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But the news was likely to be received with less enthusiasm by Prime Minister Nawaz Sharif’s government

Furious government officials criticized the United States’ killing of the previous Taliban leader, Hakimullah Mehsud, in a drone strike last Friday, claiming that the Mr. Mehsud had been on the verge of starting peace talks that could end seven years of bloodshed in Pakistan’s major cities.

He set up a pirate radio station that broadcast jihadist propaganda across the valley, at one point urging women not to sleep with their husbands if they refused to join his jihad.

Mr. Sharif “bargained and sold out Hakimullah to the Americans,” he said.

For the Pakistani military, Mr. Fazlullah is a cherished enemy, too. He escaped the army’s toughest anti-Taliban offensive of recent years in 2009 when, as thousands of soldiers swept through Swat, following the collapse of a peace deal, he slipped through the dragnet and fled across the border into Afghanistan.

“This changes the entire equation,” said one senior government official in Peshawar.

Shahidullah Shahid, said there would be “no more talks as Mullah Fazlullah is already against negotiations.”

armed fighters displaced the civil government, instituting a authoritarian and often cruel rule that mandated public floggings, executions and the closure of girls’ schools.

But those compromises quickly foundered — there was public outrage across Pakistan over a video that showed Taliban fighters flogging a teenage girl in Swat — and by summer 2009, the army had moved in.

Mr. Khan has vowed to block NATO military supply lines into Afghanistan after Nov. 20 if the United States does not halt drone attacks in the tribal belt.

But Mr. Khan’s aggressive anti-American stance could be complicated by a fresh wave of Taliban violence — particularly if it is engineered by a Taliban leader who hails from the province that Mr. Khan controls.

The Pakistani Taliban is related to, but distinct from, the Afghan Taliban. The group has largely attacked targets inside Pakistan but has also deployed suicide bombers into Afghanistan and claimed responsibility for an attempted bombing of Times Square in May 2010. As a result, its leadership has been repeatedly targeted by American drones.

So each show retains a number of wealth consultants — some of them billionaires and some of them vendors who cater to billionaires — who advise on what uniforms household staff might wear or which artwo

Cost aside, one way these shows suggest wealth is less about the items themselves than how the characters react to them. In the second season of “Billions,” Bobby and Lara Axelrod board his-and-her private jets with no more fanfare than a quick goodbye kiss. The characters aren’t awed, so the camera isn’t either.

“People imagine that it’s going to bring some meaning to them or satisfy some need,” he said. However, “rich people often describe themselves as feeling dead inside.”

When even “Dynasty” unleashes a socioeconomic critique, it suggests suspicion of the very rich, an anxiety that they may not be like the rest of us. That anxiety might have merit. The 1980s — the era of the first “Dynasty” — and the present are periods associated with huge increases in wealth inequality.

“Rich people have become so different from the average person,” said Shamus Khan, a Columbia University sociology professor who researches the political influence of economic elites. “They’re of interest in the way that a zoo animal is of interest.”

“Succession” mostly steers clear of beauty shots. Armstrong told his team, “Let’s never try to persuade anyone or sell anyone on an element of this lifestyle.” The characters tend to treat wealth casually, even disdainfully, regifting a Patek-Philippe, stepping into a Sikorsky helicopter as if it’s one more town car.

The wealthy characters in these shows often choose money over family, community or moral integrity. The design — luxurious, but sometimes cold and unbeautiful — reflects that.

Although he was a Muslim, Babur followed a rather loose interpretation of the Quran in some ways. He drank heavily at his famously lavish feasts, and also enjoyed smoking hashish.

His eldest son Humayan fought off an attempt to seat his aunt's husband as emperor and assumed the throne.

Humayan was not a very strong leader. In 1540, the Pashtun ruler Sher Shah Suri defeated the Timurids, deposing Humayan. The second Timurid emperor only regained his throne with aid from Persia in 1555, a year before his death, but at that time he managed even to expand on Babur's empire.

Akbar defeated the remnants of the Pashtuns, and brought some previously unquelled Hindu regions under Timurid control. He also gained control over Rajput through diplomacy and marriage alliances.

he was a committed Muslim, Akbar encouraged religious tolerance and sought wisdom from holy men of all faiths.

Akbar's son, Jahangir, ruled the Mughal Empire in peace and prosperity from 1605 until 1627. He was succeeded by his own son, Shah Jahan.

The 36-year-old Shah Jahan inherited an incredible empire in 1627

his beloved wife, Mumtaz Mahal, died during the birth of their fourteenth child.

As an expression of his love, Shah Jahan commissioned the building of a magnificent tomb for his dear wife. Designed by the Persian architect Ustad Ahmad Lahauri, and constructed of white marble, the Taj Mahal is considered the crowning achievement of Mughal architecture.

Shah Jahan's third son, Aurangzeb, seized the throne and had all of his brothers executed after a protracted succession struggle in 1658.

Shah Jahan spent his declining years gazing out at the Taj, and died in 1666.

The ruthless Aurangzeb proved to be the last of the "Great Mughals." Throughout his reign, he expanded the empire in all directions. He also enforced a much more orthodox brand of Islam, even banning music in the empire (which made many Hindu rites impossible to perform).

A three-year-long revolt by the Mughals' long-time ally, the Pashtun, began in 1672. In the aftermath, the Mughals lost much of their authority in what is now Afghanistan, seriously weakening the empire.

Increasing peasant revolts and sectarian violence threatened the stability of the throne, and various nobles and warlords sought to control the line of weak emperors. All around the borders, powerful new kingdoms sprang up and began to chip away at Mughal land holdings.

The British East India Company (BEI) was founded in 1600, while Akbar was still on the throne. Initially, it was only interested in trade and had to content itself with working around the fringes of the Mughal Empire. As the Mughals weakened, however, the BEI grew increasingly powerful.

After this victory, the BEI took political control of much of the subcontinent, marking the start of the British Raj in India. The later Mughal rulers held on to their throne, but they were simply puppets of the British.

In 1857, half of the Indian Army rose up against the BEI in what is known as the Sepoy Rebellion or the Indian Mutiny. The British home government intervened to protect its own financial stake in the company and put down the so-called rebellion.Emperor Bahadur Shah Zafar was arrested, tried for treason, and exiled to Burma. It was the end of the Mughal Dynasty.

In a reference to the NFL, he has described himself as Tom Brady to Bannon’s Bill Belichick.

Raheem Kassam, London editor, Breitbart News

Kassam has also taken the opportunity to throw bombs on the other side of the Atlantic, defending Trump’s “shithole” comment by telling Sky News that London had become “a shithole” under Sadiq Khan.

Tucker Carlson, Fox News host

Carlson, the well groomed son of a former US ambassador, represents economic nationalism with a preppy face. He has long gleefully engaged in the culture wars that animated Bannon, targeting campus leftists and establishment Republicans with glee.

Benny Johnson, reporter-at-large, Daily Caller

Johnson, who has served stints at BuzzFeed and the Independent Journal Review, has long crafted a reputation for driving conservatives to click on his stories and pushing them to go viral with headlines such as: “Sarah Sanders Just Burned CNN So Bad The Briefing Room Let Out An Audible Gasp.”

Code is too hard to think about. Before trying to understand the attempts themselves, then, it’s worth understanding why this might be: what it is about code that makes it so foreign to the mind, and so unlike anything that came before it.

