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I knew that my audience wanted to feel authenticity from me. To give that to them, I revealed pieces of myself that I might have been wiser to keep private.

when metrics substitute for self-worth, it’s easy to fall into the trap of giving precious pieces of yourself away to feed an audience that’s always hungry for more and more.

In 2018, I impulsively released a video about my struggle with burnout, which featured intimate footage of my emotional breakdowns. Those breakdowns were, in part, a product of severe anxiety and depression brought about by chasing the exact success for which many other teenagers yearn.

I was entering adulthood and trying to live my childhood dream, but now, to be “authentic,” I had to be the product I had long been posting online, as opposed to the person I was growing up to be.

Online culture encourages young people to turn themselves into a product at an age when they’re only starting to discover who they are. When an audience becomes emotionally invested in a version of you that you outgrow, keeping the product you’ve made aligned with yourself becomes an impossible dilemma.

Sometimes, I barely recognize the person I used to be. Although a part of me resents that I’ll never be able to forget her, I’m also grateful to her. My YouTube channel, for all the trouble it brought me, connected me to the people who wanted to hear my stories and prepared me for a real shot at a directing career. In the last year, I’ve directed a short film and am writing a feature, which showed me new ways of creating that aren’t at the expense of my privacy.

Greg Rutkowski, a hugely popular concept artist, has been used in a prompt for Stable Diffusion upward of 100,000 times. Now, his name is no longer attached to just his own work, but it also summons a slew of imitations of varying quality that he hasn’t approved. This could confuse clients, and it muddies the consistent and precise output he usually produces. When I saw what was happening to him, I thought of my battle with my shadow self. We were each fighting a version of ourself that looked similar but that was uncanny, twisted in a way to which we didn’t consent.

In theory, everyone is at risk for their work or image to become a vulgarity with A.I., but I suspect those who will be the most hurt are those who are already facing the consequences of improving technology, namely members of marginalized groups.

In the future, with A.I. technology, many more people will have a shadow self with whom they must reckon. Once the features that we consider personal and unique — our facial structure, our handwriting, the way we draw — can be programmed and contorted at the click of a mouse, the possibilities for violations are endless.

I’ve been playing around with several generators, and so far none have mimicked my style in a way that can directly threaten my career, a fact that will almost certainly change as A.I. continues to improve. It’s undeniable; the A.I.s know me. Most have captured the outlines and signatures of my comics — black hair, bangs, striped T-shirts. To others, it may look like a drawing taking shape.I see a monster forming.

the broad theme was clear: Social-media platforms are the main communication tools of the 21st century, and they matter.

With Trump at the center, the techlash morphed into a culture war with a clear partisan split. One could frame the position from the left as: We do not want these platforms to give a natural advantage to the most shameless and awful people who stoke resentment and fear to gain power

On the right, it might sound more like: We must preserve the power of the platforms to let outsiders have a natural advantage (by stoking fear and resentment to gain power).

the political world realized that platforms and content-recommendation engines decide which cultural objects get amplified. The left found this troubling, whereas the right found it to be an exciting prospect and something to leverage, exploit, and manipulate via the courts

Crucially, both camps resent the power of the technology platforms and believe the companies have a negative influence on our discourse and politics by either censoring too much or not doing enough to protect users and our political discourse.

one outcome of the techlash has been an incredibly facile public understanding of content moderation and a whole lot of culture warring.

Musk and Ye aren’t so much buying into the right’s overly simplistic Big Tech culture war as they are hijacking it for their own purposes; Trump, meanwhile, is mostly just mad

Each one casts himself as an antidote to a heavy-handed, censorious social-media apparatus that is either captured by progressive ideology or merely pressured into submission by it. But none of them has any understanding of thorny First Amendment or content-moderation issues.

They embrace a shallow posture of free-speech maximalism—the very kind that some social-media-platform founders first espoused, before watching their sites become overrun with harassment, spam, and other hateful garbage that drives away both users and advertisers

for those who can hit the mark without getting banned, social media is a force multiplier for cultural and political relevance and a way around gatekeeping media.

