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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

“My first and biggest wish is that we had known early that Covid-19 was airborne,”

, “Once you’ve realized that, it informs an entirely different strategy for protection.” Masking, ventilation and air cleaning become key, as well as avoiding high-risk encounters with strangers, he says.

Instead of washing our produce and wearing hand-sewn cloth masks, we could have made sure to avoid superspreader events and worn more-effective N95 masks or their equivalent. “We could have made more of an effort to develop and distribute N95s to everyone,” says Dr. Volckens. “We could have had an Operation Warp Speed for masks.”

We didn’t realize how important clear, straight talk would be to maintaining public trust. If we had, we could have explained the biological nature of a virus and warned that Covid-19 would change in unpredictable ways.  

We didn’t know how difficult it would be to get the basic data needed to make good public-health and medical decisions. If we’d had the data, we could have more effectively allocated scarce resources

In the face of a pandemic, he says, the public needs an early basic and blunt lesson in virology

and mutates, and since we’ve never seen this particular virus before, we will need to take unprecedented actions and we will make mistakes, he says.

Since the public wasn’t prepared, “people weren’t able to pivot when the knowledge changed,”

By the time the vaccines became available, public trust had been eroded by myriad contradictory messages—about the usefulness of masks, the ways in which the virus could be spread, and whether the virus would have an end date.

, the absence of a single, trusted source of clear information meant that many people gave up on trying to stay current or dismissed the different points of advice as partisan and untrustworthy.

“The science is really important, but if you don’t get the trust and communication right, it can only take you so far,”

people didn’t know whether it was OK to visit elderly relatives or go to a dinner party.

Doctors didn’t know what medicines worked. Governors and mayors didn’t have the information they needed to know whether to require masks. School officials lacked the information needed to know whether it was safe to open schools.

Had we known that even a mild case of Covid-19 could result in long Covid and other serious chronic health problems, we might have calculated our own personal risk differently and taken more care.

just months before the outbreak of the pandemic, the Council of State and Territorial Epidemiologists released a white paper detailing the urgent need to modernize the nation’s public-health system still reliant on manual data collection methods—paper records, phone calls, spreadsheets and faxes.

While the U.K. and Israel were collecting and disseminating Covid case data promptly, in the U.S. the CDC couldn’t. It didn’t have a centralized health-data collection system like those countries did, but rather relied on voluntary reporting by underfunded state and local public-health systems and hospitals.

doctors and scientists say they had to depend on information from Israel, the U.K. and South Africa to understand the nature of new variants and the effectiveness of treatments and vaccines. They relied heavily on private data collection efforts such as a dashboard at Johns Hopkins University’s Coronavirus Resource Center that tallied cases, deaths and vaccine rates globally.

For much of the pandemic, doctors, epidemiologists, and state and local governments had no way to find out in real time how many people were contracting Covid-19, getting hospitalized and dying

To solve the data problem, Dr. Ranney says, we need to build a public-health system that can collect and disseminate data and acts like an electrical grid. The power company sees a storm coming and lines up repair crews.

If we’d known how damaging lockdowns would be to mental health, physical health and the economy, we could have taken a more strategic approach to closing businesses and keeping people at home.

t many doctors say they were crucial at the start of the pandemic to give doctors and hospitals a chance to figure out how to accommodate and treat the avalanche of very sick patients.

The measures reduced deaths, according to many studies—but at a steep cost.

The lockdowns didn’t have to be so harmful, some scientists say. They could have been more carefully tailored to protect the most vulnerable, such as those in nursing homes and retirement communities, and to minimize widespread disruption.

Lockdowns could, during Covid-19 surges, close places such as bars and restaurants where the virus is most likely to spread, while allowing other businesses to stay open with safety precautions like masking and ventilation in place.  

The key isn’t to have the lockdowns last a long time, but that they are deployed earlier,

If England’s March 23, 2020, lockdown had begun one week earlier, the measure would have nearly halved the estimated 48,600 deaths in the first wave of England’s pandemic

If the lockdown had begun a week later, deaths in the same period would have more than doubled

It is possible to avoid lockdowns altogether. Taiwan, South Korea and Hong Kong—all countries experienced at handling disease outbreaks such as SARS in 2003 and MERS—avoided lockdowns by widespread masking, tracking the spread of the virus through testing and contact tracing and quarantining infected individuals.

