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The novel probes how nothing in life is fixed, including the legacies of the dead and the stories we tell about our pas

“The study of history shouldn’t be backward looking,” explains a historian in “Halcyon.” “To matter, it has to take us forward.”

Ackerman was in college on Sept. 11, 2001, but what he remembers more vividly is watching the premiere of the TV miniseries “Band of Brothers” the previous Sunday. “If you wanted to know the zeitgeist in the U.S. at the time, it was this very sentimental view of World War II,” he says. “There was this nostalgia for a time where we’re the good guys, they’re the bad guys, and we’re going to liberate oppressed people.”

Ackerman, who also covers wars and veteran affairs as a journalist, says that America’s backing of Ukraine is essential in the face of what he calls “an authoritarian axis rising up in the world, with China, Russia and Iran.” Were the country to offer similar help to Taiwan in the face of an invasion from China, he notes, having some air bases in nearby Afghanistan would help, but the U.S. gave those up in 2021.

With Islamic fundamentalists now in control of places where he lost friends, he says he is often asked if he regrets his service. “When you are a young man and your country goes to war, you’re presented with a choice: You either fight or you don’t,” he writes in his 2019 memoir “Places and Names.” “I don’t regret my choice, but maybe I regret being asked to choose.”

Serving in the military at a time when wars are no longer generation-defining events has proven alienating for Ackerman. “When you’ve got wars with an all-volunteer military funded through deficit spending, they can go on forever because there are no political costs

The catastrophic withdrawal from Afghanistan in 2021, which Ackerman covers in his recent memoir “The Fifth Act,” compounded this moral injury. “The fact that there has been so little government support for our Afghan allies has left it to vets to literally clean this up,” he says, noting that he still fields requests for help on WhatsApp. He adds that unless lawmakers act, the tens of thousands of Afghans currently living in the U.S. on humanitarian parole will be sent back to Taliban-held Afghanistan later this year: “It’s very painful to see how our allies are treated.”

Looking back on America’s misadventures in Iraq, Afghanistan and elsewhere, he notes that “the stories we tell about war are really important to the decisions we make around war. It’s one reason why storytelling fills me with a similar sense of purpose.”

“We don’t talk about the world and our place in it in a holistic way, or a strategic way,” Ackerman says. “We were telling a story about ending America’s longest war, when the one we should’ve been telling was about repositioning ourselves in a world that’s becoming much more dangerous,” he adds. “Our stories sometimes get us in trouble, and we’re still dealing with that trouble today.”

economist J. Bradford DeLong ’82, Ph.D. ’87, looking back on the twentieth century two decades after its end, comes to a similar conclusion but on different grounds.

DeLong, professor of economics at Berkeley, looks to matters of “contingency” and “choice”: at key junctures the economy suffered “bad luck,” and the actions taken by the responsible policymakers were “incompetent.”

these were “the most consequential years of all humanity’s centuries.” The changes they saw, while in the first instance economic, also “shaped and transformed nearly everything sociological, political, and cultural.”

DeLong’s look back over the twentieth century energetically encompasses political and social trends as well; nor is his scope limited to the United States. The result is a work of strikingly expansive breadth and scope

labeling the book an economic history fails to convey its sweeping frame.

The century that is DeLong’s focus is what he calls the “long twentieth century,” running from just after the Civil War to the end of the 2000s when a series of events, including the biggest financial crisis since the 1930s followed by likewise the most severe business downturn, finally rendered the advanced Western economies “unable to resume economic growth at anything near the average pace that had been the rule since 1870.

d behind those missteps in policy stood not just failures of economic thinking but a voting public that reacted perversely, even if understandably, to the frustrations poor economic outcomes had brought them.

Within this 140-year span, DeLong identifies two eras of “El Dorado” economic growth, each facilitated by expanding globalization, and each driven by rapid advances in technology and changes in business organization for applying technology to economic ends

from 1870 to World War I, and again from World War II to 197

fellow economist Robert J. Gordon ’62, who in his monumental treatise on The Rise and Fall of American Economic Growth (reviewed in “How America Grew,” May-June 2016, page 68) hailed 1870-1970 as a “special century” in this regard (interrupted midway by the disaster of the 1930s).

Gordon highlighted the role of a cluster of once-for-all-time technological advances—the steam engine, railroads, electrification, the internal combustion engine, radio and television, powered flight

Pessimistic that future technological advances (most obviously, the computer and electronics revolutions) will generate productivity gains to match those of the special century, Gordon therefore saw little prospect of a return to the rapid growth of those halcyon days.

DeLong instead points to a series of noneconomic (and non-technological) events that slowed growth, followed by a perverse turn in economic policy triggered in part by public frustration: In 1973 the OPEC cartel tripled the price of oil, and then quadrupled it yet again six years later.

For all too many Americans (and citizens of other countries too), the combination of high inflation and sluggish growth meant that “social democracy was no longer delivering the rapid progress toward utopia that it had delivered in the first post-World War II generation.”

Frustration over these and other ills in turn spawned what DeLong calls the “neoliberal turn” in public attitudes and economic policy. The new economic policies introduced under this rubric “did not end the slowdown in productivity growth but reinforced it.

the tax and regulatory changes enacted in this new climate channeled most of what economic gains there were to people already at the top of the income scale

Meanwhile, progressive “inclusion” of women and African Americans in the economy (and in American society more broadly) meant that middle- and lower-income white men saw even smaller gains—and, perversely, reacted by providing still greater support for policies like tax cuts for those with far higher incomes than their own.

Daniel Bell’s argument in his 1976 classic The Cultural Contradictions of Capitalism. Bell famously suggested that the very success of a capitalist economy would eventually undermine a society’s commitment to the values and institutions that made capitalism possible in the first plac

In DeLong’s view, the “greatest cause” of the neoliberal turn was “the extraordinary pace of rising prosperity during the Thirty Glorious Years, which raised the bar that a political-economic order had to surpass in order to generate broad acceptance.” At the same time, “the fading memory of the Great Depression led to the fading of the belief, or rather recognition, by the middle class that they, as well as the working class, needed social insurance.”

what the economy delivered to “hard-working white men” no longer matched what they saw as their just deserts: in their eyes, “the rich got richer, the unworthy and minority poor got handouts.”

As Bell would have put it, the politics of entitlement, bred by years of economic success that so many people had come to take for granted, squeezed out the politics of opportunity and ambition, giving rise to the politics of resentment.

The new era therefore became “a time to question the bourgeois virtues of hard, regular work and thrift in pursuit of material abundance.”

DeLong’s unspoken agenda would surely include rolling back many of the changes made in the U.S. tax code over the past half-century, as well as reinvigorating antitrust policy to blunt the dominance, and therefore outsize profits, of the mega-firms that now tower over key sectors of the economy

He would also surely reverse the recent trend moving away from free trade. Central bankers should certainly behave like Paul Volcker (appointed by President Carter), whose decisive action finally broke the 1970s inflation even at considerable economic cost

Not only Galbraith’s main themes but many of his more specific observations as well seem as pertinent, and important, today as they did then.

What will future readers of Slouching Towards Utopia conclude?

