenAI’s progress, giving researchers access to the computing power needed to improve large language models, which were trained on billions of pages of publicly available text. OpenAI soon developed a more powerful language model called GPT-3 and then sold developers access to the technology in June 2020 through packaged lines of code known as application program interfaces, or APIs. 

Mr. Altman and Mr. Amodei clashed again over the release of the API, former employees said. Mr. Amodei wanted a more limited and staged release of the product to help reduce publicity and allow the safety team to conduct more testing on a smaller group of users, former employees said. 

Mr. Amodei left the company a few months later along with several others to found a rival AI lab called Anthropic. “They had a different opinion about how to best get to safe AGI than we did,” Mr. Altman said.

Anthropic has since received more than $300 million from Google this year and released its own AI chatbot called Claude in March, which is also available to developers through an API. 

Mr. Altman shared the contract with employees as it was being negotiated, hosting all-hands and office hours to allay concerns that the partnership contradicted OpenAI’s initial pledge to develop artificial intelligence outside the corporate world, the former employees said. 

In the three years after the initial deal, Microsoft invested a total of $3 billion in OpenAI, according to investor documents. 

More than one million users signed up for ChatGPT within five days of its November release, a speed that surprised even Mr. Altman. It followed the company’s introduction of DALL-E 2, which can generate sophisticated images from text prompts.

By February, it had reached 100 million users, according to analysts at UBS, the fastest pace by a consumer app in history to reach that mark.

n’s close associates praise his ability to balance OpenAI’s priorities. No one better navigates between the “Scylla of misplaced idealism” and the “Charybdis of myopic ambition,” Mr. Thiel said. 

Mr. Altman said he delayed the release of the latest version of its model, GPT-4, from last year to March to run additional safety tests. Users had reported some disturbing experiences with the model, integrated into Bing, where the software hallucinated—meaning it made up answers to questions it didn’t know. It issued ominous warnings and made threats. 

“The way to get it right is to have people engage with it, explore these systems, study them, to learn how to make them safe,” Mr. Altman said.

After Microsoft’s initial investment is paid back, it would capture 49% of OpenAI’s profits until the profit cap, up from 21% under prior arrangements, the documents show. OpenAI Inc., the nonprofit parent, would get the rest.

He has put almost all his liquid wealth in recent years in two companies. He has put $375 million into Helion Energy, which is seeking to create carbon-free energy from nuclear fusion and is close to creating “legitimate net-gain energy in a real demo,” Mr. Altman said.

He has also put $180 million into Retro, which aims to add 10 years to the human lifespan through “cellular reprogramming, plasma-inspired therapeutics and autophagy,” or the reuse of old and damaged cell parts, according to the company. 

He noted how much easier these problems are, morally, than AI. “If you’re making nuclear fusion, it’s all upside. It’s just good,” he said. “If you’re making AI, it is potentially very good, potentially very terrible.” 

Donor-advised funds are categorized by law as public charities, rather than private foundations, so they have no payout requirements and few disclosure requirements.

And wealthy residents of Silicon Valley are donating large sums to such funds

critics say that in part because of its structure as a warehouse of donor-advised funds, the Silicon Valley Community Foundation has not had a positive impact on the community it is meant to serve. Some people I talked to say the foundation has had little interest in spending money, because its chief executive, Emmett Carson, who was placed on paid administrative leave after the Chronicle’s report, wanted it to be known that he had created one of the biggest foundations in the country. Carson was “aggressive” about trying to raise money, but “unaggressive about suggesting what clients would do with it,”

“Most of us in the local area have seen our support from the foundation go down and not up,” he said.

The amount of money going from the Silicon Valley Community Foundation to the nine-county Bay Area actually dropped in 2017 by 46 percent, even as the amount of money under management grew by 64 percent, to $13.5 billion

“They got so drunk on the idea of growth that they lost track of anything smacking of mission,” he said. It did not help perceptions that the foundation opened offices in New York and San Francisco at the same time local organizations were seeing donations drop.

The foundation now gives her organization some grants, but they don’t come from the donor-advised funds, she told me. “I haven’t really cracked the code of how to access those donor-advised funds,” she said. Her organization had been getting between $50,000 and $100,000 a year from United Way that it no longer gets, she said,

Rob Reich, the co-director of the Stanford Center on Philanthropy and Civil Society, set up a donor-advised fund at the Silicon Valley Community Foundation as an experiment. He spent $5,000—the minimum amount accepted—and waited. He received almost no communication from the foundation, he told me. No emails or calls about potential nonprofits to give to, no information about whether the staff was out looking for good opportunities in the community, no data about how his money was being managed.

One year later, despite a booming stock market, his account was worth less than the $5,000 he had put in, and had not been used in any way in the community. His balance was lower because the foundation charges hefty fees to donors who keep their money there. “I was flabbergasted,” he told me. “I didn’t understand what I, as a donor, was getting for my fees.”

Though donors receive a big tax break for donating to donor-advised funds, the funds have no payout requirements, unlike private foundations, which are required to disperse 5 percent of their assets each year. With donor-advised funds, “there’s no urgency and no forced payout,”

he had met wealthy individuals who said they were setting up donor-advised funds so that their children could disperse the funds and learn about philanthropy—they had no intent to spend the money in their own lifetimes.

