TOK Friends

Nothing about it makes sense, or fits within existing patterns. We are in the middle of a genuine authoritarian attempt, which means that our baseline reality has shifted. None of us has been in a place like this pre-2016.

As a result, the smell tests we used to in the Before Times have become unreliable, because what was once unthinkable is now routine.

agents will open up many more learning opportunities.

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

Productivity

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

before the sophisticated agents I’m describing become a reality, we need to confront a number of questions about the technology and how we’ll use it.

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

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

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

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

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

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

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

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

Education

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

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

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

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

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

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

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

A shock wave in the tech industry

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Dealing with interruptions at work

If you’re frequently cut off during meetings, find a work buddy who can jump in and refocus the conversation, Swann said. (“I’d love to hear what Sandra was saying.”)

Dr. Venetis recommended saying “just a second, and I’ll yield the floor.” Doing that acknowledges the other person while being an advocate for yourself, she said.

You can also address interruptions before they start, Swann said. “Set the stage by saying: ‘I have something to share. I’ll only take about five minutes,’” and let people know they will have time to chime in when you’re done

Handling interruptions in your relationship

Explore the root cause of the problem, Dr. Solomon said. Ask each other questions like: How would you describe our conversation patterns? How did people have discussions in your family growing up? How do you feel when you’re interrupted?

Constant interruptions can cause real rifts in understanding, connection and trust, Dr. Solomon said. If interrupting is a pattern in your relationship, she recommends starting a “curious conversation” with your partner when you’re not in the heat of the moment.

Subtle body language can work at home, too, she said. If one partner is “coming in hot,” she suggests leaning forward and putting a hand on the partner’s forearm, or lifting a “hang on” finger.

What to do if you’re the interrupter

Are you hogging the mic? Watch your listener for cues, Dr. Solomon said. Does the person look impatient or disengaged

If you read a transcript of the conversation, she said, are the two of you speaking for roughly the same amount of time?

That’s what you should aim for, Dr. Solomon said. “We tend to want our conversations to feel like a tennis game, with a lot of back and forth,” she said.

“When you show people deepfakes and generative AI, a lot of times they come out of the experiment saying, ‘I just don’t trust anything anymore,’” says David Rand, a professor at MIT Sloan who studies the creation, spread and impact of misinformation.

This problem, which has grown more acute in the age of generative AI, is known as the “liar’s dividend,

The combination of easily-generated fake content and the suspicion that anything might be fake allows people to choose what they want to believe, adds DiResta, leading to what she calls “bespoke realities.”

Examples of misleading content created by generative AI are not hard to come by, especially on social media

The signs that an image is AI-generated are easy to miss for a user simply scrolling past, who has an instant to decide whether to like or boost a post on social media. And as generative AI continues to improve, it’s likely that such signs will be harder to spot in the future.

“What our work suggests is that most regular people do not want to share false things—the problem is they are not paying attention,”

People’s attention is already limited, and the way social media works—encouraging us to gorge on content, while quickly deciding whether or not to share it—leaves us precious little capacity to determine whether or not something is true

are now using its existence as a pretext to dismiss accurate information

in the course of a lawsuit over the death of a man using Tesla’s “full self-driving” system, Elon Musk’s lawyers responded to video evidence of Musk making claims about this software by suggesting that the proliferation of “deepfakes” of Musk was grounds to dismiss such evidence. They advanced that argument even though the clip of Musk was verifiably real

If the crisis of authenticity were limited to social media, we might be able to take solace in communication with those closest to us. But even those interactions are now potentially rife with AI-generated fakes.

what sounds like a call from a grandchild requesting bail money may be scammers who have scraped recordings of the grandchild’s voice from social media to dupe a grandparent into sending money.

companies like Alphabet, the parent company of Google, are trying to spin the altering of personal images as a good thing. 

With its latest Pixel phone, the company unveiled a suite of new and upgraded tools that can automatically replace a person’s face in one image with their face from another, or quickly remove someone from a photo entirely.

Joseph Stalin, who was fond of erasing people he didn’t like from official photos, would have loved this technology.

In Google’s defense, it is adding a record of whether an image was altered to data attached to it. But such metadata is only accessible in the original photo and some copies, and is easy enough to strip out.

The rapid adoption of many different AI tools means that we are now forced to question everything that we are exposed to in any medium, from our immediate communities to the geopolitical, said Hany Farid, a professor at the University of California, Berkeley who

To put our current moment in historical context, he notes that the PC revolution made it easy to store and replicate information, the internet made it easy to publish it, the mobile revolution made it easier than ever to access and spread, and the rise of AI has made creating misinformation a cinch. And each revolution arrived faster than the one before it.