If anything, DeLong’s narratives will become more valuable as those events fade into the past. Alas, his description of fascism as having at its center “a contempt for limits, especially those implied by reason-based arguments; a belief that reality could be altered by the will; and an exaltation of the violent assertion of that will as the ultimate argument” will likely strike a nerve with many Americans not just today but in years to come.

what about DeLong’s core explanation of what went wrong in the latter third of his, and our, “long century”? I predict that it too will still look right, and important.

In November 2020, the AI group DeepMind announced it had developed a program called AlphaFold that could rapidly predict this information using an algorithm. Since then, it has been crunching through the genetic codes of every organism that has had its genome sequenced, and predicting the structures of the hundreds of millions of proteins they collectively contain.

Last year, DeepMind published the protein structures for 20 species – including nearly all 20,000 proteins expressed by humans – on an open database. Now it has finished the job, and released predicted structures for more than 200m proteins.

“Essentially, you can think of it as covering the entire protein universe. It includes predictive structures for plants, bacteria, animals, and many other organisms, opening up huge new opportunities for AlphaFold to have an impact on important issues, such as sustainability, food insecurity, and neglected diseases,”

In May, researchers led by Prof Matthew Higgins at the University of Oxford announced they had used AlphaFold’s models to help determine the structure of a key malaria parasite protein, and work out where antibodies that could block transmission of the parasite were likely to bind.

“Previously, we’d been using a technique called protein crystallography to work out what this molecule looks like, but because it’s quite dynamic and moves around, we just couldn’t get to grips with it,” Higgins said. “When we took the AlphaFold models and combined them with this experimental evidence, suddenly it all made sense. This insight will now be used to design improved vaccines which induce the most potent transmission-blocking antibodies.”

AlphaFold’s models are also being used by scientists at the University of Portsmouth’s Centre for Enzyme Innovation, to identify enzymes from the natural world that could be tweaked to digest and recycle plastics. “It took us quite a long time to go through this massive database of structures, but opened this whole array of new three-dimensional shapes we’d never seen before that could actually break down plastics,” said Prof John McGeehan, who is leading the work. “There’s a complete paradigm shift. We can really accelerate where we go from here

“AlphaFold protein structure predictions are already being used in a myriad of ways. I expect that this latest update will trigger an avalanche of new and exciting discoveries in the months and years ahead, and this is all thanks to the fact that the data are available openly for all to use.”

Musk’s concern with bots isn’t only a bullshit tactic he’s using to snake out of a bad business deal and/or get a better price for Twitter; it’s also a great example of his shallow thinking. The man has at least some ability to oversee complex engineering systems that land rockets, but his narcissism affords him a two-dimensional understanding of the way information travels across social media.

He is drawn to the conspiratorial nature of bots and information manipulation, because it is a more exciting and easier-to-understand solution to more complex or uncomfortable problems. Instead of facing the reality that many people dislike him as a result of his personality, behavior, politics, or shitty management style, he blames bots. Rather than try to understand the gnarly mechanics and hard-to-solve problems of democratized speech, he sorts them into overly simplified boxes like censorship and spam and then casts himself as the crusading hero who can fix it all. But he can’t and won’t, because he doesn’t care enough to find the answers.

Musk isn’t playing chess or even checkers. He’s just the richest man in the world, bored, mad, and posting like your great-uncle.

Essentially, Lasch was attacking the notion, fashionable as Americans basked in their seeming victory over the Soviet Union in the Cold War, that history had a direction — and that one would be wise to stay on the “right side” of it.

Francis Fukuyama expressed a version of this triumphalist idea in his famous 1992 book, “The End of History and the Last Man,” in which he celebrated the notion that History with a capital “H,” in the sense of a battle between competing ideas, was ending with communism left to smolder on Ronald Reagan’s famous ash heap.

One of Martin Luther King Jr.’s most frequently quoted lines speaks to a similar thought, albeit in a different context: “T​he arc of the moral universe is long, but it bends toward justice.” Though he had read Lasch, Obama quoted that line often, just as he liked to say that so-and-so would be “on the wrong side of history” if they didn’t live up to his ideals — whether the issue was same-sex marriage, health policy or the Russian occupation of Crimea.

The memo goes on to list two sets of words: “Optimistic Positive Governing Words” and “Contrasting Words,” which carried negative connotations. One of the latter group was the word “liberal,” sandwiched between “intolerant” and “lie.”

So what’s the difference between a progressive and a liberal?To vastly oversimplify matters, liberal usually refers to someone on the center-left on a two-dimensional political spectrum, while progressive refers to someone further left.

But “liberal” has taken a beating in recent decades — from both left and right.

In the late 1980s and 1990s, Republicans successfully demonized the word “liberal,” to the point where many Democrats shied away from it in favor of labels like “conservative Democrat” or, more recently, “progressive.”

“Is the story of the 20th century about the defeat of the Soviet Union, or was it about two world wars and a Holocaust?” asked Matthew Sitman, the co-host of the “Know Your Enemy” podcast, which recently hosted a discussion on Lasch and the fascination many conservatives have with his ideas. “It really depends on how you look at it.”

None of this was an accident. In 1996, Representative Newt Gingrich of Georgia circulated a now-famous memo called “Language: A Key Mechanism of Control.”

The authors urged their readers: “The words and phrases are powerful. Read them. Memorize as many as possible.”

Republicans subsequently had a great deal of success in associating the term “liberal” with other words and phrases voters found uncongenial: wasteful spending, high rates of taxation and libertinism that repelled socially conservative voters.

Many on the left began identifying themselves as “progressive” — which had the added benefit of harking back to movements of the late 19th and early 20th centuries that fought against corruption, opposed corporate monopolies, pushed for good-government reforms and food safety and labor laws and established women’s right to vote.

Allies of Bill Clinton founded the Progressive Policy Institute, a think tank associated with so-called Blue Dog Democrats from the South.

Now, scrambling the terminology, groups like the Progressive Change Campaign Committee agitate on behalf of proudly left-wing candidates

In 2014, Charles Murray, the polarizing conservative scholar, urged readers of The Wall Street Journal’s staunchly right-wing editorial section to “start using ‘liberal’ to designate the good guys on the left, reserving ‘progressive’ for those who are enthusiastic about an unrestrained regulatory state.”

As Sanders and acolytes like Representative Alexandria Ocasio-Cortez of New York have gained prominence over the last few election cycles, many on the left-wing end of the spectrum have begun proudly applying other labels to themselves, such as “democratic socialist.”

To little avail so far, Kazin, the Georgetown historian, has been urging them to call themselves “social democrats” instead — as many mainstream parties do in Europe.“It’s not a good way to win elections in this country, to call yourself a socialist,” he said.

The complaint — filed last month with the Securities and Exchange Commission and the Department of Justice, as well as the FTC — says thousands of employees still had wide-ranging and poorly tracked internal access to core company software, a situation that for years had led to embarrassing hacks, including the commandeering of accounts held by such high-profile users as Elon Musk and former presidents Barack Obama and Donald Trump.

the whistleblower document alleges the company prioritized user growth over reducing spam, though unwanted content made the user experience worse. Executives stood to win individual bonuses of as much as $10 million tied to increases in daily users, the complaint asserts, and nothing explicitly for cutting spam.

Chief executive Parag Agrawal was “lying” when he tweeted in May that the company was “strongly incentivized to detect and remove as much spam as we possibly can,” the complaint alleges.