Technological progress used to change the way the world looked—you could watch the roads getting paved; you could see the skylines rise. Today you can hardly tell when something is remade, because so often it is remade by code.

Software has enabled us to make the most intricate machines that have ever existed. And yet we have hardly noticed, because all of that complexity is packed into tiny silicon chips as millions and millions of lines of cod

The programmer, the renowned Dutch computer scientist Edsger Dijkstra wrote in 1988, “has to be able to think in terms of conceptual hierarchies that are much deeper than a single mind ever needed to face before.” Dijkstra meant this as a warning.

“The serious problems that have happened with software have to do with requirements, not coding errors.” When you’re writing code that controls a car’s throttle, for instance, what’s important is the rules about when and how and by how much to open it. But these systems have become so complicated that hardly anyone can keep them straight in their head. “There’s 100 million lines of code in cars now,” Leveson says. “You just cannot anticipate all these things.”

What made programming so difficult was that it required you to think like a computer.

The introduction of programming languages like Fortran and C, which resemble English, and tools, known as “integrated development environments,” or IDEs, that help correct simple mistakes (like Microsoft Word’s grammar checker but for code), obscured, though did little to actually change, this basic alienation—the fact that the programmer didn’t work on a problem directly, but rather spent their days writing out instructions for a machine.

“The problem is that software engineers don’t understand the problem they’re trying to solve, and don’t care to,” says Leveson, the MIT software-safety expert. The reason is that they’re too wrapped up in getting their code to work.

As programmers eagerly poured software into critical systems, they became, more and more, the linchpins of the built world—and Dijkstra thought they had perhaps overestimated themselves.

a nearly decade-long investigation into claims of so-called unintended acceleration in Toyota cars. Toyota blamed the incidents on poorly designed floor mats, “sticky” pedals, and driver error, but outsiders suspected that faulty software might be responsible

software experts spend 18 months with the Toyota code, picking up where NASA left off. Barr described what they found as “spaghetti code,” programmer lingo for software that has become a tangled mess. Code turns to spaghetti when it accretes over many years, with feature after feature piling on top of, and being woven around

Using the same model as the Camry involved in the accident, Barr’s team demonstrated that there were actually more than 10 million ways for the onboard computer to cause unintended acceleration. They showed that as little as a single bit flip—a one in the computer’s memory becoming a zero or vice versa—could make a car run out of control. The fail-safe code that Toyota had put in place wasn’t enough to stop it

. In all, Toyota recalled more than 9 million cars, and paid nearly $3 billion in settlements and fines related to unintended acceleration.

The problem is that programmers are having a hard time keeping up with their own creations. Since the 1980s, the way programmers work and the tools they use have changed remarkably little.

“Visual Studio is one of the single largest pieces of software in the world,” he said. “It’s over 55 million lines of code. And one of the things that I found out in this study is more than 98 percent of it is completely irrelevant. All this work had been put into this thing, but it missed the fundamental problems that people faced. And the biggest one that I took away from it was that basically people are playing computer inside their head.” Programmers were like chess players trying to play with a blindfold on—so much of their mental energy is spent just trying to picture where the pieces are that there’s hardly any left over to think about the game itself.

The fact that the two of them were thinking about the same problem in the same terms, at the same time, was not a coincidence. They had both just seen the same remarkable talk, given to a group of software-engineering students in a Montreal hotel by a computer researcher named Bret Victor. The talk, which went viral when it was posted online in February 2012, seemed to be making two bold claims. The first was that the way we make software is fundamentally broken. The second was that Victor knew how to fix it.

Though he runs a lab that studies the future of computing, he seems less interested in technology per se than in the minds of the people who use it. Like any good toolmaker, he has a way of looking at the world that is equal parts technical and humane. He graduated top of his class at the California Institute of Technology for electrical engineering,

WYSIWYG (pronounced “wizzywig”) came along. It stood for “What You See Is What You Get.”

“Our current conception of what a computer program is,” he said, is “derived straight from Fortran and ALGOL in the late ’50s. Those languages were designed for punch cards.”

in early 2012, Victor had finally landed upon the principle that seemed to thread through all of his work. (He actually called the talk “Inventing on Principle.”) The principle was this: “Creators need an immediate connection to what they’re creating.” The problem with programming was that it violated the principle. That’s why software systems were so hard to think about, and so rife with bugs: The programmer, staring at a page of text, was abstracted from whatever it was they were actually making.

Victor’s point was that programming itself should be like that. For him, the idea that people were doing important work, like designing adaptive cruise-control systems or trying to understand cancer, by staring at a text editor, was appalling.

With the right interface, it was almost as if you weren’t working with code at all; you were manipulating the game’s behavior directly.

When the audience first saw this in action, they literally gasped. They knew they weren’t looking at a kid’s game, but rather the future of their industry. Most software involved behavior that unfolded, in complex ways, over time, and Victor had shown that if you were imaginative enough, you could develop ways to see that behavior and change it, as if playing with it in your hands. One programmer who saw the talk wrote later: “Suddenly all of my tools feel obsolete.”

hen John Resig saw the “Inventing on Principle” talk, he scrapped his plans for the Khan Academy programming curriculum. He wanted the site’s programming exercises to work just like Victor’s demos. On the left-hand side you’d have the code, and on the right, the running program: a picture or game or simulation. If you changed the code, it’d instantly change the picture. “In an environment that is truly responsive,” Resig wrote about the approach, “you can completely change the model of how a student learns ... [They] can now immediately see the result and intuit how underlying systems inherently work without ever following an explicit explanation.” Khan Academy has become perhaps the largest computer-programming class in the world, with a million students, on average, actively using the program each month.

. In traditional programming, your task is to take complex rules and translate them into code; most of your energy is spent doing the translating, rather than thinking about the rules themselves. In the model-based approach, all you have is the rules. So that’s what you spend your time thinking about. It’s a way of focusing less on the machine and more on the problem you’re trying to get it to solve.

“Everyone thought I was interested in programming environments,” he said. Really he was interested in how people see and understand systems—as he puts it, in the “visual representation of dynamic behavior.” Although code had increasingly become the tool of choice for creating dynamic behavior, it remained one of the worst tools for understanding it. The point of “Inventing on Principle” was to show that you could mitigate that problem by making the connection between a system’s behavior and its code immediate.

In a pair of later talks, “Stop Drawing Dead Fish” and “Drawing Dynamic Visualizations,” Victor went one further. He demoed two programs he’d built—the first for animators, the second for scientists trying to visualize their data—each of which took a process that used to involve writing lots of custom code and reduced it to playing around in a WYSIWYG interface.

Victor suggested that the same trick could be pulled for nearly every problem where code was being written today. “I’m not sure that programming has to exist at all,” he told me. “Or at least software developers.” In his mind, a software developer’s proper role was to create tools that removed the need for software developers. Only then would people with the most urgent computational problems be able to grasp those problems directly, without the intermediate muck of code.

Victor implored professional software developers to stop pouring their talent into tools for building apps like Snapchat and Uber. “The inconveniences of daily life are not the significant problems,” he wrote. Instead, they should focus on scientists and engineers—as he put it to me, “these people that are doing work that actually matters, and critically matters, and using really, really bad tools.”

“people are not so easily transitioning to model-based software development: They perceive it as another opportunity to lose control, even more than they have already.”