Not everyone agrees that arming the public with easy access to AI will exacerbate our current difficulties with misinformation. The primary argument of such experts is that there is already vastly more misinformation on the internet than a person can consume, so throwing more into the mix won’t make things worse.

it’s not exactly reassuring, especially given that trust in institutions is already at one of the lowest points in the past 70 years, according to the nonpartisan Pew Research Center, and polarization—a measure of how much we distrust one another—is at a high point.

“What happens when we have eroded trust in media, government, and experts?” says Farid. “If you don’t trust me and I don’t trust you, how do we respond to pandemics, or climate change, or have fair and open elections? This is how authoritarianism arises—when you erode trust in institutions.”

Over the past four years, more than 1,600 cybercrime cases on TikTok have been reported to authorities, said Kuber Kadayat, a Nepal police spokesman. He said most of the complaints were related to sharing nude photos or financial extortion.

Last week, the government said it would require social-media companies running platforms used in Nepal to set up liaison offices in the country.

India banned TikTok—citing threats to national security—along with dozens of other Chinese apps in 2020 after a clash between Indian and Chinese troops on the countries’ disputed border.

Nepal isn’t the first to cite concerns about the content shared on the app. Pakistan has banned the app multiple times after authorities received complaints of indecent content, later lifting the bans after receiving promises from TikTok to better control the content. In August, Senegal blocked access to the app citing hateful and subversive content being shared on it.

The risk was that the internet had become an echo chamber of stories produced by special interest groups and rogue states, he said.

The danger is that these huge platforms end up in an arms race with each other. They’re like elephants fighting and then everybody else is like mice that get stamped on without them even realising the consequences of their actions.”

there are huge consequences to this technology. And it’s not just the danger of ripping our industry apart, but also ripping other industries apart, all the creative industries. How many jobs are going to be lost? What’s the damage to the economy going to be if these rapacious organisations can continue to operate without any legal ramifications?

Rothermere revealed that DMGT had experimented with using AI to help journalists to publish stories faster, but that it then took longer “to check the accuracy of what it comes up” than it would have done to write the article.

The Lancet and the University College London Institute for Global Health Commission called climate change the biggest threat to global health—and mental health in particular—of the 21st century (The Lancet, Vol. 373, No. 9676, 2009).

Humans have evolved to adjust to some environmental stressors, researchers have found, through allostasis, the system by which the body responds to stress.

The greater the stressors and the longer we are exposed to them, the more likely our response systems are to fail—and those stress responses may remain elevated for the rest of our lives (Crews, D. E., et al., Annals of Human Biology , Vol. 46, No. 1, 2019)

In 2017, for example, APA and ecoAmerica defined “eco-anxiety” as “a chronic fear of environmental doom” (APA and ecoAmerica, 2017).

It’s not just those directly affected by a disaster who suffer. Often, simply knowing that others are in the path of disaster can trigger anxiety or depression, says Amy Lykins, PhD, an American clinical psychologist and researcher working in Australia and in South Pacific islands such as Fiji

It is normal for people to be worried about environmental issues—it isn’t a disorder to be stressed by stressors. “We certainly don’t want to pathologize someone’s reasonable distress about climate and environmental threats,” Doherty says. “But we also don’t want to minimize issues that are causing significant impairment to a person’s life.”

According to the February 2020 APA poll, 4 in 10 people have not changed their behavior in light of climate change, but 7 in 10 say they wish they could do more, while 5 in 10 say they don’t know where to begin

Other research bears this out: Even when people are concerned about climate change and the environment, they may feel paralyzed or useless when it comes to taking action (Landry, N., et al., Journal of Environmental Psychology , Vol. 55, 2018).

Even as a liberal who has attended abortion rights demonstrations and written about standing up to racism, I sometimes feel afraid to fully speak my mind.

In the classroom, backlash for unpopular opinions is so commonplace that many students have stopped voicing them, sometimes fearing lower grades if they don’t censor themselves.

According to a 2021 survey administered by College Pulse of over 37,000 students at 159 colleges, 80 percent of students self-censor at least some of the time.

Forty-eight percent of undergraduate students described themselves as “somewhat uncomfortable” or “very uncomfortable” with expressing their views on a controversial topic in the classroom.

When a class discussion goes poorly for me, I can tell.

The room felt tense. I saw people shift in their seats. Someone got angry, and then everyone seemed to get angry. After the professor tried to move the discussion along, I still felt uneasy. I became a little less likely to speak up again and a little less trusting of my own thoughts.