Zatko described his decision to go public as an extension of his previous work exposing flaws in specific pieces of software and broader systemic failings in cybersecurity. He was hired at Twitter by former CEO Jack Dorsey in late 2020 after a major hack of the company’s systems.

“I felt ethically bound. This is not a light step to take,” said Zatko, who was fired by Agrawal in January. He declined to discuss what happened at Twitter, except to stand by the formal complaint. Under SEC whistleblower rules, he is entitled to legal protection against retaliation, as well as potential monetary rewards.

“Security and privacy have long been top companywide priorities at Twitter,” said Twitter spokeswoman Rebecca Hahn. She said that Zatko’s allegations appeared to be “riddled with inaccuracies” and that Zatko “now appears to be opportunistically seeking to inflict harm on Twitter, its customers, and its shareholders.” Hahn said that Twitter fired Zatko after 15 months “for poor performance and leadership.” Attorneys for Zatko confirmed he was fired but denied it was for performance or leadership.

A person familiar with Zatko’s tenure said the company investigated Zatko’s security claims during his time there and concluded they were sensationalistic and without merit. Four people familiar with Twitter’s efforts to fight spam said the company deploys extensive manual and automated tools to both measure the extent of spam across the service and reduce it.

Overall, Zatko wrote in a February analysis for the company attached as an exhibit to the SEC complaint, “Twitter is grossly negligent in several areas of information security. If these problems are not corrected, regulators, media and users of the platform will be shocked when they inevitably learn about Twitter’s severe lack of security basics.”

Zatko’s complaint says strong security should have been much more important to Twitter, which holds vast amounts of sensitive personal data about users. Twitter has the email addresses and phone numbers of many public figures, as well as dissidents who communicate over the service at great personal risk.

This month, an ex-Twitter employee was convicted of using his position at the company to spy on Saudi dissidents and government critics, passing their information to a close aide of Crown Prince Mohammed bin Salman in exchange for cash and gifts.

Zatko’s complaint says he believed the Indian government had forced Twitter to put one of its agents on the payroll, with access to user data at a time of intense protests in the country. The complaint said supporting information for that claim has gone to the National Security Division of the Justice Department and the Senate Select Committee on Intelligence. Another person familiar with the matter agreed that the employee was probably an agent.

“Take a tech platform that collects massive amounts of user data, combine it with what appears to be an incredibly weak security infrastructure and infuse it with foreign state actors with an agenda, and you’ve got a recipe for disaster,” Charles E. Grassley (R-Iowa), the top Republican on the Senate Judiciary Committee,

Many government leaders and other trusted voices use Twitter to spread important messages quickly, so a hijacked account could drive panic or violence. In 2013, a captured Associated Press handle falsely tweeted about explosions at the White House, sending the Dow Jones industrial average briefly plunging more than 140 points.

After a teenager managed to hijack the verified accounts of Obama, then-candidate Joe Biden, Musk and others in 2020, Twitter’s chief executive at the time, Jack Dorsey, asked Zatko to join him, saying that he could help the world by fixing Twitter’s security and improving the public conversation, Zatko asserts in the complaint.

In 1998, Zatko had testified to Congress that the internet was so fragile that he and others could take it down with a half-hour of concentrated effort. He later served as the head of cyber grants at the Defense Advanced Research Projects Agency, the Pentagon innovation unit that had backed the internet’s invention.

But at Twitter Zatko encountered problems more widespread than he realized and leadership that didn’t act on his concerns, according to the complaint.

Twitter’s difficulties with weak security stretches back more than a decade before Zatko’s arrival at the company in November 2020. In a pair of 2009 incidents, hackers gained administrative control of the social network, allowing them to reset passwords and access user data. In the first, beginning around January of that year, hackers sent tweets from the accounts of high-profile users, including Fox News and Obama.

Several months later, a hacker was able to guess an employee’s administrative password after gaining access to similar passwords in their personal email account. That hacker was able to reset at least one user’s password and obtain private information about any Twitter user.

Twitter continued to suffer high-profile hacks and security violations, including in 2017, when a contract worker briefly took over Trump’s account, and in the 2020 hack, in which a Florida teen tricked Twitter employees and won access to verified accounts. Twitter then said it put additional safeguards in place.

This year, the Justice Department accused Twitter of asking users for their phone numbers in the name of increased security, then using the numbers for marketing. Twitter agreed to pay a $150 million fine for allegedly breaking the 2011 order, which barred the company from making misrepresentations about the security of personal data.

After Zatko joined the company, he found it had made little progress since the 2011 settlement, the complaint says. The complaint alleges that he was able to reduce the backlog of safety cases, including harassment and threats, from 1 million to 200,000, add staff and push to measure results.

But Zatko saw major gaps in what the company was doing to satisfy its obligations to the FTC, according to the complaint. In Zatko’s interpretation, according to the complaint, the 2011 order required Twitter to implement a Software Development Life Cycle program, a standard process for making sure new code is free of dangerous bugs. The complaint alleges that other employees had been telling the board and the FTC that they were making progress in rolling out that program to Twitter’s systems. But Zatko alleges that he discovered that it had been sent to only a tenth of the company’s projects, and even then treated as optional.

“If all of that is true, I don’t think there’s any doubt that there are order violations,” Vladeck, who is now a Georgetown Law professor, said in an interview. “It is possible that the kinds of problems that Twitter faced eleven years ago are still running through the company.”

The complaint also alleges that Zatko warned the board early in his tenure that overlapping outages in the company’s data centers could leave it unable to correctly restart its servers. That could have left the service down for months, or even have caused all of its data to be lost. That came close to happening in 2021, when an “impending catastrophic” crisis threatened the platform’s survival before engineers were able to save the day, the complaint says, without providing further details.

One current and one former employee recalled that incident, when failures at two Twitter data centers drove concerns that the service could have collapsed for an extended period. “I wondered if the company would exist in a few days,” one of them said.

The current and former employees also agreed with the complaint’s assertion that past reports to various privacy regulators were “misleading at best.”

For example, they said the company implied that it had destroyed all data on users who asked, but the material had spread so widely inside Twitter’s networks, it was impossible to know for sure

As the head of security, Zatko says he also was in charge of a division that investigated users’ complaints about accounts, which meant that he oversaw the removal of some bots, according to the complaint. Spam bots — computer programs that tweet automatically — have long vexed Twitter. Unlike its social media counterparts, Twitter allows users to program bots to be used on its service: For example, the Twitter account @big_ben_clock is programmed to tweet “Bong Bong Bong” every hour in time with Big Ben in London. Twitter also allows people to create accounts without using their real identities, making it harder for the company to distinguish between authentic, duplicate and automated accounts.

In the complaint, Zatko alleges he could not get a straight answer when he sought what he viewed as an important data point: the prevalence of spam and bots across all of Twitter, not just among monetizable users.

Zatko cites a “sensitive source” who said Twitter was afraid to determine that number because it “would harm the image and valuation of the company.” He says the company’s tools for detecting spam are far less robust than implied in various statements.

“Agrawal’s Tweets and Twitter’s previous blog posts misleadingly imply that Twitter employs proactive, sophisticated systems to measure and block spam bots,” the complaint says. “The reality: mostly outdated, unmonitored, simple scripts plus overworked, inefficient, understaffed, and reactive human teams.”

