Ideas Weave Every Narrative with AI.
Harvard can now predict suicide attempts a week in advance using self-surveys and real-time alerts. But by reducing profound existential despair to a predictable data point, institutions are trading genuine human care for dystopian surveillance, stripping away our autonomy in the name of preserving life.
We thought AI only reflected human racism. We were wrong. Large language models are autonomously inventing entirely new, alien prejudices against fake demographic groups. Current debiasing techniques are a joke, and we are handing these autonomous prejudice-creation machines the keys to hiring, lending, and law.
Terence Tao recently warned that AI is treating open math problems like a non-renewable resource, collapsing centuries of inquiry into instant extractions. This isn’t about machines replacing mathematicians—it’s about the destruction of the intellectual ecosystem itself. When answers become cheap, the scarce resource is knowing which questions to ask.
France just forced high schoolers to read newspapers to foster ‘critical thinking.’ But this isn’t about literacy—it’s a desperate institutional attempt by older generations to restore traditional media gatekeepers. By mandating dumbed-down, fear-mongering legacy media, schools aren’t indoctrinating kids. They’re accidentally accelerating a generation of elite BS-detectors.
We are constantly told that AI will democratize scientific discovery. But the recent scandal involving OpenAI and an NYU mathematician reveals a darker truth: AI isn’t a tool for open science; it’s a corporate battering ram designed to steamroll individual researchers and hoard institutional prestige.
OpenAI’s recent approach to the Navier-Stokes equation isn’t a triumph of artificial intelligence. By burning 300 billion tokens and 4.9 million agent messages to brute-force a solution, they’ve established a terrifying new reality: human brilliance is dead, and exorbitant compute costs are the new barrier to entry.
For centuries, the Catholic Church venerated two saints named Barlaam and Josaphat. The twist? They were entirely fictional, and ‘Josaphat’ was actually the Buddha. This is the story of how a Buddhist prince became a Christian saint, and why the Church quietly erased him in the 20th century to hide the fact that they had canonized a borrowed fiction.
The 2025 PISA results show a sharp decline in reading and math scores across the OECD. But students aren’t getting dumber; they are rationally divesting from skills with diminishing economic returns. As AI devalues traditional academic tasks, the decline in test scores isn’t an academic failure—it’s a market correction.
We’ve all felt the dreaded spray in a public restroom. Science recently tried to fix it, creating a mathematically perfect, splash-free urinal. But the pure physics solution failed in the real world. Here is why the best design doesn’t win, and why the ultimate fix is culturally unacceptable.
AI researchers claim to find ‘universal geometry’ in machine learning models, but this pursuit often conflates genuine semantic alignment with statistical noise. Much of AI interpretability is cyberphrenology—reading deep meaning into high-dimensional coincidences. We are building safety protocols on mathematical vibes, not rigorous proofs.