Gregory Conti:
AI means the death of authorship—and of the inspiration that work which you know reflects human achievement, and human competence, provides to all who read it. We will increasingly become mere “prompters,” at best “collaborators” with the machine. As sci-fi as it sounds, we are already well on our way to becoming mere interchangeable vessels for ChatGPT’s accomplishments and insights. The awe that we feel in reflecting on an Einstein or a Dostoevsky, we will feel toward no one again; Claude cannot be someone’s hero. The whole concept of a “life’s work” that belongs to a great progenitor of ideas is under threat; soon we may have less reason to care who “wrote” a paper with an AI’s help or who inaugurated a theory by prompting Claude than we do about who was riding Secretariat when he won his triple crown.
Conti is reflecting on what AI means for human achievement in the big scheme of things. I don’t have strong feelings about the majority of his points, but this one stands out like a sore, dumb thumb to me.
The crucial word is interchangeable. Give the same powerful tool to ten different people and they do not become interchangeable unless the only thing they contribute is pressing Enter. They bring different questions, accumulated knowledge, obsessions, standards of evidence, aesthetic preferences, capacities for judgment, willingness to reject attractive nonsense, and, perhaps most importantly, different ideas of what is worth doing in the first place. AI can supply an enormous amount downstream of those choices without making the choices cease to matter.
In fact, Conti’s own essay inadvertently demonstrates this. Claude apparently got close to an argument he was already developing, and he found that “phenomenally deflating.” But why was that particular argument significant to him? Why had he chosen those primary sources? Why was he interested in the question? Why does he accept some conclusions and reject others? Claude did not spontaneously decide one morning that technological succession was a threat to human flourishing and pitch an essay to Compact. Gregory Conti did. The machine’s competence can potentially alter how much credit he deserves for particular inferential moves, but it doesn’t turn him into a fungible nozzle through which Claude squirts ideas.
The machine, unlike Secretariat, doesn’t want to run anywhere. Secretariat was an organism pursuing the same immediate end as Ron Turcotte: get around the track ahead of the other horses. Claude has no intellectual project corresponding to Conti’s. It doesn’t care whether AI destroys authorship, whether the argument is published, whether it is true, whether it contradicts something it said yesterday, or whether anybody reads it. It can perform cognitive labor inside a project, sometimes astonishing amounts of it, but the project still has to come from somewhere.
“Claude cannot be someone’s hero” is therefore true and almost completely beside the point. Neither can a forklift. Yet the existence of forklifts has not destroyed our ability to admire someone who deadlifts 1,000 pounds. A forklift can make the human achievement look absurd if the only thing that matters is “how many pounds moved vertically?” But that was never what the human achievement meant. We admire a human being’s ability and desire to do it.
Cars didn’t destroy running. Calculators didn’t destroy mathematical virtuosity. Cameras didn’t eliminate painting. Recorded music didn’t make live musicians pointless. Mechanical advantage doesn’t automatically annihilate human accomplishment because human accomplishment has never consisted simply in maximizing output irrespective of the means. By Conti’s logic, chess should have become meaningless sometime around Deep Blue, because there was “one fewer arena in which a person, through their diligence and hard work and intellect, can shine.” Instead, millions of amateurs remain devoted to the game, and Magnus Carlsen remains famous precisely because nobody gives a damn that Stockfish could annihilate him.
A person who spends twenty years reading, thinking, developing peculiar preoccupations, deciding what questions matter, interrogating an AI, recognizing which of its suggestions are fertile, rejecting ninety-nine others, connecting one result to something he read fifteen years ago, and shaping all of that into a coherent body of work isn’t an “interchangeable vessel.” He’s doing something much closer to what authors have always done: imposing the form of one mind upon heterogeneous material. Conti sees a real problem — machine contribution can become large enough that conventional human credit becomes fraudulent — and expresses it as the much grander and far less defensible proposition that machine capability renders human individuality irrelevant. Those aren’t remotely the same claim.
AI attacks the scarcity of competence much more directly than it attacks the scarcity of salience. Producing a competent essay, competent illustration, competent computer program, competent critique — these things may become astonishingly cheap. Deciding that this obscure conjunction is interesting, that that apparently trivial experience deserves attention, that everybody else is asking the wrong question, that a ridiculous analogy is actually illuminating: those are different faculties. Weirdness is one of the sources from which importance originates. Dostoevsky is not Dostoevsky because he was extraordinarily proficient at generating grammatical Russian prose. Plenty of people could do that. What mattered was the fantastically peculiar configuration of obsessions that made The Brothers Karamazov seem necessary to him in the first place.
This is also why the “interchangeable vessels” line strikes me as almost exactly backwards. The more abundant generic intellectual competence becomes, the more valuable non-interchangeability may become. If everybody has access to something capable of producing a polished 2,000-word essay on Augustine, then “can produce polished prose about Augustine” stops distinguishing anyone. What remains distinctive is: Why Augustine? Why this passage? Why connect it to something your warehouse supervisor said yesterday? Why does that remind you of an obscure Tolstoy diary entry? Why do you find the conventional interpretation unsatisfactory? Why make a joke about forklifts halfway through?
There was a smart-ass kid in my Philosophy 101 class who argued that science could answer all philosophical questions better than philosophy could. My professor’s quip was that science couldn’t answer the question “Why?” Decades ago, when LLMs were still science fiction, that fault line was already obvious to anyone who looked. Science, technology, AI may quickly and effectively answer the question “Given X, how do I achieve Y?” They may have less to say in response to “Why Y?”
If I had to speculate on future trends, I’d suggest that we are probably headed toward a world in which competence is cheap and personality is expensive. And, amusingly, that may make the intellectual oddball rather more valuable, not less. The person who can write the 400th respectable essay about “AI and the Future of Humanity” is in trouble. The lunatic who suddenly realizes that prednisone, French symbolist decadence, and the ability to easily put on one’s socks belong in the same sonnet still has a job.
Most of these big-picture overviews of AI deal in ventose generalizations rather than the interesting particulars. This makes the genre frustrating and nearly useless to me. A sentence like Conti’s “we are already well on our way to becoming mere interchangeable vessels for ChatGPT’s accomplishments and insights” is nearly evidence-proof. What observation would establish that people had become “interchangeable vessels”? What observation would disprove it? The phrase creates an atmosphere rather than identifying a mechanism.
And because so much AI criticism operates at that altitude, it has developed a remarkably standardized inventory of anxieties: loss of authorship, loss of authenticity, deskilling, homogenization, dependence, replacement, alienation, loss of meaning, death of creativity. The nouns change places, but you can often predict the next paragraph. There is something genuinely funny about essays warning that AI will produce generic thinking while themselves reproducing a highly recognizable genre template.