The four people familiar with Twitter’s spam and bot efforts said the engineering and integrity teams run software that samples thousands of tweets per day, and 100 accounts are sampled manually.

Some employees charged with executing the fight agreed that they had been short of staff. One said top executives showed “apathy” toward the issue.

Zatko’s complaint likewise depicts leadership dysfunction, starting with the CEO. Dorsey was largely absent during the pandemic, which made it hard for Zatko to get rulings on who should be in charge of what in areas of overlap and easier for rival executives to avoid collaborating, three current and former employees said.

For example, Zatko would encounter disinformation as part of his mandate to handle complaints, according to the complaint. To that end, he commissioned an outside report that found one of the disinformation teams had unfilled positions, yawning language deficiencies, and a lack of technical tools or the engineers to craft them. The authors said Twitter had no effective means of dealing with consistent spreaders of falsehoods.

Dorsey made little effort to integrate Zatko at the company, according to the three employees as well as two others familiar with the process who spoke on the condition of anonymity to describe sensitive dynamics. In 12 months, Zatko could manage only six one-on-one calls, all less than 30 minutes, with his direct boss Dorsey, who also served as CEO of payments company Square, now known as Block, according to the complaint. Zatko allegedly did almost all of the talking, and Dorsey said perhaps 50 words in the entire year to him. “A couple dozen text messages” rounded out their electronic communication, the complaint alleges.

Faced with such inertia, Zatko asserts that he was unable to solve some of the most serious issues, according to the complaint.

Some 30 percent of company laptops blocked automatic software updates carrying security fixes, and thousands of laptops had complete copies of Twitter’s source code, making them a rich target for hackers, it alleges.

A successful hacker takeover of one of those machines would have been able to sabotage the product with relative ease, because the engineers pushed out changes without being forced to test them first in a simulated environment, current and former employees said.

“It’s near-incredible that for something of that scale there would not be a development test environment separate from production and there would not be a more controlled source-code management process,” said Tony Sager, former chief operating officer at the cyberdefense wing of the National Security Agency, the Information Assurance divisio

Sager is currently senior vice president at the nonprofit Center for Internet Security, where he leads a consensus effort to establish best security practices.

Zatko stopped the material from being presented at the Dec. 9, 2021 meeting, the complaint said. But over his continued objections, Agrawal let it go to the board’s smaller Risk Committee a week later.

“A best practice is that you should only be authorized to see and access what you need to do your job, and nothing else,” said former U.S. chief information security officer Gregory Touhill. “If half the company has access to and can make configuration changes to the production environment, that exposes the company and its customers to significant risk.”

The complaint says Dorsey never encouraged anyone to mislead the board about the shortcomings, but that others deliberately left out bad news.

The complaint says that about half of Twitter’s roughly 7,000 full-time employees had wide access to the company’s internal software and that access was not closely monitored, giving them the ability to tap into sensitive data and alter how the service worked. Three current and former employees agreed that these were issues.

An unnamed executive had prepared a presentation for the new CEO’s first full board meeting, according to the complaint. Zatko’s complaint calls the presentation deeply misleading.

The presentation showed that 92 percent of employee computers had security software installed — without mentioning that those installations determined that a third of the machines were insecure, according to the complaint.

Another graphic implied a downward trend in the number of people with overly broad access, based on the small subset of people who had access to the highest administrative powers, known internally as “God mode.” That number was in the hundreds. But the number of people with broad access to core systems, which Zatko had called out as a big problem after joining, had actually grown slightly and remained in the thousands.

The presentation included only a subset of serious intrusions or other security incidents, from a total Zatko estimated as one per week, and it said that the uncontrolled internal access to core systems was responsible for just 7 percent of incidents, when Zatko calculated the real proportion as 60 percent.

When Dorsey left in November 2021, a difficult situation worsened under Agrawal, who had been responsible for security decisions as chief technology officer before Zatko’s hiring, the complaint says.

Agrawal didn’t respond to requests for comment. In an email to employees after publication of this article, obtained by The Post, he said that privacy and security continues to be a top priority for the company, and he added that the narrative is “riddled with inconsistences” and “presented without important context.”

On Jan. 4, Zatko reported internally that the Risk Committee meeting might have been fraudulent, which triggered an Audit Committee investigation.

Agarwal fired him two weeks later. But Zatko complied with the company’s request to spell out his concerns in writing, even without access to his work email and documents, according to the complaint.

Since Zatko’s departure, Twitter has plunged further into chaos with Musk’s takeover, which the two parties agreed to in May. The stock price has fallen, many employees have quit, and Agrawal has dismissed executives and frozen big projects.

Zatko said he hoped that by bringing new scrutiny and accountability, he could improve the company from the outside.

“I still believe that this is a tremendous platform, and there is huge value and huge risk, and I hope that looking back at this, the world will be a better place, in part because of this.”

a watchdog group, claimed that a candidate named Kevin had a ten to thirty per cent lower chance of being hired for a job than a competitor named Arthur.

Kevins also have a hard time in such countries as Germany, where the practice of name discrimination is referred to as “Kevinismus,” and an app that purports to help parents avoid it is called the Kevinometer.

It was hard to get there, because I had to learn over and over again that extreme conviction requires extraordinary evidence, and the evidence we have is usually far from extraordinary.

Just as we solved many of the mysteries that befuddled our ancestors, our descendants will solve many of the mysteries that befuddle us. Our ignorance is profound, forgivable and temporary. There are only two true errors: One is believing that we have no errors left to make, and the other is believing that those errors are permanent and irreversible.

It’s hard to maintain this attitude when you realize just how much we have left to figure out. And we often have to cultivate this attitude for ourselves, because our educators and experts often fail to give it to us.

Experts, for their part, are perfectly comfortable issuing blanket recommendations with scant evidence and then shaming people for not following them.

Our teachers and officials may think the public simply can’t handle uncertainty, and maybe that’s why they project so much confidence, even when the science is faulty. But the best way to cultivate informed citizens is to give them the evidence that we have, not the evidence we wish we had.

I dug deeper into what lies beneath these grand ideas. What’s the one thing each of us could do that would lead to potential world change?

There’s an old African proverb: “Each One Teach One”. The phrase originated in the United States when Africans were enslaved and denied education. When someone learned how to read or write, it became their responsibility to teach someone else.

Something similar might be said about “The Maniac,” Benjamín Labatut’s new novel, whose designated Prometheus is the Hungarian-born polymath John von Neumann, a pioneer of A.I. as well as an originator of game theory.

both narratives are grounded in fact, using the lives and ideas of real people as fodder for allegory and attempting to write a new mythology of the modern world.

Oppenheimer wasn’t a principal author of that theory. Those scientists, among them Niels Bohr, Erwin Schrödinger and Werner Heisenberg, were characters in Labatut’s previous novel, “When We Cease to Understand the World.” That book provides harrowing illumination of a zone where scientific insight becomes indistinguishable from madness or, perhaps, divine inspiration. The basic truths of the new science seem to explode all common sense: A particle is also a wave; one thing can be in many places at once; “scientific method and its object could no longer be prised apart.”

More than most intellectual bastions, the institute is a house of theory. The Promethean mad scientists of the 19th century were creatures of the laboratory, tinkering away at their infernal machines and homemade monsters. Their 20th-century counterparts were more likely to be found at the chalkboard, scratching out our future in charts, equations and lines of code.

