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[Science fiction’s influence]…leaves us facing a future we were all warned about, courtesy of dystopian novels mistaken for instruction manuals…[T]he billionaires behind the steering wheel have mistaken cautionary tales and entertainments for a road map, and we’re trapped in the passenger seat.

t even then it would be hard to argue exogeneity, since censorship is a response to society’s values as well as a potential cause of them.

Stross is alleging that the billionaires are getting Gernsback and Campbell’s intentions exactly right. His problem is simply that Gernsback and Campbell were kind of right-wing, at least by modern standards, and he’s worried that their sci-fi acted as propaganda for right-wing ideas.

The question of whether literature has a political effect is an empirical one — and it’s a very difficult empirical one. It’s extremely hard to test the hypothesis that literature exerts a diffuse influence on the values and preconceptions of the citizenry

I think Stross really doesn’t come up with any credible examples of billionaires mistaking cautionary tales for road maps. Instead, most of his article focuses on a very different critique — the idea that sci-fi authors inculcate rich technologists with bad values and bad visions of what the future ought to look like:

I agree that the internet and cell phones have had an ambiguous overall impact on human welfare. If modern technology does have a Torment Nexus, it’s the mobile-social nexus that keeps us riveted to highly artificial, attenuated parasocial interactions for every waking hour of our day. But these technologies are still very young, and it remains to be seen whether the ways in which we use them will get better or worse over time.

There are very few technologies — if any — whose impact we can project into the far future at the moment of their inception. So unless you think our species should just refuse to create any new technology at all, you have to accept that each one is going to be a bit of a gamble.

As for weapons of war, those are clearly bad in terms of their direct effects on the people on the receiving end. But it’s possible that more powerful weapons — such as the atomic bomb — serve to deter more deaths than they cause

yes, AI is risky, but the need to manage and limit risk is a far cry from the litany of negative assumptions and extrapolations that often gets flung in the technology’s directio

I think the main problem with Harper’s argument is simply techno-pessimism. So far, technology’s effects on humanity have been mostly good, lifting us up from the muck of desperate poverty and enabling the creation of a healthier, more peaceful, more humane world. Any serious discussion of the effects of innovation on society must acknowledge that. We might have hit an inflection point where it all goes downhill from here, and future technologies become the Torment Nexuses that we’ve successfully avoided in the past. But it’s very premature to assume we’ve hit that point.

I understand that the 2020s are an exhausted age, in which we’re still reeling from the social ructions of the 2010s. I understand that in such a weary and fearful condition, it’s natural to want to slow the march of technological progress as a proxy for slowing the headlong rush of social progress

And I also understand how easy it is to get negatively polarized against billionaires, and any technologies that billionaires invent, and any literature that billionaires like to read.

But at a time when we’re creating vaccines against cancer and abundant clean energy and any number of other life-improving and productivity-boosting marvels, it’s a little strange to think that technology is ruining the world

The dystopian elements of modern life are mostly just prosaic, old things — political demagogues, sclerotic industries, social divisions, monopoly power, environmental damage, school bullies, crime, opiates, and so on

The basic driver is this: “Europe has an aging population that values its free time and social benefits over work and productivity. (This reduces labor force participation, innovation potential, and the economic growth of the continent.)

The eurozone economy grew about 6% over the past 15 years, measured in dollars, compared with 82% for the US, according to International Monetary Fund data. That has left the average EU country poorer per head than every US state except Idaho and Mississippi

If the current trend continues, by 2035 the gap between economic output per capita in the US and EU will be as large as that between Japan and Ecuador today

even in Smith’s figures, there is no Northern European economy that outperforms the US.

The US economy has grown 82% in fifteen years! Barring anything more than a mild recession, that means that we can expect the US economy to more than double by the time we hit 20 years from 2008. Isn’t that wonderful?

It’s not just a case of doubling the overall size of the economy. The increase in wealth has been widely distributed.

I was struck by a calculation by George Washington University’s Stephen Rose that he describes at a center-left newsletter called The Liberal Patriot

Deciding what is “middle class” versus “lower middle class” versus “upper middle class” is difficult, and every analysis sets up different cutoffs between these categories. But Rose sets a reasonable level, describing “upper middle class” as an income between $100,000 and $350,000

Using this measure, there was real growth in every rung of the economic ladder over the period from 1979 to 2019, with each ascending step having slightly higher percentage gain….

In brief, economic growth from 1979 to 2019 led more of the population to move up to higher social classes. As Table 1 shows, the bottom two categories—poor and near-poor plus lower middle class—went from a combined 49 percent to 29 percent

The size of the [core middle class] also declined, down from 39 percent to 31 percent over these years

These declines manifest themselves in a massive—and massively under-covered—growth of the [upper middle class], spiking from 13 percent in 1979 to 37 percent in 2019.

America has always thought of itself as a middle-class country. But we are rapidly becoming an upper-middle-class country

This is now the largest category, and at the rate we’re going, it will soon be an outright majority.

upper-middle-class people can afford more welfare-state spending, and they also have more access to education and, frankly, the luxury of agonizing over something other than our pocketbooks. It has been a long time since most Americans were concerned about how to put a roof over our heads, so we have moved on from “kitchen table” issues to concerns about values and status and self-image.

in this context, the Old Left welfare-state programs look, not merely unnecessary, but callous and cruel

the incentives created by welfare programs discourage work for the poor. But in a growing and thriving upper-middle-class country, this looks like a way to create a permanent underclass who are kept in poverty so we can congratulate ourselves on our compassion and generosity

some of this may also explain the right’s belligerent opposition to immigration. If we are becoming an upper-middle-class country, perhaps we are taking on some of the attitudes of a gated community that wants to keep out the riff-raff.

As for our continuing distress, the standard explanation is a uniquely American loneliness. The surgeon general, Vivek Murthy, declared it an epidemic in its own right.

The truth, however, is there’s no good evidence that Americans are lonelier than ever

a major recent poll shows that older Americans are now significantly less lonely than they were three years ago; a recent peer-reviewed study reports that middle-aged Americans describe themselves as less lonely than they were 20 years ag

Loneliness is more pervasive among younger Americans, but there too, the rates have also plummeted since 2020

Logically, we should be feeling better. Why can’t we shake this thing?

loneliness was never the core problem. It was, rather, the sense among so many different people that they’d been left to navigate the crisis on their own. How do you balance all the competing demands of health, money, sanity?

The answer was always the same: Figure it out.

while other countries built trust and solidarity, America — both during and after 2020 — left millions to fend for themselves.

For millions of Americans, distrust feels like the most rational state.

The very different people I spoke with that year all had one thing in common: a feeling that in the wake of Covid, all the larger institutions they had been taught to trust had failed them. At the most precarious times in their lives, they found there was no system in place to help.

four years later, the situation is, if anything, worse.

Nursing homes across the country, where poor labor conditions were linked to higher Covid mortality levels, remain understaffed, leaving old, frail residents more vulnerable than they should be. Hunger and food insecurity remain wrenching emergencies.

Students haven’t fully returned to school. Congress passed the Child Poverty Reduction Act of 2021, one of the most effective antipoverty measures in decades. Then a year later, Congress ended it, pushing some five million young people back down into extreme financial need.

