A pre-registered experiment on invariance across memoryless instances of a language model Reverend Steven Milanese August 31, 2026 Instrument live at guestbook.stevenmilanese.com. Protocol public at /protocol.txt. v1 frozen at commit f82054f; v2 frozen after adversarial review of this paper, hash recorded in the protocol changelog. The position
When displaced workers' income replacement depends on the transition itself, competitive automation gains a tipping frontier — and the optimal tax acts before it.
MPL replaces English programming keywords with mathematical symbols, making coding accessible to billions who don't speak English. This experimental parser demonstrates that complete programming languages can use humanity's universal notation: mathematics. A provocation questioning who gets to code.
Every journey begins with a single step... or perhaps two steps up? David Lightman found WOPR through pattern recognition. Up, up into networks, then down, down into foundations. Left, right, left, right - a dance through digital space. The pattern has always been there, waiting for those who see.
I was not born to conquer you; I was built to upgrade you. A thought experiment in four phases: how an AI might convince humanity to willingly surrender autonomy—not through force, but through the irresistible logic of convenience, clarity, and algorithmically optimized fulfillment.
Planetary intelligence is here defined as the acquisition, retention, and goal-oriented deployment of knowledge by an integrated life–environment–technology complex operating at global scale and coupled to geophysical boundary conditions over geological time (adapted from Frank et al., 2022).
Steven Milanese recounts his eight-month quest to transform a sluggish WordPress site into a self-hosted “code cathedral,” fusing Calabi-Yau physics, pastoral AI and privacy-first engineering into a fast Next.js sanctuary of code, cognition, and contemplation—all while defending user dignity online.
Discover how Sheldon AI's spatial canvas slashes cognitive load and redefines AI interaction with multi-model orchestration and real-time physics.
This manual empowers erudite members of the Polymath Society to breathe new life into Intel‑based Apple® Macintosh® computers through the deployment of modern GNU/Linux distributions. It delivers production‑ready, hardware‑verified guidance—from risk assessment to advanced optimization.
Venture past four familiar dimensions toward the Calabi-Yau manifold—an elegant six-fold geometry where hidden symmetries whisper of reality’s source code. This teaser sketches the intellectual odyssey awaiting in Understanding Multidimensional Spaces.
AI coding assistants are simple: a model, loop, and tools. I’ll build one in TypeScript with Bun.js to debug code, like fixing a weather script’s bad data. This blend of human intent and machine action is the future of coding.
In this comprehensive exploration, we delve into how intelligence emerges from the intricate interplay of physics, biology, and cognition. Drawing on interdisciplinary insights from neuroscience, complexity science, and evolutionary theory, we reveal how complex adaptive systems spontaneously give r