AI Unfiltered:
The AI Reality Check You Didn't Know You Needed
Between the venture capitalists promising revolution and the doomsayers predicting apocalypse, nobody's actually talking about what AI is, what it does well, and what it spectacularly fails at. This series fills that gap with equal parts expertise and irreverence. We examine the intelligence myth, the detector scam, prompt engineering's dirty secret, the real job market story, corporate ethics theater, the content slop explosion, and how to spot hype cycles before they hit your wallet. It's fact-based analysis that refuses to take itself too seriously—because the best way to understand AI might just be to laugh at how we've chosen to deploy it.
The Intelligence Illusion: Is Your AI Assistant Just a Very Expensive Autocomplete?
The artificial intelligence we have today is neither artificial nor intelligent—it’s a powerful tool for statistical pattern matching that’s been remarkably overhyped and frequently misunderstood.
Kyle Geisler
The Great AI Detector Scam: Why “AI-Proof” Tools Are About as Reliable as a Weather App
The real intelligence test isn’t building better AI detectors—it’s designing learning environments that cultivate genuine understanding alongside responsible AI literacy.
Kyle Geisler
Prompt Engineering: The Art of Talking to Your Very Literal, Very Expensive Digital Intern
We’re essentially learning to communicate with the world’s most expensive interns, who take everything literally, forget context every five minutes, and occasionally hallucinate facts.
Kyle Geisler
AI Job Apocalypse: Separating Silicon Valley Exuberance and Pundit Fear-Mongering from Economic Reality
Turn on any business news channel and you’ll hear cautionary reports about how AI will eliminate 300 million jobs globally, followed immediately by equally confident predictions that AI will create 78 million new positions.The truth is somewhere between “nothing will change” and “Skynet is hiring.”
Kyle Geisler