Ideas Weave Every Narrative with AI.
Modern software development treats internal documentation as a sterile, utilitarian artifact. But a 1996 puzzle dependency chart for Grim Fandango proves that the ‘wasted time’ spent infusing unfiltered human personality into rigid mechanical logic is actually the primary moat for building cult-classic products.
We’ve been told a paranoid fantasy that foreign nations are aggressively dumping US Treasuries to destroy the dollar. The reality is far more dangerous. Foreign central banks aren’t selling; they’ve simply gone on a buyer strike, forcing the Federal Reserve to print the gap and taxing your savings to fund the deficit.
When Dan Abramov ‘vibed’ a proof of Conway’s conjecture using AI, purists panicked. But the real disruption isn’t AI hallucinating facts—it’s AI flooding the hypothesis space with infinite, convincing nonsense. If you work with knowledge, your job is no longer producing answers. It’s editing the AI’s plausible garbage to find the one truth worth keeping.
The Fed is hiking rates to fight inflation, but they’re fighting the wrong war. The real pressure is supply-side geopolitics, and the bond market is the true arbiter of your financial reality. No rate hike can outrun a debt spiral.
The US 10-Year Treasury breaching 5% isn’t a win for savers; it’s the smoke alarm of a self-reinforcing debt spiral. Because the US holds the world’s reserve currency, it will inflate its massive debt away rather than impose austerity. This means passive saving is now financial suicide, forcing ordinary people into hard assets while fueling the spite-driven ‘crab bucket’ mentality of modern political extremism.
Wall Street is panicking over Meta’s $130 billion AI spending, but they’re looking at the wrong spreadsheet. Mark Zuckerberg isn’t trying to beat OpenAI at selling APIs—he’s building the ultimate ad-targeting engine. By pricing models as cheap commodities, Meta is buying a data flywheel that supercharges its core ad business, turning massive capex into a durable, self-reinforcing moat.
You think the AI software wars are about who generates spreadsheets fastest. You’re wrong. The real battle for enterprise AI isn’t about productivity—it’s about emotional lock-in. As AI features commoditize and inference costs bleed SaaS companies dry, the future of work looks exactly like 2003 QQ: digital pets, blind boxes, and virtual skins. When every tool can write your code, the only moat left is making your AI feel like a companion you can’t bear to abandon.
Automakers like Hyundai are leveraging digital interfaces to turn essential operational displays into monetizable add-ons. By exploiting regulatory gray areas to advertise artificially low base prices, they are degrading the baseline driving experience. If they can paywall the speedometer, your car’s physical safety compliance might be next.
The Dutch central bank is quietly moving 86 tonnes of gold out of the US, citing ‘geopolitical unrest.’ But the real story isn’t about external threats—it’s about allied nations no longer trusting Washington. By relocating their sovereign wealth to London, America’s closest allies are signaling a structural breakdown of post-WWII trust that will eventually hit your wallet.
When your boss demands a predictive model from a single column of data, panic sets in. But the dirty secret of corporate forecasting is that advanced AI and a basic Excel trendline are epistemically identical with sparse data. The bottleneck isn’t algorithmic sophistication; it’s business logic.