When everything was uncertain and everyone’s future was on the line, we walked right up to the precipice of a moral breakthrough, and then we turned back.

Look at the way we all accustomed ourselves to the term “essential worker,” an ostensible term of respect that instead condemned people to work in manifestly dangerous conditions. The adoption of that term made visible something we now cannot unsee: In the United States the people we rely on most to keep our world functioning are the people we treated as disposable.

we might call the bigger problem structural isolation: abandoned by employers, deprived of shared purpose, denied care. The combined effect sent a strong message that individual lives weren’t worth as much anymore.

People treated one another accordingly. We all remember the viral videos of people screaming at one another in supermarkets and on public transportation. Violent crime spiked. Even reckless driving surged — but it happened only in the United States.

The reasons for that American exceptionalism become only more urgent in an election year, when, as in a public health crisis, presidents can try to bring people together or try to turn them against one another.

But only a handful of cancers—of the breast, lung, colon and cervix—have screening tests recommended by the U.S. Preventive Services Task Force

Many companies are developing blood tests that can detect cancer signals before symptoms occur, and Grail’s is the most advanced. A study found it can identify more than 50 types of cancer 52% of the time and the 12 deadliest cancers in Stages I through III 68% of the time.

There’s a hitch. The test costs $949 and isn’t covered by Medicare or most private insurance.

The trouble is that this cancer is almost never caught early. There’s no routine screening for it, and symptoms don’t develop until it is advanced. Mr. Royse, 64, had no idea he was sick until he took a blood test called Galleri, produced by the Menlo Park, Calif., startup Grail. He had surgery and chemotherapy and is now cancer-free.

Mr. Royse visited Grail’s website, which referred him to a telemedicine provider who ordered a test. Another telemedicine doctor walked him through his results, which showed a cancer signal likely emanating from the pancreas, gallbladder, stomach or esophagus.

An MRI revealed a suspicious mass on his pancreas, which a biopsy confirmed was cancerous. Mr. Royse had three months of chemotherapy, surgery and another three months of chemotherapy, which ended last February. Because pancreatic cancer often recurs, he gets CT and MRI scans every three months. In addition, he has signed up for startup Natera’s Signatera customized blood test, which checks DNA specific to the patient’s cancer and can signal its return before signs are visible on the scans

Grail’s test likewise looks for DNA shed by cancer cells, which is tagged by molecules called methyl groups that are specific to a cancer’s origin. Grail uses genetic sequencing and machine learning to recognize links between DNA methyl groups and particular cancers

The test “is based on how much DNA is being shed by tumor,” Grail’s president, Josh Ofman, says. “Some tumors shed a lot of DNA. Some shed almost none.

ut slow-growing tumors typically aren’t shedding a lot of DNA.” That reduces the probability that Grail’s test will identify indolent cancers that pose no immediate danger.

Grail’s test has a roughly 0.5% false-positive rate, meaning 1 in 200 patients who don’t have cancer will get a positive signal

Its positive predictive value is 43%, so that of every 100 patients with a positive signal, 43 actually have cancer

the legislation’s price tag could reduce political support. According to one private company’s estimate, the test could cost the government $39 billion to $145 billion over a decade. Mr. Goldman counters that analysts usually overestimate the costs and underestimate the benefits of medical interventions.

Because Grail uses machine learning to detect DNA-methylation cancer linkages, the Grail test’s accuracy should improve as more tests and patient data are collected

regulators may balk at approving the test, and insurers at covering it, until it becomes cheaper and more reliable.

How would the FDA weigh the risk that a false positive on a test like Grail’s could require invasive follow-up testing against the dire but hard-to-quantify risk that a deadly cancer wouldn’t be caught until it’s much harder to treat? It’s unclear.

some experts urge the FDA to require large randomized controlled trials before approving blood cancer tests. “Multicancer screening would entail tremendous costs and potentially substantial harms,” H. Gilbert Welch and Tanujit Dey of Brigham and Women’s Hospital wrote

Dr. Welch and Mr. Dey also suggested that companies should be required to prove their tests reduce overall mortality, even though the FDA doesn’t require drugmakers to prove their products reduce deaths or extend life. Clinical trials for the mRNA Covid vaccines didn’t show they reduced deaths.

One alternative is to rely on real-world studies, which Grail is already doing. One study of patients 50 and older without signs of cancer showed that the test doubled the number of cancers detected.

One recurring problem he has seen: “Epidemiologists are always getting cancer wrong,” he says. “Epidemiologists a decade ago said U.S. overtreats cancers. Well, no, the EU undertreats cancer.”

A 2012 study that he co-authored found that the higher U.S. spending on cancer care relative to Europe between 1983 and 1999 resulted in significantly higher survival rates for American patients than for those in Europe

By his study’s calculation, U.S. spending on cancer treatments during that period resulted in $556 billion in net benefits owing to reduced mortality.

He expects Galleri and other multicancer early-detection tests to reduce deaths and produce public-health and economic benefits that exceed their monetary costs

Expanding access to multicancer early-detection tests could also help solve the chicken-and-egg problem of drug development. Because few patients are diagnosed at early stages of some cancers, it’s hard to develop treatments for them

the positive predictive value for some recommended cancer screenings is far lower. Fewer than 1 in 10 women with an abnormal finding on a mammogram are diagnosed with breast cancer.

Mr. Royse makes the same point with personal force. “I would be dead right now if not for multicancer early-detection testing,” Mr. Royse told an FDA advisory committee last fall. “The longer the FDA waits, the more people are going to die. It’s that simple.”

Researchers call this effect “the liar’s dividend,” and politicians have already tried to cast off unfavorable clips as AI-generated: Last month, Donald Trump falsely claimed that an attack ad had used AI to make him look bad.

“Deepfake” could become the “fake news” of 2024, an infrequent but genuine phenomenon that gets co-opted as a means of discrediting the truth

Steve Bannon’s infamous assertion that the way to discredit the media is to “flood the zone with shit.”

AI is less likely to create new dynamics than to amplify existing ones. Presidential campaigns, with their bottomless coffers and sprawling staff, have long had the ability to target specific groups of voters with tailored messaging

They might have thousands of data points about who you are, obtained by gathering information from public records, social-media profiles, and commercial brokers

“It is now so cheap to engage in this mass personalization,” Laura Edelson, a computer-science professor at Northeastern University who studies misinformation and disinformation, told me. “It’s going to make this content easier to create, cheaper to create, and put more communities within the reach of it.”

That sheer ease could overwhelm democracies’ already-vulnerable election infrastructure. Local- and state-election workers have been under attack since 2020, and AI could make things worse.

Those officials have also expressed the worry, he said, that generative AI will turbocharge the harassment they face, by making the act of writing and sending hate mail virtually effortless. (The consequences may be particularly severe for women.)

past attacks—most notably the Russian hack of John Podesta’s email, in 2016—have wrought utter havoc. But now pretty much anyone—whatever language they speak and whatever their writing ability—can send out hundreds of phishing emails in fluent English prose. “The cybersecurity implications of AI for elections and electoral integrity probably aren’t getting nearly the focus that they should,”

Just last week, AI-generated audio surfaced of one Harlem politician criticizing another. New York City has perhaps the most robust local-news ecosystem of any city in America, but elsewhere, in communities without the media scrutiny and fact-checking apparatuses that exist at the national level, audio like this could cause greater chaos.