Musk, Ye, and Trump rely on their ability to pick up their phones, go direct, and say whatever they wan

the moment they butt up against rules or consequences, they begin to howl about persecution and unfair treatment. The idea of being treated similarly to the rest of a platform’s user base

is so galling to these men that they declare the entire system to be broken.

they also demonstrate how being the Main Character of popular and political culture can totally warp perspective. They’re so blinded by their own outlying experiences across social media that, in most cases, they hardly know what it is they’re buying

These are projects motivated entirely by grievance and conflict. And so they are destined to amplify grievance and conflict

To induce cognitive fatigue, a group of participants were asked to perform just over six hours of various tasks that involve thinking.

In other words, cognitive work results in chemical changes in the brain, which present behaviourally as fatigue. This, therefore, is a signal to stop working in order to restore balance to the brain.

a neurometabolic point of view. They hypothesise that cognitive fatigue results from an accumulation of a certain chemical in the region of the brain underpinning control. That substance, glutamate, is an excitatory neurotransmitter

Periodically, throughout the experiment, participants were asked to make decisions that could reveal their cognitive fatigue.

The time it takes for the pupil to subsequently dilate reflects the amount of mental exerted. The pupil-dilation times of participants assigned hard tasks fell off significantly as the experiment progressed.

During the experiment the scientists used a technique called magnetic-resonance spectroscopy to measure biochemical changes in the brain. In particular, they focused on the lateral prefrontal cortex, a region of the brain associated with cognitive control. If their hypothesis was to hold, there would be a measurable chemical difference between the brains of hard- and easy-task participants

Their analysis indicated higher concentrations of glutamate in the synapses of a hard-task participant’s lateral prefrontal cortex. Thus showing cognitive fatigue is associated with increased glutamate in the prefrontal cortex

There may well be ways to reduce the glutamate levels, and no doubt some researchers will now be looking at potions that might hack the brain in a way to artificially speed up its recovery from fatigue. Meanwhile, the best solution is the natural one: sleep

The new American right, however, has blown past the relatively innocuous populism of the past 40 years and added a fetid cynicism about almost everything related to public life.

Not only are the MAGA Republicans seemingly repelled by the idea of voting for someone better than they are; they support candidates who are often manifestly worse people than the average citizen, so that they may slather their fears about their own shortcomings and prejudices under a sludgy and undifferentiated hatred about almost everyone in public office.

These populists not only look past the sins of their candidates but also defend and even celebrate them

The same Republicans who claim to venerate the Founders and the Constitution have intentionally turned our politics into a scuzzy burlesque.

consider how many people cheer on unhinged cranks such as Marjorie Taylor Greene or allow themselves to be courted by smarmy opportunists such as Vance and Ted Cruz.

This new populism, centered in the modern Republican Party, has no recognizable policy content beyond the thrill of cruelty and a juvenile boorishness meant largely to enrage others.

The GOP’s goals now boil down to power for its elected royalty and cheap coliseum pleasures for its rank and file.

Republicans, therefore, are forced to lower their—and our—standards for admission to public office, because the destruction of dignity is the only way they can find the candidates who will do what decent men and women will not, including abasing themselves to Donald Trump.

Let us leave aside the cult around Trump, which has now reached such levels of weirdness that the specter of Jim Jones is probably pacing about the netherworld in awe.

I’m an adult. I get it. Our elected officials aren’t saints, and only rarely are they heroes. But must they now be a cavalcade of clowns and charlatans, joyously parading their embrace of vice and their rejection of virtue? The Republican Party seems to think so.

It was followed by TikTok, the Chinese-owned video site, which uses machine-learning models to predict engagement and make recommendations to users.

“We see a difference for each platform because each platform has different mechanisms for virality on it,” said Jeff Allen, a former integrity officer at Facebook and a founder and the chief research officer at the Integrity Institute. “The more mechanisms there are for virality on the platform, the more we see misinformation getting additional distribution.”