Fund managers also receive fees for the amount of money they have under management, which means they have little incentive to encourage people to spend the money in their accounts,

Transparency is also an issue. While foundations have to provide detailed information about where they give their money, donor-advised funds distributions are listed as gifts made from the entire charitable fund—like the Silicon Valley Community Foundation—rather than from individuals.

Donor-advised funds can also be set up anonymously, which makes it hard for nonprofits to engage with potential givers. They also don’t have websites or mission statements like private foundations do, which can make it hard for nonprofits to know what causes donors support.

Public charities—defined as organizations that receive a significant amount of their revenue from small donations—were saddled with less oversight, in part because Congress figured that their large number of donors would make sure they were spending their money well, Madoff said. But an attorney named Norman Sugarman, who represented the Jewish Community Federation of Cleveland, convinced the IRS to categorize a certain type of asset—charitable dollars placed in individually named accounts managed by a public charity—as donations to public, not private, foundations.

Donor-advised funds have been growing nationally as the amount of money made by the top 1 percent has grown: Contributions to donor-advised funds grew 15.1 percent in fiscal year 2016, according to The Chronicle of Philanthropy, while overall charitable contributions grew only 1.4 percent that year

Six of the top 10 philanthropies in the country last year, in terms of the amount of nongovernmental money raised, were donor-advised funds,

In addition, those funds with high payout rates could just be giving to another donor-advised fund, rather than to a public charity, Madoff says. One-quarter of donor-advised fund sponsors distribute less than 1 percent of their assets in a year,

Groups that administer donor-advised funds defend their payout rate, saying distributions from donor-advised funds are around 14 percent of assets a year. But that number can be misleading, because one donor-advised fund could give out all its money, while many more could give out none, skewing the data.

Donor-advised funds are especially popular in places like Silicon Valley because they provide tax advantages for donating appreciated stock, which many start-up founders have but don’t necessarily want to pay huge taxes on

Donors get a tax break for the value of the appreciated stock at the time they donate it, which can also spare them hefty capital-gains taxes. “Anybody with a business interest can give their business interest before it goes public and save huge amounts of taxes,”

Often, people give to donor-advised funds right before a public event like an initial public offering, so they can avoid the capital-gains taxes they’d otherwise have to pay, and instead receive a tax deduction. Mark Zuckerberg and Priscilla Chan gave $500 million in stock to the foundation in 2012, when Facebook held its initial public offering, and also donated $1 billion in stock in 2013

Wealthy donors can also donate real estate and deduct the value of real estate at the time of the donation—if they’d given to a private foundation, they’d only be able to deduct the donor’s basis value (typically the purchase price) of the real estate at the time they acquired it. The difference can be a huge amount of money in the hot market of California.

“So far we’re seeing basic agreement with our best model of the universe, but we’re also seeing some potentially interesting differences that could indicate that dark energy is evolving with time,”

When the scientists combined their map with other cosmological data, they were surprised to find that it did not quite agree with the otherwise reliable standard model of the universe, which assumes that dark energy is constant and unchanging. A varying dark energy fit the data points better.

“It’s certainly more than a curiosity,” Dr. Palanque-Delabrouille said. “I would call it a hint. Yeah, it’s not yet evidence, but it’s interesting.”

But this version of dark energy is merely the simplest one. “With DESI we now have achieved a precision that allows us to go beyond that simple model,” Dr. Palanque-Delabrouille said, “to see if the density of dark energy is constant over time, or if it has some fluctuations and evolution with time.”

“While combining data sets is tricky, and these are early results from DESI, the possible evidence that dark energy is not constant is the best news I have heard since cosmic acceleration was firmly established 20-plus years ago.”

praised the new survey as “superb data.” The results, she said, “open the potential for a new window into understanding dark energy, the dominant component of the universe, which remains the biggest mystery in cosmology. Pretty exciting.”

what if dark energy were not constant as the cosmological model assumed?

At issue is a parameter called w, which is a measure of the density, or vehemence, of the dark energy. In Einstein’s version of dark energy, this number remains constant, with a value of –1, throughout the life of the universe. Cosmologists have been using this value in their models for the past 25 years.

Dark energy took its place in the standard model of the universe known as L.C.D.M., composed of 70 percent dark energy (Lambda), 25 percent cold dark matter (an assortment of slow-moving exotic particles) and 5 percent atomic matter. So far that model has been bruised but not broken by the new James Webb Space Telescope

As a measure of distance, the researchers used bumps in the cosmic distribution of galaxies, known as baryon acoustic oscillations. These bumps were imprinted on the cosmos by sound waves in the hot plasma that filled the universe when it was just 380,000 years old. Back then, the bumps were a half-million light-years across. Now, 13.5 billion years later, the universe has expanded a thousandfold, and the bumps — which are now 500 million light-years across — serve as convenient cosmic measuring sticks.

The DESI scientists divided the past 11 billion years of cosmic history into seven spans of time. (The universe is 13.8 billion years old.) For each, they measured the size of these bumps and how fast the galaxies in them were speeding away from us and from each other.

When the researchers put it all together, they found that the usual assumption — a constant dark energy — didn’t work to describe the expansion of the universe. Galaxies in the three most recent epochs appeared closer than they should have been, suggesting that dark energy could be evolving with time.

Dr. Riess of Johns Hopkins, who had an early look at the DESI results, noted that the “hint,” if validated, could pull the rug out from other cosmological measurements, such as the age or size of the universe. “This result is very interesting and we should take it seriously,” he wrote in his email. “Otherwise why else do we do these experiments?”