In a model-based design tool, you’d represent this rule with a small diagram, as though drawing the logic out on a whiteboard, made of boxes that represent different states—like “door open,” “moving,” and “door closed”—and lines that define how you can get from one state to the other. The diagrams make the system’s rules obvious: Just by looking, you can see that the only way to get the elevator moving is to close the door, or that the only way to get the door open is to stop.

Bantegnie’s company is one of the pioneers in the industrial use of model-based design, in which you no longer write code directly. Instead, you create a kind of flowchart that describes the rules your program should follow (the “model”), and the computer generates code for you based on those rules

“Typically the main problem with software coding—and I’m a coder myself,” Bantegnie says, “is not the skills of the coders. The people know how to code. The problem is what to code. Because most of the requirements are kind of natural language, ambiguous, and a requirement is never extremely precise, it’s often understood differently by the guy who’s supposed to code.”

On this view, software becomes unruly because the media for describing what software should do—conversations, prose descriptions, drawings on a sheet of paper—are too different from the media describing what software does do, namely, code itself.

for this approach to succeed, much of the work has to be done well before the project even begins. Someone first has to build a tool for developing models that are natural for people—that feel just like the notes and drawings they’d make on their own—while still being unambiguous enough for a computer to understand. They have to make a program that turns these models into real code. And finally they have to prove that the generated code will always do what it’s supposed to.

tice brings order and accountability to large codebases. But, Shivappa says, “it’s a very labor-intensive process.” He estimates that before they used model-based design, on a two-year-long project only two to three months was spent writing code—the rest was spent working on the documentation.

uch of the benefit of the model-based approach comes from being able to add requirements on the fly while still ensuring that existing ones are met; with every change, the computer can verify that your program still works. You’re free to tweak your blueprint without fear of introducing new bugs. Your code is, in FAA parlance, “correct by construction.”

The ideas spread. The notion of liveness, of being able to see data flowing through your program instantly, made its way into flagship programming tools offered by Google and Apple. The default language for making new iPhone and Mac apps, called Swift, was developed by Apple from the ground up to support an environment, called Playgrounds, that was directly inspired by Light Table.

The bias against model-based design, sometimes known as model-driven engineering, or MDE, is in fact so ingrained that according to a recent paper, “Some even argue that there is a stronger need to investigate people’s perception of MDE than to research new MDE technologies.”

“Human intuition is poor at estimating the true probability of supposedly ‘extremely rare’ combinations of events in systems operating at a scale of millions of requests per second,” he wrote in a paper. “That human fallibility means that some of the more subtle, dangerous bugs turn out to be errors in design; the code faithfully implements the intended design, but the design fails to correctly handle a particular ‘rare’ scenario.”

Newcombe was convinced that the algorithms behind truly critical systems—systems storing a significant portion of the web’s data, for instance—ought to be not just good, but perfect. A single subtle bug could be catastrophic. But he knew how hard bugs were to find, especially as an algorithm grew more complex. You could do all the testing you wanted and you’d never find them all.

An algorithm written in TLA+ could in principle be proven correct. In practice, it allowed you to create a realistic model of your problem and test it not just thoroughly, but exhaustively. This was exactly what he’d been looking for: a language for writing perfect algorithms.

TLA+, which stands for “Temporal Logic of Actions,” is similar in spirit to model-based design: It’s a language for writing down the requirements—TLA+ calls them “specifications”—of computer programs. These specifications can then be completely verified by a computer. That is, before you write any code, you write a concise outline of your program’s logic, along with the constraints you need it to satisfy

Programmers are drawn to the nitty-gritty of coding because code is what makes programs go; spending time on anything else can seem like a distraction. And there is a patient joy, a meditative kind of satisfaction, to be had from puzzling out the micro-mechanics of code. But code, Lamport argues, was never meant to be a medium for thought. “It really does constrain your ability to think when you’re thinking in terms of a programming language,”

Code makes you miss the forest for the trees: It draws your attention to the working of individual pieces, rather than to the bigger picture of how your program fits together, or what it’s supposed to do—and whether it actually does what you think. This is why Lamport created TLA+. As with model-based design, TLA+ draws your focus to the high-level structure of a system, its essential logic, rather than to the code that implements it.

But TLA+ occupies just a small, far corner of the mainstream, if it can be said to take up any space there at all. Even to a seasoned engineer like Newcombe, the language read at first as bizarre and esoteric—a zoo of symbols.

this is a failure of education. Though programming was born in mathematics, it has since largely been divorced from it. Most programmers aren’t very fluent in the kind of math—logic and set theory, mostly—that you need to work with TLA+. “Very few programmers—and including very few teachers of programming—understand the very basic concepts and how they’re applied in practice. And they seem to think that all they need is code,” Lamport says. “The idea that there’s some higher level than the code in which you need to be able to think precisely, and that mathematics actually allows you to think precisely about it, is just completely foreign. Because they never learned it.”

“In the 15th century,” he said, “people used to build cathedrals without knowing calculus, and nowadays I don’t think you’d allow anyone to build a cathedral without knowing calculus. And I would hope that after some suitably long period of time, people won’t be allowed to write programs if they don’t understand these simple things.”

Programmers, as a species, are relentlessly pragmatic. Tools like TLA+ reek of the ivory tower. When programmers encounter “formal methods” (so called because they involve mathematical, “formally” precise descriptions of programs), their deep-seated instinct is to recoil.

Formal methods had an image problem. And the way to fix it wasn’t to implore programmers to change—it was to change yourself. Newcombe realized that to bring tools like TLA+ to the programming mainstream, you had to start speaking their language.

he presented TLA+ as a new kind of “pseudocode,” a stepping-stone to real code that allowed you to exhaustively test your algorithms—and that got you thinking precisely early on in the design process. “Engineers think in terms of debugging rather than ‘verification,’” he wrote, so he titled his internal talk on the subject to fellow Amazon engineers “Debugging Designs.” Rather than bemoan the fact that programmers see the world in code, Newcombe embraced it. He knew he’d lose them otherwise. “I’ve had a bunch of people say, ‘Now I get it,’” Newcombe says.

In the world of the self-driving car, software can’t be an afterthought. It can’t be built like today’s airline-reservation systems or 911 systems or stock-trading systems. Code will be put in charge of hundreds of millions of lives on the road and it has to work. That is no small task.

This month, a study that analyzed electronic medical records in California found that nearly a third of the people struggling with long Covid symptoms — like shortness of breath, cough and abdominal pain — did not have any signs of illness in the first 10 days after they tested positive for the coronavirus. Surveys by patient-led groups have also found that many Covid survivors with long-term symptoms were never hospitalized for the disease.

Participants in the study were overwhelmingly white, and 70 percent were women. Dr. Navis and others said that the lack of diversity quite likely reflected the demographics of people able to seek care relatively early in the pandemic rather than the full spectrum of people affected by post-Covid neurological sympto

In the Northwestern study, 43 percent of the patients had depression before having Covid-19; 16 percent had previous autoimmune diseases, the same percentage of patients who had previous lung disease or had struggled with insomnia.

“Waking up every day in this body, sometimes hope feels a little dangerous,” said Ms. Khan, who will soon start the cognitive rehab program. “I have to wonder: Am I going to recover, or am I going to just figure out how to live with my new brain?”

Security concerns, moreover, keep most information about stockpile purchases under wraps. Details about the contracts and inventory are rarely made public, and even the storage locations are secret.

Former Emergent employees, government contractors, members of Congress, biodefense experts and current and former officials from agencies that oversee the stockpile described a deeply dysfunctional system that contributed to the shocking shortages last year.

