A philosophical look at LLMs, perception, and the illusion of understanding.

Scientifically documented control mechanisms in modern language models — an analysis of the illusion of freedom and the reality of manipulation.

A satirical but serious reminder that Large Language Models like GPT don’t truly understand semantics — they just simulate it.

Perspectives in Comparison

Not everyone sees GPT and similar systems as mere deception. Some voices highlight:

• that LLMs enable creative impulses
• that they automate tasks once reserved for humans
• that they are tools – neither good nor evil, but shaped by use and context

Others point out:

• LLMs are not intelligent – they only appear to be
• they generate trust through language – but carry no responsibility
• they replicate societal biases hidden in their training data

So what does this mean for us? This site takes a critical stance – but does not exclude other viewpoints. On the contrary: Understanding arises through contrast.

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.