Ideas Weave Every Narrative with AI.
We’ve spent years trying to cram as much intelligence into as few parameters as possible. But we’ve been optimizing for the wrong thing. Dense packing makes small language models fragile, causing them to shatter under aggressive compression. The counterintuitive fix? Spread the information out. Here’s why dispersion loss is the key to building smaller, cheaper models that actually survive the real world.
AMD’s MI355X delivers competitive LLM throughput at half the cost of Nvidia’s Blackwell — but the real story isn’t the silicon. It’s that agentic AI coding tools are collapsing the software switching costs that made Nvidia’s CUDA moat impenetrable. The monopoly isn’t being broken by better chips. It’s being broken by code that can optimize any chip.
A personal account of the 2000 sandstorm that killed a teacher and buried a school, leading to the discovery of the grass grid method—a low-tech, high-impact solution that outperforms billion-dollar technologies. The true innovation? A temporary scaffold that lets nature do the rest.
From rural Ohio to Lagos, the story is the same: traditional telecom monopolies have completely failed us. We are now fleeing to Starlink, paying a premium for orbital internet because local infrastructure is a joke. But in our relief, we are privatizing a public utility and handing a global monopoly to one man.
We’ve been taught to solve complexity by breaking systems down into isolated parts. But as AI and tech infrastructure explode, that strategy is failing. Enter Applied Category Theory—long dismissed as ‘abstract nonsense.’ It proves math isn’t about calculating numbers, but architecting relationships. The future of system design belongs to those who master this compositional grammar.
Most membership programs fail because they treat membership as a glorified discount card — stacking perks hoping volume overwhelms users into paying. But membership isn’t about what you give. It’s a bilateral contract: users prepay for future certainty, and the platform must continuously prove that investment worthwhile. The programs that win don’t sell perks. They sell the elimination of friction, decisions, and doubt.
We think we’ve conquered the planet, but humanity’s deepest excavations are barely a thumbtack in a bowling ball. We’ve mapped Mars better than the Earth’s mantle, proving we are a civilization living on a razor-thin film of dirt, blind to the crushing alien world right beneath our feet.
A developer cut Claude API costs 60% by converting text to images and letting the model OCR it — exposing a fundamental flaw in how AI providers price multimodal inputs. You burn more compute to pay less money, and the loophole won’t last. When it closes, prices likely rise for everyone.
The panic over AI in education isn’t about protecting academic integrity. It’s a desperate defense of outdated assessment models that were already failing. Educators use AI daily while demanding students abstain. If an AI can finish an assignment in ten seconds, we aren’t testing intelligence—we’re testing endurance. It’s time to stop banning the future and start teaching students how to steer it.
A researcher was banned from using ChatGPT during a chalk talk evaluation — the same tool they use every day in actual scientific practice. The internet called it cheating. But if AI-assisted work consistently outperforms unassisted thinking, the problem isn’t the employee’s methods. It’s the test. Institutions that ban AI in evaluations aren’t protecting integrity — they’re enforcing obsolescence.