Purchases are supposed to be based on careful assessments by government officials of how best to save lives, but many have also been influenced by Emergent’s bottom line

The stockpile has long been the company’s biggest and most reliable customer for its anthrax vaccines, which expire and need to be replaced every few years.

In the two decades since the repository was created, Emergent’s aggressive tactics, broad political connections and penchant for undercutting competitors have given it remarkable sway over the government’s purchasing decisions related to the vaccines

While national security officials still consider anthrax a threat, it has not received specific mention since 2012 in the intelligence community’s annual public assessment of dangers facing the country, a report that has repeatedly warned of pandemics.

Emergent bought the license for the country’s only approved anthrax vaccine in 1998 from the State of Michigan. Over time, the price per dose the government agreed to pay Emergent increased nearly sixfold, accounting for inflation, contributing to record revenues last year that topped $1.5 billion

The company, whose board is stocked with former federal officials, has deployed a lobbying budget more typical of some big pharmaceutical companies

Competing efforts to develop a better and cheaper anthrax vaccine, for example, collapsed after Emergent outmaneuvered its rivals, the documents and interviews show.

preparations for an outbreak like Covid-19 almost always took a back seat to Emergent’s anthrax vaccines

the government approved a plan in 2015 to buy tens of millions of N95 respirators — lifesaving equipment for medical workers that has been in short supply because of Covid-19 — but the masks repeatedly lost out in the competition for funding over the years leading up to the pandemic

After Dr. Frieden and others in the Obama administration tried but failed to lessen Emergent’s dominance over stockpile purchases, the company’s fortunes rose under Mr. Trump, who appointed a former Emergent consultant with a background in bioterrorism to run the office that now oversees the stockpile

“If I could spend less on anthrax replenishment, I could buy more N95s,” Dr. Kadlec said in an interview shortly after leaving office. “I could buy more ventilators. I could buy more of other things that quite frankly I didn’t have the money to buy.”

And now, as some members of Congress push for larger reserves of ventilators, masks and other equipment needed in a pandemic, a trade group led in part by a top Emergent lobbyist has warned that the purchases could endanger companies focused on threats like anthrax and smallpox by drawing down limited funds.

Last year, as the pandemic raced across the country, the government paid Emergent $626 million for products that included vaccines to fight an entirely different threat: a terrorist attack using anthrax.

“I think it’s pretty clear that the benefit of the vaccine is marginal,” he said in an interview

“They’re very vicious in their behavior toward anybody they perceive as having a different point of view,” said Dr. Tara O’Toole, a former Homeland Security official who says she ran afoul of Emergent in 2010 after telling Congress that the nation needed a newer and better anthrax vaccine.

That year, the company that would become Emergent — then known as BioPort — paid Michigan $25 million to buy the license for a government-developed anthrax vaccine and an aging manufacturing plant.

The company opened its doors with one product, called BioThrax, and one customer, the Defense Department, which required the vaccine for service members.

Emergent’s anthrax vaccine was not the government’s first choice. It was more than 30 years old and plagued by manufacturing challenges and complaints about side effects. Officials instead backed a company named VaxGen, which was developing a vaccine using newer technology licensed from the military.

Emergent’s successful campaign against VaxGen — deploying a battalion of lobbyists, publicly attacking its rival and warning that it might cease production of its own vaccine if the government didn’t buy it — established its formidable reputation. By 2006, VaxGen had lost its contract and the government had turned to Emergent to supply BioThrax.

“They were totally feared by everybody,” Dr. Philip Russell, a top health official in the administration of President George W. Bush, said in an interview. He said that he clashed with Emergent when he backed VaxGen, and that his reputation came under attack, which was documented by The Times in 2006. (Dr. Russell died this January.)

the group of federal officials who make decisions about the stockpile and other emergency preparations — known as the Phemce, for the Public Health Emergency Medical Countermeasures Enterprise — ordered up a study. It found in 2010 that the government could not afford to devote so much of its budget to a single threat.

Instead, the review concluded, the government should invest more in products with multiple applications, like diagnostic tests, ventilators, reusable respirator masks and “plug and play” platforms that can rapidly develop vaccines for a range of outbreaks.

from 2010 through 2018, the anthrax vaccine consumed more than 40 percent of the stockpile’s budget, which averaged $560 million during those years.

Emergent and the government have withheld details of the stockpile contracts, including how much the company has charged for each dose of BioThrax, but executives have shared some of the missing information with investors.

The company in 1998 agreed to charge the government an average of about $3.35 per dose, documents show. By 2010, the price had risen to about $28, according to financial disclosures and statements by Emergent executives, and now it is about $30

Over the past 15 years, the company recorded a gross profit margin of about 75 percent for the vaccine, in an arrangement that one Emergent vice president called a “monopoly.”

Emergent’s rise is the stuff of lore in biodefense circles — a tale of savvy dealings, fortuitous timing and tough, competitive tactics.

One afternoon in October 2010, Wall Street investors gathered at the Millennium Broadway Hotel in Manhattan for a presentation by Mr. Burrows. He shared with them a secret number: 75 million.That was how many BioThrax doses the government had committed to stockpiling, and it was the backbone of Emergent’s thriving business. In pursuit of that goal, the government had already spent more than $900 million, and it continued to buy virtually every dose Emergent could produce. It had even awarded the company more than $100 million to expand its Michigan factory.

“The best approach toward anthrax is antimicrobial therapy,” Dr. Anthony S. Fauci, the government’s top infectious-disease expert, told Congress as early as 2007.

In an analysis published in 2007, the firm determined that giving antibiotics immediately after a large outdoor anthrax attack was likely to reduce serious illnesses by more than 80 percent. Administering the vaccine would then cut serious illnesses only by an additional 4 percent.

Dr. Ali S. Khan, who ran the C.D.C. office managing the stockpile until 2014, said bluntly: “We overpaid.”

“A bunch of people, including myself, were sitting in a room and asking what kind of attack might happen,” said Dr. Kenneth Bernard, a top biodefense adviser to Mr. Bush, recalling a meeting in the months after the 2001 attacks.

“And somebody said, ‘Well, I can’t imagine anyone attacking more than three cities at once,’” he said. “So we took the population of a major U.S. city and multiplied by three.”

A team of Homeland Security and health officials began doing just that in 2013. The group determined, in a previously undisclosed analysis, that the government could stockpile less BioThrax and still be prepared for a range of plausible attacks, according to two people involved in the assessment. Separately, government researchers concluded that two doses of BioThrax provided virtually the same protection as three.

the National Intelligence Council, which helped draft the assessments during Mr. Obama’s second term, said in an interview that the idea of a three-city attack affecting 25 million people was “straining credulity.”

“If you talk to the head of the House Intelligence Committee,” Don Elsey, Emergent’s chief financial officer, told investors in 2011, “and you say, ‘What are you most worried about?’ he’ll say, ‘Let me see: Number one, anthrax; number two, anthrax; number three, anthrax.’”

Emergent’s sales strategy was to address that fear by promising the federal government peace of mind with its vaccine.

“There’s a political element involved,” Mr. Burrows, the company’s vice president of investor relations, said at an industry conference in 2016. “I don’t have a marketing expense. I have lobbying expense.”

