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it’s worth acknowledging that adhering to these necessary rules cuts against some core aspects of human nature. I’m of the opinion that people should not bring their “whole self” to work — no one owes an employer that — but it’s also impossible to bring none of your personal self to work.

There are good reasons that both formal and informal boundaries are a necessity in the workplace and academia

, we know from the science of linguistics and the philosophy of knowledge that they differ profoundly from how humans reason and use language. These differences place significant limitations on what these programs can do, encoding them with ineradicable defects.

It is at once comic and tragic, as Borges might have noted, that so much money and attention should be concentrated on so little a thing — something so trivial when contrasted with the human mind, which by dint of language, in the words of Wilhelm von Humboldt, can make “infinite use of finite means,” creating ideas and theories with universal reach.

The human mind is not, like ChatGPT and its ilk, a lumbering statistical engine for pattern matching, gorging on hundreds of terabytes of data and extrapolating the most likely conversational response or most probable answer to a scientific question

the human mind is a surprisingly efficient and even elegant system that operates with small amounts of information; it seeks not to infer brute correlations among data points but to create explanations

such programs are stuck in a prehuman or nonhuman phase of cognitive evolution. Their deepest flaw is the absence of the most critical capacity of any intelligence: to say not only what is the case, what was the case and what will be the case — that’s description and prediction — but also what is not the case and what could and could not be the case

Those are the ingredients of explanation, the mark of true intelligence.

Here’s an example. Suppose you are holding an apple in your hand. Now you let the apple go. You observe the result and say, “The apple falls.” That is a description. A prediction might have been the statement “The apple will fall if I open my hand.”

an explanation is something more: It includes not only descriptions and predictions but also counterfactual conjectures like “Any such object would fall,” plus the additional clause “because of the force of gravity” or “because of the curvature of space-time” or whatever. That is a causal explanation: “The apple would not have fallen but for the force of gravity.” That is thinking.

The crux of machine learning is description and prediction; it does not posit any causal mechanisms or physical laws

any human-style explanation is not necessarily correct; we are fallible. But this is part of what it means to think: To be right, it must be possible to be wrong. Intelligence consists not only of creative conjectures but also of creative criticism. Human-style thought is based on possible explanations and error correction, a process that gradually limits what possibilities can be rationally considered.

ChatGPT and similar programs are, by design, unlimited in what they can “learn” (which is to say, memorize); they are incapable of distinguishing the possible from the impossible.

Whereas humans are limited in the kinds of explanations we can rationally conjecture, machine learning systems can learn both that the earth is flat and that the earth is round. They trade merely in probabilities that change over time.

For this reason, the predictions of machine learning systems will always be superficial and dubious.

some machine learning enthusiasts seem to be proud that their creations can generate correct “scientific” predictions (say, about the motion of physical bodies) without making use of explanations (involving, say, Newton’s laws of motion and universal gravitation). But this kind of prediction, even when successful, is pseudoscienc

While scientists certainly seek theories that have a high degree of empirical corroboration, as the philosopher Karl Popper noted, “we do not seek highly probable theories but explanations; that is to say, powerful and highly improbable theories.”

The theory that apples fall to earth because mass bends space-time (Einstein’s view) is highly improbable, but it actually tells you why they fall. True intelligence is demonstrated in the ability to think and express improbable but insightful things.

This means constraining the otherwise limitless creativity of our minds with a set of ethical principles that determines what ought and ought not to be (and of course subjecting those principles themselves to creative criticism)

True intelligence is also capable of moral thinking

To be useful, ChatGPT must be empowered to generate novel-looking output; to be acceptable to most of its users, it must steer clear of morally objectionable content

In 2016, for example, Microsoft’s Tay chatbot (a precursor to ChatGPT) flooded the internet with misogynistic and racist content, having been polluted by online trolls who filled it with offensive training data. How to solve the problem in the future? In the absence of a capacity to reason from moral principles, ChatGPT was crudely restricted by its programmers from contributing anything novel to controversial — that is, important — discussions. It sacrificed creativity for a kind of amorality.

Here, ChatGPT exhibits something like the banality of evil: plagiarism and apathy and obviation. It summarizes the standard arguments in the literature by a kind of super-autocomplete, refuses to take a stand on anything, pleads not merely ignorance but lack of intelligence and ultimately offers a “just following orders” defense, shifting responsibility to its creators.

In short, ChatGPT and its brethren are constitutionally unable to balance creativity with constraint. They either overgenerate (producing both truths and falsehoods, endorsing ethical and unethical decisions alike) or undergenerate (exhibiting noncommitment to any decisions and indifference to consequences). Given the amorality, faux science and linguistic incompetence of these systems, we can only laugh or cry at their popularity.

being with him wasn’t like being with a conventional person; it was like being with an entity who was playing the role of Donald Trump. And that role had no sense of continuity. He was fully immersed in whatever dominance battle he was fighting at that moment.

I wonder if the era of the short-attention spans and the online avatars is creating a new character type: the person who doesn’t experience life as an accumulation over decades, but just as a series of disjointed performances in the here and now, with an echo of hollowness inside.