The consequences are real enough, of course. The bombs dropped on Hiroshima and Nagasaki killed at least 100,000 people. Their successor weapons, which Oppenheimer opposed, threatened to kill everybody els

on Neumann and Oppenheimer were close contemporaries, born a year apart to prosperous, assimilated Jewish families in Budapest and New York. Von Neumann, conversant in theoretical physics, mathematics and analytic philosophy, worked for Oppenheimer at Los Alamos during the Manhattan Project. He spent most of his career at the Institute for Advanced Study, where Oppenheimer served as director after the war.

the intellectual drama of “Oppenheimer” — as distinct from the dramas of his personal life and his political fate — is about how abstraction becomes reality. The atomic bomb may be, for the soldiers and politicians, a powerful strategic tool in war and diplomacy. For the scientists, it’s something else: a proof of concept, a concrete manifestation of quantum theory.

. Oppenheimer’s designation as Prometheus is precise. He snatched a spark of quantum insight from those divinities and handed it to Harry S. Truman and the U.S. Army Air Forces.

Labatut’s account of von Neumann is, if anything, more unsettling than “Oppenheimer.” We had decades to get used to the specter of nuclear annihilation, and since the end of the Cold War it has been overshadowed by other terrors. A.I., on the other hand, seems newly sprung from science fiction, and especially terrifying because we can’t quite grasp what it will become.

Von Neumann, who died in 1957, did not teach machines to play Go. But when asked “what it would take for a computer, or some other mechanical entity, to begin to think and behave like a human being,” he replied that “it would have to play, like a child.”

MANIAC. The name was an acronym for “Mathematical Analyzer, Numerical Integrator and Computer,” which doesn’t sound like much of a threat. But von Neumann saw no limit to its potential. “If you tell me precisely what it is a machine cannot do,” he declared, “then I can always make a machine which will do just that.” MANIAC didn’t just represent a powerful new kind of machine, but “a new type of life.”

If Oppenheimer took hold of the sacred fire of atomic power, von Neumann’s theft was bolder and perhaps more insidious: He stole a piece of the human essence. He’s not only a modern Prometheus; he’s a second Frankenstein, creator of an all but human, potentially more than human monster.

“Technological power as such is always an ambivalent achievement,” Labatut’s von Neumann writes toward the end of his life, “and science is neutral all through, providing only means of control applicable to any purpose, and indifferent to all. It is not the particularly perverse destructiveness of one specific invention that creates danger. The danger is intrinsic. For progress there is no cure.”

In it, Baudrillard argues that there are four phases of the image - a faithful depiction of that which really is, an unfaithful depiction of that which really is, a depiction that covers up for the fact that there is nothing which is actually being depicted, and the simulacra, which exists in a human culture of such universal equivalency that no one has the grounding necessary to know what “reality” might even be outside of equivalencies, outside of depiction

at this stage, the litbro really exists precisely within Baudrillard’s concepts - it is a representation of someone else’s representation, a second-hand depiction, an archetype that is now developed fully through reference to itself rather than to some underlying reality. Baudrillard said that the development of simulacra is “a question of substituting the signs of the real for the real.”

Another example you often hear is the 1950s diner, the joint that has the neon signs and the art deco styling and the mini jukeboxes at the tables. This classic bit of Americana is not, in fact, based on what diners were like in the 1950s; it’s someone’s idea of what 1950s diners were like, which then spread mimetically from the actual physical 1950s diners that had been built to films and television, which then acted as “proof” that the imaginary diners were real, creating a social expectation of what a diner looks like that diner owners then felt pressure to fulfill…. Eventually most people came to believe that this is what diners were like in the 1950s. The point, though, is not that this is an act of deception. The point is that the consumerist reality in which these restaurants exists obliterates any belief in a true or false depiction. (No one cares whether the classic 1950s diner actually depicts a historical truth, really

Content moderation comes to every content platform eventually, and platforms are starting to realize this faster than ever.

Nothing symbolizes this shift as neatly as Facebook’s decision in October (and Twitter’s shortly after) to start banning Holocaust denial. Almost exactly a year earlier, Zuckerberg had proudly tied himself to the First Amendment in a widely publicized “stand for free expression” at Georgetown University.

The evolution continues. Facebook announced earlier this month that it will join platforms such as YouTube and TikTok in removing, not merely labeling or down-ranking, false claims about COVID-19 vaccines.

the pandemic also showed that complete neutrality is impossible. Even though it’s not clear that removing content outright is the best way to correct misperceptions, Facebook and other platforms plainly want to signal that, at least in the current crisis, they don’t want to be seen as feeding people information that might kill them.

When internet platforms announce new policies, assessing whether they can and will enforce them consistently has always been difficult. In essence, the companies are grading their own work. But too often what can be gleaned from the outside suggests that they’re failing.

It tweaked its algorithm to boost authoritative sources in the news feed and turned off recommendations to join groups based around political or social issues. Facebook is reversing some of these steps now, but it cannot make people forget this toolbox exists in the future

As platforms grow more comfortable with their power, they are recognizing that they have options beyond taking posts down or leaving them up. In addition to warning labels, Facebook implemented other “break glass” measures to stem misinformation as the election approached.

Platforms don’t deserve praise for belatedly noticing dumpster fires that they helped create and affixing unobtrusive labels to them

Warning labels for misinformation might make some commentators feel a little better, but whether labels actually do much to contain the spread of false information is still unknown.

News reporting suggests that insiders at Facebook knew they could and should do more about misinformation, but higher-ups vetoed their ideas. YouTube barely acted to stem the flood of misinformation about election results on its platform.

Even before the pandemic, YouTube had begun adjusting its recommendation algorithm to reduce the spread of borderline and harmful content, and is introducing pop-up nudges to encourage user

And if 2020 finally made clear to platforms the need for greater content moderation, it also exposed the inevitable limits of content moderation.

Down-ranking, labeling, or deleting content on an internet platform does not address the social or political circumstances that caused it to be posted in the first place

even the most powerful platform will never be able to fully compensate for the failures of other governing institutions or be able to stop the leader of the free world from constructing an alternative reality when a whole media ecosystem is ready and willing to enable him. As Renée DiResta wrote in The Atlantic last month, “reducing the supply of misinformation doesn’t eliminate the demand.”

Even so, this year’s events showed that nothing is innate, inevitable, or immutable about platforms as they currently exist. The possibilities for what they might become—and what role they will play in society—are limited more by imagination than any fixed technological constraint, and the companies appear more willing to experiment than ever.

Pandu Nayak, a vice president for search who leads the company’s search-quality teams, told me that snippets are designed to be helpful to the user, to surface relevant and high-caliber results. He argued that they are “usually an invitation to learn more” about a subject

“It’s a strange world where these massive companies think they’re just going to slap this generative slop at the top of search results and expect that they’re going to maintain quality of the experience,” Nicholas Diakopoulos, a professor of communication studies and computer science at Northwestern University, told me. “I’ve caught myself starting to read the generative results, and then I stop myself halfway through. I’m like, Wait, Nick. You can’t trust this.”

Nayak said the team focuses on the bigger underlying problem, and whether its algorithm can be trained to address it.