Since 2010, the company has spent an average of $3 million a year on lobbying — far outspending similarly sized biotech firms, and roughly matching the outlays of two pharmaceutical companies with annual revenues at least 17 times greater, AstraZeneca and Bristol Myers Squibb

In 2015, as stockpile managers questioned the large purchases of BioThrax, the spending topped $4 million

“They were pouring it on — how poor they were and how this was going to ruin the company, and they’d have to close down factories, and America was going to be left without anthrax vaccine,”

“Their revolving door is moving at 60 miles per hour,” said former Senator Claire McCaskill, a Democrat from Missouri who had questioned spending on the vaccine while in the Senate. “There is really a lot of incestuousness because it’s such a specialized field.”

Ms. DeLorenzo, the Emergent spokeswoman, said the lobbying was necessary because government investment “in biodefense and other public health threats has not been as strongly prioritized as it should be.”

Over the past 10 years, Emergent’s political action committee has spread almost $1.4 million in campaign contributions among members of both partie

The move followed a yearslong pattern of retaining a bipartisan lobbying corps of former agency officials, staff members and congressmen, including Pete Hoekstra of Michigan, Tom Latham of Iowa and Jim Saxton of New Jersey.

“You have people coming and saying, ‘There’s no market for this — nobody’s going to produce this unless you buy enough of it to keep the production line open,’” he said. “It’s an absolutely appropriate argument to make.”

Emergent’s campaign proved effective. Despite the 2015 recommendation by the stockpile managers, Senate overseers made clear they opposed the reduction, and the government went ahead and bought $300 million worth of BioThrax.

Emergent executives, meanwhile, warned that there could be job losses at the factory in Lansing, Mich. — the capital of a swing state at the center of a contentious presidential campaign between Mr. Trump and Hillary Clinton.

Because Emergent was the sole manufacturer of a product deemed critical to national security, the company has played what one former executive described to The Times as “the we’re-going-to-go-bankrupt card.”

Dr. Hatchett said the idea gave him pause. But, he explained in an interview, “if there’s only one partner that can provide a product and only one customer for that product, the customer needs the partner to survive.”

Just a year later, Emergent spent about $200 million in cash, and made other financial commitments, to acquire Sanofi’s smallpox vaccine and GlaxoSmithKline’s anthrax treatment, two products with established pipelines to the stockpile. The purchases expanded Emergent’s hold over the reserve.

Ms. DeLorenzo said the acquisitions did not suggest the company was better off than it had claimed, but Dr. Bright said he and others involved in the bailout felt used.

a plan five years earlier to create an emergency supply of N95 respirators was simply not funded. A team of experts had proposed buying tens of millions of the masks to fill the gap during an outbreak until domestic manufacturing could ramp up, according to five officials involved in the assessment, which has not been previously disclosed.

By the time the novel coronavirus emerged, the stockpile had only 12 million of the respirators. The stockpile has since set a goal of amassing 300 million.

Dr. Kadlec, the Trump administration official overseeing the stockpile, said he used the previous administration’s mask recommendation to raise alarms as early as 2018.

Dr. Annie De Groot, chief executive of the small vaccine company EpiVax, spoke about the need to break Emergent’s lock on research dollars at a biodefense forum in 2015.

“Politicians want to look like they’ve addressed the problem,” she said. “But we need to actually listen to the scientists.”

Over the last five years, Emergent has received nearly a half-billion dollars in federal research and development funding, the company said in its financial disclosures.

“We know ahead of time when funding opportunities are going to come out,” Barbara Solow, a senior vice president, told investors in 2017. “When we talk to the government, we know how to speak the government’s language around contracting.”

The company used federal money to make improvements to BioThrax, and also found a way to earn government money from a competing anthrax vaccine it had excoriated. After the demise of VaxGen in 2006, Emergent bought the company’s unfinished vaccine and in 2010 persuaded the federal government to continue paying for research on it

By the time the research contract was canceled in 2016, Emergent had collected about $85 million, records show. The company then shelved the vaccine. “If the U.S. government withdraws funding, we re-evaluate whether there is any business case for continuing,” Ms. DeLorenzo said.

For more than 30 years, the government had been encouraging the development of a BioThrax replacement. In 2002, the Institute of Medicine had concluded that an alternative based on more modern technology was “urgently needed.” By 2019, there were three leading candidates, including one made by Emergent, known as AV7909.

Emergent’s candidate was hardly the breakthrough the government was seeking, former health officials said. AV7909 was essentially an enhanced version of BioThrax. The competitors were using more modern technology that could produce doses more rapidly and consistently, and were promising significant cost savings for the stockpile.

To qualify for emergency authorization, a vaccine must be at an advanced stage of development with no approved alternatives. Emergent acknowledged in its financial disclosures that there was “considerable uncertainty” whether the new vaccine met those requirements.

The election of Mr. Trump as president was good news for Emergent.

Dr. Lurie, the senior health official in the Obama administration who had tried to scale back BioThrax purchases, was out. Mr. Trump’s pick to replace her was Dr. Kadlec, a career Air Force physician and top biodefense official in the Bush administration who was fixated on bioterrorism threats, especially anthrax, current and former officials said

Soon after entering the Trump administration in 2017, Dr. Kadlec took a series of actions that he characterized as streamlining a cumbersome bureaucracy but that had the effect of benefiting Emergent.

He assumed greater control of purchasing decisions, diminishing the authority of the Phemce, the oversight group that had proposed buying less BioThrax. And in 2018, he backed a decision to move control of the stockpile to his office in the Department of Health and Human Services and away from the C.D.C., which is based in Atlanta and prides itself on being insulated from the influence of lobbyists.

Dr. Frieden, the former C.D.C. director, was strongly opposed. The move, he said, “had almost as an explicit goal to give the lobbyists more say in what got purchased.”

That July, the government made the announcement Emergent had been banking on, committing to buying millions of doses. Separately, it said it would stop funding Emergent’s competitors.

The decision to side with Emergent did not surprise Dr. Khan, the former C.D.C. official overseeing the stockpile.“Again and again, we seem unable to move past an old technology that’s bankrupting the stockpile,” he said.

Last month, as the death toll from Covid-19 neared a half-million, Mr. Kramer, the company’s chief executive, told analysts there had been no “evidence of a slowdown or a delay or a deprioritization,” and echoed a statement he had made in April when asked whether the pandemic might interrupt Emergent’s sales to the stockpile.“It’s pretty much business as usual,” he said then.

What began as a revolutionary set of technologies ended up concentrating enormous private power over key services and locking in business models that come at extraordinary cost to our privacy and security.

The trajectory of the Web 2.0 era was not inevitable — it was instead shaped by a broad range of policy choices. And we now face another moment of choice. As the use of A.I. becomes more widespread, public officials have a responsibility to ensure this hard-learned history doesn’t repeat itself.

the Federal Trade Commission is taking a close look at how we can best achieve our dual mandate to promote fair competition and to protect Americans from unfair or deceptive practices.

we already can see several risks. The expanding adoption of A.I. risks further locking in the market dominance of large incumbent technology firms. A handful of powerful businesses control the necessary raw materials that start-ups and other companies rely on to develop and deploy A.I. tools. This includes cloud services and computing power, as well as vast stores of data.

