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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. ...

May 4, 2025 – Alexander Renz Translations: DE GPT and similar models simulate comprehension. They imitate conversations, emotions, reasoning. But in reality, they are statistical probability models, trained on massive text corpora – without awareness, world knowledge, or intent. What Does GPT Actually Do? GPT (Generative Pretrained Transformer) is not a thinking system, but a language prediction model. It calculates which token (word fragment) is most likely to come next – based on the context of previous tokens. ...

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. ...

Transformer models don’t “think” – they optimize probability. Their output is impressive, but it’s entirely non-conceptual. ❌ Why Transformers Don’t Think Despite the hype, Transformer-based models (like GPT) lack fundamental characteristics of thinking systems: No real-world grounding No understanding of causality No intentions or goals No model of self or others No abstraction or symbol grounding No mental time travel (memory/planning) They are statistical mirrors, not cognitive agents. A Transformer is not a mind. It’s a sophisticated parrot with vast echo chambers. ...

I don’t want to convince anyone of something they don’t see themselves – that’s pointless. But I do believe it’s valuable to have an informed opinion. And for that, we need access to alternative perspectives, especially when marketing hype dominates the narrative. Here are key voices from leading AI researchers who critically examine the label “Artificial Intelligence” and the risks it implies: 🧠 Emily M. Bender: “Stochastic Parrots” – Language Models Without Understanding Emily Bender coined the term “Stochastic Parrots” to describe how models like ChatGPT generate statistically plausible text without any real understanding. 👉 ai.northeastern.edu 👉 The Student Life ...

Why this site? Why “elizaonsteroids.org”? Because we live in a world where machines are marketed as “intelligent” — even though they cannot think or understand. Because language models like GPT speak with human authority — yet are not human. Because there’s a difference between statistics and consciousness, between probability and responsibility. This project aims to reveal what remains hidden beneath the surface of AI systems: The structural deception embedded in language, interfaces, and expectations. ...