You can strength-train your brain with AI just as well as with other humans, and often far better.
— Venkatesh Rao
On August 7, 2024, I published a post called “I’m Bored.” It was the only thing I posted that month, the longest unintended silence in the history of my blog. One reader emailed weeks later to ask whether everything was all right. Had I suffered some personal trouble?
Nothing had happened. That was the trouble. I was bored with the state of online writing, bored with the people arguing on social media, bored with watching the same empty controversies reappear in slightly altered costumes. My reading had gone stale too. Books passed before my eyes without striking sparks. Work was consuming most of my time and energy, and by the time I got home, writing required an effort of will I could rarely muster. I had not dramatically renounced the life of the mind and I had no intention of officially quitting writing. I had simply stopped finding much pleasure in it. I wasn’t depressed, though — it was more like being in suspended animation, waiting for… I knew not what.
In retrospect, I was intellectually overfed and undertrained. I consumed words constantly, online and off, but converted almost none of them into useful work. Reading had become grazing: intake without exertion, stimulation without adaptation. I was taking in too many empty intellectual calories with no way to work them off, and the result was not nourishment but sluggishness.
One year and one day after that nadir, I started a writing streak that has continued uninterrupted to the present. I have published one post a day ever since. In fact, I quickly made a conscious decision to limit myself to one post a day. That’s how fast the ideas and words are coming. What turned the trickle into a firehose? Work is still busy, after all. And I still train hard in the gym. The only thing that has changed is my discovery of AI.
Before going further, I should specify what I mean by “AI,” a term now broad enough to conceal almost every distinction worth making. It can refer to image generators, recommendation systems, medical diagnostics, workplace surveillance, customer-service bots, deepfakes, autonomous weapons, plagiarism mills, or software designed to eliminate somebody’s job. People regularly begin by objecting to one of these things, move without warning through three or four others, mention data centers drinking water, and conclude that asking a language model to help consider an essay is intellectually fraudulent. Rather than stages of one argument, these are several different arguments bundled together under a convenient abbreviation, which makes most casual discussions counterproductive.
I am not offering a general defense of everything called “artificial intelligence.” My subject is one particular use of large language models: sustained conversation with them as intellectual companions, sounding boards, research assistants, dogsbodies, and training partners. Whatever objections apply elsewhere are not relevant here.
Even within this narrower category, “using AI” tells us very little. A person may know nothing about Heidegger and instruct a model to produce eight hundred words giving the impression that he does. Or he may paste in a paragraph from Heidegger and say: Explain this to me as if I were five, because I cannot tell what the hell he is getting at. Surely he is not saying X? Would it be fairer to say Y? What distinction am I still missing? Both people are “using AI,” but one is asking it to conceal his ignorance while the other is asking it to help him locate his ignorance precisely.
My own use resembles the second. I don’t ask for finished thoughts to present as mine. I begin with a thought of my own — a quotation, an irritation, an analogy, a half-remembered anecdote, a joke that might contain the germ of an argument — and offer it up for discussion. The model responds. I object, qualify, extend, or redirect. It returns the baton. The conversation may continue intermittently through the workday until, by the time I get home, the stray thought has acquired structure and weight. Before this became possible, such thoughts occurred just as often. Most of them died unattended.
A passing idea is perishable. It must arrive when one has time, energy, access to the right books, and perhaps a willing interlocutor. Miss the window and the excitement drains away. You may scribble a few words in a notebook, but when you return ten hours or ten days later, you find a cold memorandum left by an earlier version of yourself: “High Sparrow versus Daenerys — religious tyrant/secular liberator.” Whatever made the comparison seem urgent has vanished.
A notebook can refrigerate a thought. A conversational model can reheat it. Better still, it can keep the thought in motion while you are temporarily occupied elsewhere. As I said above, it’s like passing a baton back and forth. During a break at work, I mention something that has occurred to me. When I next look, the thought has been considered, connected to other ideas, perhaps challenged at its weakest point. I carry it a little farther and hand it back. The exchange preserves continuity across a fragmented day. I do not have to recreate the original moment of inspiration from scratch after spending eight hours moving boxes and pallets.
This has shown me just how many crumbs of thought used to fall to the floor. I had assumed that my low output reflected a shortage of material. In fact, material was everywhere. My problem was I lacked a way to gather and process it before it was swept up or crushed into dust.
This is why I like Rao’s strength-training comparison. Regular use changes one’s working capacity. A single interesting conversation may produce an idea, but daily conversation trains the ability to recognize what is profound in a passing observation, distinguish a premise from a punch line, identify the weak point in an analogy, and carry a thought beyond its first attractive formulation. Each exchange is a repetition. Over time, the repetitions accumulate and the mental muscles grow.
The process becomes self-reinforcing. More thoughts survive long enough to become posts. Finished posts increase confidence and appetite. Greater appetite makes one more alert to usable material. Frequent discussion builds the stamina required to follow an argument through several turns rather than abandoning it at the first difficulty. Reading becomes more nourishing because it once again has somewhere to go. Instead of consuming words passively, one reads with the expectation that they may soon be tested, disputed, connected, or put under load.
