The Falsification Gap: Why Slow-to-Test Work Is Easy to Fake
The falsification gap is the delay between when work is produced and when reality can prove it wrong. The wider the gap, the easier AI can imitate the work c...
Knowledge topic
AI Strategy
7 published knowledge pages on AI Strategy.
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AI Strategy -
AI Strategy The AI Feedback Loop Moat
The strongest AI moat for small teams is not a static asset. It is a fast loop: users create behavior and feedback, AI helps interpret it, and the product im...
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AI Strategy The Taste Treadmill: Why Better AI Models Make Old Ones Feel Worse
Reference Points Move Faster Than ModelsAfter a few days with a significantly better AI model, your internal standard recalibrates. The older model does not ...
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AI Strategy Measuring AI Model Quality by Intervention Frequency
Count the Interruptions, Not the CapabilitiesWhen comparing AI models, the instinct is to ask what each model can do. A more revealing question is how often ...
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AI Strategy Pairwise Preference Evaluation for AI Models
Preference Over ScoringTraditional AI benchmarks test whether a model's output matches a fixed correct answer. Pairwise preference evaluation takes a differe...
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AI Strategy AI as Curiosity Amplifier: Why the Real Shift Isn't Automation
Beyond the Tireless InternMost AI framing treats the technology as a productivity tool: it writes the email, summarizes the meeting, cleans up the spreadshee...
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AI Strategy Accidental Friction vs. Protective Friction: What AI Should and Shouldn't Remove
Two Kinds of FrictionNot all friction is the same. Understanding the difference is essential to using AI effectively rather than destructively. Accidental F...