The institute calculated its findings by comparing posts that members of the International Fact-Checking Network have identified as false with the engagement of previous posts that were not flagged from the same accounts

Facebook, according to the sample that the institute has studied so far, had the most instances of misinformation but amplified such claims to a lesser degree, in part because sharing posts requires more steps. But some of its newer features are more prone to amplify misinformation, the institute found

Facebook’s amplification factor of video content alone is closer to TikTok’s, the institute found. That’s because the platform’s Reels and Facebook Watch, which are video features, “both rely heavily on algorithmic content recommendations” based on engagements, according to the institute’s calculations.

Instagram, which like Facebook is owned by Meta, had the lowest amplification rate. There was not yet sufficient data to make a statistically significant estimate for YouTube, according to the institute.

Psychological avoidance is akin to an ostrich burying its head in the sand, choosing ignorance over confrontation, all while a storm brews in the background.

depression and anxiety disorders cost the global economy $1 trillion each year in lost productivity.

avoidance, a strategy that not only fails to solve problems but fuels them.

Psychological avoidance isn’t about the actions we take or don’t take, but the intentions behind them. If our actions aim to squash discomfort hastily, then we’re probably 2favoiding

the three ways people tend to practice psychological avoidance.

Reacting

It’s when we reply hastily to an email that upsets us or raise our voices without considering the consequences.

Reacting is any response that seeks to eliminate the source of discomfort

Retreating

Retreating is the act of moving away or pulling back from anxiety-inducing situations

For example, my client with the fear of public speaking took a different job to avoid it. Others may reach for a glass of wine to numb out o

Remaining

Remaining is sticking to the status quo to avoid the discomfort of change.

Psychological avoidance is a powerful enemy, but there are three science-based skills to fight it.

Shifting involves checking in with your thoughts, especially when anxiety comes knocking. In those moments, we often have black-and-white, distorted thoughts, just like my client, who was worried about being in a romantic relationship, telling himself, “I will never be in a good relationship.”

Shifting is taking off dark, monochrome glasses and seeing the world in color again. Challenge your thoughts, clean out your lenses, by asking yourself, “Would I say this to my best friend in this scenario?

Approaching

taking a step that feels manageable.

The opposite of avoiding is approaching

Ask yourself: What is one small step I can take toward my fears and anxiety to overcome my avoidance.

Aligning

Aligning is living a values-driven life, where our daily actions are aligned with what matters the most to us: our values.

This is the opposite of what most of us do while anxious. In moments of intense anxiety, we tend to let our emotions, not our values, dictate our actions. To live a values-driven life, we need to first identify our values, whether that is health, family, work or something else. Then we need to dedicate time and effort to our values.

If you didn’t study Jane Austen while you were here, you probably lack the capacity to think clearly about making a marriage decision. If you didn’t read George Eliot, then you missed a master class on how to judge people’s character. If you didn’t read Nietzsche, you are probably unprepared to handle the complexities of atheism—and if you didn’t read Augustine and Kierkegaard, you’re probably unprepared to handle the complexities of faith.

The list goes on. If you didn’t read de Tocqueville, you probably don’t understand your own country. If you didn’t study Gibbon, you probably lack the vocabulary to describe the rise and fall of cultures and nations.

The wisdom of the ages is your inheritance; it can make your life easier. These resources often fail to get shared because universities are too careerist, or because faculty members are more interested in their academic specialties or politics than in teaching undergraduates, or because of a host of other reasons

What are you putting into your mind? Our culture spends a lot less time worrying about this, and when it does, it goes about it all wrong.

my worry is that, especially now that you’re out of college, you won’t put enough really excellent stuff into your brain.

I worry that it’s possible to grow up now not even aware that those upper registers of human feeling and thought exist.

The theory of maximum taste says that each person’s mind is defined by its upper limit—the best that it habitually consumes and is capable of consuming.

After college, most of us resolve to keep doing this kind of thing, but we’re busy and our brains are tired at the end of the day. Months and years go by. We get caught up in stuff, settle for consuming Twitter and, frankly, journalism. Our maximum taste shrinks.

