michael-dean-k/

Good voice is writing that's unchained from a single register. This is why default AI sounds so robotic: even if you prompt it with the precise style you want, it applies the same approach to every single sentence to make a monotonous caricature. No matter what it is, it’s numbingly uniform.

I find that if a writer gets caught in any register (only hilarious, only referencing Aristotle, only confessing terrible things, every sentence is a metaphor), it becomes annoying and unbelievable. We probably all have our default register. I get annoyed when I catch myself stuck in an analytical register. People don’t act like this IRL. People are 75-sided and context dependent.

As a writer skirts over different objects of focus, the tone should alternate between opposite modes: certainty and doubt, anger and love, approachability and authority, active voice and passive voice. There’s obviously no single tone that’s better than any other, but adaptive tone is better (=more organic) than drone tone. 

Organic voice is, I think, one of the halmarks of the essay. While other genres are locked into specific registers (research papers are certain, neutral, and authoritative, with terrible passive constructions to capture every nuance), essays are exciting because they capture the multitudes of expression.

You don’t have a phone problem, you are just poisoning yourself. I'm tired of people lamenting over phones, smartphones, screens—it's not the glass! I want to make a case why smartphones are essential for flourishing in our modern life. The real problem is with “inbound feeds,” and that’s not just social media, but email inboxes and task lists. By installing software with infinite refresh, the possibility of novelty consumes you. I say this all out loud to my wife, as the guy next to me is absorbed in a sloptunnel on TikTok, and it’s 50/50 if he heard me.

On X there is a photo there is about Molly, a reporter, talking to Alex Karp, CEO of Palantir. The comments are debating if either of their outfits are appropriate, before someone says, “Grok, interpret this,” and now there’s a video of them embracing and making out. More videos show up in the comments: them playing Twister, them dancing, them Kung Fu fighting, Molly turning into a rocket and busting through the ceiling. There’s one of Alex Karp wielding a rare Japanese sword; that one was real though. There aren’t watermarks, so you can’t tell. We are basically already in the age where anything can be remixed with AI without effort.

"While great artworks can be produced in isolation, art movements — which organize disparate works into coherent scenes and sensibilities — are what contribute to a feeling of progress. If we assume that innovation can be measured by new artistic movements, and those movements are facilitated by a critical culture, then a weakened critical ecosystem will lead to the “blank space” that W. David Marx describes, where art and culture feel stagnant." —Celine Nguyen, Is the Internet Making Culture Worse?

I like this definition: "a movement is about organizing disparate works into a coherent scheme, scene, sensibility." It means literary movements are just on the other side of ambitious curation projects. This resonates with me more than the forward-looking battle cries, with pleas like, “we need to start a literary revolution!” I mean, maybe that helps some people, but even if it did, they wouldn’t be legible until someone retroactively made sense of them. So basically, the challenge is having a tight feedback loop where critics and curators are able to make sense of, assemble, and mythologize the immediate past. Scene-making is retroactive.

Throughout history, I think it’s relied on self-elected individuals to do this work; that will always be important, and I’m excited to step into this role (starting with this year’s $10k essay prize). But as we enter a future with delirious volume: included human art, human slop, machine slop, and machine art, I wonder if it will be the scope of things to consider will grow way beyond the scope of what humans can handle. This might be an example of how we need to use algorithms for good. Our current “discovery” algorithms are based on popularity and interest, more optimized to alter user behavior than to curate a contemporary canon. 

Our challenge, or at least the challenge I’m excited about, is to program algorithms that can process inhuman volume, while having a reliable signal on humanity (quality, perspective, theme, etc.).