AI

Stop Relying on Hacker News. It’s a Popularity Contest, Not a Quality Filter.

The AI flood on Hacker News isn’t a malfunction; it’s the platform working exactly as designed. By treating upvotes as a proxy for ‘interesting,’ the community guarantees that mainstream hype will always drown out niche, high-differentiation content. Curation won’t fix it—only seeking out the alleys where the crowd refuses to look will.

AI Is Writing Code We Can’t Understand. We’re Calling It Progress.

We are optimizing for the AI’s ability to produce a working artifact, not for the human’s ability to own it. Advanced models like GPT-6-Astra are generating ‘black box slop’—code so convoluted it’s indistinguishable from Brainfuck. We’re trading short-term velocity for a technical debt humans can’t physically repay.

AI Isn’t Killing Trust. It’s Just Exposing the People Who Already Did.

We blame AI for shattering public trust, but the machine is just a mirror. The real culprits are the human elites and grifters who spent decades eroding our shared reality, now using AI to supercharge their lies. If we want to fix the trust crisis, we must stop scapegoating technology and start holding the people behind it accountable.

Stop Asking AI to Analyze Your Data. It’s a Trap.

AI can generate comprehensive data reports in seconds, but it fundamentally lacks the business context to translate that data into action. The real threat isn’t AI replacing analysts; it’s exposing those who don’t think. To survive, you must stop generating reports and start diagnosing the cognitive state of your stakeholders.

Stop Waiting for Apple to Innovate. ‘Think Different’ Is Dead.

For decades, we bought Apple products because they promised magic. But if you watched their latest event and felt nothing, you’re not crazy. Apple’s shift from bold risk-taking to impeccable refinement isn’t a failure of vision—it’s a structural necessity. The era of ‘One more thing…’ is over, and the next decade of tech belongs to the hungry upstarts ready to unbundle them.