I’m worried about the future of your maximum taste. People in my and earlier generations, at least those lucky enough to get a college education, got some exposure to the classics, which lit a fire that gets rekindled every time we sit down to read something really excellent.

the “theory of maximum taste.” This theory is based on the idea that exposure to genius has the power to expand your consciousness. If you spend a lot of time with genius, your mind will end up bigger and broader than if you spend your time only with run-of-the-mill stuff.

the whole culture is eroding the skill the UCLA scholar Maryanne Wolf calls “deep literacy,” the ability to deeply engage in a dialectical way with a text or piece of philosophy, literature, or art.

“To the extent that you cannot perceive the world in its fullness, to the same extent you will fall back into mindless, repetitive, self-reinforcing behavior, unable to escape.”

I can’t say that to you, because it sounds fussy and elitist and OK Boomer. And if you were in front of me, you’d roll your eyes.

That allows quantum computers to make many calculations in one pass, while digital ones have to perform each calculation separately. By speeding up computation, quantum computers could potentially solve big, complex problems in fields like chemistry and materials science that are out of reach today.

When Google researchers made their supremacy claim in 2019, they said their quantum computer performed a calculation in 3 minutes 20 seconds that would take about 10,000 years on a state-of-the-art conventional supercomputer.

The IBM researchers in the new study performed a different task, one that interests physicists. They used a quantum processor with 127 qubits to simulate the behavior of 127 atom-scale bar magnets — tiny enough to be governed by the spooky rules of quantum mechanics — in a magnetic field. That is a simple system known as the Ising model, which is often used to study magnetism.

This problem is too complex for a precise answer to be calculated even on the largest, fastest supercomputers.

On the quantum computer, the calculation took less than a thousandth of a second to complete. Each quantum calculation was unreliable — fluctuations of quantum noise inevitably intrude and induce errors — but each calculation was quick, so it could be performed repeatedly.

Indeed, for many of the calculations, additional noise was deliberately added, making the answers even more unreliable. But by varying the amount of noise, the researchers could tease out the specific characteristics of the noise and its effects at each step of the calculation.“We can amplify the noise very precisely, and then we can rerun that same circuit,” said Abhinav Kandala, the manager of quantum capabilities and demonstrations at IBM Quantum and an author of the Nature paper. “And once we have results of these different noise levels, we can extrapolate back to what the result would have been in the absence of noise.”In essence, the researchers were able to subtract the effects of noise from the unreliable quantum calculations, a process they call error mitigation.

Altogether, the computer performed the calculation 600,000 times, converging on an answer for the overall magnetization produced by the 127 bar magnets.

Although an Ising model with 127 bar magnets is too big, with far too many possible configurations, to fit in a conventional computer, classical algorithms can produce approximate answers, a technique similar to how compression in JPEG images throws away less crucial data to reduce the size of the file while preserving most of the image’s details

Certain configurations of the Ising model can be solved exactly, and both the classical and quantum algorithms agreed on the simpler examples. For more complex but solvable instances, the quantum and classical algorithms produced different answers, and it was the quantum one that was correct.

Thus, for other cases where the quantum and classical calculations diverged and no exact solutions are known, “there is reason to believe that the quantum result is more accurate,”

Mr. Anand is currently trying to add a version of error mitigation for the classical algorithm, and it is possible that could match or surpass the performance of the quantum calculations.

In the long run, quantum scientists expect that a different approach, error correction, will be able to detect and correct calculation mistakes, and that will open the door for quantum computers to speed ahead for many uses.

Error correction is already used in conventional computers and data transmission to fix garbles. But for quantum computers, error correction is likely years away, requiring better processors able to process many more qubits

“This is one of the simplest natural science problems that exists,” Dr. Gambetta said. “So it’s a good one to start with. But now the question is, how do you generalize it and go to more interesting natural science problems?”

Those might include figuring out the properties of exotic materials, accelerating drug discovery and modeling fusion reactions.

