Transparency

What actually happens to your prompt before an AI system responds? The answer: a lot. And much of it remains intentionally opaque. This post presents scientifically documented control mechanisms by which transformer-based models like GPT are steered – layer by layer, from input to output. All techniques are documented, reproducible, and actively used in production systems. 1. Control Begins Before the Model: Input Filtering Even before the model responds, the input text can be intercepted and replaced – for example, through a “toxicity check”: ...

The term “AI” creates an image for consumers of thinking, understanding, even consciousness. LLMs like GPT meet none of these criteria – yet they are still marketed as “intelligent.” 🔍 Core Problems: Semantic deception: The term “intelligence” suggests human cognition, while LLMs merely analyze large amounts of text statistically. They simulate language without understanding meanings or pursuing goals. The model has no real-world knowledge but instead makes predictions based on past training data. ...