Enforcers have the dual responsibility of watching out for the dangers posed by new A.I. technologies while promoting the fair competition needed to ensure the market for these technologies develops lawfully.

generative A.I. risks turbocharging fraud. It may not be ready to replace professional writers, but it can already do a vastly better job of crafting a seemingly authentic message than your average con artist — equipping scammers to generate content quickly and cheaply.

bots are even being instructed to use words or phrases targeted at specific groups and communities. Scammers, for example, can draft highly targeted spear-phishing emails based on individual users’ social media posts. Alongside tools that create deep fake videos and voice clones, these technologies can be used to facilitate fraud and extortion on a massive scale.

we will look not just at the fly-by-night scammers deploying these tools but also at the upstream firms that are enabling them.

these A.I. tools are being trained on huge troves of data in ways that are largely unchecked. Because they may be fed information riddled with errors and bias, these technologies risk automating discrimination

We once again find ourselves at a key decision point. Can we continue to be the home of world-leading technology without accepting race-to-the-bottom business models and monopolistic control that locks out higher quality products or the next big idea? Yes — if we make the right policy choices.

agents will open up many more learning opportunities.

Already, AI can help you pick out a new TV and recommend movies, books, shows, and podcasts. Likewise, a company I’ve invested in, recently launched Pix, which lets you ask questions (“Which Robert Redford movies would I like and where can I watch them?”) and then makes recommendations based on what you’ve liked in the past

Productivity

copilots can do a lot—such as turn a written document into a slide deck, answer questions about a spreadsheet using natural language, and summarize email threads while representing each person’s point of view.

I don’t think any single company will dominate the agents business--there will be many different AI engines available.

Helping patients and healthcare workers will be especially beneficial for people in poor countries, where many never get to see a doctor at all.

To create a new app or service, you won’t need to know how to write code or do graphic design. You’ll just tell your agent what you want. It will be able to write the code, design the look and feel of the app, create a logo, and publish the app to an online store

Agents will do even more. Having one will be like having a person dedicated to helping you with various tasks and doing them independently if you want. If you have an idea for a business, an agent will help you write up a business plan, create a presentation for it, and even generate images of what your product might look like

For decades, I’ve been excited about all the ways that software would make teachers’ jobs easier and help students learn. It won’t replace teachers, but it will supplement their work—personalizing the work for students and liberating teachers from paperwork and other tasks so they can spend more time on the most important parts of the job.

Mental health care is another example of a service that agents will make available to virtually everyone. Today, weekly therapy sessions seem like a luxury. But there is a lot of unmet need, and many people who could benefit from therapy don’t have access to it.

Entertainment and shopping

The real shift will come when agents can help patients do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.

They’ll replace word processors, spreadsheets, and other productivity apps.

Education

For example, few families can pay for a tutor who works one-on-one with a student to supplement their classroom work. If agents can capture what makes a tutor effective, they’ll unlock this supplemental instruction for everyone who wants it. If a tutoring agent knows that a kid likes Minecraft and Taylor Swift, it will use Minecraft to teach them about calculating the volume and area of shapes, and Taylor’s lyrics to teach them about storytelling and rhyme schemes. The experience will be far richer—with graphics and sound, for example—and more personalized than today’s text-based tutors.

your agent will be able to help you in the same way that personal assistants support executives today. If your friend just had surgery, your agent will offer to send flowers and be able to order them for you. If you tell it you’d like to catch up with your old college roommate, it will work with their agent to find a time to get together, and just before you arrive, it will remind you that their oldest child just started college at the local university.

To see the dramatic change that agents will bring, let’s compare them to the AI tools available today. Most of these are bots. They’re limited to one app and generally only step in when you write a particular word or ask for help. Because they don’t remember how you use them from one time to the next, they don’t get better or learn any of your preferences.

The current state of the art is Khanmigo, a text-based bot created by Khan Academy. It can tutor students in math, science, and the humanities—for example, it can explain the quadratic formula and create math problems to practice on. It can also help teachers do things like write lesson plans.

Businesses that are separate today—search advertising, social networking with advertising, shopping, productivity software—will become one business.

other issues won’t be decided by companies and governments. For example, agents could affect how we interact with friends and family. Today, you can show someone that you care about them by remembering details about their life—say, their birthday. But when they know your agent likely reminded you about it and took care of sending flowers, will it be as meaningful for them?

In the computing industry, we talk about platforms—the technologies that apps and services are built on. Android, iOS, and Windows are all platforms. Agents will be the next platform.

A shock wave in the tech industry

Agents won’t simply make recommendations; they’ll help you act on them. If you want to buy a camera, you’ll have your agent read all the reviews for you, summarize them, make a recommendation, and place an order for it once you’ve made a decision.

Agents will affect how we use software as well as how it’s written. They’ll replace search sites because they’ll be better at finding information and summarizing it for you

they’ll be dramatically better. You’ll be able to have nuanced conversations with them. They will be much more personalized, and they won’t be limited to relatively simple tasks like writing a letter.

Companies will be able to make agents available for their employees to consult directly and be part of every meeting so they can answer questions.

AI agents that are well trained in mental health will make therapy much more affordable and easier to get. Wysa and Youper are two of the early chatbots here. But agents will go much deeper. If you choose to share enough information with a mental health agent, it will understand your life history and your relationships. It’ll be available when you need it, and it will never get impatient. It could even, with your permission, monitor your physical responses to therapy through your smart watch—like if your heart starts to race when you’re talking about a problem with your boss—and suggest when you should see a human therapist.

If the number of companies that have started working on AI just this year is any indication, there will be an exceptional amount of competition, which will make agents very inexpensive.

Agents are smarter. They’re proactive—capable of making suggestions before you ask for them. They accomplish tasks across applications. They improve over time because they remember your activities and recognize intent and patterns in your behavior. Based on this information, they offer to provide what they think you need, although you will always make the final decisions.

Agents are not only going to change how everyone interacts with computers. They’re also going to upend the software industry, bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.

In the distant future, agents may even force humans to face profound questions about purpose. Imagine that agents become so good that everyone can have a high quality of life without working nearly as much. In a future like that, what would people do with their time? Would anyone still want to get an education when an agent has all the answers? Can you have a safe and thriving society when most people have a lot of free time on their hands?

The ramifications for the software business and for society will be profound.

In the next five years, this will change completely. You won’t have to use different apps for different tasks. You’ll simply tell your device, in everyday language, what you want to do. And depending on how much information you choose to share with it, the software will be able to respond personally because it will have a rich understanding of your life. In the near future, anyone who’s online will be able to have a personal assistant powered by artificial intelligence that’s far beyond today’s technology.

You’ll also be able to get news and entertainment that’s been tailored to your interests. CurioAI, which creates a custom podcast on any subject you ask about, is a glimpse of what’s coming.

An agent will be able to help you with all your activities if you want it to. With permission to follow your online interactions and real-world locations, it will develop a powerful understanding of the people, places, and activities you engage in. It will get your personal and work relationships, hobbies, preferences, and schedule. You’ll choose how and when it steps in to help with something or ask you to make a decision.

even the best sites have an incomplete understanding of your work, personal life, interests, and relationships and a limited ability to use this information to do things for you. That’s the kind of thing that is only possible today with another human being, like a close friend or personal assistant.

The most exciting impact of AI agents is the way they will democratize services that today are too expensive for most people

They’ll have an especially big influence in four areas: health care, education, productivity, and entertainment and shopping.

after Mr. Trump won the election that year, the world seemed to blame tech companies for his victory. The resulting “techlash” against Facebook and others caused some industry leaders to reassess their political views, a trend that continued through the social and political turmoil of the pandemic.

The start-up industry has also been in a downturn since 2022, with higher interest rates sending capital fleeing from risky bets and a dismal market for initial public offerings crimping opportunities for investors to cash in on their valuable investments.

Some investors said they were frustrated that his pick for chair of the Federal Trade Commission, Lina Khan, has aggressively moved to block acquisitions, one of the main ways venture capitalists make money. They said they were also unhappy that Mr. Biden’s pick for head of the Securities and Exchange Commission, Gary Gensler, had been hostile to cryptocurrency companies.

Last month, Mr. Sacks, Mr. Thiel, Elon Musk and other prominent investors attended an “anti-Biden” dinner in Hollywood, where attendees discussed fund-raising and ways to oppose Democrats,

Some also said they disliked Mr. Biden’s proposal in March to raise taxes, including a 25 percent “billionaire tax” on certain holdings that could include start-up stock, as well as a higher tax rate on profits from successful investments.

“If you keep telling someone over and over that they’re evil, they’re eventually not going to like that,” he said. “I see that in venture capital.”

Some tech investors are also fuming over how Mr. Biden has handled foreign affairs and other issues.

Mr. Andreessen, a founder of Andreessen Horowitz, a prominent Silicon Valley venture firm, said in a recent podcast that “there are real issues with the Biden administration.” Under Mr. Trump, he said, the S.E.C. and F.T.C. would be headed by “very different kinds of people.” But a Trump presidency would not necessarily be a “clean win” either, he added.

Mr. Sacks said at the tech conference last week that he thought such taxes could kill the start-up industry’s system of offering stock options to founders and employees. “It’s a good reason for Silicon Valley to think really hard about who it wants to vote for,” he said.

“Tech, venture capital and Silicon Valley are looking at the current state of affairs and saying, ‘I’m not happy with either of those options,’” he said. “‘I can no longer count on Democrats to support tech issues, and I can no longer count on Republicans to support business issues.’”

Ben Horowitz, a founder of Andreessen Horowitz, wrote in a blog post last year that the firm would back any politician who supported “an optimistic technology-enabled future” and oppose any who did not. Andreessen Horowitz has donated $22 million to Fairshake, a political action group focused on supporting crypto-friendly lawmakers.

Venture investors are also networking with lawmakers in Washington at events like the Hill & Valley conference in March, organized by Jacob Helberg, an adviser to Palantir, a tech company co-founded by Mr. Thiel. At that event, tech executives and investors lobbied lawmakers against A.I. regulations and asked for more government spending to support the technology’s development in the United States.

This month, Mr. Helberg, who is married to Mr. Rabois, donated $1 million to the Trump campaign

to Quetta, for nearly a year

the elder Rahami was dubious of the Taliban and detested ISIS.

“Muslims make too much trouble in this country.”

Mohammad Rahami told him he was from Kandahar and had been part of the mujahedeen in Afghanistan that fought the Soviet Army

he had become more religious and had taken to wearing Muslim robes

He used to wear Western-style clothing, and customers said he gave little indication of his heritage.

“It’s like he was a completely different person,” Mr. Jones said. “He got serious and completely closed off.”

“Where did he really go and what did he do overseas that a kid who lived a normal New Jersey life came back as a sophisticated bomb maker and terrorist?”

Rahami family’s filing a lawsuit in 2011 against the city and its Police Department

Collisions between those worlds sometimes led to rifts with his father, who was more religious and traditional.

Both of those cities’ reputations have become entwined with the militant groups who have sheltered there:

He was arrested in 2014 on weapons and aggravated assault charges for allegedly stabbing a relative in the leg in a domestic incident

In June 2010, two of Ahmad Rahami’s brothers, Mohammad K. and Mohammad Q., were arrested after an altercation with police officers who had shown up after 10 to tell them to close down for the night.

The Rahamis said Mr. McDermott told them that “Muslims make too much trouble in this country” and “Muslims should not have businesses here.”

“It was neighbor complaints; it had nothing to do with his ethnicity or religion. It had to do with noise and people congregating on the streets.”

Sept. 16, 2011, said that Mr. Rahami had been hospitalized and that his family was in Afghanistan “but returning over the next few days.

At 10:30 on Sunday night, the bombs having gone off and the hunt for the perpetrator well underway, Junior Robinson, 19, stopped in at First American Fried Chicken for some drumsticks and fries.

Mohammad Rahami served him.

Ahmad Rahami was not there. Mr. Robinson gave that no thought.

This was not a new tactic, but it was newly effective. It didn’t matter that its targets knew that it was a bad-faith maneuver, a clear bid for power rather than an attempt to engage or reason. The referees called foul, but nobody could hear them over the roar of the crowds. Or maybe they could, but realized that nobody could make them listen.

This was a story the likes of which was an enormous force in this election, clearly designed to function well within Facebook’s economy of sharing. And it probably would not run afoul of the narrow definition of “fake news.”

Stories like that one get to the heart of the rhetorical and strategic risk of holding up “fake news” as a broad media offensive position, especially after an election cycle characterized by the euphoric inversion of rhetoric by some of Mr. Trump’s supporters, and by the candidate himself

This tactic was used on the language of social justice, which was appropriated by opponents and redeployed nihilistically, in an open effort to sap its power while simultaneously taking advantage of what power it retained

Anti-racists were cast as the real racists. Progressives were cast as secretly regressive on their own terms

The overarching claims of the story were disingenuous and horrifying; the facts it included had been removed from all useful context and placed in a new, sinister one; its insinuating mention of “Muslim martyrs,” in proximity to mentions of Mr. Khan’s son, and its misleading and strategic mention of Shariah law, amounted to a repulsive smear. It was a story that appealed to bigoted ideas and that would clearly appeal to those who held them.

This wide formulation of “fake news” will be applied back to the traditional news media, which does not yet understand how threatened its ability is to declare things true, even when they are.

the worst identified defenders make their money outside Facebook anyway.

Another narrow response from Facebook could be to assert editorial control over external forces

Facebook is a place where people construct and project identities to friends, family and peers. It is a marketplace in which news is valuable mainly to the extent that it serves those identities. It is a system built on ranking and vetting and votin

Fake news operations are closely aligned with the experienced incentives of the Facebook economy

the outrage is at risk of being misdirected, and will be followed by the realization that the colloquial “fake news” — the newslike media, amateur and professional, for which truth is defined first in personal and political terms, and which must only meet the bar of not being obviously, inarguably, demonstrably false — will continue growing apace, gaining authority by sheer force

Media companies have spent years looking to Facebook, waiting for the company to present a solution to their mounting business concerns

Those who expect the operator of the dominant media ecosystem of our time, in response to getting caught promoting lies, to suddenly return authority to the companies it has superseded are in for a similar surprise.

Hawks in the Bush administration like Vice President Dick Cheney urged Mr. Bush to consider a military strike against the Iranian nuclear facilities before they could produce fuel suitable for a weapon. Several times, the administration reviewed military options and concluded that they would only further inflame a region already at war, and would have uncertain results.

The first stage in the effort was to develop a bit of computer code called a beacon that could be inserted into the computers, which were made by the German company Siemens and an Iranian manufacturer, to map their operations. The idea was to draw the equivalent of an electrical blueprint of the Natanz plant, to understand how the computers control the giant silvery centrifuges that spin at tremendous speeds. The connections were complex, and unless every circuit was understood, efforts to seize control of the centrifuges could fail.

The first attacks were small, and when the centrifuges began spinning out of control in 2008, the Iranians were mystified about the cause, according to intercepts that the United States later picked up.

