AI & Machine Learning

The AI Skill You Already Have (But Keep Ignoring)

If you can write acceptance criteria for a feature, you can write an AI routing policy. The cognitive muscle is identical: break down desired behavior into clear, conditional rules. The real barrier isn’t technical—it’s the courage to admit you already have the tools. This article reframes AI governance as a familiar skill transfer, empowering product managers and developers to take ownership without waiting for data scientists.

I Taught an AI to Write Like Stefan Zweig. What I Discovered Will Change How You See Creativity.

I taught Claude to mimic Stefan Zweig’s style. The result was beautiful, eerie, and deeply unsettling. But it revealed a crucial truth: AI can replicate the surface of creativity, but not the lived experience that gives it meaning. The more perfectly machines imitate human art, the clearer it becomes what we actually are—and what they can never be.

I Asked an AI to Judge My Hacker News Comments. The Real Lesson Wasn’t About Me.

A developer built a web app using Fable 5 to analyze HN comment histories. While the model delivered eerily accurate personality assessments, the creator discovered trivial coding errors in the app itself—cache bugs, outdated APIs—proving that even top-tier LLMs need human review. The real lesson isn’t about vanity; it’s about the gap between AI’s perceived omniscience and its practical fallibility.

OpenAI Is Bluffing the UK – And It’s Working

OpenAI‘s no-show at a key UK site isn’t incompetence – it’s a calculated power play to extract better terms from the British government. While media frames it as a sign of waning interest, the truth is that OpenAI is leveraging ambiguity as a negotiation tactic, turning apparent failure into strategic leverage. The UK must decide whether to negotiate from strength or fear.

I Built an AI to Find Design Patterns Better Than Gang of Four. Here’s What Happened.

A developer built an AI pipeline that filters Arxiv papers and distills recurring design patterns into a living ethos document. Instead of writing code, the AI curates wisdom—saving weeks of research and guiding software architecture decisions. The future of design patterns isn’t memorization; it’s machine-curated discovery.

Ford Thought AI Could Do the Job. They Were Wrong.

Ford rehired human engineers after its AI quality checks failed, revealing that automation’s hidden costs — false positives, false negatives, constant debugging — can outweigh savings. The twist: this isn’t a rejection of AI, but a recalibration that puts human judgment back on top. A powerful reminder that expertise still matters more than efficiency alone.

Why Ukraine’s Energy Strikes Are Both Brilliant and Terrifying

Ukraine’s unprecedented strikes on Russian energy infrastructure are more than a tactical shift — they are a strategic signal that no target is safe. While degrading Russia’s war economy, these attacks risk provoking a dangerous escalation that could expand the conflict. This analysis reveals the hidden calculus behind the strikes and why the world should pay attention.