A "deep" feature is built by applying operations to these base attributes across different dimensions, such as time, frequency, or relationship to "normalcy."
Evaluate if it is "almost human" but slightly off, which triggers the uncanny valley effect. 🌪️ Step 3: Stack to Max Depth Strange
How do you want to go? (Simple contrast vs. complex psychological layering?) A "deep" feature is built by applying operations
"It is an AI-generated portrait where the technical fidelity is high, but the 'strangeness' stems from a societal bias hidden in its training data". 💡 Example Deep Feature: "The Glitch in the Familiar" complex psychological layering
Start with the subject "Strange" as your core object. Identify its "shallow" attributes—the immediate, literal qualities. Distorted, uncanny, or out-of-place. Emotional: Unsettling, curious, or eerie. 🧬 Step 2: Apply Feature Primitives
If you were building this feature for an AI model or a narrative, you might define it as:
For a visual example of how 'deep features' are identified in complex subjects like human facial structures, watch this explanation: Stop Drawing Noses Tony Swaby YouTube• Apr 23, 2026 If you want to refine this further, tell me: