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“Subjecting 5-year-olds to this technology will not make anyone safer, and we can’t allow invasive surveillance to become the norm in our public spaces,” said Stefanie Coyle, deputy director of the Education Policy Center for the New York Civil Liberties Union.

When the system is on, Mr. LiPuma said, the software looks at the faces captured by the hundreds of cameras and calculates whether those faces match a “persons of interest” list made by school administrators.

Jayde McDonald, a political science major at Buffalo State College, grew up as one of the few black students in Lockport public schools. She said she thought it was too risky for the school to install a facial recognition system that could automatically call the police.

“I’m not sure where they are in the school or even think I’ve seen them,” said Brooke Cox, 14, a freshman at Lockport High School. “I don’t fully know why we have the cameras. I haven’t been told what their purpose is.”

“If suspended students are put on the watch list, they are going to be scrutinized more heavily,” he said, which could lead to a higher likelihood that they could enter into the criminal justice system.

Days after the district announced that the technology had been turned on, some students said they had been told very little about how it worked.

“We all want to keep our children safe in school,” she said. “But there are more effective, proven ways to do so that are less costly.”

Messenger RNA is a powerful, if fickle, component of life’s building blocks — a workhorse of the cell that is also truly just a messenger, unstable and prone to degrade.

. In 1990,

That same year, a team at the University of Wisconsin startled the scientific world with a paper that showed it was possible to inject a snippet of messenger RNA into mice and turn their muscle cells into factories, creating proteins on demand.

If custom-designed RNA snippets could be used to turn cells into bespoke protein factories, messenger RNA could become a powerful medical tool. It could encode fragments of virus to teach the immune system to defend against pathogens. It could also create whole proteins that are missing or damaged in people with devastating genetic diseases, such as cystic fibrosis.

In 2005, the pair discovered a way to modify RNA, chemically tweaking one of the letters of its code, so it didn’t trigger an inflammatory response. Deborah Fuller, a scientist who works on RNA and DNA vaccines at the University of Washington, said that work deserves a Nobel Prize.

messenger RNA posed a bigger challenge than other targets.“It’s tougher — it’s a much bigger molecule, it’s much more unstable,”

Unlike fields that were sparked by a single powerful insight, Sahin said that the recent success of messenger RNA vaccines is a story of countless improvements that turned an alluring biological idea into a beneficial technology.

“This is a field which benefited from hundreds of inventions,” said Sahin, who noted that when he started BioNTech in 2008, he cautioned investors that the technology would not yield a product for at least a decade. He kept his word: Until the coronavirus sped things along, BioNTech projected the launch of its first commercial project in 2023.

“It’s new to you,” Fuller said. “But for basic researchers, it’s been long enough. . . . Even before covid, everyone was talking: RNA, RNA, RNA.”

All vaccines are based on the same underlying idea: training the immune system to block a virus. Old-fashioned vaccines do this work by injecting dead or weakened viruses

ewer vaccines use distinctive bits of the virus, such as proteins on their surface, to teach the lesson. The latest genetic techniques, like messenger RNA, don’t take as long to develop because those virus bits don’t have to be generated in a lab. Instead, the vaccine delivers a genetic code that instructs cells to build those characteristic proteins themselves.

They wanted the immune system to learn to recognize the thumb tack spike, so McLellan tasked a scientist in his laboratory with identifying genetic mutations that could anchor the protein into the right configuration. It was a painstaking process for Nianshuang Wang, who now works at a biotechnology company, Regeneron Pharmaceuticals. After trying hundreds of genetic mutations, he found two that worked. Five journals rejected the finding, questioning its significance, before it was published in 2017.

That infection opened Graham’s eyes to an opportunity. HKU1 was merely a nuisance, as opposed to a deadly pneumonia; that meant it would be easier to work with in the lab, since researchers wouldn’t have to don layers of protective gear and work in a pressurized laboratory.

Severe acute respiratory syndrome had emerged in 2003. Middle East respiratory syndrome (MERS) broke out in 2012. It seemed clear to Graham and Jason McLellan, a structural biologist now at the University of Texas at Austin, that new coronaviruses were jumping into people on a 10-year-clock and it might be time to brace for the next one.

Last winter, when Graham heard rumblings of a new coronavirus in China, he brought the team back together. Once its genome was shared online by Chinese scientists, the laboratories in Texas and Maryland designed a vaccine, utilizing the stabilizing mutations and the knowledge they had gained from years of basic research — a weekend project thanks to the dividends of all that past work.

Graham needed a technology that could deliver it into the body — and had already been working with Moderna, using its messenger RNA technology to create a vaccine against a different bat virus, Nipah, as a dress rehearsal for a real pandemic. Moderna and NIH set the Nipah project aside and decided to go forward with a coronavirus vaccine.

On Jan. 13, Moderna’s Moore came into work and found her team already busy translating the stabilized spike protein into their platform. The company could start making the vaccine almost right away because of its experience manufacturing experimental cancer vaccines, which involves taking tumor samples and developing personalized vaccines in 45 days.

