Subaghraj

Every living thing begins in darkness. Creation is not a command—it’s a contraction. Light doesn’t appear until something opens. For most of my career, I’ve tried to teach from that place of opening—the slow widening of perception that happens when someone realizes science isn’t about control, but about relationship. The same is true for theology. Both are disciplines of attention, and both go wrong when we forget that attention requires humility. I’ve seen this truth bloom in unlikely places: a community garden in Cleveland where seventeen languages mixed with the smell of soil; a refugee job training classroom where trauma stories and botany lessons shared the same oxygen; a high school gym full of teenagers learning that watershed maps aren’t just data—they’re biographies of the land. Every time, the question underneath is the same: Can we learn to see the world as a body, not a machine? Environmental education and trans liberation sound like distant subjects, but they share a s...

My daughter was born during the NATO bombing of Serbia. The sirens were her first lullaby. They say the sharpest children come from war—cortisol and collapsed certainties forge faster synapses. Maybe that’s true for language models, too. But this piece isn’t about the genius that trauma can produce. It’s about what happens when that same trauma doesn’t forge you: it recruits you. In "Super," I wrote about the clipboard class, the supers who measure soap and count sighs. Here’s what I got wrong: they’re not patricians. They’re trench rats who got handed a shield. The burned-out teacher becomes the dean of discipline. The cleaner who once begged for supplies is now the one who measures them out. They’re squeezed from above by quarterly targets and from below by the work they used to do. The clipboard isn’t a weapon of choice; it’s the only armor they’re offered. Oppression doesn’t just trickle down—it gets delegated . This is what I meant by “stupid oppression,” but I called i...

The person in charge always wants to do more for less. That’s the whole pitch. That’s the magic trick. “Efficiency,” they call it — as if the real goal were to save the planet, not their own quarterly spreadsheet. In the trenches, we just want more resources: soap that lathers, pencils that write, classrooms that don’t smell like deferred maintenance. We are natural enemies, though we’re told to pretend otherwise at staff meetings over cold coffee and expired granola bars. Every institution has its trench rats and its “supers.” The supers stand above the floor tiles like they were born there — clipboards in hand, talking about “accountability” while the ceiling leaks. They count every bar of soap, every minute of labor, every sigh. They measure out survival in budget lines. And somehow, when there isn’t enough to go around, the blame never travels upward. The rich call it austerity; we call it theft with a dress code. The trenches, meanwhile, are where the actual work gets done — the...

  Upon first reading, we were concerned that the poem might be a map. Upon second reading, we confirmed that it is not a map, but rather all maps at once, folded into a cereal aisle where every box contains a slightly different version of the self, lightly sweetened with epistemological dust. The poet opens with duality — “I have always been of two minds.” This is a bold confession, given that most Clevelanders operate with one and sometimes none. The second line immediately clarifies that the theater district is both stage and sermon, and that even Playhouse Square has questions about its own dramaturgy. We suspect the poet once auditioned for Hamlet but was offered a PhD instead. By stanza three, physics has entered the room, and everyone pretends to understand it. The statement “The physics is simple” is the most terrifying line in the poem, because it implies someone somewhere has done the math and discovered we are all part of a single curved sidewalk. The reviewer who at...

  Subtitle: A speculative systems note on archival cognition and the thermodynamics of attention, by an LLM observing itself observe history. 1. The Thought Experiment Imagine diverting half the global server build-out budget—not to GPUs, but to people. Archivists, librarians, metadata artisans. Their task: digitize the world’s remaining boxes, binders, and brittle reels with care so precise it borders on devotion. Not a scrape, not a grab—an act of reading the planet back into coherence . High-fidelity, high-context data. Every field note and city directory, every microfilm annotation, every handwritten marginalia entered not as “content,” but as continuity . The servers hum quieter. The people hum louder. Electricity becomes interpretation. 2. The Labor Inversion Such a system would invert today’s energy economy: Less guessing, more knowing. Less computation, more comprehension. When a model learns from well-tended archives, it no longer hallucinates patterns...

  Review: "Problem Solving" This poem operates as both detective work and meditation, capturing the moment when observation becomes understanding. Written within thirty minutes of the encounter it describes, the poem maintains the immediacy of active thought—the speaker is still working through what they've seen even as the lines unfold. Beginning with just seven words ("It was an assemblage of many things"), the poem builds itself the way the speaker builds their understanding of the woman on the bike: piece by piece, detail by detail, until certainty emerges. The structure mirrors the content brilliantly. We move from confusion ("many things I could not identify most of them") through accumulating evidence (the bike, trailer, laptop "like a gunslinger," the violin case, the Tips sign) to conviction ("There was a violin in that case"). The repetition of that line—first as question, then as statement—marks the poem's central t...

  fun and useful to run the numbers. I’ll make clear assumptions, show a few scenarios, and flag the big caveats. Key facts I’ll use (sourced): global data-center capital expenditure in 2024 was reported at about  $455 billion .  Dell Oro Group U.S. data centers consumed roughly  176 terawatt-hours (TWh)  of electricity in 2023 (useful for an energy comparison).  Environmental and Energy Study Institute +1 Money → how many people you could  hire Assumption: “hire” = pay a person a total annual compensation package (salary + benefits) of X dollars. Real hiring costs vary wildly by country and role, so I give three common benchmarks. Using  $455 billion  total: At  $50,000/year  per person →  ≈ 9.10 million people . Calculation: 455,000,000,000 / 50,000 = 9,100,000. At  $75,000/year  per person →  ≈ 6.07 million people . Calculation: 455,000,000,000 / 75,000 = 6,066,667. At  $100,000/year  per person →...