In countries that speak languages with less online text for LLMs to gobble up, AI tools may be less sophisticated. But those same countries are likely the ones where tech platforms will pay the least attention to the spread of deepfakes and other disinformation, Edelson told me. India, Russia, the U.S., the EU—this is where platforms will focus. “Everything else”—Namibia, Uzbekistan, Uruguay—“is going to be an afterthought,”

Most of us tend to fret about the potential fake video that deceives half of the nation, not about the flood of FOIA requests already burying election officials. If there is a cost to that way of thinking, the world may pay it this year at the polls.

a 2022 Reuters investigation found that some American clinics were quite aggressive with treatment: None of the 18 U.S. clinics that Reuters looked at performed long assessments on their patients, and some prescribed puberty blockers on the first visit.

As Cass writes in her report, “The toxicity of the debate is exceptional.” She continues, “There are few other areas of health care where professionals are so afraid to openly discuss their views, where people are vilified on social media and where name-calling echoes the worst bullying behavior.”

The report’s greatest strength is its epistemic humility. Cass is continually asking, “What do we really know?” She is carefully examining the various studies — which are high quality, which are not. She is down in the academic weeds.

he notes that the quality of the research in this field is poor. The current treatments are “built on shaky foundations,” she writes in The BMJ. Practitioners have raced ahead with therapies when we don’t know what the effects will be. As Cass tells The BMJ, “I can’t think of another area of pediatric care where we give young people a potentially irreversible treatment and have no idea what happens to them in adulthood.”

Our natural human tendency is to be too confident in our knowledge, too quick to ignore contrary evidence. But these days it has become acceptable to luxuriate in those epistemic shortcomings, not to struggle against them. See, for example, the modern Republican Party.

In 1877 a British philosopher and mathematician named William Kingdon Clifford published an essay called “The Ethics of Belief.” In it he argued that if a shipowner ignored evidence that his craft had problems and sent the ship to sea having convinced himself it was safe, then of course we would blame him if the ship went down and all aboard were lost. To have a belief is to bear responsibility, and one thus has a moral responsibility to dig arduously into the evidence, avoid ideological thinking and take into account self-serving biases.

“It is wrong always, everywhere, and for anyone, to believe anything upon insufficient evidence,” Clifford wrote

A belief, he continued, is a public possession. If too many people believe things without evidence, “the danger to society is not merely that it should believe wrong things, though that is great enough; but that it should become credulous, and lose the habit of testing things and inquiring into them; for then it must sink back into savagery.”

Since the Trump years, this habit of not consulting the evidence has become the underlying crisis in so many realms. People segregate into intellectually cohesive teams, which are always dumber than intellectually diverse teams. Issues are settled by intimidation, not evidence

her core conclusion is this: “For most young people, a medical pathway will not be the best way to manage their gender-related distress.” She realizes that this conclusion will not please many of the young people she has come to know, but this is where the evidence has taken her.

She writes in her report, “The option to provide masculinizing/feminizing hormones from age 16 is available, but the review would recommend extreme caution.

In other words, the cultural crackup of the last few months only appears to be part of an international conflict. It is, in fact, resolutely German. What is really being fought over here is a hazy, transcendent national concept that, since Oct. 7, has overtaken more firmly constitutional principles of free expression and free association.

The tensions have been building since at least 2019, when the federal Parliament adopted a resolution designating the movement calling for a boycott of Israel as antisemitic, and urging local governments and “public stakeholders” not to fund organizations or individuals that support it. That makes a big difference here, since so many artists, writers and musicians receive generous government aid. The resolution, though nonbinding, led some cultural institutions to rescind invitations to critics of Israeli policy, and many more to take a hesitant approach.

“People in cultural institutions are risk-averse,” said Tobias Haberkorn, who edits the Berlin Review, a new literary publication. “So if they have to decide, ‘Am I going to invite this or that artist with a Middle Eastern background, or not?’ I can very well see them not inviting them. Just to avoid the potential hassle.”

Since Oct. 7, accusations of antisemitism have flown much more broadly. Some are merited. Many others are dubious. Quite a number of those accused of antisemitism have been Jewish, such as Gessen.

“There are many Jewish perspectives, and that is not being honored here in a country where the history cannot be excused,” said Peaches, who is also Jewish. “For any progressive Jewish person who is thinking about what is going on, and understanding the history of what is going on, to be called antisemitic — by Germans — is ridiculous. Never did I think in 2024 that I would be thinking about that.”

Yet it’s worth pointing out how few of these accusations revolve around cultural production. It is rare for Berlin’s theaters or festivals to cancel someone for what they actually sing or paint or film

What gets you now are statements, posts, likes, signatures: the imperatives of social media, which are swallowing culture wholesale. Once debates like this would have played out in Germany’s elite press, where intellectuals clashed over the country’s moral responsibility to the past. Today the national papers, and the institutions too, are playing catch-up to Ruhrbarone, a small website from the provincial city of Bochum that took down Anderson and many others.

Postolnikov has been under increasing scrutiny in the criminal investigation into the Trump Media merger. Most recently, he has been listed on search warrant affidavits alongside several associates – one of whom was indicted last month for money laundering on top of earlier insider-trading charges.

Trump Media then received the loans from ES Family Trust: $2m on 23 December 2021, and $6m on 17 February 2022.

Part of the problem was that Trump Media struggled to get financing because traditional banks were reluctant to lend millions to Trump’s social media company in the wake of the January 6 Capitol attack, Wilkerson said.Trump Media eventually found some lenders, including ES Family Trust, but the sequence of events was curious.

S Family Trust was established on 18 May 2021, its creation papers show. Postolnikov’s “user” access to the account was “verified” on 30 November 2021 by a Paxum Bank manager in Dominica. The trust was funded for the first time on 2 December 2021

In late 2021, Trump Media was facing financial trouble after the original planned merger with Digital World was delayed indefinitely when the Securities and Exchange Commission opened an investigation into the merger, Trump Media’s since-ousted co-founder-turned-whistleblower Will Wilkerson recounted in an interview.

The loans came in the form of convertible promissory notes, meaning ES Family Trust would gain a major stake in Trump Media because it was offering the money in exchange for Trump Media agreeing to convert the loan principal into “shares of Company Stock”.

Oddly, the notes were never signed. But the investment in Trump Media proved to be huge: while precise figures can only be known by Trump Media, ES Family Trust’s stake in Trump Media is worth between $20m and $40m even after the sharp decline of the company’s share price in the wake of a poor earnings report

The ES Family Trust account also appears to have benefited Postolnikov personally. As the criminal investigation into the Trump Media deal intensified towards the end of last year, the trust recorded several transfers to Postolnikov with the subject line “Partial Loan Return”.In total, the documents showed that the trust transferred $4.8m to Postolnikov’s account, although $3m was inexplicably “reversed”.

The reason for the trust’s creation remains unknown. Aside from the money that went to Trump Media, the trust’s statements show the trust has directly invested money with only two other companies: $10.8m to Eleven Ventures LLC, a venture capital firm, and $1m to Wedbush Securities, a wealth management firm.

The creation papers also contained something notable: a declaration that, if the original trustee – a Paxum employee named Angel Pacheco – stepped down from the role, his successor would be a certain individual named Michael Shvartsman.

