Applied AI in 2026: everyone’s using it, almost nobody can prove it works
Models got dramatically better in 2026. Business results mostly didn’t. A practitioner’s map of the tools, frameworks, and open questions in that gap.
In the Age of AI: Domain Knowledge Is the “King”
AI hasn’t made knowledge obsolete — it’s made shallow knowledge worthless and deep domain expertise priceless. Here’s why business analysts are the most valuable people in the room right now.
Autoresearch for Fraud Scoring: What If the Model Tuned Itself Overnight?
Last time I made the case for ML over rules in warranty fraud detection. This time, I’m exploring what happens when you point Karpathy’s autoresearch at the fraud model itself — and let an LLM do the tuning overnight.
When Machines Start Catching the Cheats
ML-driven fraud analytics is reshaping how aftermarket businesses detect warranty fraud—quietly, continuously, and far more effectively than any rulebook ever could.
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