This anxiety affects not just conservatives. I spoke with Abby Sacks, a progressive fourth-year student. She said she experienced a “pile-on” during a class discussion about sexism in media

Throughout that semester, I saw similar reactions in response to other students’ ideas. I heard fewer classmates speak up. Eventually, our discussions became monotonous echo chambers. Absent rich debate and rigor, we became mired in socially safe ideas.

when criticism transforms into a public shaming, it stifles learning.

Professors have noticed a shift in their classrooms

“First, students are afraid of being called out on social media by their peers,”

“Second, the dominant messages students hear from faculty, administrators and staff are progressive ones. So they feel an implicit pressure to conform to those messages in classroom and campus conversations and debates.”

I met Stephen Wiecek at our debate club. He’s an outgoing, formidable first-year debater who often stays after meetings to help clean up. He’s also conservative.

He told me that he has often “straight-up lied” about his beliefs to avoid conflict. Sometimes it’s at a party, sometimes it’s at an a cappella rehearsal, and sometimes it’s in the classroom. When politics comes up, “I just kind of go into survival mode,” he said. “I tense up a lot more, because I’ve got to think very carefully about how I word things. It’s very anxiety inducing.”

I went to college to learn from my professors and peers. I welcomed an environment that champions intellectual diversity and rigorous disagreement

“It was just a succession of people, one after each other, each vehemently disagreeing with me,” she told me.

Ms. Sacks felt overwhelmed. “Everyone adding on to each other kind of energized the room, like everyone wanted to be part of the group with the correct opinion,” she said. The experience, she said, “made me not want to go to class again.” While Ms. Sacks did continue to attend the class, she participated less frequently. She told me that she felt as if she had become invisible.

Other campuses also struggle with this. “Viewpoint diversity is no longer considered a sacred, core value in higher education,”

Dr. Abrams said the environment on today’s campuses differs from his undergraduate experience. He recalled late-night debates with fellow students that sometimes left him feeling “hurt” but led to “the ecstasy of having my mind opened up to new ideas.”

He worries that self-censorship threatens this environment and argues that college administrations in particular “enforce and create a culture of obedience and fear that has chilled speech.”

Universities must do more than make public statements supporting free expression. We need a campus culture that prioritizes ideological diversity and strong policies that protect expression in the classroom.

Universities should refuse to cancel controversial speakers or cave to unreasonable student demands. They should encourage professors to reward intellectual diversity and nonconformism in classroom discussions. And most urgently, they should discard restrictive speech codes and bias response teams that pathologize ideological conflict.

We cannot experience the full benefits of a university education without having our ideas challenged, yet challenged in ways that allow us to grow.

“Our systems are effective at reducing harmful content, and we’ve invested billions in safety, security and brand suitability solutions,” said Samantha Stetson, a Meta vice president who handles relations with the advertising industry. She said the prevalence of inappropriate content on Instagram is low, and that the company invests heavily in reducing it.

The Journal set up the test accounts after observing that the thousands of followers of such young people’s accounts often include large numbers of adult men, and that many of the accounts who followed those children also had demonstrated interest in sex content related to both children and adults

The Journal also tested what the algorithm would recommend after its accounts followed some of those users as well, which produced more-disturbing content interspersed with ads.

The Canadian Centre for Child Protection, a child-protection group, separately ran similar tests on its own, with similar results.

Meta said the Journal’s tests produced a manufactured experience that doesn’t represent what billions of users see. The company declined to comment on why the algorithms compiled streams of separate videos showing children, sex and advertisements, but a spokesman said that in October it introduced new brand safety tools that give advertisers greater control over where their ads appear, and that Instagram either removes or reduces the prominence of four million videos suspected of violating its standards each month. 

The Journal reported in June that algorithms run by Meta, which owns both Facebook and Instagram, connect large communities of users interested in pedophilic content. The Meta spokesman said a task force set up after the Journal’s article has expanded its automated systems for detecting users who behave suspiciously, taking down tens of thousands of such accounts each month. The company also is participating in a new industry coalition to share signs of potential child exploitation.

Following what it described as Meta’s unsatisfactory response to its complaints, Match began canceling Meta advertising for some of its apps, such as Tinder, in October. It has since halted all Reels advertising and stopped promoting its major brands on any of Meta’s platforms. “We have no desire to pay Meta to market our brands to predators or place our ads anywhere near this content,” said Match spokeswoman Justine Sacco.