The fact that Thomas was very likely nominated because he was Black and because he opposed affirmative action posed a conundrum for many supporters of racial preferences. Was being Black enough? Or did you have to be “the right kind” of Black person? It’s a question Carter openly wrestles with in his book.

What immediately struck me on rereading it was how prescient Carter was about these debates 32 years ago. What role affirmative action should take was playing out then in ways that continue to reverberate.

The demise of affirmative action, in Carter’s view, was both necessary and inevitable. “We must reject the common claim that an end to preferences ‘would be a disastrous situation, amounting to a virtual nullification of the 1954 desegregation ruling,’” he wrote, quoting the activist and academic Robert Allen. “The prospect of its end should be a challenge and a chance.”

Like many people today — both proponents and opponents of affirmative action — he expressed reservations about relying on diversity as the constitutional basis for racial preferences.

Carter bristled at the judgment of many of his Black peers, describing several situations in which he found himself accused of being “inauthentically” Black, as if people of a particular race were a monolith and that those who deviated from it were somehow shirking their duty. He said he didn’t want to be limited in what he was allowed to say by “an old and vicious form of silencing.”

But the implication of recruiting for diversity, Carter explained, had less to do with admitting Black students to redress past discrimination and more to do with supporting and reinforcing essentialist notions about Black people.

An early critic of groupthink, Carter warned against “the idea that Black people who gain positions of authority or influence are vested a special responsibility to articulate the presumed views of other people who are Black — in effect, to think and act and speak in a particular way, the Black way — and that there is something peculiar about Black people who insist on doing anything else.”

A graduate of Stanford and Yale Law, Carter was a proud beneficiary of affirmative action. Yet he acknowledged the personal toll it took (“a decidedly mixed blessing”) as well as affirmative action’s sometimes troubling effects on Black people as the programs evolved.

, it’s hard to imagine Carter welcoming the current vogue for white allyship, with its reductive assumption that all Black people have the same interests and values

He disparaged what he called “the peculiar relationship between Black intellectuals and the white ones who seem loath to criticize us for fear of being branded racists — which is itself a mark of racism of a sort.”

In the past, such ideas might have been seen as “frankly racist,” Carter noted. “Now, however, they are almost a gospel for people who want to show their commitment to equality.”

Carter took issue with the belief, now practically gospel in academic, cultural and media circles, that heightened race consciousness would be central to overcoming racism

However well intentioned you may be, when you reduce people to their race-based identity rather than view them as individuals in their full, complex humanity, you risk making sweeping assumptions about who they are. This used to be called stereotyping or racism.

he rejected all efforts to label him, insisting that intellectuals should be “politically unpredictable.

“Critics who attempt to push (or pull) Carter into the ranks of the Black right wing will be making a mistake. He is not a conservative, neo- or otherwise. He is an honest Black scholar — the product of the pre-politically correct era — who abhors the stifling of debate by either wing or by people of any hue.”

This strikes me as the greatest difference between reading the book today and reading it as an undergrad at a liberal Ivy League college: the attitude toward debating controversial views. “Reflections” offers a vigorous and unflinching examination of ideas, something academia, media and the arts still prized in 1991.

Today, a kind of magical thinking has seized ideologues on both the left and the right, who seem to believe that stifling debate on difficult questions will make them go away

 virtual influencers can also be cost-effective and provide more flexibility than a human alternative. 

“When it comes to an endorsement by a virtual influencer, the followers start questioning the expertness of the influencer on the field of the endorsed product/service,” he says. “Pretending that the influencer has actual experience with the product backfires.”

In one part of the study, about 300 participants were shown a social-media post purported to be from an influencer about either ice cream or sunglasses. Then, roughly half were told the influencer was human and half were told she was virtual. Regardless of the product, participants perceived the virtual influencer to be less credible than its “human” counterpart. Participants who were told the influencer was virtual also had a less-positive attitude toward the brand behind the product.

When the influencers “can’t really use the brand they are promoting,” it’s hard to see them as trustworthy experts, say Ozdemir.

Two groups saw a post with an emotional endorsement where the influencer uses words like love and adore. The other two groups saw a more staid post, focusing on specific software features. In each scenario one group was told the influencer was human and one group was told the influencer was virtual.