With good data, Dr. Ranney says, she could have better managed staffing and taken steps to alleviate the strain on doctors and nurses by arranging child care for them.

Early in the pandemic, public-health officials were clear: The people at increased risk for severe Covid-19 illness were older, immunocompromised, had chronic kidney disease, Type 2 diabetes or serious heart conditions

t had the unfortunate effect of giving a false sense of security to people who weren’t in those high-risk categories. Once case rates dropped, vaccines became available and fear of the virus wore off, many people let their guard down, ditching masks, spending time in crowded indoor places.

it has become clear that even people with mild cases of Covid-19 can develop long-term serious and debilitating diseases. Long Covid, whose symptoms include months of persistent fatigue, shortness of breath, muscle aches and brain fog, hasn’t been the virus’s only nasty surprise

In February 2022, a study found that, for at least a year, people who had Covid-19 had a substantially increased risk of heart disease—even people who were younger and had not been hospitalized

respiratory conditions.

Some scientists now suspect that Covid-19 might be capable of affecting nearly every organ system in the body. It may play a role in the activation of dormant viruses and latent autoimmune conditions people didn’t know they had

 A blood test, he says, would tell people if they are at higher risk of long Covid and whether they should have antivirals on hand to take right away should they contract Covid-19.

If the risks of long Covid had been known, would people have reacted differently, especially given the confusion over masks and lockdowns and variants? Perhaps. At the least, many people might not have assumed they were out of the woods just because they didn’t have any of the risk factors.

In the summer of 2020, “public-health experts” decided that racism is a public-health crisis comparable to the coronavirus pandemic. It was therefore, they claimed, within their purview to express public support for the Black Lives Matter protests following the murder of George Floyd and to argue that the benefits of such protests outweighed the increased risk of spreading the disease. Those supposed experts actually knew nothing about the likely effects of the protests. They made no concrete predictions about whether they would in any way ameliorate racism in America, just as Nature can make no concrete predictions about whether its political endorsements will actually help a preferred candidate without jeopardizing its other important goals. The political action was expressive, not evidence-based...

as is often the case, a debate which appears to be about the neutrality of institutions is not really about neutrality at all... Rather, it is about whether there is any room left for soberly weighing our goals and values and thinking in a measured way about the consequences of our actions rather than simply reacting to situations in an impulsive and expressive manner, broadcasting our views to the world so that people know where we stand.

Our goals and values might not be “neutral” at all, but they might still be best served by procedures, institutions, and even individuals that follow neutral principles.

The same person who, on his own, wouldn’t ‘hurt a fly’ will not hesitate to set a government building on fire or rob a liquor store when part of an angry mass. The most mild-mannered of us can make the meanest comments as part of an online mob.

Once caught up in the maelstrom, it is extremely difficult to hold back: you see it as your duty to participate. Any act of lynching, ancient or modern, literal or on social media, displays this feature. ‘A murder shared with many others, which is not only safe and permitted, but indeed recommended, is irresistible to the great majority of men,’ writes Elias Canetti in Crowds and Power (1960).

The herd can also give its members a disproportionate sense of personal worth. No matter how empty or miserable their individual existence may otherwise be, belonging to a certain group makes them feel accepted and recognised – even respected. There is no hole in one’s personal life, no matter how big, that one’s intense devotion to one’s tribe cannot fill, no trauma that it does not seem to heal.

to a disoriented soul, they can offer a sense of fulfilment and recognition that neither family nor friends nor profession can supply. A crowd can be therapeutic in the same way in which a highly toxic substance can have curative powers.

Herding, then, engenders a paradoxical form of identity: you are somebody not despite the fact that you’ve melted into the crowd, but because of it

You will not be able to find yourself in the crowd, but that’s the least of your worries: you are now part of something that feels so much grander and nobler than your poor self

Your connection with the life of the herd not only fills an inner vacuum but adds a sense of purpose to your disoriented existence.