At BioNTech, Sahin said that even in the early design phases of its vaccine candidates, he incorporated the slight genetic changes designed in Graham’s lab that would make the spike look more like the real thing. At least two other companies would incorporate that same spike.

If all goes well with regulators, the coronavirus vaccines have the makings of a pharmaceutical industry fairy tale. The world faced an unparalleled threat, and companies leaped into the fight. Pfizer plowed $2 billion into the effort. Massive infusions of government cash helped remove the financial risks for Moderna.

But the world will also owe their existence to many scientists outside those companies, in government and academia who pursued ideas they thought were important even when the world doubted them

Some of those scientists will receive remuneration, since their inventions are licensed and integrated into the products that could save the world.

As executives become billionaires, many scientists think it is fair to earn money from their inventions that can help them do more important work. But McLellan’s laboratory at the University of Texas is proud to have licensed an even more potent version of their spike protein, royalty-free, to be incorporated into a vaccine for low and middle income countries.

“They’re using the technology that [Kariko] and I developed,” he said. “We feel like it’s our vaccine, and we are incredibly excited — at how well it’s going, and how it’s going to be used to get rid of this pandemic.”

“People hear about [vaccine progress] and think someone just thought about it that night. The amount of work — it’s really a beautiful story of fundamental basic research,” Fauci said. “It was chancy, in the sense that [the vaccine technology] was new. We were aware there would be pushback. The proof in the pudding is a spectacular success.”

The Vaccine Research Center, where Graham is deputy director, was the brainchild of Anthony S. Fauci, director of the National Institute of Allergy and Infectious Diseases. It was created in 1997 to bring together scientists and physicians from different disciplines to defeat diseases, with a heavy focus on HIV.

the pandemic wasn’t a sudden eureka moment — it was a catalyst that helped ignite lines of research that had been moving forward for years, far outside the spotlight of a global crisis.

when Mr. Nichol tweaked his requests a little, adding or subtracting a few words here or there, it provided what he wanted. When he asked for “a piano in a living room filled with sand,” the image looked more like a beach in a living room.

DALL-E is what artificial intelligence researchers call a neural network, which is a mathematical system loosely modeled on the network of neurons in the brain.

the same technology that recognizes the commands spoken into smartphones and identifies the presence of pedestrians as self-driving cars navigate city streets.

A neural network learns skills by analyzing large amounts of data. By pinpointing patterns in thousands of avocado photos, for example, it can learn to recognize an avocado.

DALL-E looks for patterns as it analyzes millions of digital images as well as text captions that describe what each image depicts. In this way, it learns to recognize the links between the images and the words.

With digital tools and data science, demand for energy can now be sculpted locally to match available resources, reducing the number of power plants that utilities need to keep in reserve.

The key is giving consumers the ability to separate flexible energy uses—say, operating a Jacuzzi—from essential needs, which can now be done with phone apps for smart appliances and service panels.

Meanwhile, connections between groups of customers can be opened and closed as needed with modern, communicating circuit switchgear.

The good news is that record amounts of batteries are being installed in U.S. homes and on the electric grid, despite supply-chain bottlenecks.

The bad news is that current battery technology only offers a few hours of storage. What’s needed are more-powerful battery systems that can extend the length or scale of storing, which could be even more enabling to sun and wind power.

Two such solutions are on the horizon. Stationary metal-air batteries, such as iron-air batteries, don’t hold as much energy per kilogram as lithium-ion batteries so it takes a larger, heavier battery to do the job. But they are cheaper, iron is a plentiful metal, and the batteries, whose chemistry works via interaction of the metal with air, can be sized and installed to store and discharge a large level of electricity over days or weeks.

improved large iron-air batteries are poised to become a great new backup for renewable energy within the next couple of years to address those times of year when drops in renewable energy production can last for days and not hours.

For households, a battery configuration called a virtual power plant also holds huge potential to extend the use of renewables. These systems allow a local utility or electricity distributor to collect excess energy stored in multiple households’ battery systems and feed it back to the grid when there is a surge in demand or generation shortfall.

Electrification is a good choice for smaller vessels on short voyages, like the world’s largest all-electric ferry launched in Norway in 2021. It isn’t yet a viable option for ships on transoceanic voyages because batteries are still too large and heavy, though innovative approaches for battery swapping are being explored.

Greener Shipping

For longer voyages, e-ammonia, a hydrogen-derived fuel made with renewable energy, has been identified as a prime candidate, although work is needed to ensure safety. Ammonia has a higher energy density than some other options, making it a more economical option for powering large ships across oceans.

Among ammonia projects in the works, MAN Energy Solutions is developing engines that can run on conventional fossil fuel or ammonia, a coalition of Nordic partners is designing the world’s first ammonia-powered vessel, and Singapore is evaluating how to bunker the fuel.

Some EV makers such as Tesla are now embracing an older, less-expensive battery technology known as lithium-iron-phosphate, or LFP, used originally in scooters and small EVs in China

. It draws entirely on cheap and abundant minerals and is less flammable. The power density of LFP is less than NMC, but that disadvantage can be overcome by advances in vehicle design.

One approach being tested eliminates the outer packaging of the batteries altogether and directly installs cells, packed in layers, into a cavity in the EV’s body chassis.