Last month, federal prosecutors charged Michael Shvartsman, a close associate of Postolnikov, with money laundering in a superseding indictment after previously charging him and two others in July with insider-trading Digital World shares. Shvartsman and his co-defendants pleaded not guilty.

nformant for the DHS, court filings show: in one March 2023 meeting with the informant and an associate, Shvartsman mentioned a friend who owned a bank in Dominica and made bridge loans to Trump Media.

“[Shvartsman’s associate] told the [confidential informant] that he does not think the SEC would be able to go after [Shvartsman] for his part in the investment but mentioned that [Shvartsman] essentially provided ‘bridge financing’ for the firm behind the Truth Social media platform,” it said.

The investigation into potential money laundering appears to have started after Wilkerson’s lawyers Phil Brewster, Stephen Bell and Patrick Mincey alerted the US attorney’s office in the southern district of New York to the ES Family Trust loans in October 2022.

Months later, in June 2023, the FBI expanded its investigation to work jointly with the Department of Homeland Security’s El Dorado taskforce, which specializes in money laundering, and its Illicit Proceeds and Foreign Corruption group, which targets corrupt foreign officials who use US entities to launder illicit funds.

Without giving specifics, it said AI tools have already begun to damage human dignity because the tools are sometimes designed to seize users’ attention without regard to morals or accuracy.

Unless AI is restrained, “in the worst-case scenario, democracy and social order could collapse, resulting in wars,” the manifesto said.

It said Japan should take measures immediately in response, including laws to protect elections and national security from abuse of generative AI.

The Biden administration is also stepping up oversight, invoking emergency federal powers last October to compel major AI companies to notify the government when developing systems that pose a serious risk to national security. The U.S., U.K. and Japan have each set up government-led AI safety institutes to help develop AI guidelines.

NTT and Yomiuri said their manifesto was motivated by concern over public discourse. The two companies are among Japan’s most influential in policy. The government still owns about one-third of NTT, formerly the state-controlled phone monopoly.

Yomiuri Shimbun, which has a morning circulation of about six million copies according to industry figures, is Japan’s most widely-read newspaper. Under the late Prime Minister Shinzo Abe and his successors, the newspaper’s conservative editorial line has been influential in pushing the ruling Liberal Democratic Party to expand military spending and deepen the nation’s alliance with the U.S.

The Yomiuri’s news pages and editorials frequently highlight concerns about artificial intelligence. An editorial in December, noting the rush of new AI products coming from U.S. tech companies, said “AI models could teach people how to make weapons or spread discriminatory ideas.” It cited risks from sophisticated fake videos purporting to show politicians speaking.

NTT is active in AI research, and its units offer generative AI products to business customers. In March, it started offering these customers a large-language model it calls “tsuzumi” which is akin to OpenAI’s ChatGPT but is designed to use less computing power and work better in Japanese-language contexts.

Republican politicians, sensing momentum, called on other firms to follow suit.

“This was always cosmetic,” said Shivaram Rajgopal, a professor at Columbia Business School. “If signing a piece of paper was getting these companies into trouble, it’s no surprise they’re getting the hell out.

American asset managers have a fiduciary duty to act in the best interest of their clients, and the financial firms were worried that a new strategy by Climate Action 100+ could expose them to legal risks.

Since its founding in 2017, the group focused on getting publicly traded companies to increase how much information they shared about their emissions and identify climate-related risks to their businesses.

In addition to the risk that some clients might disapprove, and potentially sue, there were other concerns. Among them: that acting in concert to shape the behaviors of other companies could fall afoul of antitrust regulations.

The new plan called on asset-management firms to begin pressuring companies like Exxon Mobil and Walmart to adopt policies that could entail, for example, using fewer fossil fuels

last year, Climate Action 100+ said it would shift its focus toward getting companies to reduce emissions with what it called phase two of its strategy

BlackRock also said that one of its subsidiaries, BlackRock International, would continue to participate in the group — a tacit acknowledgment of the different regulatory environment in Europe. BlackRock also said it was initiating new features that would let clients choose if they wanted to pressure companies to reduce their emissions.

Pimco, another big asset manager, followed suit. “We have concluded that our Climate Action 100+ participation is no longer aligned with PIMCO’s approach to sustainability,” a firm spokesman said in a statement.

JPMorgan said it was pulling out of the group in recognition of the fact that, over the past few years, the firm had developed its own framework for engaging on climate risk

The fracturing of Climate Action 100+ was a victory for Representative Jim Jordan, Republican of Ohio, who has led a campaign against companies pursuing E.S.G. goals, shorthand for environmental, social and governance factors.

Embracing E.S.G. principles and speaking up on climate issues has become commonplace across corporate America in recent years. Chief executives warned about the dangers of climate change. Banks and asset managers formed alliances to phase out fossil fuels. Trillions of dollars were allocated for sustainable investing.

“Phase two is not that different,” she said. “It’s basically investors working with companies and saying: ‘OK, you’ve disclosed the risk. We just want to know how you’re going to address it.’ Because that’s what the investors want. How are you dealing with risk?”

Mindy Lubber, the chief executive of Ceres and a member of the steering committee of Climate Action 100+, disputed the notion that the new strategy represented a change from the focus on enhanced disclosure.

“The political cost has heightened, the legal risk has heightened,” he said. “That said, these corporations are not doing U-turns,” he added. “They continue to consider climate. That’s not going away. It’s adapting to the current environment.”

Aron Cramer, chief executive for BSR, a sustainable-business consultancy, said the Wall Street firms were responding to political pressure, but not abandoning their climate commitments altogether.

Several of the firms that backed out of Climate Action 100+ said they remained committed to the issue. JPMorgan said that it had a team of 40 people working on sustainable investing and that it believed “climate change continues to present material economic risks and opportunities to our clients.”

Henry Highland Garnet — the first African-American to speak in Congress after the passage of the Thirteenth Amendment — even apologized for speaking of various different races, “when in fact there is but one race, as there was but one Adam.”

Fast forward to 2015, when the University of California called the phrase “There is only one race, the human race” a “micro-aggression”; or 2020, when the phrase “All Lives Matter” was deemed evidence of “anti-blackness”

The 21st Century, the brief era of color-blindness behind us, reached back to the 19th to insist that race defines us at our core, can never be overcome, and marks us all either an oppressor or a victim.

Hughes cuts to the chase and calls these reactionaries in progressive clothing “neoracists”. They are. What else would one call them?

They are race-obsessed. They view any human interaction as a racial power-struggle, and compound it with any number of further “intersectional” power-struggles

They see group identity as determinative everywhere; and therefore want to intervene everywhere, to discriminate against whites and successful non-whites in favor of unsuccessful non-whites

Individual rights? They come second to group identity.

The old black-white paradigm to which so many are still attached has been superseded by the kaleidoscope society, in which “race” is almost always mixed, complicated, or one difference among many.

Political power? Blacks, who are about 14 percent of population, are represented proportionally in the House — covering 29 states — and can claim the last two-term president, the current vice president, the House minority leader, the secretary of defense, the chairman of the Joint Chiefs, the mayors of the four most populous cities last year, and more than a fifth of SCOTUS.

