A fundamental, honest look at Large Language Models: What they really are, what they can do, where their limits lie – and why that’s all completely okay.
AI Soberly Considered: Why Large Language Models Are Brilliant Tools – But Not Magic
Posts for: #GPT
‘The Illusion of Free Input: Controlled User Steering in Transformer Models’
Scientifically documented control mechanisms in modern language models — an analysis of the illusion of freedom and the reality of manipulation.
Apples, Pears, and AI – When GPT Doesn’t Know the Difference
A satirical but serious reminder that Large Language Models like GPT don’t truly understand semantics — they just simulate it.
‘ELIZA on steroids: Why GPT is not intelligence’
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’’s Rules vs. GPT’’s Weights: The Same Symbol Manipulation, Just Bigger’
ELIZA was a parrot with rules – GPT is a chameleon with probabilities. Yet both are symbolic manipulators without true understanding.