The primatologist Frans de Waal, who has studied the social and political behaviour of apes for decades, concludes in his book Mama’s Last Hug (2018) that primates are ‘made to be social’ – and ‘the same applies to us.’ Living in groups is ‘our main survival strategy’

we are all wired for herding. We herd all the time: when we make war as when we make peace, when we celebrate and when we mourn, we herd at work and on vacation. The herd is not out there somewhere, but we carry it within us. The herd is deeply seated in our mind.

As far as the practical conduct of our lives and our survival in the world are concerned, this is not a bad arrangement. Thanks to the herd in our minds, we find it easier to connect with others, to communicate and collaborate with them, and in general to live at ease with one another. Because of our herding behaviour, then, we stand a better chance to survive as members of a group than on our own

The trouble starts when we decide to use our mind against our biology. As when we employ our thinking not pragmatically, to make our existence in the world easier and more comfortable in some respect or another, but contemplatively, to see our situation in its naked condition, from the outside.

In such a situation, if we are to make any progress, we need to pull the herd out of our mind and set it firmly aside, exceedingly difficult as the task may be. This kind of radical thinking can be done only in the absence of the herd’s influence in its many forms: societal pressure, political partisanship, ideological bias, religious indoctrination, media-induced fads and fashions, intellectual mimetism, or any other -isms, for that matter.

a society’s established knowledge is the glue that keeps it together. Indeed, this unique concoction – a combination of pious lies and convenient half-truths, useful prejudices and self-flattering banalities – is what gives that society its specific cultural physiognomy and, ultimately, its sense of identity

By celebrating its established knowledge, that community celebrates itself. Which, for the sociologist Émile Durkheim, is the very definition of religion.

Musk seems willing to grant this power to racists, conspiracy theorists, and trolls. This isn’t great for reasonable people who want to have nuanced conversations on social media, but the joke has always been on them. Twitter isn’t that place, and it never will be.

one of Musk’s first moves after taking over was to fire the company’s head of policy—an individual who had publicly stated a commitment to both free speech and preventing abuse.

On Friday, Musk tweeted that Twitter would be “forming a content moderation council with widely diverse viewpoints,” noting that “no major content decisions [would] happen before that council convenes.” Just three hours later, replying to a question about lifting a suspension on The Daily Wire’s Jordan Peterson, Musk signaled that maybe that wasn’t exactly right; he tweeted: “Anyone suspended for minor & dubious reasons will be freed from Twitter jail.” He says he wants a democratic council, yet he’s also setting policy by decree.

Perhaps most depressingly, this behavior is quite familiar. As Techdirt’s Mike Masnick has pointed out, we are all stuck “watching Musk speed run the content moderation learning curve” and making the same mistakes that social-media executives made with their platforms in their first years at the helm.

Musk has charged himself with solving the central, seemingly intractable issue at the core of hundreds of years of debate about free speech. In the social-media era, no entity has managed to balance preserving both free speech and genuine open debate across the internet at scale.

Musk hasn’t just given himself a nearly impossible task; he’s also created conditions for his new company’s failure. By acting incoherently as a leader and lording the prospect of mass terminations over his employees, he’s created a dysfunctional and chaotic work environment for the people who will ultimately execute his changes to the platform

Over the years, we have seen huge setbacks to the progress of liberal and democratic institutions, with the rise of fascism and communism in the 1930s, or the military coups and oil crises of the 1960s and ’70s. And yet, liberal democracy has endured and come back repeatedly, because the alternatives are so bad. People across varied cultures do not like living under dictatorship, and they value their individual freedom. No authoritarian government presents a society that is, in the long term, more attractive than liberal democracy, and could therefore be considered the goal or endpoint of historical progress.

The philosopher Hegel coined the phrase the end of history to refer to the liberal state’s rise out of the French Revolution as the goal or direction toward which historical progress was trending. For many decades after that, Marxists would borrow from Hegel and assert that the true end of history would be a communist utopia. When I wrote an article in 1989 and a book in 1992 with this phrase in the title, I noted that the Marxist version was clearly wrong and that there didn’t seem to be a higher alternative to liberal democracy.

setbacks do not mean that the underlying narrative is wrong. None of the proffered alternatives look like they’re doing any better.

