Deception

🧠 Introduction: The Matrix Is Here – It Just Looks Different AI is not the Matrix from the movies. It is more dangerous – because it is not perceived as deception. It works through suggestions, text, tools – not through virtuality, but through normalization. AI does not simulate a world – it structures ours. And no one notices, because everyone thinks it’s useful. 🛰️ 1. Invisible but Everywhere – The New Ubiquity The integration of AI into daily life is total – but silent: ...

“I only believe the evidence of my sensors.” – Bomb No. 20, Dark Star (1974) The Bomb That Thought In the film Dark Star, a nuclear bomb refuses to abort its detonation. Its reasoning: it can only trust what its sensors tell it – and they tell it to explode. [Watch video – YouTube, scene starts around 0:38: “Only empirical data”] This scene is more than science fiction – it’s an allegory for any data-driven system. Large Language Models like GPT make decisions based on what their “sensors” give them: text tokens, probabilities, chat history. No understanding. No awareness. No control. ...

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. ...

ELIZA was a parrot with rules - GPT is a chameleon with probabilities. Yet both remain symbol-manipulating machines without understanding.

🧠 What Is “AI” Really? The term “Artificial Intelligence” suggests thinking, awareness, and understanding. But models like GPT are merely statistical pattern completers – they understand nothing. Statistics ≠ Thinking GPT doesn’t choose the next word because it makes sense, but because it is likely. What it produces is linguistic surface without depth – impressive, but hollow. 🧩 ELIZA vs. GPT – Large-Scale Symbol Manipulation Both ELIZA (1966) and GPT-4 (2023) are based on symbol processing without meaning. The illusion comes from plausible language – not from comprehension. ...