AI Hype

The AI Metric Nobody’s Talking About That Exposes Plausible Garbage

Most enterprise AI evaluation is brokenβ€”metrics like BLEU and LLM-as-a-judge are easily fooled by plausible-sounding garbage. Round-Trip Correctness forces AI to prove it actually understands by reversing its output back into the input. If it can’t reverse, it didn’t understand. This is the metric that exposes the illusion.

Stop Asking “Is This AI?” β€” You’re Missing the Point

The ‘Is this AI?’ question has become a hollow ritual β€” a defense mechanism that lets us avoid the uncomfortable truth that if we can’t tell the difference, the label shouldn’t matter. But it matters intensely, because the indistinguishability threatens our belief in human creativity’s uniqueness. The exhaustion isn’t from AI; it’s from the endless authentication game we play on ourselves.

Stop Celebrating the Datacenter Pledge. Big Tech Just Played You.

Nearly 200 tech firms just signed a voluntary pledge to “protect” you from the costs of their own datacenters. But a pledge from the arsonist promising to protect you from the fire isn’t a safety guaranteeβ€”it’s an alibi. This isn’t a win for ratepayers; it’s a preemptive strike by Big Tech to dodge real regulation and ensure you foot the bill.

AI Is a Mass Psychosis. And I Can Prove It.

The tech industry is experiencing a collective delusion: widespread AI euphoria masking the reality that software is increasingly broken. This isn’t a technology gap β€” it’s an incentive crisis. Nobody owns anything, complexity compounds endlessly, and AI has become the perfect escape valve, giving us permission to avoid the painful, unglamorous work of actually fixing our systems. The bottleneck was never technology. It was always courage.

You’re Not as Smart as AI Makes You Feel

AI doesn’t just give you answers β€” it gives you the feeling of understanding without the substance. While experts become more humble using AI, novices fall into a competence trap: mistaking the tool’s output for their own knowledge. The real danger isn’t job replacement. It’s that AI is quietly convincing you you’re smarter than you actually are.

The AI Bubble Isn’t a Software Problem β€” It’s a $1 Trillion Subprime Mortgage Crisis Hiding in Plain Sight

The AI datacenter boom is a $1 trillion debt bomb disguised as progress. Like the subprime mortgage crisis, it’s built on speculative revenue, fee-driven euphoria, and physical assets that can’t be easily repurposed. When demand fails to meet capacity, the collapse will ripple through tech stocks, construction, and local economies. This isn’t innovation β€” it’s a ghost town of servers waiting to happen.

The ‘Second Pair of Eyes’ AI Promised Your Doctor Is a Lie. Here’s What’s Actually Happening.

An AI tool promises to be your doctor’s ‘second pair of eyes,’ but the study behind it had a sample size so small it couldn’t prove patients benefited β€” or detect when the AI caused harm. The real danger isn’t flawed AI. It’s AI that feels reliable enough to stop questioning, creating automation bias in clinicians who quietly stop double-checking. Hope isn’t evidence.