Even before the 2020 launch of Reels, Meta employees understood that the product posed safety concerns, according to former employees.

Robbie McKay, a spokesman for Bumble, said it “would never intentionally advertise adjacent to inappropriate content,” and that the company is suspending its ads across Meta’s platforms.

Meta created Reels to compete with TikTok, the video-sharing platform owned by Beijing-based ByteDance. Both products feed users a nonstop succession of videos posted by others, and make money by inserting ads among them. Both companies’ algorithms show to a user videos the platforms calculate are most likely to keep that user engaged, based on his or her past viewing behavior

The Journal reporters set up the Instagram test accounts as adults on newly purchased devices and followed the gymnasts, cheerleaders and other young influencers. The tests showed that following only the young girls triggered Instagram to begin serving videos from accounts promoting adult sex content alongside ads for major consumer brands, such as one for Walmart that ran after a video of a woman exposing her crotch. 

When the test accounts then followed some users who followed those same young people’s accounts, they yielded even more disturbing recommendations. The platform served a mix of adult pornography and child-sexualizing material, such as a video of a clothed girl caressing her torso and another of a child pantomiming a sex act.

Experts on algorithmic recommendation systems said the Journal’s tests showed that while gymnastics might appear to be an innocuous topic, Meta’s behavioral tracking has discerned that some Instagram users following preteen girls will want to engage with videos sexualizing children, and then directs such content toward them.

Current and former Meta employees said in interviews that the tendency of Instagram algorithms to aggregate child sexualization content from across its platform was known internally to be a problem. Once Instagram pigeonholes a user as interested in any particular subject matter, they said, its recommendation systems are trained to push more related content to them.

Preventing the system from pushing noxious content to users interested in it, they said, requires significant changes to the recommendation algorithms that also drive engagement for normal users. Company documents reviewed by the Journal show that the company’s safety staffers are broadly barred from making changes to the platform that might reduce daily active users by any measurable amount.

The test accounts showed that advertisements were regularly added to the problematic Reels streams. Ads encouraging users to visit Disneyland for the holidays ran next to a video of an adult acting out having sex with her father, and another of a young woman in lingerie with fake blood dripping from her mouth. An ad for Hims ran shortly after a video depicting an apparently anguished woman in a sexual situation along with a link to what was described as “the full video.”

Instagram’s system served jarring doses of salacious content to those test accounts, including risqué footage of children as well as overtly sexual adult videos—and ads for some of the biggest U.S. brands.

Part of the problem is that automated enforcement systems have a harder time parsing video content than text or still images. Another difficulty arises from how Reels works: Rather than showing content shared by users’ friends, the way other parts of Instagram and Facebook often do, Reels promotes videos from sources they don’t follow

In an analysis conducted shortly before the introduction of Reels, Meta’s safety staff flagged the risk that the product would chain together videos of children and inappropriate content, according to two former staffers. Vaishnavi J, Meta’s former head of youth policy, described the safety review’s recommendation as: “Either we ramp up our content detection capabilities, or we don’t recommend any minor content,” meaning any videos of children.

At the time, TikTok was growing rapidly, drawing the attention of Instagram’s young users and the advertisers targeting them. Meta didn’t adopt either of the safety analysis’s recommendations at that time, according to J.

Stetson, Meta’s liaison with digital-ad buyers, disputed that Meta had neglected child safety concerns ahead of the product’s launch. “We tested Reels for nearly a year before releasing it widely, with a robust set of safety controls and measures,” she said. 

After initially struggling to maximize the revenue potential of its Reels product, Meta has improved how its algorithms recommend content and personalize video streams for users

Among the ads that appeared regularly in the Journal’s test accounts were those for “dating” apps and livestreaming platforms featuring adult nudity, massage parlors offering “happy endings” and artificial-intelligence chatbots built for cybersex. Meta’s rules are supposed to prohibit such ads.

The Journal informed Meta in August about the results of its testing. In the months since then, tests by both the Journal and the Canadian Centre for Child Protection show that the platform continued to serve up a series of videos featuring young children, adult content and apparent promotions for child sex material hosted elsewhere. 

As of mid-November, the center said Instagram is continuing to steadily recommend what the nonprofit described as “adults and children doing sexual posing.”

Meta hasn’t offered a timetable for resolving the problem or explained how in the future it would restrict the promotion of inappropriate content featuring children. 