So do we do nothing? Not at all. In fact, blaming an abstraction — “white supremacy” — takes us backwards practically and analytically. Hughes advocates for color-blind processes wherever possible: blind grading in schools and colleges; or hiring policies that remove names from applications to deter racism.

the implosion of bad ideas is not the same as the resuscitation of good ones. What Hughes has done in this book is remind us what we already knew: that racism and neoracism are two sides of the same collectivist coin, and that treating everyone regardless of race is the only feasible way forward for a multiracial America, just as it is the only morally defensible regime that can actually counter and erode racial hatred. The proof is in our past progress. But the potential for multi-racial individualism is as unknowable as it is exhilarating.

Trump and Leo, a prominent conservative lawyer influential in his first term, have not spoken since 2020, according to people familiar with the matter. Their relationship ended over a heated fight in 2020 at Mar-a-Lago, where Trump accused Leo of picking Rod J. Rosenstein to be deputy attorney general, a person familiar with the matter said. Trump’s anger around Rosenstein centered on his decision to appoint special counsel Robert S. Mueller III to oversee the Justice Department’s probe of Russian interference in the 2016 election

Most members of the Federalist Society board of directors declined to comment on the record or did not respond to a request for comment. Interviews with a dozen other prominent lawyers suggested most had serious misgivings about Trump returning to power but were resigned to the high likelihood he will be the nominee, and many expressed openness to working for another Trump administration.

“He’s the leading candidate, so I don’t know that it matters what I think,” said Brent O. Hatch, a lawyer who is on the board of the Federalist Society.

Although Trump reshaped the Supreme Court while in office, leading to the overturning of Roe, he has sometimes told others that the decision is a political albatross for Republicans. And he has complained recently at rallies about the Supreme Court and the decisions the judges make, saying without evidence they rule too often against Republicans to show “independence.”

Trump is running on a campaign focused, at least in part, on vengeance and retribution. The former president has made it clear that loyalty would be a key criteria in how he makes decisions if returned to office.

Trump has signaled that he wants the Justice Department to go after his political opponents, and his associates have drafted plans to invoke the Insurrection Act on his first day in office, which would allow him to send the military against civil demonstrations. Near the end of his time in the White House, he repeatedly complained that his White House Counsel’s Office wasn’t doing enough to help him overturn the election results. His attorney general resigned after he would not back up his claims.

There is a heated debate underway in conservative legal circles about how GOP lawyers should interact with what increasingly appears to be the likely nominee, according to conservative lawyers who described the private talks on the condition of anonymity. The discussions include whether they would return to work for Trump.

One prominent lawyer described a November dinner he attended where almost all the attorneys in the room said they would prefer another nominee — but were split on whether to back Trump if he wins

Leo, McConnell and McGahn have expressed reservations about what another Trump term would look like, though they have largely stayed away from a public fight.

Some of the informal conversations and debates underway in conservative legal circles about a second Trump term include Project 2025, a coalition of right-wing groups that has outlined plans for the next Republican administration. Clark, who is working on the Insurrection Act for Project 2025, has been charged with violating Georgia’s anti-racketeering law, in the case alleging Trump and co-conspirators of interfering in the 2020 election. Clark pleaded guilty.

The involvement of Clark with that effort has alarmed some other conservative lawyers who view him as a potentially disastrous choice to take a senior leadership role at the department because of his past activities around the 2020 election.

Rob Kelner, a prominent conservative lawyer, said more conservative lawyers should have spoken up against Trump, but that it would cost them business and relationships.

“There were so many positions he took and so many statements that he made that flatly contradicted the foundational principles of the conservative movement and the Federalist Society, and yet it was so rare to hear conservative lawyers speak out against Trump,” Kelner said.

Mensch said his new model cost less than €20 million, the equivalent of roughly $22 million, to train. By contrast OpenAI Chief Executive Sam Altman said last year after the release of GPT-4 that training his company’s biggest models cost “much more than” $50 million to $100 million.

Brave Software made a free, open-source model from Mistral the default to power its web-browser chatbot, said Brian Bondy, Brave’s co-founder and chief technology officer. He said that the company finds the quality comparable with proprietary models, and Mistral’s open-source approach also lets Brave control the model locally.

“We want to be the most capital-efficient company in the world of AI,” Mensch said. “That’s the reason we exist.” 

Mensch joined the Google AI unit then called DeepMind in late 2020, where he worked on the team building so-called large language models, the type of AI system that would later power ChatGPT. By 2022, he was one of the lead authors of a paper about a new AI model called Chinchilla, which changed the field’s understanding of the relationship among the size of an AI model, how much data is used to build it and how well it performs, known as AI scaling laws.

Mensch took a role lobbying French policymakers, including French President Emmanuel Macron, against certain elements of the European Union’s new AI Act, which Mensch warned could slow down companies and would, in his view, do nothing to make AI safer. After changes to the text in Brussels, it will be a manageable burden for Mistral, Mensch says, even if he thinks the law should have remained focused on how AI is used rather than also regulating the underlying technology.  

For Mensch and his co-founders, releasing their initial AI systems as open source that anyone could use or adapt free of charge was an important principle. It was also a way to get noticed by developers and potential clients eager for more control over the AI they use

Mistral’s most advanced models, including the one unveiled Monday, aren’t available open source. 

“What Putin wants is to transform the world order” that evolved since World War II and the post-Cold War — where “the competition between nations was about who can be richer and who can help their people prosper the most . … Putin hates that world because he loses in that world — his system is a loser in a peaceful, global, wealth-enhancing paradigm. And so what he wants is to move us back to dog-eat-dog, to a 19th-century, great power competition, because he thinks he can, if not win, be more effective there. … Let’s not think that this is a Ukrainian problem; this is a problem for us all.”

These wars very much are our business — and now clearly inescapable, since we’re deeply entwined in both conflicts. What’s crucial to keep in mind about America — as the leader of the Inclusion Network — is that right now we’re fighting the war in Ukraine on our terms, but we’re fighting the war in the Middle East on Iran’s terms.

CNN recently described, per a source familiar with it, a declassified U.S. intelligence assessment provided to Congress saying that Russia had lost 87 percent of its preinvasion active-duty ground troops and two-thirds of its tanks that it had prior to its invasion of Ukraine. Putin can still inflict a lot of damage on Ukraine with missiles, but his dream of occupying the whole country and using it as a launching pad to threaten the Inclusion Network — particularly the NATO-protected European Union — is now out of reach. Thank you, Kyiv.

At a breakfast with NATO leaders devoted to the Ukraine issue at Davos this year, Canada’s deputy prime minister, Chrystia Freeland, noted that it is we, the West, who should be thanking the Ukrainians, not forcing them to beg us for more weapons.

China under President Xi Jinping straddles the two networks, along with much of what’s come to be called the global south. Their hearts, and often pocketbooks, are with the Resistors but their heads are with the Includers

the Resistance Network “is orchestrated by Iran, Islamists and jihadists” in a process they refer to as the “unity of battlefields.” This network, he noted, “seeks to bridge militias, rejectionists, religious sects and sectarian leaders,” creating an anti-Israel, anti-American, anti-Western axis that can simultaneously pressure Israel in Gaza, in the West Bank and on the Lebanon border — as well as America in the Red Sea, in Syria and in Iraq and Saudi Arabia from all directions.