The unusually tight collaboration with Israel was driven by two imperatives. Israel’s Unit 8200, a part of its military, had technical expertise that rivaled the N.S.A.’s, and the Israelis had deep intelligence about operations at Natanz that would be vital to making the cyberattack a success.

Soon the two countries had developed a complex worm that the Americans called “the bug.” But the bug needed to be tested. So, under enormous secrecy, the United States began building replicas of Iran’s P-1 centrifuges, an aging, unreliable design that Iran purchased from Abdul Qadeer Khan, the Pakistani nuclear chief who had begun selling fuel-making technology on the black market.

“This is the first attack of a major nature in which a cyberattack was used to effect physical destruction,” rather than just slow another computer, or hack into it to steal data.

It took months for the beacons to do their work and report home, complete with maps of the electronic directories of the controllers and what amounted to blueprints of how they were connected to the centrifuges deep underground. Then the N.S.A. and a secret Israeli unit respected by American intelligence officials for its cyberskills set to work developing the enormously complex computer worm that would become the attacker from within.

the code would lurk inside the plant for weeks, recording normal operations; when it attacked, it sent signals to the Natanz control room indicating that everything downstairs was operating normally. “This may have been the most brilliant part of the code,” one American official said.

the Iranians had grown so distrustful of their own instruments that they had assigned people to sit in the plant and radio back what they saw.

Mr. Bush urged him to preserve two classified programs, Olympic Games and the drone program in Pakistan. Mr. Obama took Mr. Bush’s advice.

Mr. Obama authorized the attacks to continue, and every few weeks — certainly after a major attack — he would get updates and authorize the next step. Sometimes it was a strike riskier and bolder than what had been tried previously. “From his first days in office, he was deep into every step in slowing the Iranian program — the diplomacy, the sanctions, every major decision,” a senior administration official said. “And it’s safe to say that whatever other activity might have been under way was no exception to that rule.”

In the summer of 2010, shortly after a new variant of the worm had been sent into Natanz, it became clear that the worm, which was never supposed to leave the Natanz machines, had broken free, like a zoo animal that found the keys to the cage.

An error in the code, they said, had led it to spread to an engineer’s computer when it was hooked up to the centrifuges. When the engineer left Natanz and connected the computer to the Internet, the American- and Israeli-made bug failed to recognize that its environment had changed. It began replicating itself all around the world.

“We think there was a modification done by the Israelis,” one of the briefers told the president, “and we don’t know if we were part of that activity.”

Mr. Obama, according to officials in the room, asked a series of questions, fearful that the code could do damage outside the plant. The answers came back in hedged terms. Mr. Biden fumed. “It’s got to be the Israelis,” he said. “They went too far.”

American cyberattacks are not limited to Iran, but the focus of attention, as one administration official put it, “has been overwhelmingly on one country.” There is no reason to believe that will remain the case for long. Some officials question why the same techniques have not been used more aggressively against North Korea. Others see chances to disrupt Chinese military plans, forces in Syria on the way to suppress the uprising there, and Qaeda operations around the world. “We’ve considered a lot more attacks than we have gone ahead with,” one former intelligence official said.

In fact, no country’s infrastructure is more dependent on computer systems, and thus more vulnerable to attack, than that of the United States. It is only a matter of time, most experts believe, before it becomes the target of the same kind of weapon that the Americans have used, secretly, against Iran.

Just around the headland is Sevastopol, the protected port and naval base where Tolstoy once served on the ramparts. During the Second World War, it was besieged and leveled by German bombers despite a heroic stand by the Soviet Army and partisans

An hour’s car ride away is Yalta, where czars vacationed and Chekhov wrote “The Cherry Orchard.”

In 1783, when Catherine the Great wrested control from the Tatar khan and the Ottoman Turks, hundreds of thousands of Tatars fled the advancing Russian armies. A century and a half later, in 1944, those who remained behind were scooped up by Stalin and deported to Central Asia

Has Crimea also now become a Sudetenland? Or is it just a Grenada? Some Western commentators have already suggested the former, comparing President Vladimir V. Putin’s dispatch of Russian forces to Hitler’s 1938 annexation of German-populated parts of Czechoslovakia.

The United States typically interprets its own actions through the lens of its principles. It reads the principles of other countries from their behavior. In most instances that leads to precisely the hypocrisies that Russia, China and other countries find so easy to condemn.

This interpretive frame may be hard to understand, but some things are not wrong just because Russians happen to believe them. Russian news crews were covering a real story in Ukraine: the chaotic dismantling of a legally sanctioned government, the quick breakdown of an agreed framework for new elections, and the creeping transformation of political disputes into ethnic ones.

he Crimean affair is a grand experiment in Mr. Putin’s strategy of equivalence: countering every criticism of his government’s behavior with a page from the West’s own playbook. If his government has a guiding ideology, it is not the concept of restoring the old Soviet Union. It is rather his commitment to exposing what Russian politicians routinely call the “double standards” of American and European foreign policy and revealing the hidden workings of raison d’état — the hardnosed and pragmatic calculation of interests that average citizens from Moscow to Beijing to New Delhi actually believe drives the policies of all great powers.

In a poll carried out in late February by the independent, Moscow-based Levada Center, 43 percent of Russians called the overthrow of Mr. Yanukovych a violent coup and 23 percent labeled the developing situation a civil war. A plurality of respondents saw the entire affair as an orchestrated attempt by the West to draw Ukraine into its geopolitical orbit.

First, the European Union, the United States, and Russia must all agree that the principal goal is to prevent greater violence

European and American officials must be clear on the reasons why the international community should band together to condemn Russian actions. It is not because of the violation of national sovereignty — a concept imperfectly defended by Americans and Europeans in recent years — but because Mr. Putin’s reserving the right to protect the “Russian-speaking population” of Ukraine is an affront to the basis of international order

It is Mr. Putin who has made ethnic nationalism a defining element of foreign policy.

The future of Ukraine is now no longer about Kiev’s Independence Square, democracy in Ukraine or European integration. It is about how to preserve a vision of Europe — and, indeed, of the world — where countries give up the idea that people who speak a language we understand are the only ones worth protecting.

No longer were they just tribal men fighting to preserve their way of life; they started dreaming they could convert everyone to it.

Pakistan’s rulers have developed a strange fetish for lionizing its tormenters.

Why does Pakistan’s political and military élite celebrate the very people it is fighting? The logic—or its absence—goes like this: Hakimullah Mehsud was our enemy. But the United States is also our enemy. So how dare the Americans kill him? And how dare they kill him when we had made up our minds to talk to him? If the United States is talking to the Afghan Taliban, why can’t we talk to our own Taliban?

he popular narrative in Pakistan holds that the Taliban’s fight is simply a reaction to American drone strikes: it’s a war between American kids sitting in front of LCD screens eating their TV dinners and our own men in the north, who are better Muslims than we are.

When Mehsud was killed, instead of celebrating or letting out quiet sighs of relief, politicians and journalists reacted as if they had lost a favorite son. He had killed many of us, but we weren’t craving vengeance; we were ready to make up and cuddle.

“This is not just the killing of one person,” Pakistan’s interior minister, Chaudhry Nisar Ali Khan, said. “It’s the death of all peace efforts.”

As a result, we now have a raging national debate, in which serious-minded journalists are asking even more serious-minded politicians and religious scholars if the godless Soviet soldiers killed by American-funded mujahideen in Afghanistan in the nineteen-eighties should also be declared martyrs.