The Journal’s test accounts found that the problem even affected Meta-related brands. Ads for the company’s WhatsApp encrypted chat service and Meta’s Ray-Ban Stories glasses appeared next to adult pornography. An ad for Lean In Girls, the young women’s empowerment nonprofit run by former Meta Chief Operating Officer Sheryl Sandberg, ran directly before a promotion for an adult sex-content creator who often appears in schoolgirl attire. Sandberg declined to comment. 

Through its own tests, the Canadian Centre for Child Protection concluded that Instagram was regularly serving videos and pictures of clothed children who also appear in the National Center for Missing and Exploited Children’s digital database of images and videos confirmed to be child abuse sexual material. The group said child abusers often use the images of the girls to advertise illegal content for sale in dark-web forums.

The nature of the content—sexualizing children without generally showing nudity—reflects the way that social media has changed online child sexual abuse, said Lianna McDonald, executive director for the Canadian center. The group has raised concerns about the ability of Meta’s algorithms to essentially recruit new members of online communities devoted to child sexual abuse, where links to illicit content in more private forums proliferate.

“Time and time again, we’ve seen recommendation algorithms drive users to discover and then spiral inside of these online child exploitation communities,” McDonald said, calling it disturbing that ads from major companies were subsidizing that process.

Behavioral economics is at the center of the so-called replication crisis, a euphemism for the uncomfortable fact that the results of a significant percentage of social science experiments can’t be reproduced in subsequent trials

this key result was not replicated in similar experiments, undermining confidence in a whole area of study. It’s obvious that we do associate old age and slower walking, and we probably do slow down sometimes when thinking about older people. It’s just not clear that that’s a law of the mind.

And these attempts to “correct” human behavior are based on tenuous science. The replication crisis doesn’t have a simple solution

Journals have instituted reforms like having scientists preregister their hypotheses to avoid the possibility of results being manipulated during the research. But that doesn’t change how many uncertain results are already out there, with a knock-on effect that ripples through huge segments of quantitative social scienc

The Johns Hopkins science historian Ruth Leys, author of a forthcoming book on priming research, points out that cognitive science is especially prone to building future studies off disputed results. Despite the replication crisis, these fields are a “train on wheels, the track is laid and almost nothing stops them,” Dr. Leys said.

These cases result from lax standards around data collection, which will hopefully be corrected. But they also result from strong financial incentives: the possibility of salaries, book deals and speaking and consulting fees that range into the millions. Researchers can get those prizes only if they can show “significant” findings.

It is no coincidence that behavioral economics, from Dr. Kahneman to today, tends to be pro-business. Science should be not just reproducible, but also free of obvious ideology.

Technology and modern data science have only further entrenched behavioral economics. Its findings have greatly influenced algorithm design.

The collection of personal data about our movements, purchases and preferences inform interventions in our behavior from the grocery store to who is arrested by the police.

Setting people up for safety and success and providing good default options isn’t bad in itself, but there are more sinister uses as well. After all, not everyone who wants to exploit your cognitive biases has your best interests at heart.

Despite all its flaws, behavioral economics continues to drive public policy, market research and the design of digital interfaces.

One might think that a kind of moratorium on applying such dubious science would be in order — except that enacting one would be practically impossible. These ideas are so embedded in our institutions and everyday life that a full-scale audit of the behavioral sciences would require bringing much of our society to a standstill.

There is no peer review for algorithms that determine entry to a stadium or access to credit. To perform even the most banal, everyday actions, you have to put implicit trust in unverified scientific results.

We can’t afford to defer questions about human nature, and the social and political policies that come from them, to commercialized “research” that is scientifically questionable and driven by ideology. Behavioral economics claims that humans aren’t rational.

That’s a philosophical claim, not a scientific one, and it should be fought out in a rigorous marketplace of ideas. Instead of unearthing real, valuable knowledge of human nature, behavioral economics gives us “one weird trick” to lose weight or quit smoking.

Humans may not be perfectly rational, but we can do better than the predictably irrational consequences that behavioral economics has left us with today.

In short, a complex and evolving system — whether that’s a flock of gold finches or a nebula or the English language — will produce ever more diverse and intricately detailed states and configurations of itself.

Some of these more diverse and intricate configurations, the scientists write, are shed and forgotten over time. The configurations that persist are ones that find some utility or novel function in a process akin to natural selection, but a selection process driven by the passing-on of information rather than just the sowing of biological genes

Have they finally glimpsed, I wonder, the connectedness and symbiotic co-evolution of their own scientific ideas with those of the world’s writers

Have they learned to describe in their own quantifying language that cradle from which both our disciplines have emerged and the firmament on which they both stand — the hearing and telling of stories in order to exist?