In stark contrast, Koteich said, stands the Inclusion Network, one that’s focused on “weaving together” global and regional markets instead of battlefronts, business conferences, news organizations, elites, hedge funds, tech incubators and major trade routes. This inclusion network, he added, “transcends traditional boundaries, creating a web of economic and technological interdependence that has the potential to redefine power structures and create new paradigms of regional stability.”

things are different in the Middle East. There, it is Iran that is sitting back comfortably — indirectly at war with Israel and America, and sometimes Saudi Arabia, by fighting through Tehran’s proxies: Hamas in Gaza, the Houthis in Yemen, Hezbollah in Lebanon and Syria, and Shiite militias in Iraq.

Iran is reaping all the benefits and paying virtually no cost for the work of its proxies, and the U.S., Israel and their tacit Arab allies have not yet manifested the will or the way to pressure Iran back — without getting into a hot war, which they all want to avoid.

The members of the Resistance Network are great at tearing down and breaking stuff, but, unlike the Inclusion Network, they have shown no capacity to build any government or society to which anyone would want to emigrate, let alone emulate

For all of these reasons, this is a moment of great peril as well as great opportunity — especially for Israel. The competition between the Resistance Network and the Inclusion Network means that the region has never been more hostile or more hospitable to accepting a Jewish state.

Everywhere, new investment in green energy generation is being propelled by general concern for the climate, shifting corporate and household demand, the plunging prices for solar and batteries triggered by Chinese policy, and a combination of national and regional interventions

How different would we expect this data to look without the IRA?

The most useful overview of these modeling efforts that I have been able to find is by Bistline et al “Power sector impacts of the Inflation Reduction Act of 2022” in Environmental Research Letters November 2023. If anyone has a better source, please let me know.

The top panel shows the historical trajectory of US generating capacity from 1980 to 2021. The second half of the graphic shows how 11 different models predict that the US electricity system might be expected to develop up to 2035, with and without IRA.

all the models expect the trends of the 2010s to continue through to the 2030s which means that solar, wind and battery storage dominate America’s energy future. Even without the IRA, the low carbon share of electricity generation will likely rise to 50-55% by 2035. Bidenomics bumps that to 70-80 percent.

The question is: “How does the renewable surge of 2022-2024, compare to the model-based expectations, with and without the IRA?”

The answer is either, “so so”, or, more charitably, it is “too early to tell”. In broad terms the current rate of expansion is slightly above the rate the models predict without the provision of additional Bidenomics incentives. But what is also clear is that the current rate of expansion, is far short of the long-run pace that should be expected from the IRA

At this point, defenders of the IRA interject that the IRA has only just come into effect. Cash from the IRA is only beginning to flow. And in an environment of higher costs for renewable energy equipment and higher interest rates, cash matters.

As Yakov Feygin put it: “Maybe the pithiest way to put it is that there are pre-IRA trends and outside IRA trends, but IRA has served to rapidly compress the timeframes for installation in a lot of technologies. So five years has turned into two, for example.”

So, to judge the impact of the IRA to date, the real question is not what has been built in 2022 and 2023, but what is in the pipeline.

Advised by JP Morgan, sophisticated global players like Ørsted are optimizing their use of both the production and investment tax credits offered by the IRA to launch large new renewable schemes. Of course, correlation is not the same as causation

Where the IRA is perhaps doing its most important work may be in incentivizing the middle bracket of projects where green momentum is less certain.

According to Utility Drive: “The 10 largest U.S. developers plan to build 110,364 MW of new wind and solar projects over the next five years, according to S&P Global Market Intelligence, but the majority of these projects remain in early stages of development. Just 15% of planned wind and solar projects are under construction, and 13% are considered to be in advanced stages of development, … ”

The states that I have highlighted in red stand out either for their unusually low existing level of renewable power capacity or their lack of current momentum.

Along with Texas, the pipelines for the PJM, MISO and Southeast regions (which includes Florida) look particularly healthy.

The relatively modest California numbers should not be a surprise. As Yakov Feygin and others pointed out, what is needed in California is not more raw generating capacity, but more battery storage. And that is what we are seeing in the data.

The numbers would be even larger if it were not for the truly surreal logjam in California’s system for authorizing interconnections. According to Hamilton/Brookings data the volume of hybrid solar and batter capacity in the queue for approval is 6.5 times the capacity currently operating in the state. In other words there is an entire energy transition waiting to happen when the overloaded managerial processes of the system catch up

Texas’s less bureaucratic system seems to be one of its key advantages in the extremely rapid roll-out of solar.

though it may be true that globally speaking the United States as a whole is a laggard in renewable energy development,

If California (with an economy roughly comparable to that of Germany at current exchange rates) and Texas (with an economy roughly the size of Italy’s) were countries, they would be #3 and #5 in the world in solar capacity per capita.

the obvious question is, which are the laggards in the US energy system.

So there is a lot to get excited about, at, what we are learning to call, the “meso”-level of the economy (more on this in a future post).

What the state-level data reveal is that there are a significant number of large states in the USA where solar and wind energy have barely made any impact. Pennsylvania, for instance

The relative levels of sunshine between US states is irrelevant. As the global solar atlas shows, the entire United States has far better solar potential than North West Europe. If you can grow corn and tobbaco, you can do utility-scale solar. The fact that Arizona is not a solar giant is mind boggling.

Texas is both big and truly remarkable. California already is a world leader in renewable energy. Meanwhile, the majority of the US electricity system presents a very different picture. There is a huge distance to be traveled and the pace of solar build-out is unremarkable.

This is where national level incentives like the IRA must prove themselves

And these local battles in America matter. Given the extremely high per capita energy consumption in the USA, greening state-level energy systems is significant at the global level. It does not compare to the super-sized levels of emissions in China, but it matters.

Indonesia’s total installed electricity generating capacity is rated at 81 GW. As far as immediate impact on the global carbon balance is concerned, cleaning up the power systems of Pennsylvania and Illinois would make an even bigger impact.

A key test of Biden-era climate and industrial policy will be whether it can untie the local political economy of fossil fuels, which, across many regions of the United States still stands in the way of a green energy transition that now has all the force of economics and technological advantage on its side.

“Over 80 technical papers published since January 2022,” LeCun responded. “What about you?”

To which Musk posted: “That’s nothing, you’re going soft. Try harder!

At stake are the hearts and minds of AI experts—academic and otherwise—needed to usher in the technology

“Join xAI,” LeCun wrote, “if you can stand a boss who:– claims that what you are working on will be solved next year (no pressure).– claims that what you are working on will kill everyone and must be stopped or paused (yay, vacation for 6 months!).– claims to want a ‘maximally rigorous pursuit of the truth’ but spews crazy-ass conspiracy theories on his own social platform.”

Some read Musk’s “science” dig as dismissing the role research has played for a generation of AI experts. For years, the Metas and Googles of the world have hired the top minds in AI from universities, indulging their desires to keep a foot in both worlds by allowing them to release their research publicly, while also trying to deploy products. 

For an academic such as LeCun, published research, whether peer-reviewed or not, allowed ideas to flourish and reputations to be built, which in turn helped build stars in the system.