For the emotional endorsement, participants found the human influencer to be more credible. Participants who were told the influencer was human also had a more positive view of the brand than those who were told the influencer was virtual.

For the more factual endorsement, however, there was no statistically significant difference between the two groups when it came to influencer credibility or brand perception.

“When it comes to delivering a more factual endorsement, highlighting features that could be found by doing an internet search, participants really didn’t seem to care if the influencer was human or not,”

Why some people can shake off the impulse to eat, and other people stay mired in thoughts about food, is “the million-dollar question,”

There’s another theoretical framework for why Ozempic might quash food noise: Semaglutide activates receptors for a hormone called GLP-1. Studies in animals have shown those receptors are found in cells in regions of the brain that are particularly important for motivation and reward, pointing to one potential way semaglutide could influence cravings and desires.

Ms. Klemmer said she worried about the potential long-term side effects of a medication she might be on for the rest of her life. But she thinks the trade-off — the end of food noise — is worth it. “It’s worth every bad side effect that I’d have to go through to have what I feel now,” she said: “not caring about food.”

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

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

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

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

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

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

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

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

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

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.

What the research has found is that the brains of trans people are unique: neither female nor male, exactly, but something distinct.

But what does that mean, a male brain, or a female brain, or even a transgender one?

It’s a fraught topic, because brains are a collection of characteristics, rather than a binary classification of either/or

yet scientists continue to study the brain in hopes of understanding whether a sense of the gendered self can, at least in part, be the result of neurology

Well, not entirely. Because not every person with a Y chromosome is male, and not every person with a double X is female. The world is full of people with other combinations: XXY (or Klinefelter Syndrome), XXX (or Trisomy X), XXXY, and so on. There’s even something called Androgen Insensitivity Syndrome, a condition that keeps the brains of people with a Y from absorbing the information in that chromosome. Most of these people develop as female, and may not even know about their condition until puberty — or even later.

t there’s a problem with using neurology as an argument for trans acceptance — it suggests that, on some level, there is something wrong with transgender people, that we are who we are as a result of a sickness or a biological hiccup.

trying to open people’s hearts by saying “Check out my brain!” can do more harm than good, because this line of argument delegitimizes the experiences of many trans folks. It suggests that there’s only one way to be trans — to feel trapped in the wrong body, to go through transition, and to wind up, when all is said and done, on the opposite-gender pole. It suggests that the quest trans people go on can only be considered successful if it ends with fitting into the very society that rejected us in the first place.

All the science tells us, in the end, is that a biological male — or female — is not any one thing, but a collection of possibilities.

No one who embarks upon a life as a trans person in this country is doing so out of caprice, or a whim, or a delusion. We are living these wondrous and perilous lives for one reason only — because our hearts demand it.

what we need now is not new legislation to make things harder. What we need now is understanding, not cruelty. What we need now is not hatred, but love.

the important thing is not that they feel like a woman, or a man, or something else. What matters most is the plaintive desire, to be free to feel the way I feel.

CarynAI is the first major release from a company called Forever Voices. The company previously has created realistic AI chatbots that allow users to talk with replicated versions of Steve Jobs, Kanye West, Donald Trump and Taylor Swift

CarynAI is a far more sophisticated product, the company says, and part of Forever Voices’ new AI companion initiative, meant to provide users with a girlfriend-like experience that fans can emotionally bond with.

John Meyer, CEO and founder of Forever Voices, said that he created the company last year, after trying to use AI to develop ways to reconnect with his late father, who passed away in 2017. He built an AI voice chatbot that replicated his late father’s voice and personality to talk to and found the experience incredibly healing. “It was a remarkable experience to talk to him again in a super realistic way,” Meyer said. “I’ve been in tech my whole life, I’m a programmer, so it was easy for me to start building something like that especially as things got more advanced with the AI space.”

