Generative Modelle lernen die Muster aus den Daten und eignen sich ein tiefes Verständnis der zugrunde liegenden Strukturen an => die von ihnen generierte Ausgabe zeigt die erlernten Muster und das erlernte Wissen. Deshalb möchte ich noch mehr Anregungen bekommen, um zu verstehen, wie Gen AI die Welt sieht
Von kurious_fox
4 Comments
That’s not how AI works – and also this is the wrong sub.
Well the idea is fun, but it isn’t “how AI sees”, it is really more like “how this very specific and nothing else was trained”
If i type this prompt into my owned AI model that i have trained, you would get something greatly different…..
I plugged your question into AI and it gave a bunch of suggestions!
Great question! Here are some prompts that can help you explore how generative AI models perceive and interpret the world:
Visual Perception and Abstraction Prompts:
“Describe how you process and understand an image in stages, from raw pixels to high-level concepts.”
“Explain the differences between how a human and an AI might interpret the same photograph.”
“Walk me through the key features and patterns you detect when analyzing a complex image.”
Conceptual Understanding Prompts:
“How do you recognize and connect abstract concepts across different domains?”
“Demonstrate the process of how you understand context and nuance in language.”
“Explain how you build mental representations of complex ideas.”
Comparative Reasoning Prompts:
“Compare and contrast how different types of AI models (vision, language, multimodal) construct their understanding of the world.”
“Describe how machine learning models create ‘knowledge representations’ that differ from human cognition.”
“Explain how training data shapes an AI’s worldview and potential biases.”
Pattern Recognition Prompts:
“Show me how you identify underlying patterns in a dataset of [your chosen domain].”
“Demonstrate how you distinguish between meaningful patterns and random noise.”
“Explain the process of feature extraction and how it contributes to understanding.”
Complexity and Emergence Prompts:
“How do simple learning rules in AI lead to complex, emergent behaviors?”
“Describe how generative models create novel outputs that weren’t explicitly in the training data.”
“Explain the concept of ‘latent space’ and how it represents knowledge.”
These prompts are designed to probe the inner workings of AI perception, helping you understand how generative models construct their understanding through data, patterns, and computational processes.
Would you like me to elaborate on any of these approaches or dive deeper into a specific aspect of AI perception?
I think uses ai text suggestion so it sees the world based primarily on facts and it throws them at you using pattern recognition and the ability to cross reference multiple patterns at once to always have the perfect word based on the context it’s in.
It doesn’t actually see the world as far as anyone can prove. But uhh, we can’t prove that our brains aren’t fundamentally text suggestion either. Emergence is beautiful and common. It’s a lovely world out there, kiss your husband or wife.