Ideas Weave Every Narrative with AI.
Let me tell you a story about the most humiliating week of my professional life. I held one of the most advanced AI models on the planet in my hands—and I used it to build a Rube Goldberg machine that…
Read More →/feed/json/wp-json/wp/v2/posts/sitemap.xml/feed/Building your own project management tool on Cloudflare isn’t about task tracking—it’s about assembling composable primitives into a custom control plane for AI agents. The real power is distribution: shipping as a binary vs. SaaS determines who controls AI fleets. Stop renting your workflow. Build it.
Google’s strategy of not needing the best LLM sounds wise, but it’s a dangerous illusion. The frontier crown isn’t just prestige—it’s pricing power, talent magnet, and margin control. Without it, Google risks becoming a commoditized distribution pipe for someone else’s AI monopoly.
Grindr’s CEO claims AI replaced 200 engineers. The truth? The metric is code shipped, not value created. This isn’t about AI’s power—it’s a narrative trick to inflate valuation. For engineers, it’s a warning: your company will measure you by what’s easy, not what’s right.
A satirical post about leaving OpenAI to build Jurassic Park exposes the narrative machinery of tech ambition. The joke isn’t mocking AI—it’s mocking the unexamined leap from ‘we have powerful technology’ to ‘we should build god-scale things.’ Jurassic Park is more honest than most AI pitches because it names a concrete deliverable while AGI remains an undefined promise.
The VIA C3 backdoor proved that closed-source CPUs can hide undocumented instructions that bypass all software security. With modern chips growing more complex and opaque, this problem is more relevant than ever. The only real solution is open silicon — but we’re not ready to make that trade-off yet.
Meta’s CTO told employees to use AI productivity gains to do more work. That’s not a bug—it’s a feature of a system where executive incentives are misaligned. The real fight isn’t AI vs. jobs; it’s about who gets the productivity dividend. This article explains why AI won’t save you time, only your boss’s bottom line.
The engineers who succeed in AI aren’t the ones who memorize every model architecture — they’re the ones who understand the full engineering loop: data, evaluation, deployment, and iteration. This article explains why treating AI as a systems problem, not a math problem, is the real path to breaking into the field.
When an AI system causes harm, our instinct is to sue the developers or the deployers. But this ignores the true root cause of autonomous failures: the training data. If we don’t hold data providers accountable, innocent users and builders will face ruinous liability for a machine’s unpredictable, emergent behavior.
The AI boom wasn’t about technology—it was about cheap debt. Now that the bond market has tightened, the real bottleneck is cost of capital, not compute. This article explains why the party is over and what it means for investors, workers, and policymakers.
A single sentence on Hacker News—”uh if i get 10 people i leak the os”—bypassed months of product development. It reveals a dark truth about tech validation: we don’t buy products, we buy access to mysteries. The OS doesn’t matter; the engagement loop is the real invention.