Liberal democracy will not make a comeback unless people are willing to struggle on its behalf. The problem is that many who grow up living in peaceful, prosperous liberal democracies begin to take their form of government for granted. Because they have never experienced an actual tyranny, they imagine that the democratically elected governments under which they live are themselves evil dictatorships conniving to take away their rights

This is the danger of the American dream when you scale it down from the national to the individual level. You risk devoting your life to wanting something because it’s what you’ve been told you should want. Everybody loves a Cinderella story, but sometimes your dream, in reality, is just a wish somebody else’s heart made.

Koselleck observes that prior to the French revolution, a crisis was a medical or legal problem but not much more. After the fall of the ancien regime, crisis becomes the “structural signature of modernity”, he writes. As the 19th century progressed, crises multiplied: there were economic crises, foreign policy crises, cultural crises and intellectual crises.

When he looked at 5,000 creative individuals over 127 generations in European history, he found that significant creative breakthroughs were less likely during periods of political crisis and instability.

Victor H Mair, a professor of Chinese literature at the University of Pennsylvania, points out that in fact the Chinese word for crisis, wēijī, refers to a perilous situation in which you should be particularly cautious

“Those who purvey the doctrine that the Chinese word for ‘crisis’ is composed of elements meaning ‘danger’ and ‘opportunity’ are engaging in a type of muddled thinking that is a danger to society,” he writes. “It lulls people into welcoming crises as unstable situations from which they can benefit.” Revolutionaries, billionaires and politicians may relish the chance to profit from a crisis, but most people world prefer not to have a crisis at all.

A common folk theory is that times of great crisis also lead to great bursts of creativity.

The first world war sparked the growth of modernism in painting and literature. The second fuelled innovations in science and technology. The economic crises of the 1970s and 80s are supposed to have inspired the spread of punk and the creation of hip-hop

psychologists have also found that when we are threatened by a crisis, we become more rigid and locked into our beliefs. The creativity researcher Dean Simonton has spent his career looking at breakthroughs in music, philosophy, science and literature. He has found that during periods of crisis, we actually tend to become less creative.

psychologists have found that it is what they call “malevolent creativity” that flourishes when we feel threatened by crisis.

during moments of significant crisis, the best leaders are able to create some sense of certainty and a shared fate amid the seas of change.

These are innovations that tend to be harmful – such as new weapons, torture devices and ingenious scams.

A 2019 study which involved observing participants using bricks, found that those who had been threatened before the task tended to come up with more harmful uses of the bricks (such as using them as weapons) than people who did not feel threatened

Students presented with information about a threatening situation tended to become increasingly wary of outsiders, and even begin to adopt positions such as an unwillingness to support LGBT people afterwards.

during moments of crisis – when change is really needed – we tend to become less able to change.

When we suffer significant traumatic events, we tend to have worse wellbeing and life outcomes.

, other studies have shown that in moderate doses, crises can help to build our sense of resilience.

we tend to be more resilient if a crisis is shared with others. As Bruce Daisley, the ex-Twitter vice-president, notes: “True resilience lies in a feeling of togetherness, that we’re united with those around us in a shared endeavour.”

Crises are like many things in life – only good in moderation, and best shared with others

The challenge our leaders face during times of overwhelming crisis is to avoid letting us plunge into the bracing ocean of change alone, to see if we sink or swim. Nor should they tell us things are fine, encouraging us to hide our heads in the san

Waking up each morning to hear about the latest crisis is dispiriting for some, but throughout history it has been a bracing experience for others. In 1857, Friedrich Engels wrote in a letter that “the crisis will make me feel as good as a swim in the ocean”. A hundred years later, John F Kennedy (wrongly) pointed out that in the Chinese language, the word “crisis” is composed of two characters, “one representing danger, and the other, opportunity”. More recently, Elon Musk has argued “if things are not failing, you are not innovating enough”.

This means people won’t feel an overwhelming sense of threat. It also means people do not feel alone. When we feel some certainty and common identity, we are more likely to be able to summon the creativity, ingenuity and energy needed to change things.

That’s an extraordinary thing to hear from a corporate CEO. Daunt wanted to run a bookstore that was “intellectually satisfying” and “feeds your mind.

