Ideas Weave Every Narrative with AI.
The nonfiction book market isn’t collapsing—it’s being structurally outcompeted by faster formats like Substack and podcasts, while AI exposes the reality that most modern nonfiction was just low-effort self-help fluff. The physical book no longer guarantees human insight. Authors must now be influencers first, writers second, as the market undergoes a necessary, ruthless correction.
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.
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.
You’ve probably copy-pasted a snippet from an LLM today. It looked fine. But somewhere in that hallucinated logic, a silent bug is waiting. C* is a new language that unifies programming and verification, and its real purpose isn’t to help humans write better C. It’s to keep AI agents from destroying us.
Meta’s new Muse AI promises to be the ultimate personal assistant, booking flights and buying strollers. But beneath the polished interface lies a familiar business model. Muse isn’t built to help you—it’s designed to harvest your most intimate data and feed it directly into Meta’s ad-targeting engine. Convenience is just the bait.
DaVinci Resolve 21.1 is being dismissed as boring by professional editors and heralded as an “agent apocalypse” by others. Both are wrong. The update isn’t about adding an AI feature; it’s about formalizing a control layer for AI agents that were already driving the software via Lua scripts. The real moat is scriptability, not the interface.
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.
You change a single code comment, and your AI agent spins up 4,000 unit tests. We laugh at the AI’s stupidity, but the joke is on us. An agent’s testing ability isn’t a standalone skill—it’s an emergent property of the entire system. If your harness lacks guardrails, the model isn’t to blame. The bottleneck is the feedback loop, not the AI.
The debate over whether AI can code is irrelevant. The real crisis is that AI allows lazy, incompetent processes to scale instantly. When a 5K-line vibe-coded PR hits production untested, it’s not the AI’s fault—it’s the fault of treating production as a publish action rather than a verification process. Speed without guardrails is just technical debt at lightspeed.
The AI 3D race isn’t about who builds the best model—it’s a structural war for the control point of the 3D value chain. OpenAI and Anthropic are hijacking B-end software, ByteDance is bypassing it entirely for C-end experiences, and World Labs is rebuilding spatial logic from scratch. The era of the specialized 3D creator is over; the era of the AI orchestrator has begun.