Definition
Citation
How often your specific URL is referenced inside an AI answer — a stronger signal than a mention alone.
From the episode “Tiny Brands Are Outranking Billion-Dollar Companies. Here Is the Hack.”Hear it on the podcast1 episode
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Related terms in AI Fundamentals
Capability BoundaryThe outer limit of what a person or team can produce at a given level of staffing and skill. AI extends this boundary — enabling smaller teams to produce work previously requiring larger ones. Section operates with 32 people doing the work of 45. For founders, this changes the build vs. hire calculation: always audit your AI-extended capability before adding headcount.Capability overhangThe gap between what frontier models can already do and what they're actually being used for.ChatbotA program that holds a conversation with people through text or voice.Chronological Prediction TrainingLightningRod AI's core training method: given all data up to timestamp A in a corpus, predict what will happen at timestamp B. The model is trained iteratively across an entire dataset of chronologically ordered real-world information. The 'label' is simply what actually happened next - no human annotation required. This approach forces the AI to learn causal relationships rather than surface patterns: to get good at predicting timestamp B, the model must understand what factors in timestamp A's data actually drive outcomes. Ben Turtle calls this the mechanism humans use to build world models - we move through time, predict what comes next, feel surprise when we're wrong, and update our beliefs.Citation-Based RetrievalReturning answers tied to specific document sources.Closed sourceProprietary software whose code is kept private, so the public can't see, modify, or reuse it.Computer visionThe branch of AI that lets computers interpret images and video, like recognizing objects, faces, or text.ConfabulationA human psychology term for the way memory reconstructs rather than records — people create plausible narratives around incomplete memories with no intent to deceive. Geoff draws the parallel to AI hallucinations: both are a system constructing a coherent story from incomplete information. The observation cuts both ways: AI hallucinations aren't as alien as they seem (human memory does the same thing), and human testimony is far less reliable than assumed (well-established in criminal justice research). Working closely with AI has become a useful mirror on human cognition.