Weekend Reflections #5 | The Speed of Doubt: When AI Outruns Trust
AI can produce useful work in minutes, but trust may not accelerate at the same rate. What happens when generation outruns verification?
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Judgment & Trust
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Weekend Reflections #3 | The Fluency Tax
AI fluency is not evenly distributed across languages. When one language consistently feels more precise, useful and fast, people may shift toward it. The Fluency Tax is the hidden cost paid when the language that feels most natural is not the one the system handles best.
Read articleWeekend Reflections #2 | The Mirror Test
I tested whether I could catch myself anthropomorphizing AI. Forty-five minutes later, I had shared more than intended. The trap is not ignorance; it is fluency.
Read articleThe Judgment Economy (Part 3/4): Credibility vs. Plausibility
This is the central tension for every enterprise. Generic AI is built for plausibility (it sounds correct). Enterprise AI must be built for credibility (it is correct, auditable, and grounded in your business data). This requires a new, essential human function: Level 3: The Trust Broker.
Read articleThe Judgment Economy (Part 1/4): Signal vs. Noise
We are drowning in information. Generative AI accelerates this, creating a flood of "Polished Emptiness" – plausible-sounding content with no substance. As AI commoditizes generation, the last true scarcity is trust. Value is shifting from creation to curation and judgment.
Read articleWe’ve Reached the Point Where Good Writing Looks Suspicious
A Personal Perspective on AI, "Polished Emptiness," and the Primacy of Thought.
Read articleFrom “Content Is King” to “Judgment Is the Crown”: Rethinking Authority in the AI Era
Content isn't king anymore. AI makes endless "good" content; trust and judgment are scarce. Your lived experience, context, and perspective are the differentiator. Use AI as leverage, not a crutch. Earn attention by solving sharp problems for real people and building credibility. Own your voice. Go.
Read articleAI Doesn't Hallucinate. It Makes Mistakes.
Calling AI errors “hallucinations” humanizes machines and inflates expectations. Language is the UI for trust; misuse becomes a shipped bug with churn, support cost, and legal risk. Treat wording like code: define terms, show process, and label errors precisely.
Read articleWhen Words Lie: The Invisible Risk in Your Product
Words shape trust. Product language isn’t neutral: it trains mental models. “Friend” now means barely acquainted; “I’m thinking...” makes users over-trust AI. Audit copy, cut unearned metaphors, and test for over-trust. Tech runs on tokens; products run on words. Clarity is a trust contract.
Read article"Ahahaha! Busted! You used an em dash—must be ChatGPT!"
Ahahaha! Busted. You used an em dash, must be ChatGPT. I learned about hyphen, en dash, and em dash only recently. I asked ChatGPT, checked Treccani and Merriam Webster. I use AI a lot, but the voice is mine. Tools help me write clearer. The thoughts and the words are still mine. Fully human. True.
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