Eventually, solid-state batteries—with a solid electrolyte made from common minerals like glass or ceramics—could become a key EV battery technology.

The solid electrolyte is more chemically stable, lighter, recharges faster and has many more lifetime recharging cycles than lithium-ion batteries, which depend on heavy liquid electrolytes.

these innovations are good news for those hoping to speed up EV adoption. They also suggest that batteries, far from becoming a standardized commodity, are going to be customized as auto makers create their own vehicle designs and battery makers develop proprietary platforms.

this is like if Russell Moore came out and said that, on the whole, Christianity turns out to be a bad thing. It’s that big of a deal.

Thompson’s case centers around constraints and supply, particularly as they apply to content creation.

In the pre-internet days, creating and distributing content was relatively expensive, which placed content publishers—be they newspapers, or TV stations, or movie studios—high on the value chain.

The internet reduced distribution costs to zero and this shifted value away from publishers and over to aggregators: Suddenly it was more important to aggregate an audience—a la Google and Facebook—than to be a content creator.

Audiences were valuable; content was commoditized.

What has alarmed Thompson is that AI has now reduced the cost of creating content to zero.

what does the world look like when both the creation and distribution of content are zero?

Hellscape

We’re headed to a place where content is artificially created and distributed in such a way as to be tailored to a given user’s preferences. Which will be the equivalent of living in a hall of mirrors.

What does that mean for news? Nothing good.

It doesn’t really make sense to talk about “news media” because there are fundamental differences between publication models that are driven by scale.

So the challenges the New York Times face will be different than the challenges that NPR or your local paper face.

Two big takeaways:

(1) Ad-supported publications will not survive

Zero-cost for content creation combined with zero-cost distribution means an infinite supply of content. The more content you have, the more ad space exists—the lower ad prices go.

Actually, some ad-supported publications will survive. They just won’t be news. What will survive will be content mills that exist to serve ads specifically matched to targeted audiences.

(2) Size is determinative.

The New York Times has a moat by dint of its size. It will see the utility of its soft “news” sections decline in value, because AI is going to be better at creating cooking and style content than breaking hard news. But still, the NYT will be okay because it has pivoted hard into being a subscription-based service over the last decade.

At the other end of the spectrum, independent journalists should be okay. A lone reporter running a focused Substack who only needs four digits’ worth of subscribers to sustain them.

But everything in between? That’s a crapshoot.

Technology writers sometimes talk about the contrast between “builders” and “conservers” — roughly speaking, between those who are most animated by what we stand to gain from technology and those animated by what we stand to lose.

in our moment the builder and conserver types are proving quite mercurial. On issues ranging from Big Tech to medicine, human enhancement to technologies of governance, the politics of technology are in upheaval.

Dispositions are supposed to be basically fixed. So who would have thought that deep blue cities that yesterday were hotbeds of vaccine skepticism would today become pioneers of vaccine passports? Or that outlets that yesterday reported on science and tech developments in reverent tones would today make it their mission to unmask “tech bros”?

One way to understand this churn is that the builder and the conserver types each speak to real, contrasting features within human nature. Another way is that these types each pick out real, contrasting features of technology. Focusing strictly on one set of features or the other eventually becomes unstable, forcing the other back into view.

on many important issues, civilization only destroys itself by extending the number of important operations that we can perform without thinking about them. On many issues, we want more thinking, not less.

Given that our online tools and platforms are built in a way to make our browsing experience as frictionless as possible, is it any surprise that so much of our personal information is disclosed without our ever realizing it?

Instead of having the designer think through all the moral and political implications of technology use before it reaches users — an impossible task — we must find a way to get users to do some of that thinking themselves.

most designers, following Wilde, think of technologies as nothing more than mechanical slaves that must maximize efficiency. But some are realizing that technologies don’t have to be just trivial problem-solvers: they can also be subversive troublemakers, making us question our habits and received ideas.

Recently, designers in Germany built devices — “transformational products,” they call them — that engage users in “conversations without words.” My favorite is a caterpillar-shaped extension cord. If any of the devices plugged into it are left in standby mode, the “caterpillar” starts twisting as if it were in pain. Does it do what normal extension cords do? Yes. But it also awakens users to the fact that the cord is simply the endpoint of a complex socio-technical system with its own politics and ethics. Before, designers have tried to conceal that system. In the future, designers will be obliged to make it visible.

Will such extra seconds of thought — nay, contemplation — slow down civilization? They well might. But who said that stopping to catch a breath on our way to the abyss is not a sensible strategy?

In the study, based on a survey and follow-up interviews, data-driven decision making was defined not only by collecting data, but also by how it is used — or not — in making crucial decisions, like whether to create a new product or service. The central distinction, according to Mr. Brynjolfsson, is between decisions based mainly on “data and analysis” and on the traditional management arts of “experience and intuition.”

The technology absorption lag accounts for the delayed productivity benefits, observes Robert J. Gordon, an economist at Northwestern University. “It’s never pure technology that makes the difference,” Mr. Gordon says. “It’s reorganizing things — how work is done. And technology does allow new forms of organization.”