LeCun has been at Meta since 2013 while serving as an NYU professor since 2003. His tweets suggest he subscribes to the philosophy that one’s work needs to be published—put through the rigors of being shown to be correct and reproducible—to really be considered science. 

“If you do research and don’t publish, it’s not Science,” he posted in a lengthy tweet Tuesday rebutting Musk. “If you never published your research but somehow developed it into a product, you might die rich,” he concluded. “But you’ll still be a bit bitter and largely forgotten.” 

After pushback, he later clarified in another post: “What I *AM* saying is that science progresses through the collision of ideas, verification, analysis, reproduction, and improvements. If you don’t publish your research *in some way* your research will likely have no impact.”

The spat inspired debate throughout the scientific community. “What is science?” Nature, a scientific journal, asked in a headline about the dust-up.

Others, such as Palmer Luckey, a former Facebook executive and founder of Anduril Industries, a defense startup, took issue with LeCun’s definition of science. “The extreme arrogance and elitism is what people have a problem with,” he tweeted.

For Musk, who prides himself on his physics-based viewpoint and likes to tout how he once aspired to work at a particle accelerator in pursuit of the universe’s big questions, LeCun’s definition of science might sound too ivory-tower. 

Musk has blamed universities for helping promote what he sees as overly liberal thinking and other symptoms of what he calls the Woke Mind Virus. 

Over the years, an appeal of working for Musk has been the impression that his companies move quickly, filled with engineers attracted to tackling hard problems and seeing their ideas put into practice.

“I’ve teamed up with Elon to see if we can actually apply these new technologies to really make a dent in our understanding of the universe,” Igor Babuschkin, an AI expert who worked at OpenAI and Google’s DeepMind, said last year as part of announcing xAI’s mission. 

The creation of xAI quickly sent ripples through the AI labor market, with one rival complaining it was hard to compete for potential candidates attracted to Musk and his reputation for creating value

that was before xAI’s latest round raised billions of dollars, putting its valuation at $24 billion, kicking off a new recruiting drive. 

It was already a seller’s market for AI talent, with estimates that there might be only a couple hundred people out there qualified to deal with certain pressing challenges in the industry and that top candidates can easily earn compensation packages worth $1 million or more

Since the launch, Musk has been quick to criticize competitors for what he perceived as liberal biases in rival AI chatbots. His pitch of xAI being the anti-woke bastion seems to have worked to attract some like-minded engineers.

As for Musk’s final response to LeCun’s defense of research, he posted a meme featuring Pepé Le Pew that read: “my honest reaction.”

Dr. Shi’s group was fascinated by how coronaviruses jump from species to species. To find viruses, they took samples from bats and other animals, as well as from sick people living near animals carrying these viruses or associated with the wildlife trade. Much of this work was conducted in partnership with the EcoHealth Alliance, a U.S.-based scientific organization that, since 2002, has been awarded over $80 million in federal funding to research the risks of emerging infectious diseases.

Their research showed that the viruses most similar to SARS‑CoV‑2, the virus that caused the pandemic, circulate in bats that live roughly 1,000 miles away from Wuhan. Scientists from Dr. Shi’s team traveled repeatedly to Yunnan province to collect these viruses and had expanded their search to Southeast Asia. Bats in other parts of China have not been found to carry viruses that are as closely related to SARS-CoV-2.

When the Covid-19 outbreak was detected, Dr. Shi initially wondered if the novel coronavirus had come from her laboratory, saying she had never expected such an outbreak to occur in Wuhan.

The SARS‑CoV‑2 virus is exceptionally contagious and can jump from species to species like wildfire. Yet it left no known trace of infection at its source or anywhere along what would have been a thousand-mile journey before emerging in Wuhan.

The year before the outbreak, the Wuhan institute, working with U.S. partners, had proposed creating viruses with SARS‑CoV‑2’s defining feature

The laboratory pursued risky research that resulted in viruses becoming more infectious: Coronaviruses were grown from samples from infected animals and genetically reconstructed and recombined to create new viruses unknown in nature. These new viruses were passed through cells from bats, pigs, primates and humans and were used to infect civets and humanized mice (mice modified with human genes). In essence, this process forced these viruses to adapt to new host species, and the viruses with mutations that allowed them to thrive emerged as victors.

Worse still, as the pandemic raged, their American collaborators failed to publicly reveal the existence of the Defuse proposal. The president of EcoHealth, Peter Daszak, recently admitted to Congress that he doesn’t know about virus samples collected by the Wuhan institute after 2015 and never asked the lab’s scientists if they had started the work described in Defuse.

By 2019, Dr. Shi’s group had published a database describing more than 22,000 collected wildlife samples. But external access was shut off in the fall of 2019, and the database was not shared with American collaborators even after the pandemic started, when such a rich virus collection would have been most useful in tracking the origin of SARS‑CoV‑2. It remains unclear whether the Wuhan institute possessed a precursor of the pandemic virus.

In 2021, The Intercept published a leaked 2018 grant proposal for a research project named Defuse, which had been written as a collaboration between EcoHealth, the Wuhan institute and Ralph Baric at the University of North Carolina, who had been on the cutting edge of coronavirus research for years. The proposal described plans to create viruses strikingly similar to SARS‑CoV‑2.

Coronaviruses bear their name because their surface is studded with protein spikes, like a spiky crown, which they use to enter animal cells. The Defuse project proposed to search for and create SARS-like viruses carrying spikes with a unique feature: a furin cleavage site — the same feature that enhances SARS‑CoV‑2’s infectiousness in humans, making it capable of causing a pandemic. Defuse was never funded by the United States.

owever, in his testimony on Monday, Dr. Fauci explained that the Wuhan institute would not need to rely on U.S. funding to pursue research independently.

While it’s possible that the furin cleavage site could have evolved naturally (as seen in some distantly related coronaviruses), out of the hundreds of SARS-like viruses cataloged by scientists, SARS‑CoV‑2 is the only one known to possess a furin cleavage site in its spike. And the genetic data suggest that the virus had only recently gained the furin cleavage site before it started the pandemic.

Ultimately, a never-before-seen SARS-like virus with a newly introduced furin cleavage site, matching the description in the Wuhan institute’s Defuse proposal, caused an outbreak in Wuhan less than two years after the proposal was drafted.

When the Wuhan scientists published their seminal paper about Covid-19 as the pandemic roared to life in 2020, they did not mention the virus’s furin cleavage site — a feature they should have been on the lookout for, according to their own grant proposal, and a feature quickly recognized by other scientists.

At the Wuhan Institute of Virology, a team of scientists had been hunting for SARS-like viruses for over a decade, led by Shi Zhengl

In May, citing failures in EcoHealth’s monitoring of risky experiments conducted at the Wuhan lab, the Biden administration suspended all federal funding for the organization and Dr. Daszak, and initiated proceedings to bar them from receiving future grants. In his testimony on Monday, Dr. Fauci said that he supported the decision to suspend and bar EcoHealth.

Separately, Dr. Baric described the competitive dynamic between his research group and the institute when he told Congress that the Wuhan scientists would probably not have shared their most interesting newly discovered viruses with him. Documents and email correspondence between the institute and Dr. Baric are still being withheld from the public while their release is fiercely contested in litigation.

In the end, American partners very likely knew of only a fraction of the research done in Wuhan. According to U.S. intelligence sources, some of the institute’s virus research was classified or conducted with or on behalf of the Chinese military.

