Ideas Weave Every Narrative with AI.
Multi-billion-dollar AI labs use sanitized benchmarks to prove their models are “safe,” showing us endless pelicans on bicycles. But true model robustness isn’t tested by corporate datasets—it’s tested by the internet’s relentless, crude humor. Welcome to Assbench, the absurd benchmark exposing what AI actually understands.
Stanford R&DE used AI to race-swap and alter the bodies of real students for an ad campaign. But the real scandal isn’t the tech. It’s the institutional vanity that deemed the original students insufficient—and normalized rewriting human faces to fit a marketing quota.
AI companies aren’t actually replacing mathematicians—they are hijacking their credibility. By forming advisory groups, tech giants are borrowing the legitimacy of top minds like Terence Tao to validate AI results, creating a dangerous blueprint for hijacking institutional authority across every credentialed field.
Tech giants like Tencent and ByteDance are quietly launching platforms to crowdsource elite professionals—doctors, lawyers, and engineers—as gig workers to train their AI models. This isn’t just an AI talent war; it’s the commoditization of white-collar labor. They are paying experts to build the very systems that will eventually undercut their professions, turning hard-won expertise into cheap, disposable data.
A new list of biological ‘Millennium Problems’ promises a roadmap for the future of life sciences, but it borrows the prestige of mathematics without the rigor. By focusing on engineering endpoints like limb regeneration and cryopreservation, it completely ignores the deepest theoretical mystery of all: how biological form emerges.
Terence Tao recently asked why we need human mathematicians anymore. The fear of AI replacing us is real, but it misses the point. The true danger isn’t obsolescence—it’s a world where we get infinite answers from a black box, but lose the intuition to understand what they mean.
The ‘a vs. an’ rule isn’t a standardized grammatical law—it’s a phonetic reflex designed to keep your vocal cords from doing gymnastics. Grammar pedants who argue over ‘a historic’ versus ‘an historic’ aren’t defending universal truth; they’re just broadcasting their regional accents. Stop memorizing rules and start trusting how you actually speak.
AI is making proof generation cheap, exposing mathematics’ over-optimization around measurable deliverables. As the field retreats to ‘human intuition,’ it faces a terrifying reality: AI will automate that too. The real crisis isn’t about what AI can’t do, but why we defined our worth by competence at all.
We are taught that science is the ultimate open frontier, but modern academia is a prestige economy that incentivizes hoarding data. The real barrier to open science isn’t missing tools—it’s the terrifying reality that most peer-reviewed truths would collapse if anyone actually tried to run them. True science isn’t a PDF; it’s an executable environment.
The debate over removing classical Chinese from schools is framed as a way to reduce student burden. But classical Chinese is already at its absolute minimum. Cutting it further saves no time but permanently severs our only bridge to 2,000 years of history. We are amputating a limb to lose five pounds.