If Nayak is right, and people do still follow links even when presented with a snippet, anyone who wants to gain clicks or money through search has an incentive to capitalize on that—perhaps even by flooding the zone with AI-written content.

Nayak told me that Google plans to fight AI-generated spam as aggressively as it fights regular spam, and claimed that the company keeps about 99 percent of spam out of search results.

The result is a world that feels more confused, not less, as a result of new technology.

The Kenya result still pops up on Google, despite viral posts about it. This is a strategic choice, not an error. If a snippet violates Google policy (for example, if it includes hate speech) the company manually intervenes and suppresses it, Nayak said. However, if the snippet is untrue but doesn’t violate any policy or cause harm, the company will not intervene.

experts I spoke with had several ideas for how tech companies might mitigate the potential harms of relying on AI in search

For starters, tech companies could become more transparent about generative AI. Diakopoulos suggested that they could publish information about the quality of facts provided when people ask questions about important topics

They can use a coding technique known as “retrieval-augmented generation,” or RAG, which instructs the bot to cross-check its answer with what is published elsewhere, essentially helping it self-fact-check. (A spokesperson for Google said the company uses similar techniques to improve its output.) They could open up their tools to researchers to stress-test it. Or they could add more human oversight to their outputs, maybe investing in fact-checking efforts.

Fact-checking, however, is a fraught proposition. In January, Google’s parent company, Alphabet, laid off roughly 6 percent of its workers, and last month, the company cut at least 40 jobs in its Google News division. This is the team that, in the past, has worked with professional fact-checking organizations to add fact-checks into search results

Alex Heath, at The Verge, reported that top leaders were among those laid off, and Google declined to give me more information. It certainly suggests that Google is not investing more in its fact-checking partnerships as it builds its generative-AI tool.

Nayak acknowledged how daunting a task human-based fact-checking is for a platform of Google’s extraordinary scale. Fifteen percent of daily searches are ones the search engine hasn’t seen before, Nayak told me. “With this kind of scale and this kind of novelty, there’s no sense in which we can manually curate results.”

Creating an infinite, largely automated, and still accurate encyclopedia seems impossible. And yet that seems to be the strategic direction Google is taking.

A representative for Google told me that this was an example of a “false premise” search, a type that is known to trip up the algorithm. If she were trying to date me, she argued, she wouldn’t just stop at the AI-generated response given by the search engine, but would click the link to fact-check it.

the need for regulation to maintain the reliability of essential aspects of the economy like electricity supply and the monetary system.

Which is why I’m calling the modern American right antisocial — because its members reject any policy that relies on social cooperation, and they want us to return instead to Hobbes’s dystopian state of nature

why Republicans have become fanatics about cryptocurrency, to the extent that one Senate candidate has defined his position as being “pro-God, pro-family, pro-Bitcoin.” The answer, I’d argue, is that Bitcoin plays into a fantasy of self-sufficient individualism, of protecting your family with your personal AR-15, treating your Covid with an anti-parasite drug or urine and managing your financial affairs with privately created money, untainted by institutions like governments or banks.

In the end, none of this will work. Government exists for a reason. But the right’s constant attacks on essential government functions will take a toll, making all of our lives nastier, more brutish and shorter.

“It just came down to not having enough money,” said Terence Trouillot, a senior editor at Frieze, a contemporary art magazine . He spent nearly three years on the AICA-USA board, resigning in 2022. He said that initiatives to re-energize the group “were just moving too slowly.”

According to Lilly Wei, a longtime AICA-USA board member who recently resigned, the group explored different ways of protecting writers in the industry. There were unrealized plans of turning the organization into a union; others hoped to create a permanent emergency fund to keep financially struggling critics afloat. She said the organization has instead canceled initiatives, including an awards program for the best exhibitions across the country.

Large galleries — including Gagosian, Hauser & Wirth, and Pace Gallery — now produce their own publications with interviews and articles sometimes written by the same freelance critics who simultaneously moonlight as curators and marketers. Within its membership, AICA-USA has a number of writers who belong to all three categories.

“It’s crazy that the ideal job nowadays is producing catalog essays for galleries, which are basically just sales pitches,” Dillon said in a phone interview. “Critical thinking about art is not valued financially.”

Noah Dillon, who was on the AICA-USA board until he resigned last year, has been reluctant to recommend that anyone follow his path to become a critic. Not that they could. The graduate program in art writing that he attended at the School of Visual Arts in Manhattan also closed during the pandemic.

David Velasco, editor in chief of Artforum, said in an interview that he hoped the magazine’s acquisition would improve the publication’s financial picture. The magazine runs nearly 700 reviews a year, Velasco said; about half of those run online and pay $50 for roughly 250 words. “Nobody I know who knows about art does it for the money,” Velasco said, “but I would love to arrive at a point where people could.”

While most editors recognize the importance of criticism in helping readers decipher contemporary art, and the multibillion-dollar industry it has created, venues for such writing are shrinking. Over the years, newspapers including The Philadelphia Inquirer and The Miami Herald have trimmed critics’ jobs.

In December, the Penske Media Corporation announced that it had acquired Artforum, a contemporary art journal, and was bringing the title under the same ownership as its two competitors, ARTnews and Art in America. Its sister publication, Bookforum, was not acquired and ceased operations. Through the pandemic, other outlets have shuttered, including popular blogs run by SFMOMA and the Walker Art Center in Minneapolis as well as smaller magazines called Astra and Elephant.

The need for change in museums was pointed out in the 2022 Burns Halperin Report, published by Artnet News in December, that analyzed more than a decade of data from over 30 cultural institutions. It found that just 11 percent of acquisitions at U.S. museums were by female artists and only 2.2 percent were by Black American artists

(National newspapers with art critics on staff include The New York Times, The Los Angeles Times, The Boston Globe and The Washington Post. )

Julia Halperin, one of the study’s organizers, who recently left her position as Artnet’s executive editor, said that the industry has an asymmetric approach to diversity. “The pool of artists is diversifying somewhat, but the pool of staff critics has not,” she said.

the matter of diversity in criticism is compounded by the fact that opportunities for all critics have been diminished.

The girls who came to us had many comorbidities: depression, anxiety, ADHD, eating disorders, obesity. Many were diagnosed with autism, or had autism-like symptoms. A report last year on a British pediatric transgender center found that about one-third of the patients referred there were on the autism spectrum.

This concerned me, but didn’t feel I was in the position to sound some kind of alarm back then. There was a team of about eight of us, and only one other person brought up the kinds of questions I had. Anyone who raised doubts ran the risk of being called a transphobe. 

I certainly saw this at the center. One of my jobs was to do intake for new patients and their families. When I started there were probably 10 such calls a month. When I left there were 50, and about 70 percent of the new patients were girls. Sometimes clusters of girls arrived from the same high school. 

There are no reliable studies showing this. Indeed, the experiences of many of the center’s patients prove how false these assertions are. 

The doctors privately recognized these false self-diagnoses as a manifestation of social contagion. They even acknowledged that suicide has an element of social contagion. But when I said the clusters of girls streaming into our service looked as if their gender issues might be a manifestation of social contagion, the doctors said gender identity reflected something innate.

To begin transitioning, the girls needed a letter of support from a therapist—usually one we recommended—who they had to see only once or twice for the green light. To make it more efficient for the therapists, we offered them a template for how to write a letter in support of transition. The next stop was a single visit to the endocrinologist for a testosterone prescription. 