Have they quantified the quality of all existent matter, living and not: that all things inherit a story in data to tell, and that our stories are told by the very forms we take to tell them? 

“Is there a universal basis for selection? Is there a more quantitative formalism underlying this conjectured conceptual equivalence—a formalism rooted in the transfer of information?,” they ask of the world’s disparate phenomena. “The answer to both questions is yes.”

In her Pulitzer-winning “Pilgrim at Tinker Creek,” nature writer Annie Dillard explains plainly that evolution is the vehicle of such intricacy in the natural world, as much as it is in our own thoughts and actions. 

The principle of complexity evolving at its own pace when left to its own devices, independent of time but certainly in a dance with it, is nothing new. Not in science, nor in its closest humanities kin, science and nature writing. Give things time and nourishing environs, protect them from your own intrusions and — living organisms or not — they will produce abundant enlacement of forms.

This is how poetry was born from the same larynxes and phalanges that tendered nuclear equations: We featherless bipeds gave language our time and delighted attendance until its forms were so multivariate that they overflowed with inevitable utility.

Yes. They’ve glimpsed it, whether they know it or not. Sing to me, O Muse, of functional information and its complex diversity.

“The stability of simple forms is the sturdy base from which more complex, stable forms might arise, forming in turn more complex forms,” she explains, drawing on the undercap frills of mushrooms and filament-fine filtering tubes inside human kidneys to illustrate her point. 

“Utility to the creature is evolution’s only aesthetic consideration. Form follows function in the created world, so far as I know, and the creature that functions, however bizarre, survives to perpetuate its form,” writes Dillard.

Or, as the Mishna would have it, “the creations were all made in generic form, and they gradually expanded.” 

She notes that, of all forms of life we’ve ever known to exist, only about 10% are still alive. What extravagant multiplicity. 

“Intricacy is that which is given from the beginning, the birthright, and in the intricacy is the hardiness of complexity that ensures against the failures of all life,” Dillard writes. “The wonder is — given the errant nature of freedom and the burgeoning texture of time — the wonder is that all the forms are not monsters, that there is beauty at all, grace gratuitous.”

“This paper, and the reason why I'm so proud of it, is because it really represents a connection between science and the philosophy of science that perhaps offers a new lens into why we see everything that we see in the universe,” lead scientist Michael Wong told Motherboard in a recent interview. 

Wong is an astrobiologist and planetary scientist at the Carnegie Institute for Science. In his team’s paper, that bridge toward scientific philosophy is not only preceded by a long history of literary creativity but directly theorizes about the creative act itself.  

“The creation of art and music may seem to have very little to do with the maintenance of society, but their origins may stem from the need to transmit information and create bonds among communities, and to this day, they enrich life in innumerable ways,” Wong’s team writes.  

“Perhaps, like eddies swirling off of a primary flow field, selection pressures for ancillary functions can become so distant from the core functions of their host systems that they can effectively be treated as independently evolving systems,” the authors add, pointing toward the elaborate mating dance culture observed in birds of paradise.

“Perhaps it will be humanity’s ability to learn, invent, and adopt new collective modes of being that will lead to its long-term persistence as a planetary phenomenon. In light of these considerations, we suspect that the general principles of selection and function discussed here may also apply to the evolution of symbolic and social systems.”

The Mekhilta teaches that all Ten Commandments were pronounced in a single utterance. Similarly, the Maharsha says the Torah’s 613 mitzvoth are only perceived as a plurality because we’re time-bound humans, even though they together form a singular truth which is indivisible from He who expressed it. 

“Of the multiplicity of forms, I know nothing. Except that, apparently, anything goes. This holds for forms of behavior as well as design — the mantis munching her mate, the frog wintering in mud.” 

Like swirling eddies off of a primary flow field.

“O Lord, how manifold are thy works!,” cried out David in his psalm. “In wisdom hast thou made them all: the earth is full of thy riches. So is this great and wide sea, wherein are things creeping innumerable, both small and great beasts.” 

Because, whether wittingly or not, science is singing the tune of the humanities. And whether expressed in algebraic logic or ancient Greek hymn, its chorus is the same throughout the universe: Be fruitful and multiply. 

In all things, then — from poetic inventions, to rare biodiverse ecosystems, to the charted history of our interstellar equations — it is best if we conserve our world’s intellectual and physical diversity, for both the study and testimony of its immeasurable multiplicity.

Both intricate configurations of art and matter arise and fade according to their shared characteristic, long-known by students of the humanities: each have been graced with enough time to attend to the necessary affairs of their most enduring pleasures. 

it lacks practical application. If humans found something on another planet that seemed to be alive, how much time would we have to sit around and wait for it to evolve?