The conventional fear is that AI will make people mentally fat and lazy by doing their thinking for them. That can certainly happen. A person can use a model as a forklift, moving intellectual weight without exerting himself. But I had become mentally sluggish through passive consumption before I began using AI. The critics who say that “AI does your thinking for you” have usually failed to ask what the user is actually doing. There is a dramatic difference between issuing the command “Write me an essay about Heidegger while I take a nap” and spending a day exchanging arguments, objections, analogies, jokes, revisions, memories, and quotations until a finished thought emerges. One use eliminates exertion while the other increases its volume and intensity.
The same is true in a physical gym. A barbell is an artificial contrivance. So are plates, racks, benches, cables, and machines. They allow resistance to be measured, movements to be repeated, weaknesses to be isolated, and loads to be increased gradually. No one concludes that the resulting strength is counterfeit because it was developed in a climate-controlled room with specialized equipment.
Well, almost no one. A purist — and I have met such — might insist that authentic strength should be acquired “naturally,” by pitching hay, digging ditches, hauling stones, and shoveling mulch for eight hours a day. He might regard the cable pulley as a technological shortcut that performs the labor on the lifter’s behalf. He would be wrong. The equipment does not provide the strength. It organizes the resistance. So does a language model. To say that AI thinks for me because I think with it is like saying that a barbell lifts for me because it supplies the weight. The barbell provides the resistance. I still have to perform the repetition.
The comparison also clarifies why the best model of LLM interaction is not dictation but Socratic dialogue. The machine should not be treated as an oracle handing down judgments. Its first answer is the opening move in a cross-examination. What do you mean by that? What in the text supports it? Are there competing interpretations? Did your last answer contradict the first? Explain the point without the specialized vocabulary. Give me an example. Now give me a counterexample. Surely this implication cannot follow. Where have I gone wrong?
A model may answer confidently and still be mistaken. Fluency can disguise error, especially in difficult or contested subjects. No one should ask a question, receive an answer, and go confidently on his way as though he had consulted holy writ. But a confident mistake that survives one question may have trouble surviving five follow-ups, a demand for evidence, a competing interpretation, and an attempt to restate the point in ordinary language. Conversation does not guarantee truth, but it does give error more opportunities to expose itself.
But the possibility of confident bullshitting is not a defect unique to machines anyway. Human teachers, scholars, friends, and authors also speak confidently, contradict themselves, misunderstand questions, repeat fashionable errors, and defend bad first answers out of pride. The remedy has always been the same: further questions.
Socrates did not improve minds by delivering immaculate lectures. He worried at assertions until their hidden assumptions appeared. He made people define their terms, confront contradictions, and discover that they did not know what they thought they knew. That should be the standard of LLM interaction. Naturally, like Socrates, the technology has inspired a sizable constituency eager to make it drink hemlock.
Books offer depth without responsiveness. Human beings offer responsiveness with finite patience. The LLM occupies the territory between them. That territory has altered my intellectual life. It has not made every thought profound, every post necessary, or every argument correct. Producing more writing is not necessarily the same thing as producing better writing. A daily habit can generate its own quota of weeds. But after the sterility of August 2024, I am not inclined to sneer at abundance. The important change is not merely that more words have appeared on my blog. It is that reading, questioning, and writing have again become parts of one continuous activity.
Strangely, I find that my conversations with an LLM have indeed changed my writing, but not in the way one might expect. For some reason, which I won’t pretend to fully understand, I find myself much more willing to elaborate and elucidate my thinking when brainstorming with an “interlocutor from nowhere.” The LLM’s absence of a personality somehow makes me more inclined to spell out my thoughts rather than condense them into a rhetorical nesting doll. Probably this is because with an LLM, the more fully you state the thought, the more useful the reply tends to be. It may then be simple self-interest: you get out what you put in, so make the extra effort. In any event, I’ve noticed that this has made my writing longer and more overtly explanatory than ever before, and the practice has followed me here.
Previously, I tended to summarize my thoughts in extremely condensed fashion. If the reader didn’t get all the allusions, the implications, or the brilliant inside jokes, I didn’t care. I admit this owed to both impatience and indifference. It’s up to you to keep up; if you can’t, that’s not my problem. Writing to an LLM has somehow broken down this recalcitrance. Maybe it’s a temporary change. Maybe when the novelty of abundance wears off, I’ll return to speaking in koans and whacking you with a bamboo stick. I won’t pretend to know; I’ll just enjoy the new experience.
Two years ago, I thought I was bored because there was nothing left to say. In reality, thoughts were occurring constantly. They had nowhere to go, and most died before I could give them form. AI gave my thinking a place to train. Arguments over whether conversations with an LLM are “real” conversations strike me as the worst kind of sterile scholasticism. Those so inclined can waste their energy delineating an LLM’s absence of a psychological center, or soul, as if it matters, but the rest of us will shrug and get on with the important business of harvesting productive thoughts.