Meyer’s company has about 10 employees. One job Meyer is hoping to fill soon is chief ethics officer. “There are a lot of ways to do this wrong,”

One safeguard is trying to limit the amount of time a user is allowed to chat with CarynAI. To keep users from becoming addicted, CarynAI is programmed to wind down conversations after about an hour, encouraging users to pick back up later. But there is no hard time limit on use, and some users are spending hours speaking to CarynAI per day, according to Marjorie’s manager, Ishan Goel.

“I consider myself a futurist at heart and when I look into the future I believe this is the beginning of a very diverse future consisting of AI to human companionship,”

Elizabeth Snower, founder of ICONIQ, which creates conversational 3D avatars, predicts that soon there will be “AI influencers on every social platform that are influencing consumer decisions.”

“A lot of people have just been kind of really mad at the existence of this. They think that it’s the end of humanity,” she said.

Marjorie hopes the backlash will fade when other online personalities begin rolling out their own AI companions

“I think in the next five years, most Americans will have an AI companion in their pocket in some way, shape or form, whether it’s an ultra flirty AI that you’re dating, an AI that’s your personal trainer, or simply a tutor companion. Those are all things that we are building internally,

That strikes AI adviser and investor Allie K. Miller as a likely outcome. “I can imagine a future in which everyone — celebrities, TV characters, influencers, your brother — has an online avatar that they invite their audience or friends to engage with. … With the accessibility of these models, I’m not surprised it’s expanding to scaled interpersonal relationships.”

I think people are enervated not just by the Sisyphean pointlessness of their individual labors but also by the fact that they’re working in and for a society in which, increasingly, they have zero faith or investment. The future their elders are preparing to bequeath to them is one that reflects the fondest hopes of the same ignorant bigots a lot of them fled their hometowns to escape.

It turns out that millions of people never actually needed to waste days of their lives sitting in traffic or pantomime “work” under managerial scrutiny eight hours a day

We learned that nurses, cashiers, truckers and delivery people (who’ve always been too busy to brag about it) actually ran the world and the rest of us were mostly useless supernumeraries. The brutal hierarchies of work shifted, for the first time in recent memory, in favor of labor, and the outraged whines of former social Darwinists were a pleasure to savor.

Of course, everyone is still busy — worse than busy, exhausted, too wiped at the end of the day to do more than stress-eat, binge-watch and doomscroll — but no one’s calling it anything other than what it is anymore: an endless, frantic hamster wheel for survival.

The pandemic was the bomb cyclone of our discontents

American conservatism, which is demographically terminal and knows it, is acting like a moribund billionaire adding sadistic codicils to his will.

An increasingly popular retirement plan is figuring civilization will collapse before you have to worry about it

Midcentury science fiction writers assumed that the increased productivity brought on by mechanization would give workers an oppressive amount of leisure time, that our greatest threats would be boredom and ennui. But these authors’ prodigious imaginations were hobbled by their humanity and rationality; they’d forgotten that the world is ordered not by reason or decency but by rapacious avarice.

In the past few decades, capitalism has exponentially increased the creation of wealth for the already incredibly wealthy at the negligible expense of the well-being, dignity and happiness of most of humanity, plus the nominal cost of a mass extinction and the destruction of the biosphere — like cutting out the inefficient business of digestion and metabolism by pouring a fine bottle of wine directly into the toilet, thereby eliminating the middleman of you.

Everyone knows how productive you can be when you’re avoiding something. We are currently experiencing the civilizational equivalent of that anxiety you feel when you have something due the next day that you haven’t even started thinking about and yet still you sit there, helplessly watching whole seasons of mediocre TV or compulsively clicking through quintillions of memes even as your brain screams at you — the same way we scream at our politicians about guns and abortion and climate change — to do something.

Enough with the busywork already. We’ve been “productive” enough — produced way too much, in fact. And there is too much that urgently needs to be done: a republic to salvage, a civilization to reimagine and its infrastructure to reinvent, innumerable species to save, a world to restore and millions who are impoverished, imprisoned, illiterate, sick or starving. All while we waste our time at work.

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

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

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

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

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

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

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

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

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

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

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

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