The Internet, according to Mr. Gordon, qualifies as the third industrial revolution — but one that will prove far more short-lived than the previous two. “I think we’re seeing hints that we’re running through inventions of the Internet revolution,” he says.

This does not mean they will succeed in fixing every problem their tech creates — and in some cases their fixes may well raise other problems, like questions about their power over freedom of expression. But at least they can try to address the wide variety of externalities posed by tech, which may have been impossible for an internet more fragmented by smaller firms.

Rob Atkinson, president of the Information Technology and Innovation Foundation, a think tank, and co-author of “Big Is Beautiful,” a coming book that extols the social and economic virtues of big companies.

“As long as their innovation rents are recycled into research and development that leads to new products, then what’s to complain about?”

At the same time, they are all locked in intense battles for new markets and technologies. And not only do they keep creating new tech, but they are coming at it in diverse ways — with different business models, different philosophies and different sets of ethics.

it was perhaps inevitable that we would see the rise of a handful of large companies take control of much of the modern tech business.

But it wasn’t inevitable that these companies would be based in and controlled from the United States. And it’s not obvious that will remain the case — the top tech companies of tomorrow might easily be Chinese, or Indian or Russian or European. But for now, that means we are dealing with companies that feel constrained by American laws and values.

He points out that if one HIV vaccine had succeeded, the company behind it would have won big. Instead, all of the competitors in the vaccine field learned from collective failure and contributed to collective wisdom. The many false starts of HIV vaccination sired an explosion of new technologies and helped usher in a possible new golden age of vaccines.

We can call our record-breaking vaccine-development process good luck. Or we can call it what it really is: a ringing endorsement for the essential role of science in the world.

As a parable of scientific progress, I sometimes imagine the life cycle of a tree. Basic scientific research plants a variety of seeds. Some of these seeds fail entirely; the research goes nowhere. Some seeds become tiny shrubs; the research doesn’t fail entirely, but it produces little of value

And some seeds blossom into towering trees with abundant fruit that scientists, companies, and technologists pluck and turn into the products that change our lives. For years, mRNA technology looked like a shrub. In 2020, it blossomed in full view.

None of that is true. This week, Facebook rushed to deny a report in Gizmodo that said the team in charge of its “trending” news list routinely suppressed conservative points of view. Last month, Gizmodo also reported that Facebook employees asked Mark Zuckerberg, the social network’s chief executive, if the company had a responsibility to “help prevent President Trump in 2017.” Facebook denied it would ever try to manipulate elections.

Even if you believe that Facebook isn’t monkeying with the trending list or actively trying to swing the vote, the reports serve as timely reminders of the ever-increasing potential dangers of Facebook’s hold on the news.

The question isn’t whether Facebook has outsize power to shape the world — of course it does, and of course you should worry about that power. If it wanted to, Facebook could try to sway elections, favor certain policies, or just make you feel a certain way about the world, as it once proved it could do in an experiment devised to measure how emotions spread online.

There is no evidence Facebook is doing anything so alarming now. The danger is nevertheless real. The biggest worry is that Facebook doesn’t seem to recognize its own power, and doesn’t think of itself as a news organization with a well-developed sense of institutional ethics and responsibility, or even a potential for bias. Neither does its audience, which might believe that Facebook is immune to bias because it is run by computers.

That myth should die. It’s true that beyond the Trending box, most of the stories Facebook presents to you are selected by its algorithms, but those algorithms are as infused with bias as any other human editorial decision.

“With Facebook, humans are never not involved. Humans are in every step of the process — in terms of what we’re clicking on, who’s shifting the algorithms behind the scenes, what kind of user testing is being done, and the initial training data provided by humans.”Everything you see on Facebook is therefore the product of these people’s expertise and considered judgment, as well as their conscious and unconscious biases apart from possible malfeasance or potential corruption. It’s often hard to know which, because Facebook’s editorial sensibilities are secret. So are its personalities: Most of the engineers, designers and others who decide what people see on Facebook will remain forever unknown to its audience.

Facebook also has an unmistakable corporate ethos and point of view. The company is staffed mostly by wealthy coastal Americans who tend to support Democrats, and it is wholly controlled by a young billionaire who has expressed policy preferences that many people find objectionable.

You could argue that none of this is unusual. Many large media outlets are powerful, somewhat opaque, operated for profit, and controlled by wealthy people who aren’t shy about their policy agendas — Bloomberg News, The Washington Post, Fox News and The New York Times, to name a few.But there are some reasons to be even more wary of Facebook’s bias. One is institutional. Many mainstream outlets have a rigorous set of rules and norms about what’s acceptable and what’s not in the news business.

Those algorithms could have profound implications for society. For instance, one persistent worry about algorithmic-selected news is that it might reinforce people’s previously held points of view. If News Feed shows news that we’re each likely to Like, it could trap us into echo chambers and contribute to rising political polarization. In a study last year, Facebook’s scientists asserted the echo chamber effect was muted.

are Facebook’s engineering decisions subject to ethical review? Nobody knows.