The only life we know is life on Earth. Some scientists call this the n=1 problem, where n is the number of examples from which we can generalize.

He measures the complexity of an object—say, a molecule—by calculating the number of steps necessary to put the object’s smallest building blocks together in that certain way. His lab has found, for example, when testing a wide range of molecules, that those with an “assembly number” above 15 were exclusively the products of life. Life makes some simpler molecules, too, but only life seems to make molecules that are so complex.

What we really want is more than a definition of life. We want to know what life, fundamentally, is. For that kind of understanding, scientists turn to theories. A theory is a scientific fundamental. It not only answers questions, but frames them, opening new lines of inquiry. It explains our observations and yields predictions for future experiments to test.

Consider the difference between defining gravity as “the force that makes an apple fall to the ground” and explaining it, as Newton did, as the universal attraction between all particles in the universe, proportional to the product of their masses and so on. A definition tells us what we already know; a theory changes how we understand things.

the potential rewards of unlocking a theory of life have captivated a clutch of researchers from a diverse set of disciplines. “There are certain things in life that seem very hard to explain,” Sara Imari Walker, a physicist at Arizona State University who has been at the vanguard of this work, told me. “If you scratch under the surface, I think there is some structure that suggests formalization and mathematical laws.”

Walker doesn’t think about life as a biologist—or an astrobiologist—does. When she talks about signs of life, she doesn’t talk about carbon, or water, or RNA, or phosphine. She reaches for different examples: a cup, a cellphone, a chair. These objects are not alive, of course, but they’re clearly products of life. In Walker’s view, this is because of their complexity. Life brings complexity into the universe, she says, in its own being and in its products, because it has memory: in DNA, in repeating molecular reactions, in the instructions for making a chair.

Cronin studies the origin of life, also a major interest of Walker’s, and it turned out that, when expressed in math, their ideas were essentially the same. They had both zeroed in on complexity as a hallmark of life. Cronin is devising a way to systematize and measure complexity, which he calls Assembly Theory.

who knows how strange life on another world might be? What if life as we know it is the wrong life to be looking for?

Walker’s whole notion is that it’s not only theoretically possible but genuinely achievable to identify something smaller—much smaller—that still nonetheless simply must be the result of life. The model would, in a sense, function like biosignatures as an indication of life that could be searched for. But it would drastically improve and expand the targets.

Walker would use the theory to predict what life on a given planet might look like. It would require knowing a lot about the planet—information we might have about Venus, but not yet about a distant exoplanet—but, crucially, would not depend at all on how life on Earth works, what life on Earth might do with those materials.

Without the ability to divorce the search for alien life from the example of life we know, Walker thinks, a search is almost pointless. “Any small fluctuations in simple chemistry can actually drive you down really radically different evolutionary pathways,” she told me. “I can’t imagine [life] inventing the same biochemistry on two worlds.”

Walker’s approach is grounded in the work of, among others, the philosopher of science Carol Cleland, who wrote The Quest for a Universal Theory of Life.

she warns that any theory of life, just like a definition, cannot be constrained by the one example of life we currently know. “It’s a mistake to start theorizing on the basis of a single example, even if you’re trying hard not to be Earth-centric. Because you’re going to be Earth-centric,” Cleland told me. In other words, until we find other examples of life, we won’t have enough data from which to devise a theory. Abstracting away from Earthliness isn’t a way to be agnostic, Cleland argues. It’s a way to be too abstract.

Cleland calls for a more flexible search guided by what she calls “tentative criteria.” Such a search would have a sense of what we’re looking for, but also be open to anomalies that challenge our preconceptions, detections that aren’t life as we expected but aren’t familiar not-life either—neither a flower nor a rock

it speaks to the hope that exploration and discovery might truly expand our understanding of the cosmos and our own world.

The astrobiologist Kimberley Warren-Rhodes studies life on Earth that lives at the borders of known habitability, such as in Chile’s Atacama Desert. The point of her experiments is to better understand how life might persist—and how it might be found—on Mars. “Biology follows some rules,” she told me. The more of those rules you observe, the better sense you have of where to look on other worlds.

In this light, the most immediate concern in our search for extraterrestrial life might be less that we only know about life on Earth, and more that we don’t even know that much about life on Earth in the first place. “I would say we understand about 5 percent,” Warren-Rhodes estimates of our cumulative knowledge. N=1 is a problem, and we might be at more like n=.05.

