michael-dean-k/

Here's a list of what I'm reading through May. The strategy is to gather a bunch of well-written anthologies and textbooks across different fields, read them on Kindle, highlight a lot, and then get into conversations with them (that part of the process is TBD):

• Alan Ryan, On Politics: introduction + chapters on Hobbes/Locke
• Harold Bloom, The Western Canon: Introduction + chapter on Montaigne
• Plutarch's Lives: introduction + chapters on Thesseus/Romulus and their comparison
• Russel Brand, A History of Western Philosophy: Introduction, Pythagoras, Liberalism, Locke, Hegel
• How to Read a Book: Part One (Ch 1-5)
• Collins Dictionary: The letter A (TBD, I only have this physical, but want to get back into language)
• Michel de Montaigne, Essais Vol 1-3: Starting with the abridged translation by Screech and then backfilling)
• Alexis de Tocqueville: introduction + Vol 2.1 Ch 1-3, 17; Vol 2.4 Ch 1-4,8,13,20; Vol 2.4 Ch 6-8

“The Internet needs a quality algorithm.” This was the opening line of my essay prize announcement, and I want to revisit it now that it's done. Is there a correlation between writing quality and audience size? 

Algorithms are low-trust right now because they’re adversarial—“for you” gaslighting (usually)—and they reward engagement, popularity, monetization, etc. The 2010s-era algorithms are based on discrete events: clicks, likes, measurable things. They might look at keywords to guess the topic of an essay, but it’s effectively blind to the overall quality of a piece. Quality is nebulous, after all. Small magazines can each have their own vision of what’s good, but for a million/billion-person network, there’s no consensus, and quantity is way more important anyway.

So this essay competition was a v1 attempt to define and search for quality. The overall search space was small, but it was a chance to experiment with curation, and resulted in The Best Internet Essays 2025. It’s interesting to me that the featured writers ended up varying in audience size, evenly distributed between 10s, to 100s, to 1,000s, to 10,000+ subscribers.

Again, limited sample, but interesting to ponder: the tangible thing (reach) is a power law distribution (1% have big audiences), but the intangible thing (quality), the thing that matters more, is independent of scale. It means that for all the great writers with 10k audiences who are highly visible, there are possibly 100x writers of similar caliber who are undiscovered, in algorithmic obscurity. 

This isn’t too surprising, and the usual reply is, “well it’s not enough to write well, it’s your responsibility to be consistent, to be your own marketer and publicist, to make sure your work gets read.” I get that this is what’s been required, but what if it weren’t? Wouldn’t it be better if a platform could search for quality at scale so writers could just do their thing? This would also give visibility to those who aren't full-time writers, people who publish 1-2 essays per year around the interesting problems they’re working on, but have no bandwidth to build an audience each week.

Still have to think through v2, the 2026 prize, but the question in my mind is how can I expand the search space? Can I have agents scan the Internet, assemble RSS feeds to find great essays, design an algorithm to filter for the previously intangible, build community into the process, and then curate/share the stuff that comes through? The aspiration is to get better each year at surfacing great essays from independent writers on the basis of merit, and this book is what came through the first pass.

We’re printing the Internet. Remarkable essays are published online every day, but they’re only getting harder to find. This is a first attempt to find the signal in the slop: a hardcore judging process, 13 essays that capture our times, all in a pocket-sized paperback.

100% of royalties go to the writers, judges, and the 2026 prize pool.

Featured writers: Tommy Dixon, Matt Švarcs Richardson, Lily, James Taylor Foreman, Alissa Mears, Kylan Emms, Noelle Perdue, Max Nussenbaum, Catherine Melo, Simon Sarris, Garrett Kincaid. Judges: Henrik Karlsson, Charlie Bleecker, Alex Dobrenko`, CansaFis Foote, Elle Griffin, Dylan O'Sullivan, Jasmine Sun, Isabel, and Lellida Marinelli.

"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.).

If you give an infinite amount of monkeys a typewriter, with an infinite amount of time (obviously theoretical because neither a being or time can be infinite) not only will one of them produce Shakespeare, but the entire Western Canon would be re-derived from scratch in every moment of reality. This captures the difference between astronomic values and infinite values. In astronomic values, given an absurd amount of time, one monkey will eventually do the the impossible and write Shakespeare. But with infinite values, monkeys are inventing Shakespeare as the grammar of space-time. The astronomical shows that the impossible could happen once, but the infinite shows that the impossible could become the fabric of a reality.

And Sora is, like the 2005 Facebook feed, just the start of something new, but something that might actually be as nauseating as the infinite. If you have agents that can reproduce endlessly (potentially infinite “creators”), with the ability to remix/generate one piece of content against every other node in a growing cultural matrix (actually infinite), with limited time/cost (not infinitesimal, but fractional), that leads to every possible reality happening in every moment, at a cost that’s bearable to tech corporations.

I think I find this all interesting now, because something as abstract as the infinite might shape the future of creation/consumption. And to tie this to our talk last night about optimism/pessimism, I think the difference comes down to those who have the agency and discernment to plug in to the infinite on their own terms. It could be as simple as, if you plug in to OpenAI, Meta, or X, and let them use your data to create a generative algorithmic for you, you will be swept away in limitless personalized TV static. But if you know how to build your own tools (hardware, software, social communities), then you have a chance to harness it.

In Sora, I’m currently in a Bob Ross K-Hole, and it triggered an unexplainable interest in trying to explore the edges of Bob Ross lore, which is, now that I write this, so random and pointless and misaligned, but when I do it I’m cracking up and can’t really stop.

Contrast that with my own theoretical "infinite system," where every new log surfaces the 100 most related logs, and then each of those logs becomes the seed for an essay generator, each of which gets rewritten endlessly (for hours, days, or weeks) via an EA software feedback loop, until I decide I want to read it.

And so if you dive into the infinite, even if it’s something you love, it can easily destroy you, and instead we need to make our own systems/agents that can surf those edges for us, and bring back just the right amount of information that we can meaningfully work with.