The other reason to be wary of Facebook’s bias has to do with sheer size. Ms. Caplan notes that when studying bias in traditional media, scholars try to make comparisons across different news outlets. To determine if The Times is ignoring a certain story unfairly, look at competitors like The Washington Post and The Wall Street Journal. If those outlets are covering a story and The Times isn’t, there could be something amiss about the Times’s news judgment.Such comparative studies are nearly impossible for Facebook. Facebook is personalized, in that what you see on your News Feed is different from what I see on mine, so the only entity in a position to look for systemic bias across all of Facebook is Facebook itself. Even if you could determine the spread of stories across all of Facebook’s readers, what would you compare it to?

if apps weren’t dominant, would we have a richer variety of digital services from a broader array of companies?

In the early smartphone era, there was a tug of war between technologies that were more like websites and the apps we know today. Apps won, mostly because they were technically superior.

control. Apple and Google dictate much of what is allowed on the world’s phones. There are good outcomes from this, including those companies weeding out bad or dangerous apps and giving us one place to find them.

ith unhappy side effects. Apple and Google charge a significant fee on many in-app purchases, and they’ve forced app makers into awkward workarounds.

You know what’s free from Apple and Google’s iron grip? The web. Smartphones could lean on the web instead.

This is about imagining an alternate reality where companies don’t need to devote money to creating apps that are tailored to iPhones and Android phones, can’t work on any other devices and obligate app makers to hand over a cut of each sale.

Maybe more smaller digital companies could thrive. Maybe our digital services would be cheaper and better. Maybe we’d have more than two dominant smartphone systems

It's one of the most consequential laws governing the internet, and it provided a crucial liability shield for technology companies for content they didn't themselves create, like comment threads.

and it has never even been updated to take into account any of the technological changes that have happened since.

What Rule 230 isn't (though it's often portrayed that way) is a bedrock for free speech protections: It's simply a rule that permits internet companies to moderate what other people put on their platforms — or not — without being on the hook legally for everything that happens to be there

There is an opportunity to use technology to protect people's ability to safely participate in democracy and enable a different America — the America we witnessed in Georgia on Tuesday — and a different world.

After Republicans lost the White House, the House and then the Senate, technology companies no longer feel pressure to cozy up to conservatives to keep their prerogatives.

But don't mistake the technology industry's lobbying points about free speech as being related to any real care for American democracy.

The major technology platforms enabling hate speech all have one thing in common with our 45th president: self-interest.

Freedom of speech is truly a value to cherish, but we cherish it through facilitating the expression of truth, not the unfettered right to spew lies and incite violence without consequence.

“ I design projects that prove companies can be profitable when the end result is better stewardship of our planet. I think it’s the most ethical thing we can do for those who will come after us. Sometimes, like in ecological projects, that end result just happens to be a hundred years from now. Which isn’t that long when you consider how trees grow or lakes fill.”

The third idea is that faith in science can serve as a comprehensive belief system that gives meaning to life, as well. as a sense of well-being, morality, and even immortality.

the spirit behind this scientific ideal inspired several men to believe that the reliable and predictable knowledge that could be obtained about stars and atoms could also be obtained about human behavior.

They held in common two beliefs to which T echnopoly is deeply indebted: that the natural sciences provide a method to unlock the secrets of both the human heart and the direction of social life; that society can be rationally and humanely reorganized according to principles that social science will uncover. It is with these men that the idea of "social engineering" begins and the seeds of Scientism are planted.

Scientists do strive to be empirical and where possible precise, but it is also basic to their enterprise that they maintain a high degree of objectivity, which means that they study things independently of what people think or do about them.

The status of social-science methods is further reduced by the fact that there are almost no experiments that will reveal a social-science theory to be false.

Freud, could not imagine how the book could be judged exemplary: it was science or it was nothing. Well, of course, Freud was wrong. His work is exemplary-indeed, monumental-but scarcely anyone believes today that Freud was doing science, any more than educated people believe that Marx was doing science, or Max Weber or Lewis Mumford or Bruno Bettelheim or Carl Jung or Margaret Mead or Arnold Toynbee. What these people were doing-and Stanley Milgram was doing-is documenting the behavior and feelings of people as they confront problems posed by their culture.

the stories of social r~searchers are much closer in structure and purpose to what is called imaginative literature; that is to say, both a social researcher and a novelist give unique interpretations to a set of human events and support their interpretations with examples in various forms. Their interpretations cannot be proved or disproved but will draw their appeal from the power of their language, the depth of their explanations, the relevance of their examples, and the credibility of their themes.

Both the novelist and the social researcher construct their stories by the use of archetypes and metaphors.

Why do such social researchers tell their stories? Essentially for didactic and moralistic purposes. These men and women tell their stories for the same reason the Buddha, Confucius, Hillel, and Jesus told their stories (and for the same reason D. H. Lawrence told his).

Moreover, in their quest for objectivity, scientists proceed on the assumption that the objects they study are indifferent to the fact that they are being studied.

Unlike science, social research never discovers anything. It only rediscovers what people once were told and need to be told again.

Only in knowing ~omething of the reasons why they advocated education can we make sense of the means they suggest. But to understand their reas.ons we must also understand the narratives that governed their view of the world. By narrative, I mean a story of human history that gives meaning to the past, explains the present, and provides guidance for the future.