When a female takes testosterone, the profound and permanent effects of the hormone can be seen in a matter of months. Voices drop, beards sprout, body fat is redistributed. Sexual interest explodes, aggression increases, and mood can be unpredictable. Our patients were told about some side effects, including sterility. But after working at the center, I came to believe that teenagers are simply not capable of fully grasping what it means to make the decision to become infertile while still a minor.

Many encounters with patients emphasized to me how little these young people understood the profound impacts changing gender would have on their bodies and minds. But the center downplayed the negative consequences, and emphasized the need for transition. As the center’s website said, “Left untreated, gender dysphoria has any number of consequences, from self-harm to suicide. But when you take away the gender dysphoria by allowing a child to be who he or she is, we’re noticing that goes away. The studies we have show these kids often wind up functioning psychosocially as well as or better than their peers.” 

Frequently, our patients declared they had disorders that no one believed they had. We had patients who said they had Tourette syndrome (but they didn’t); that they had tic disorders (but they didn’t); that they had multiple personalities (but they didn’t).

Here’s an example. On Friday, May 1, 2020, a colleague emailed me about a 15-year-old male patient: “Oh dear. I am concerned that [the patient] does not understand what Bicalutamide does.” I responded: “I don’t think that we start anything honestly right now.”

Bicalutamide is a medication used to treat metastatic prostate cancer, and one of its side effects is that it feminizes the bodies of men who take it, including the appearance of breasts. The center prescribed this cancer drug as a puberty blocker and feminizing agent for boys. As with most cancer drugs, bicalutamide has a long list of side effects, and this patient experienced one of them: liver toxicity. He was sent to another unit of the hospital for evaluation and immediately taken off the drug. Afterward, his mother sent an electronic message to the Transgender Center saying that we were lucky her family was not the type to sue.

How little patients understood what they were getting into was illustrated by a call we received at the center in 2020 from a 17-year-old biological female patient who was on testosterone. She said she was bleeding from the vagina. In less than an hour she had soaked through an extra heavy pad, her jeans, and a towel she had wrapped around her waist. The nurse at the center told her to go to the emergency room right away.

when there was a dispute between the parents, it seemed the center always took the side of the affirming parent.

Other girls were disturbed by the effects of testosterone on their clitoris, which enlarges and grows into what looks like a microphallus, or a tiny penis. I counseled one patient whose enlarged clitoris now extended below her vulva, and it chafed and rubbed painfully in her jeans. I advised her to get the kind of compression undergarments worn by biological men who dress to pass as female. At the end of the call I thought to myself, “Wow, we hurt this kid.”

There are rare conditions in which babies are born with atypical genitalia—cases that call for sophisticated care and compassion. But clinics like the one where I worked are creating a whole cohort of kids with atypical genitals—and most of these teens haven’t even had sex yet. They had no idea who they were going to be as adults. Yet all it took for them to permanently transform themselves was one or two short conversations with a therapist.

Being put on powerful doses of testosterone or estrogen—enough to try to trick your body into mimicking the opposite sex—-affects the rest of the body. I doubt that any parent who's ever consented to give their kid testosterone (a lifelong treatment) knows that they’re also possibly signing their kid up for blood pressure medication, cholesterol medication, and perhaps sleep apnea and diabetes. 

Besides teenage girls, another new group was referred to us: young people from the inpatient psychiatric unit, or the emergency department, of St. Louis Children’s Hospital. The mental health of these kids was deeply concerning—there were diagnoses like schizophrenia, PTSD, bipolar disorder, and more. Often they were already on a fistful of pharmaceuticals.

no matter how much suffering or pain a child had endured, or how little treatment and love they had received, our doctors viewed gender transition—even with all the expense and hardship it entailed—as the solution.

Another disturbing aspect of the center was its lack of regard for the rights of parents—and the extent to which doctors saw themselves as more informed decision-makers over the fate of these children.

We found out later this girl had had intercourse, and because testosterone thins the vaginal tissues, her vaginal canal had ripped open. She had to be sedated and given surgery to repair the damage. She wasn’t the only vaginal laceration case we heard about.

During the four years I worked at the clinic as a case manager—I was responsible for patient intake and oversight—around a thousand distressed young people came through our doors. The majority of them received hormone prescriptions that can have life-altering consequences—including sterility. 

I left the clinic in November of last year because I could no longer participate in what was happening there. By the time I departed, I was certain that the way the American medical system is treating these patients is the opposite of the promise we make to “do no harm.” Instead, we are permanently harming the vulnerable patients in our care.

Today I am speaking out. I am doing so knowing how toxic the public conversation is around this highly contentious issue—and the ways that my testimony might be misused. I am doing so knowing that I am putting myself at serious personal and professional risk.

Almost everyone in my life advised me to keep my head down. But I cannot in good conscience do so. Because what is happening to scores of children is far more important than my comfort. And what is happening to them is morally and medically appalling.

For almost four years, I worked at The Washington University School of Medicine Division of Infectious Diseases with teens and young adults who were HIV positive. Many of them were trans or otherwise gender nonconforming, and I could relate: Through childhood and adolescence, I did a lot of gender questioning myself. I’m now married to a transman, and together we are raising my two biological children from a previous marriage and three foster children we hope to adopt. 

The center’s working assumption was that the earlier you treat kids with gender dysphoria, the more anguish you can prevent later on. This premise was shared by the center’s doctors and therapists. Given their expertise, I assumed that abundant evidence backed this consensus. 

All that led me to a job in 2018 as a case manager at The Washington University Transgender Center at St. Louis Children's Hospital, which had been established a year earlier. 

The Pew Research Center survey asked people different questions but found similar doubts about AI. Just 15 percent of respondents said they were more excited than concerned about the increasing use of AI in daily life.

“It’s fantastic that there is public skepticism about AI. There absolutely should be,” said Meredith Broussard, an artificial intelligence researcher and professor at New York University.

Broussard said there can be no way to design artificial intelligence software to make inherently human decisions, like grading students’ tests or determining the course of medical treatment.

Most Americans essentially agree with Broussard that AI has a place in our lives, but not for everything.

Most people said it was a bad idea to use AI for military drones that try to distinguish between enemies and civilians or trucks making local deliveries without human drivers. Most respondents said it was a good idea for machines to perform risky jobs such as coal mining.

Roman Yampolskiy, an AI specialist at the University of Louisville engineering school, told me he’s concerned about how quickly technologists are building computers that are designed to “think” like the human brain and apply knowledge not just in one narrow area, like recommending Netflix movies, but for complex tasks that have tended to require human intelligence.

“We have an arms race between multiple untested technologies. That is my concern,” Yampolskiy said. (If you want to feel terrified, I recommend Yampolskiy’s research paper on the inability to control advanced AI.)

The term “AI” is a catch-all for everything from relatively uncontroversial technology, such as autocomplete in your web search queries, to the contentious software that promises to predict crime before it happens. Our fears about the latter might be overwhelming our beliefs about the benefits from more mundane AI.

Microsoft leaders felt “enormous urgency” for it to be the company to bring this technology to market, because others around the world are working on similar tech but might not have the resources or inclination to build it as responsibly, says Sarah Bird, a leader on Microsoft’s responsible AI team.