McAdams calls Trump an “episodic man,” who experiences life as a series of disjointed moments, not as a coherent narrative flow of consciousness

“He does not look to what may lie ahead, at least not very far ahead,” McAdams writes. “Trump is not introspective, retrospective or prospective. There is no depth; there is no past; there is no future.”

In his book, “The Strange Case of Donald J. Trump,” the eminent personality psychologist Dan McAdams argues that Trump could continually lie to himself because he had no actual sense of himself. There was no real person, inner life or autobiographical narrative to betray.

As the philosopher Alasdair MacIntyre once observed, you can’t know what to do unless you know what story you are a part of.

People believe that memory should be effortless, but their expectations for how much they should remember are totally out of whack with how much they’re capable of remembering.1

What is the most common misconception about memory?

Another misconception is that memory is supposed to be an archive of the past. We expect that we should be able to replay the past like a movie in our heads.

we don’t replay the past as it happened; we do it through a lens of interpretation and imagination.

How much are we capable of remembering, from both an episodic2 2 Episodic memory is the term for the memory of life experiences. and a semantic3 3 Semantic memory is the term for the memory of facts and knowledge about the world. standpoint?

I would argue that we’re all everyday-memory experts, because we have this exceptional semantic memory, which is the scaffold for episodic memory.

If what we’re remembering, or the emotional tenor of what we’re remembering, is dictated by how we’re thinking in a present moment, what can we really say about the truth of a memory?

But if memories are malleable, what are the implications for how we understand our “true” selves?

your question gets to a major purpose of memory, which is to give us an illusion of stability in a world that is always changing. Because if we look for memories, we’ll reshape them into our beliefs of what’s happening right now. We’ll be biased in terms of how we sample the past. We have these illusions of stability, but we are always changing

And depending on what memories we draw upon, those life narratives can change.

I know it sounds squirmy to say, “Well, I can’t answer the question of how much we remember,” but I don’t want readers to walk away thinking memory is all made up.

One thing that makes the human brain so sophisticated is that we have a longer timeline in which we can integrate information than many other species. That gives us the ability to say: “Hey, I’m walking up and giving money to the cashier at the cafe. The barista is going to hand me a cup of coffee in about a minute or two.”

There is this illusion that we know exactly what’s going to happen, but the fact is we don’t. Memory can overdo it: Somebody lied to us once, so they are a liar; somebody shoplifted once, they are a thief.

If people have a vivid memory of something that sticks out, that will overshadow all their knowledge about the way things work. So there’s kind of an illus

we have this illusion that much of the world is cause and effect. But the reason, in my opinion, that we have that illusion is that our brain is constantly trying to find the patterns

I think of memory more like a painting than a photograph. There’s often photorealistic aspects of a painting, but there’s also interpretation. As a painter evolves, they could revisit the same subject over and over and paint differently based on who they are now. We’re capable of remembering things in extraordinary detail, but we infuse meaning into what we remember. We’re designed to extract meaning from the past, and that meaning should have truth in it. But it also has knowledge and imagination and, sometimes, wisdom.

memory, often, is educated guesses by the brain about what’s important. So what’s important? Things that are scary, things that get your desire going, things that are surprising. Maybe you were attracted to this person, and your eyes dilated, your pulse went up. Maybe you were working on something in this high state of excitement, and your dopamine was up.

It could be any of those things, but they’re all important in some way, because if you’re a brain, you want to take what’s surprising, you want to take what’s motivationally important for survival, what’s new.

On the more intentional side, are there things that we might be able to do in the moment to make events last in our memories? In some sense, it’s about being mindful. If we want to form a new memory, focus on aspects of the experience you want to take with you.

If you’re with your kid, you’re at a park, focus on the parts of it that are great, not the parts that are kind of annoying. Then you want to focus on the sights, the sounds, the smells, because those will give you rich detail later on

Another part of it, too, is that we kill ourselves by inducing distractions in our world. We have alerts on our phones. We check email habitually.

When we go on trips, I take candid shots. These are the things that bring you back to moments. If you capture the feelings and the sights and the sounds that bring you to the moment, as opposed to the facts of what happened, that is a huge part of getting the best of memory.

this goes back to the question of whether the factual truth of a memory matters to how we interpret it. I think it matters to have some truth, but then again, many of the truths we cling to depend on our own perspective.

There’s a great experiment on this. These researchers had people read this story about a house.8 8 The study was “Recall of Previously Unrecallable Information Following a Shift in Perspective,” by Richard C. Anderson and James W. Pichert. One group of subjects is told, I want you to read this story from the perspective of a prospective home buyer. When they remember it, they remember all the features of the house that are described in the thing. Another group is told, I want you to remember this from the perspective of a burglar. Those people tend to remember the valuables in the house and things that you would want to take. But what was interesting was then they switched the groups around. All of a sudden, people could pull up a number of details that they didn’t pull up before. It was always there, but they just didn’t approach it from that mind-set. So we do have a lot of information that we can get if we change our perspective, and this ability to change our perspective is exceptionally important for being accurate. It’s exceptionally important for being able to grow and modify our beliefs