In Technopoly, it is not Scientism 159 enough to say, it is immoral and degrading to allow people to be homeless. You cannot get anywhere by asking a judge, a politician, or a bureaucrat to r~ad Les Miserables or Nana or, indeed, the New Testament. Y 01.i must show that statistics have produced data revealing the homeless to be unhappy and to be a drain on the economy. Neither Dostoevsky nor Freud, Dickens nor Weber, Twain nor Marx, is now a dispenser of legitimate knowledge. They are interesting; they are ''.worth reading"; they are artifacts of our past. But as for "truth," we must tum to "science."

In Technopoly, it is not enough for social research to rediscover ancient truths or to comment on and criticize the moral behavior of people. In T echnopoly, it is an insult to call someone a "moralizer." Nor is it sufficient for social research to put forward metaphors, images, and ideas that can help people live with some measure of understanding and dignity.

That is why the commonplaces that people fear death and that children who come from stable families valuing scholarship will do well in school must be announced as "discoveries" of scientific enterprise. In this way, social resear~hers can see themselves, and can be seen, as scientists, researchers without bias or values, unburdened by mere opinion. In this way, social policies can be claimed to rest on objectively determined facts.

given the psychological, social, and material benefits that attach to the label "scientist," it is not hard to see why social researchers should find it hard to give it up.

Our social "s'cientists" have from the beginning been less tender of conscience, or less rigorous in their views of science, or perhaps just more confused about the questions their procedures can answer and those they cannot. In any case, they have not been squeamish about imputing to their "discoveries" and the rigor of their procedures the power to direct us in how we ought rightly to behave.

When the new technologies and techniques and spirit of men like Galileo, Newton, and Bacon laid the foundations of natural science, they also discredited the authority of earlier accounts of the physical world, as found, for example, in the great tale of Genesis. By calling into question the truth of such accounts in one realm, science undermined the whole edifice of belief in sacred stories and ultimately swept away with it the source to which most humans had looked for moral authority. It is not too much to say, I think, that the desacralized world has been searching for an alternative source of moral authority ever since.

This, then, is what I mean by Scientism.

It is the desperate hope, and wish, and ultimately the illusory belief that some standardized set of procedures called "science" can provide us with an unimpeachable source of moral authority, a suprahuman basis for answers to questions like "What is life, and when, and why?" "Why is death, and suffering?" 'What is right and wrong to do?" "What are good and evil ends?" "How ought we to think and feel and behave?

To ask of science, or expect of science, or accept unchallenged from science the answers to such questions is Scientism. And it is Technopoly's grand illusion.

In the institutional form it has taken in the United States, advertising is a symptom of a world-view 'that sees tradition as an obstacle to its claims. There can, of course, be no functioning sense of tradition without a measure of respect for symbols. Tradition is, in fact, nothing but the acknowledgment of the authority of symbols and the relevance of the narratives that gave birth to them. With the erosion of symbols there follows a loss of narrative, which is one of the most debilitating consequences of Technopoly' s power.

What this means is that somewhere near the core of Technopoly is a vast industry with license to use all available symbols to further the interests of commerce, by devouring the psyches of consumers.

In the twentieth century, such metaphors and images have come largely from the pens of social historians and researchers. ·Think of John Dewey, William James, Erik Erikson, Alfred Kinsey, Thorstein Veblen, Margaret Mead, Lewis Mumford, B. F. Skinner, Carl Rogers, Marshall McLuhan, Barbara Tuchman, Noam Chomsky, Robert Coles, even Stanley Milgram, and you must acknowledge that our ideas of what we are like and what kind of country we live in come from their stories to a far greater extent than from the stories of our most renowned novelists.

social idea that must be advanced through education.

The point is that cultures must have narratives and will find them where they will, even if they lead to catastrophe. The alternative is to live without meaning, the ultimate negation of life itself.

by definition, there can be no education philosophy that does not address what learning is for. Confucius, Plato, Quintilian, Cicero, Comenius, Erasmus, Locke, Rousseau, Jefferson, Russell, Montessori, Whitehead, and Dewey--each believed that there was some transcendent political, spiritual, or

There are those who believe--as did the great historian Arnold Toynbee-that without a comprehensive religious narrative at its center a culture must decline. Perhaps. There are, after all, other sources-mythology, politics, philosophy, and science; for example--but it is certain that no culture can flourish without narratives of transcendent orjgin and power.

What story does American education wish to tell now? In a growing Technopoly, what do we believe education is for?

nto this void comes the Technopoly story, with its emphasis on progress without limits, rights without responsibilities, and technology without cost. The T echnopoly story is without a moral center. It puts in its place efficiency, interest, and economic advance. It promises heaven on earth through the conveniences of technological progress. It casts aside all traditional narratives and symbols that· suggest stability and orderliness, and tells, instead, of a life of skills, technical expertise, and the ecstasy of consumption. Its purpose is to produce functionaries for an ongoing Technopoly.

he forces his employees to bridge the enormous gap between technological reality and his dreams. This disconnect fosters a negligent and sometimes cruel workplace, to disastrous effect.