One common starting point for such models is what is essentially a download or “scrape” of most of the internet. In the past, these language models were used to try to understand text, but the new generation of them, part of the revolution in “generative” AI, uses those same models to create texts by trying to guess, one word at a time, the most likely word to come next in any given sequence.

Wide-scale testing gives Microsoft and OpenAI a big competitive edge by enabling them to gather huge amounts of data about how people actually use such chatbots. Both the prompts users input into their systems, and the results their AIs spit out, can then be fed back into a complicated system—which includes human content moderators paid by the companies—to improve it.

, being first to market with a chat-based AI gives these companies a huge initial lead over companies that have been slower to release their own chat-based AIs, such as Google.

rarely has an experiment like Microsoft and OpenAI’s been rolled out so quickly, and at such a broad scale.

Among those who build and study these kinds of AIs, Mr. Altman’s case for experimenting on the global public has inspired responses ranging from raised eyebrows to condemnation.

The fact that we’re all guinea pigs in this experiment doesn’t mean it shouldn’t be conducted, says Nathan Lambert, a research scientist at the AI startup Huggingface.

“I would kind of be happier with Microsoft doing this experiment than a startup, because Microsoft will at least address these issues when the press cycle gets really bad,” says Dr. Lambert. “I think there are going to be a lot of harms from this kind of AI, and it’s better people know they are coming,” he adds.

Others, particularly those who study and advocate for the concept of “ethical AI” or “responsible AI,” argue that the global experiment Microsoft and OpenAI are conducting is downright dangerous

Celeste Kidd, a professor of psychology at University of California, Berkeley, studies how people acquire knowledge

Her research has shown that people learning about new things have a narrow window in which they form a lasting opinion. Seeing misinformation during this critical initial period of exposure to a new concept—such as the kind of misinformation that chat-based AIs can confidently dispense—can do lasting harm, she says.

Dr. Kidd likens OpenAI’s experimentation with AI to exposing the public to possibly dangerous chemicals. “Imagine you put something carcinogenic in the drinking water and you were like, ‘We’ll see if it’s carcinogenic.’ After, you can’t take it back—people have cancer now,”

Part of the challenge with AI chatbots is that they can sometimes simply make things up. Numerous examples of this tendency have been documented by users of both ChatGPT and OpenA

These models also tend to be riddled with biases that may not be immediately apparent to users. For example, they can express opinions gleaned from the internet as if they were verified facts

When millions are exposed to these biases across billions of interactions, this AI has the potential to refashion humanity’s views, at a global scale, says Dr. Kidd.

OpenAI has talked publicly about the problems with these systems, and how it is trying to address them. In a recent blog post, the company said that in the future, users might be able to select AIs whose “values” align with their own.

“We believe that AI should be a useful tool for individual people, and thus customizable by each user up to limits defined by society,” the post said.

Eliminating made-up information and bias from chat-based search engines is impossible given the current state of the technology, says Mark Riedl, a professor at Georgia Institute of Technology who studies artificial intelligence

He believes the release of these technologies to the public by Microsoft and OpenAI is premature. “We are putting out products that are still being actively researched at this moment,” he adds. 

in other areas of human endeavor—from new drugs and new modes of transportation to advertising and broadcast media—we have standards for what can and cannot be unleashed on the public. No such standards exist for AI, says Dr. Riedl.

To modify these AIs so that they produce outputs that humans find both useful and not-offensive, engineers often use a process called “reinforcement learning through human feedback.

that’s a fancy way of saying that humans provide input to the raw AI algorithm, often by simply saying which of its potential responses to a query are better—and also which are not acceptable at all.

Microsoft’s and OpenAI’s globe-spanning experiments on millions of people are yielding a fire hose of data for both companies. User-entered prompts and the AI-generated results are fed back through a network of paid human AI trainers to further fine-tune the models,

Huggingface’s Dr. Lambert says that any company, including his own, that doesn’t have this river of real-world usage data helping it improve its AI is at a huge disadvantage

In chatbots, in some autonomous-driving systems, in the unaccountable AIs that decide what we see on social media, and now, in the latest applications of AI, again and again we are the guinea pigs on which tech companies are testing new technology.

It may be the case that there is no other way to roll out this latest iteration of AI—which is already showing promise in some areas—at scale. But we should always be asking, at times like these: At what price?

It would be easy to conclude that an absurdist view of life rules out happiness and leads anyone with any sense to despair at her very existence. And yet in his book, Camus concludes, “One must imagine Sisyphus happy

this unexpected twist in Camus’ philosophy of life and happiness can help you change your perspective and see your daily struggles in a new, more equanimous way.

he argues that despite the hardships of this world, against all apparent odds, human beings regularly experience true happiness. People in terrible circumstances bask in love for one another. They enjoy simple diversions

Even Sisyphus was happy, according to Camus, because “the struggle itself toward the heights is enough to fill a man’s heart.” Simply put, he had something to keep him busy.

Instead of feeling desperation at the futility of life, Camus tells us to embrace its ridiculousness. It’s the only way to arrive at happiness, the most absurd emotion of all under these circumstances

We shouldn’t try to find some cosmic meaning in our relentless routines—getting, spending, eating, working, pushing our own little boulders up our own little hills

Instead, we should laugh uproariously at the fact that there is no meaning, and be happy anyway.

Happiness, for Camus, is an existential declaration of independence. Instead of advising “Don’t worry, be happy,” he offers a rebellious “Tell the universe to go suck eggs, be happy.”

If embracing the ridiculous seems impossible to you, Camus says it’s only because of your pride.

“Those who prefer their principles over their happiness, they refuse to be happy outside the conditions they seem to have attached to their happiness,”

In fact, each of us can consciously implement Camus’ absurdism in order to forge a happier life. Here are three practical ways to find joy in the ridiculous.

1. Stand up to your ennui.

You can’t necessarily change your perception of the world, but, as I have written, you most certainly can change your response to that perception. Meet that feeling of despair with a personal motto, such as “I don’t know what everything means, but I do know I am alive right now, and I will not squander this moment

2. Look for opportunities to do a little good.

One of the best ways to cultivate futility is by focusing on the big things you can’t control—war, natural disasters, hatred—as opposed to the little things you can.

Those little things include bringing a small blessing or source of relief to others.

if your commute to work is a soul-sucking existential nightmare, don’t ruminate on the cars stopped ahead of you. Rather, focus on making space for that poor sap stuck in the wrong lane who’s desperately trying to merge

3. Be fully present.

Absurdity tends to sting only when we see it from the “outside”; for example, when you think about how meaningless it has been to wash the dishes every day in the past only to find them dirty again right now—and imagine the countless dish washings that the rest of your life will comprise.

Confronting the absurd is much more comfortable when you do so with mindfulness.

“While washing the dishes one should only be washing the dishes, which means that while washing the dishes one should be completely aware of the fact that one is washing the dishes.

When the broad sweep of life brings you horror, concentrate on this moment, and savor it. The pleasure and meaning you can find right now are real; the meaninglessness of the future is not.

Some mornings, I wake up seeing only boulders and can’t face pushing them once again up that hill

Those are the days when my old friend Camus comes in handy. Instead of despairing of the absurdity of life, I lean into it, laugh at it, and start my day in a light mood. Then I gather my beloved boulders and set out for the nearest hill.