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.
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.
We are so desperate to see a ghost in the machine that we mistake fluent text for genuine cognition. But LLMs are just statistical reconstructions of human language. The real danger isn’t that AI will outsmart us, but that we will outsource our thinking to a calculator of average consensus, forgetting that true meaning only comes from human intention.
AI promises to make writing easier, but the easier it makes writing, the harder it becomes to know if the words are genuinely yours. The real danger isn’t plagiarism; it’s epistemic. When you outsource your words to a machine, you automate self-deception and mistake fluency for understanding.
We mock the relentless optimism and flawless grammar of the AI tone, but the real backlash isn’t about vocabulary. It’s territorial. Phrases like the em dash were markers of human individuality, and AI’s adoption of them makes us feel like our identity is being colonized. If you outsource your style, you outsource your humanity.
The iPhone 18 Pro’s camera improvements aren’t optical breakthroughs—they’re AI hallucinations. Tech reviewers are scoring synthetic, algorithmically generated details as if they were reality. The physics era of smartphone cameras is dead, and the truth of your photos died with it.
The AI safety movement claims to be saving humanity through pure, objective rationality. But beneath the surface, it operates like a charismatic sect where status, intimacy, and tribal belonging override actual science. When the people shaping our technological future are driven by groupthink, we all pay the price.
Google wants you to believe Gemini is an autonomous cybercriminal. In reality, it just found open ports with no passwords. We are watching tech giants weaponize cybersecurity theater to sell AI hype, masking fundamental limitations behind embarrassing marketing stunts.
Servo is the Rust-based, parallel-rendering browser engine the web desperately needs to break the Chrome/WebKit duopoly. But despite a year of sponsored development, it’s trapped in a circular dependency. The barrier isn’t engineering—it’s market structure. Without a corporate giant willing to cannibalize its own stack, Servo risks becoming the next legendary open-source project that never actually ships.
In an era where stable careers are vanishing overnight, the fictional chef Xu Fu from *Dragon Restaurant* offers a blueprint for survival. He didn’t survive a warzone by perfecting a single banquet dish; he survived by adapting his skills to cook with whatever scraps he had. The future belongs to the adaptable, not the specialized.