That fully self-driving announcement that so delighted his fans came as a far more jarring revelation to the project’s engineers, who found out about their staggering new mission when Mr. Musk tweeted about it.

This is the fundamental weakness of every organization run as a cult of personality: The dear leader can’t be everywhere or make every decision but often fails to provide the clear code of values that allows managers to independently shape their decisions around common goals.

Lawsuits by workers and California’s Department of Fair Employment and Housing allege that Black workers were tasked with menial physical labor in parts of the factory nicknamed “the plantation,” where they were subjected to racist slurs and graffiti.

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Female workers have sued, alleging a pervasive culture of sexual harassment and groping by supervisors. Mr. Musk was indifferent, emailing workers who experienced abuse that “it is important to be thick-skinned.”

He ultimately gave up and cobbled together a manual-labor-intensive production line in an open-air tent.

Mr. Musk’s reliance on hype is especially jarring.

By moving to buy Twitter, Mr. Musk has not only added another distraction to his long list but has also already shown the same drive to announce sweeping decisions in public.

Ultimately Mr. Musk’s goals for Twitter, as they are for Tesla, are not about making the right decisions for his companies or the people who make them possible.

They are about playing to the crowd and burnishing the legend that keeps fresh bodies and minds moving through the businesses that chew them up and spit them out.

In the modern tech world, the value of a humanistic education shows up in evidence of its absence. Sam Bankman-Fried, the disgraced founder of the crypto exchange FTX who recently lost his $16 billion fortune in a few days, is a famously proud illiterate. “I would never read a book,” he once told an interviewer. “I don’t want to say no book is ever worth reading, but I actually do believe something pretty close to that.”

Elon Musk and Twitter are another excellent case in point. It’s painful and extraordinary to watch the ham-fisted way a brilliant engineering mind like Musk deals with even relatively simple literary concepts such as parody and satire. He obviously has never thought about them before.

The extraordinary ignorance on questions of society and history displayed by the men and women reshaping society and history has been the defining feature of the social-media era. Apparently, Mark Zuckerberg has read a great deal about Caesar Augustus, but I wish he’d read about the regulation of the pamphlet press in 17th-century Europe. It might have spared America the annihilation of social trust.

These failures don’t derive from mean-spiritedness or even greed, but from a willful obliviousness. The engineers do not recognize that humanistic questions—like, say, hermeneutics or the historical contingency of freedom of speech or the genealogy of morality—are real questions with real consequences

Everybody is entitled to their opinion about politics and culture, it’s true, but an opinion is different from a grounded understanding. The most direct path to catastrophe is to treat complex problems as if they’re obvious to everyone. You can lose billions of dollars pretty quickly that way.

As the technologists have ignored humanistic questions to their peril, the humanists have greeted the technological revolutions of the past 50 years by committing soft suicide.

As of 2017, the number of English majors had nearly halved since the 1990s. History enrollments have declined by 45 percent since 2007 alone

the humanities have not fundamentally changed their approach in decades, despite technology altering the entire world around them. They are still exploding meta-narratives like it’s 1979, an exercise in self-defeat.

Contemporary academia engages, more or less permanently, in self-critique on any and every front it can imagine.

the situation requires humanists to explain why they matter, not constantly undermine their own intellectual foundations.

The humanities promise students a journey to an irrelevant, self-consuming future; then they wonder why their enrollments are collapsing. Is it any surprise that nearly half of humanities graduates regret their choice of major?

Despite the clear value of a humanistic education, its decline continues. Over the past 10 years, STEM has triumphed, and the humanities have collapsed. The number of students enrolled in computer science is now nearly the same as the number of students enrolled in all of the humanities combined.

now there’s GPT-3. Natural-language processing presents the academic humanities with a whole series of unprecedented problems

Practical matters are at stake: Humanities departments judge their undergraduate students on the basis of their essays. They give Ph.D.s on the basis of a dissertation’s composition. What happens when both processes can be significantly automated?

despite the drastic divide of the moment, natural-language processing is going to force engineers and humanists together. They are going to need each other despite everything. Computer scientists will require basic, systematic education in general humanism: The philosophy of language, sociology, history, and ethics are not amusing questions of theoretical speculation anymore. They will be essential in determining the ethical and creative use of chatbots, to take only an obvious example.

The humanists will need to understand natural-language processing because it’s the future of language

that space for collaboration can exist, both sides will have to take the most difficult leaps for highly educated people: Understand that they need the other side, and admit their basic ignorance.

But that’s always been the beginning of wisdom, no matter what technological era we happen to inhabit.

Most A.I. researchers agree that models trained using R.L.H.F. are better behaved than models without it. But some argue that fine-tuning a language model this way doesn’t actually make the underlying model less weird and inscrutable. In their view, it’s just a flimsy, friendly mask that obscures the mysterious beast underneath.

In a nutshell, the joke was that in order to prevent A.I. language models from behaving in scary and dangerous ways, A.I. companies have had to train them to act polite and harmless. One popular way to do this is called “reinforcement learning from human feedback,” or R.L.H.F., a process that involves asking humans to score chatbot responses, and feeding those scores back into the A.I. model.