I reach for the theory of gravity as a familiar parallel. Someone might ask, “Okay, so in terms of gravity, where are we in terms of our understanding of life? Like, Newton?” Further back, further back, I say. Walker compares us to pre-Copernican astronomers, reliant on epicycles, little orbits within orbits, to make sense of the motion we observe in the sky. Cleland has put it in terms of chemistry, in which case we’re alchemists, not even true chemists yet

We understand so little, and we think we’re ready to find other life?

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.

“I got caught up in what had become at that point, an extended, combative exchange about policies and procedures,” Gay said in the interview. “What I should have had the presence of mind to do in that moment was return to my guiding truth, which is that calls for violence against our Jewish community — threats to our Jewish students — have no place at Harvard, and will never go unchallenged.”

Doing the opposite by writing a dissertation. The endless look-at-me-I’m-so-cute one-line reviews are a constant on Letterboxd, but there’s plenty that go too far the other way, too. I love a good longform review that does a deep dive and carefully considers themes, of a kind that wasn’t really possible in the era of all-print media. But this is not the venue. Start a blog like everybody else.

match your engagement to the structure of the network.

Fake contrarianism.

Comparing your taste to some other party who you know will be unpopular with other users.

Utterly superficial appeals to facile political critiques. These are usually wrong, and when right are shooting the fattest of fish in the smallest of barrels. Yes, Gone With the Wind is pretty fucked up in 2023 political terms! Where would we be without your wisdom to guide us? Using politics to inform a review is great. Explaining why the implicit or explicit political themes of a movie are trouble is fine. Arriving at a pat political condemnation as a substitute for having an aesthetic take on a movie is boring and pointless.

Inventing your own scoring system in a network with a five-star system. 78/100! B+! Three boxes of popcorn! There’s a star system right there baked into the app, jackass.

Pretending to believe (but not really believing) that people won’t recognize your name as a professional film critic

Understanding how empathy can immobilize us like that is a critical step for helping others — and ourselves.

Early researchers labeled it compassion fatigue and described it as the cost of caring.

Having concluded that nothing they do will make a difference, they start to become indifferent.

The symptoms of empathic distress were originally diagnosed in health care, with nurses and doctors who appeared to become insensitive to the pain of their patients.

Empathic distress explains why many people have checked out in the wake of these tragedies

when two neuroscientists, Olga Klimecki and Tania Singer, reviewed the evidence, they discovered that “compassion fatigue” is a misnomer. Caring itself is not costly. What drains people is not merely witnessing others’ pain but feeling incapable of alleviating it.

In times of sustained anguish, empathy is a recipe for more distress, and in some cases even depression. What we need instead is compassion.

empathy and compassion aren’t the same. Empathy absorbs others’ emotions as your own: “I’m hurting for you.”

Compassion focuses your action on their emotions: “I see that you’re hurting, and I’m here for you.”

“Empathy is biased,” the psychologist Paul Bloom writes. It’s something we usually reserve for our own group, and in that sense, it can even be “a powerful force for war and atrocity.”

Dr. Singer and their colleagues trained people to empathize by trying to feel other people’s pain. When the participants saw someone suffering, it activated a neural network that would light up if they themselves were in pain. It hurt. And when people can’t help, they escape the pain by withdrawing.

To combat this, the Klimecki and Singer team taught their participants to respond with compassion rather than empathy — focusing not on sharing others’ pain but on noticing their feelings and offering comfort.

A different neural network lit up, one associated with affiliation and social connection. This is why a growing body of evidence suggests that compassion is healthier for you and kinder to others than empathy:

When you see others in pain, instead of causing you to get overloaded and retreat, compassion motivates you to reach out and help

The most basic form of compassion is not assuaging distress but acknowledging it.

in my research, I’ve found that being helpful has a secondary benefit: It’s an antidote to feeling helpless.

To figure out who needs your support after something terrible happens, the psychologist Susan Silk suggests picturing a dart board, with the people closest to the trauma in the bull’s-eye and those more peripherally affected in the outer rings.

Once you’ve figured out where you belong on the dart board, look for support from people outside your ring, and offer it to people closer to the center.

Even if people aren’t personally in the line of fire, attacks targeting members of a specific group can shatter a whole population’s sense of security.

If you notice that people in your life seem disengaged around an issue that matters to you, it’s worth considering whose pain they might be carrying.

Instead of demanding that they do more, it may be time to show them compassion — and help them find compassion for themselves, too.

Your small gesture of kindness won’t end the crisis in the Middle East, but it can help someone else. And that can give you the strength to help more.