Adaptability

The Real Danger in Today’s Economy Isn’t Inflation. It’s the Analysts.

We are constantly told we are living through the most dangerous period of modern history. But while everyone obsesses over external threats like inflation and geopolitics, the real danger is rotting the system from the inside: the decay of analytical integrity. As analysts become entertainers, the information ecosystem grows fragile. If you rely on commentary to make decisions, you must understand the incentives behind the analysis.

Why Immutable Social Media Is a War on Human Evolution

The tech world’s obsession with immutable, undeletable social media is sold as a cure for accountability. But it’s actually a trap. By making every post permanent, we don’t force people to be honest; we force them to perform false consistency. Immutability punishes intellectual evolution and turns our past mistakes into permanent weapons. The internet shouldn’t be a museum of our worst moments, but a space where we can actually grow.

The Most Dangerous Predictions About the Next Decade (And Why They’re Wrong)

In 2010, Douglas Coupland’s ‘Radical Pessimist’s Guide to the Next 10 Years’ went viral with dark predictions. Looking back, it got a lot wrongโ€”and more importantly, it shaped our collective anxiety. This article argues that such pessimistic guides are more dangerous than the future itself, because they blind us to human adaptability and the unpredictable emergence of hope. The real lesson: the act of predicting pessimistically can become a self-fulfilling narrative that defines a generation’s identity.

MATLAB Is Sinking. But It’s Not The Language’s Fault.

MATLAB’s decline isn’t about clunky syntax or developer preferenceโ€”it’s about AI coding agents decoupling language popularity from the language itself. As AI abstracts away syntax, it collapses switching costs, turning MATLAB’s ecosystem moat into its biggest vulnerability. If you use MATLAB, your future depends on your exit strategy, not their release roadmap.

Stop Hoarding Context. Why Forgetting Makes Coding Agents Smarter.

Existing coding agents hoard every tool output, quickly bloating the context window and causing hallucinations. Keen Code introduces ‘Turn Memory,’ deliberately deleting past tool results between turns and relying on cheap re-fetching. This lean approach enables long, coherent AI coding sessions without hitting context limits.

Stop Blaming the Code. Your 40-Day Integration is a People Problem.

Google’s recent claim of cutting a 40-day financial integration down to 5 days using Antigravity CLI isn’t a story about faster code. It’s a story about exposing corporate waste. Most integrations don’t take 40 days of coding; they take 2 days of coding and 38 days of organizational friction. The tool didn’t speed up the code, it just forced a brutal audit of the workflow.

The AI Didn’t Solve a Math Problem. Its Cheerleader Did.

An unreleased version of Claude just advanced a longstanding mathematical bound on the Riemann zeta function. But the real breakthrough wasn’t the math itself. It was a non-mathematician telling the AI to ‘keep going’ after 650 failed attempts. The scarce resource in AI research is no longer expertiseโ€”it’s ‘prompt endurance’.