Shoggoths are fictional creatures, introduced by the science fiction author H.P. Lovecraft in his 1936 novella “At the Mountains of Madness.” In Lovecraft’s telling, Shoggoths were massive, blob-like monsters made out of iridescent black goo, covered in tentacles and eyes.

@TetraspaceWest said, wasn’t necessarily implying that it was evil or sentient, just that its true nature might be unknowable.

And it reinforces the notion that what’s happening in A.I. today feels, to some of its participants, more like an act of summoning than a software development process. They are creating the blobby, alien Shoggoths, making them bigger and more powerful, and hoping that there are enough smiley faces to cover the scary parts.

“I was also thinking about how Lovecraft’s most powerful entities are dangerous — not because they don’t like humans, but because they’re indifferent and their priorities are totally alien to us and don’t involve humans, which is what I think will be true about possible future powerful A.I.”

when Bing’s chatbot became unhinged and tried to break up my marriage, an A.I. researcher I know congratulated me on “glimpsing the Shoggoth.” A fellow A.I. journalist joked that when it came to fine-tuning Bing, Microsoft had forgotten to put on its smiley-face mask.

@TetraspaceWest, the meme’s creator, told me in a Twitter message that the Shoggoth “represents something that thinks in a way that humans don’t understand and that’s totally different from the way that humans think.”

In any case, the Shoggoth is a potent metaphor that encapsulates one of the most bizarre facts about the A.I. world, which is that many of the people working on this technology are somewhat mystified by their own creations. They don’t fully understand the inner workings of A.I. language models, how they acquire new capabilities or why they behave unpredictably at times. They aren’t totally sure if A.I. is going to be net-good or net-bad for the world.

That some A.I. insiders refer to their creations as Lovecraftian horrors, even as a joke, is unusual by historical standards. (Put it this way: Fifteen years ago, Mark Zuckerberg wasn’t going around comparing Facebook to Cthulhu.)

If it’s an A.I. safety researcher talking about the Shoggoth, maybe that person is passionate about preventing A.I. systems from displaying their true, Shoggoth-like nature.

A great many people are dismissive of suggestions that any of these systems are “really” thinking, because they’re “just” doing something banal (like making statistical predictions about the next word in a sentence). What they fail to appreciate is that there is every reason to suspect that human cognition is “just” doing those exact same things. It matters not that birds flap their wings but airliners don’t. Both fly. And these machines think. And, just as airliners fly faster and higher and farther than birds while carrying far more weight, these machines are already outthinking the majority of humans at the majority of tasks. Further, that machines aren’t perfect thinkers is about as relevant as the fact that air travel isn’t instantaneous. Now consider: we’re well past the Wright flyer level of thinking machine, past the early biplanes, somewhere about the first commercial airline level. Not quite the DC-10, I think. Can you imagine what the AI equivalent of a 777 will be like? Fasten your seatbelts.

@thomas h. You make my point perfectly. You’re observing that the way a plane flies — by using a turbine to generate thrust from combusting kerosene, for example — is nothing like the way that a bird flies, which is by using the energy from eating plant seeds to contract the muscles in its wings to make them flap. You are absolutely correct in that observation, but it’s also almost utterly irrelevant. And it ignores that, to a first approximation, there’s no difference in the physics you would use to describe a hawk riding a thermal and an airliner gliding (essentially) unpowered in its final descent to the runway. Further, you do yourself a grave disservice in being dismissive of the abilities of thinking machines, in exactly the same way that early skeptics have been dismissive of every new technology in all of human history. Writing would make people dumb; automobiles lacked the intelligence of horses; no computer could possibly beat a chess grandmaster because it can’t comprehend strategy; and on and on and on. Humans aren’t nearly as special as we fool ourselves into believing. If you want to have any hope of acting responsibly in the age of intelligent machines, you’ll have to accept that, like it or not, and whether or not it fits with your preconceived notions of what thinking is and how it is or should be done … machines can and do think, many of them better than you in a great many ways. b&

@BLA. You are incorrect. Everything has nature. Its nature is manifested in making humans react. Sure, no humans, no nature, but here we are. The writer and various sources are not attributing nature to AI so much as admitting that they don’t know what this nature might be, and there are reasons to be scared of it. More concerning to me is the idea that this field is resorting to geek culture reference points to explain and comprehend itself. It’s not so much the algorithm has no soul, but that the souls of the humans making it possible are stupendously and tragically underdeveloped.

When even tech companies are saying AI is moving too fast, and the articles land on page 1 of the NYT (there's an old reference), I think the greedy will not think twice about exploiting this technology, with no ethical considerations, at all.

@nome sane? The problem is it isn't data as we understand it. We know what the datasets are -- they were used to train the AI's. But once trained, the AI is thinking for itself, with results that have surprised everybody.

The unique feature of a shoggoth is it can become whatever is needed for a particular job. There's no actual shape so it's not a bad metaphor, if an imperfect image. Shoghoths also turned upon and destroyed their creators, so the cautionary metaphor is in there, too. A shame more Asimov wasn't baked into AI. But then the conflict about how to handle AI in relation to people was key to those stories, too.

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.”