If you want to sell music, you must love those songs. If you want to succeed in journalism, you must love those newspapers. If you want to succeed in movies, you must love the cinema.

You don’t fall in love for logical reasons, and you could never convince someone else to do so on the basis of arguments. People either feel it or they don’t. That’s true whether you love your spouse or you love something more intangible like a song or a book or a movie.

But even if you can’t teach this kind of love, you know it when you see it. There are people who are passionate about these things. They believe in them with ardor and devotion. You can find them and hire these people—and those are the individuals you can trust.

The internet stripped institutions of their gatekeeping powers, thus making it possible for anyone to publish—and making it inevitable that many writers would create audiences independent of media institutions.

The internet destroyed the apprenticeship system that had dominated American journalism for generations. Under the old system, an aspiring writer took a low-level job at a media institution and worked her way up the ladder until she was trusted enough to write.

Under the new system, people started their careers writing outside of institutions—on personal blogs—and then were hired by institutions on the strength of their work.

In practice, these outsiders were primarily hired not on the merits of their work, but because of the size of their audience.

what it really did was transform the nature of audiences. Once the internet existed it became inevitable that institutions would see their power to hold audiences wane while individual writers would have their power to build personal audiences explode.

this meant that institutions would begin to hire based on the size of a writer’s audience. Which meant that writers’ overriding professional imperative was to build an audience, since that was the key to advancement.

Twitter killed the blog and lowered the barrier to entry for new writers from “Must have a laptop, the ability to navigate WordPress, and the capacity to write paragraphs” to “Do you have an iPhone and the ability to string 20 words together? With or without punctuation?”

If you were able to build a big enough audience on Twitter, then media institutions fell all over themselves trying to hire you—because they believed that you would then bring your audience to them.2

If you were a writer for the Washington Post, or Wired, or the Saginaw Express, you had to build your own audience not to advance, but to avoid being replaced.

For journalists, audience wasn’t just status—it was professional capital. In fact, it was the most valuable professional capital.

Everything we just talked about was driven by the advertising model of media, which prized pageviews and unique users above all else. About a decade ago, that model started to fray around the edges,3 which caused a shift to the subscription model.

Today, if you’re a subscription publication, what Twitter gives you is growth opportunity. Twitter’s not the only channel for growth—there are lots of others, from TikTok to LinkedIn to YouTube to podcasts to search. But it’s an important one.

Twitter’s attack on Substack was an attack on the subscription model of journalism itself.

since media has already seen the ad-based model fall apart, it’s not clear what the alternative will be if the subscription model dies, too.

All of which is why having a major social media platform run by a capricious bad actor is suboptimal.

And why I think anyone else who’s concerned about the future of media ought to start hedging against Twitter. None of the direct hedges—Post, Mastodon, etc.—are viable yet. But tech history shows that these shifts can happen fairly quickly.

The students who’d been told they were almost always right were, on average, no more discerning than those who had been told they were mostly wrong.

In the second phase of the study, the deception was revealed. The students were told that the real point of the experiment was to gauge their responses to thinking they were right or wrong.

Once again, midway through the study, the students were informed that they’d been misled, and that the information they’d received was entirely fictitious. The students were then asked to describe their own beliefs

The students who’d received the first packet thought that he would avoid it. The students in the second group thought he’d embrace it.

One implication of the naturalness with which we divide cognitive labor,” they write, is that there’s “no sharp boundary between one person’s ideas and knowledge” and “those of other members” of the group

Humans’ biggest advantage over other species is our ability to coöperate. Coöperation is difficult to establish and almost as difficult to sustain

Reason is an adaptation to the hypersocial niche humans have evolved for themselves

Consider what’s become known as “confirmation bias,” the tendency people have to embrace information that supports their beliefs and reject information that contradicts them

Of the many forms of faulty thinking that have been identified, confirmation bias is among the best catalogued; it’s the subject of entire textbooks’ worth of experiments

Even after the evidence “for their beliefs has been totally refuted, people fail to make appropriate revisions in those beliefs,” the researchers noted. In this case, the failure was “particularly impressive,”

reason is an evolved trait, like bipedalism or three-color vision. It emerged on the savannas of Africa, and has to be understood in that context