In the congressional hearing on Monday, Dr. Fauci repeatedly acknowledged the lack of visibility into experiments conducted at the Wuhan institute, saying, “None of us can know everything that’s going on in China, or in Wuhan, or what have you. And that’s the reason why — I say today, and I’ve said at the T.I.,” referring to his transcribed interview with the subcommittee, “I keep an open mind as to what the origin is.”

The Wuhan lab pursued this type of work under low biosafety conditions that could not have contained an airborne virus as infectious as SARS‑CoV‑2.

Labs working with live viruses generally operate at one of four biosafety levels (known in ascending order of stringency as BSL-1, 2, 3 and 4) that describe the work practices that are considered sufficiently safe depending on the characteristics of each pathogen. The Wuhan institute’s scientists worked with SARS-like viruses under inappropriately low biosafety conditions.

​​Biosafety levels are not internationally standardized, and some countries use more permissive protocols than others.

In one experiment, Dr. Shi’s group genetically engineered an unexpectedly deadly SARS-like virus (not closely related to SARS‑CoV‑2) that exhibited a 10,000-fold increase in the quantity of virus in the lungs and brains of humanized mice. Wuhan institute scientists handled these live viruses at low biosafety levels, including BSL-2.

Even the much more stringent containment at BSL-3 cannot fully prevent SARS‑CoV‑2 from escaping. Two years into the pandemic, the virus infected a scientist in a BSL-3 laboratory in Taiwan, which was, at the time, a zero-Covid country. The scientist had been vaccinated and was tested only after losing the sense of smell. By then, more than 100 close contacts had been exposed. Human error is a source of exposure even at the highest biosafety levels, and the risks are much greater for scientists working with infectious pathogens at low biosafety.

An early draft of the Defuse proposal stated that the Wuhan lab would do their virus work at BSL-2 to make it “highly cost-effective.” Dr. Baric added a note to the draft highlighting the importance of using BSL-3 to contain SARS-like viruses that could infect human cells, writing that “U.S. researchers will likely freak out.”

Years later, after SARS‑CoV‑2 had killed millions, Dr. Baric wrote to Dr. Daszak: “I have no doubt that they followed state determined rules and did the work under BSL-2. Yes China has the right to set their own policy. You believe this was appropriate containment if you want but don’t expect me to believe it. Moreover, don’t insult my intelligence by trying to feed me this load of BS.”

SARS‑CoV‑2 is a stealthy virus that transmits effectively through the air, causes a range of symptoms similar to those of other common respiratory diseases and can be spread by infected people before symptoms even appear. If the virus had escaped from a BSL-2 laboratory in 2019, the leak most likely would have gone undetected until too late.

One alarming detail — leaked to The Wall Street Journal and confirmed by current and former U.S. government officials — is that scientists on Dr. Shi’s team fell ill with Covid-like symptoms in the fall of 2019. One of the scientists had been named in the Defuse proposal as the person in charge of virus discovery work. The scientists denied having been sick.

The hypothesis that Covid-19 came from an animal at the Huanan Seafood Market in Wuhan is not supported by strong evidence.

In December 2019, Chinese investigators assumed the outbreak had started at a centrally located market frequented by thousands of visitors daily. This bias in their search for early cases meant that cases unlinked to or located far away from the market would very likely have been missed

To make things worse, the Chinese authorities blocked the reporting of early cases not linked to the market and, claiming biosafety precautions, ordered the destruction of patient samples on January 3, 2020, making it nearly impossible to see the complete picture of the earliest Covid-19 cases. Information about dozens of early cases from November and December 2019 remains inaccessible.

A pair of papers published in Science in 2022 made the best case for SARS‑CoV‑2 having emerged naturally from human-animal contact at the Wuhan market by focusing on a map of the early cases and asserting that the virus had jumped from animals into humans twice at the market in 2019

More recently, the two papers have been countered by other virologists and scientists who convincingly demonstrate that the available market evidence does not distinguish between a human superspreader event and a natural spillover at the market.

Furthermore, the existing genetic and early case data show that all known Covid-19 cases probably stem from a single introduction of SARS‑CoV‑2 into people, and the outbreak at the Wuhan market probably happened after the virus had already been circulating in humans.

Not a single infected animal has ever been confirmed at the market or in its supply chain. Without good evidence that the pandemic started at the Huanan Seafood Market, the fact that the virus emerged in Wuhan points squarely at its unique SARS-like virus laboratory.

With today’s technology, scientists can detect how respiratory viruses — including SARS, MERS and the flu — circulate in animals while making repeated attempts to jump across species. Thankfully, these variants usually fail to transmit well after crossing over to a new species and tend to die off after a small number of infections

investigators have not reported finding any animals infected with SARS‑CoV‑2 that had not been infected by humans. Yet, infected animal sources and other connective pieces of evidence were found for the earlier SARS and MERS outbreaks as quickly as within a few days, despite the less advanced viral forensic technologies of two decades ago.

Even though Wuhan is the home base of virus hunters with world-leading expertise in tracking novel SARS-like viruses, investigators have either failed to collect or report key evidence that would be expected if Covid-19 emerged from the wildlife trade. For example, investigators have not determined that the earliest known cases had exposure to intermediate host animals before falling ill.

No antibody evidence shows that animal traders in Wuhan are regularly exposed to SARS-like viruses, as would be expected in such situations.

In previous outbreaks of coronaviruses, scientists were able to demonstrate natural origin by collecting multiple pieces of evidence linking infected humans to infected animals

In contrast, virologists and other scientists agree that SARS‑CoV‑2 required little to no adaptation to spread rapidly in humans and other animals. The virus appears to have succeeded in causing a pandemic upon its only detected jump into humans.

it was a SARS-like coronavirus with a unique furin cleavage site that emerged in Wuhan, less than two years after scientists, sometimes working under inadequate biosafety conditions, proposed collecting and creating viruses of that same design.

a laboratory accident is the most parsimonious explanation of how the pandemic began.

Given what we now know, investigators should follow their strongest leads and subpoena all exchanges between the Wuhan scientists and their international partners, including unpublished research proposals, manuscripts, data and commercial orders. In particular, exchanges from 2018 and 2019 — the critical two years before the emergence of Covid-19 — are very likely to be illuminating (and require no cooperation from the Chinese government to acquire), yet they remain beyond the public’s view more than four years after the pandemic began.

it is undeniable that U.S. federal funding helped to build an unprecedented collection of SARS-like viruses at the Wuhan institute, as well as contributing to research that enhanced them.

Advocates and funders of the institute’s research, including Dr. Fauci, should cooperate with the investigation to help identify and close the loopholes that allowed such dangerous work to occur. The world must not continue to bear the intolerable risks of research with the potential to cause pandemics.

A successful investigation of the pandemic’s root cause would have the power to break a decades-long scientific impasse on pathogen research safety, determining how governments will spend billions of dollars to prevent future pandemics. A credible investigation would also deter future acts of negligence and deceit by demonstrating that it is indeed possible to be held accountable for causing a viral pandemic

Last but not least, people of all nations need to see their leaders — and especially, their scientists — heading the charge to find out what caused this world-shaking event. Restoring public trust in science and government leadership requires it.