Defining the finish line of artificial minds
The frozen history of artificial intelligence
Under the hood of modern language models
The deep divide between human and machine minds
007skaty The difference between following language rules and actually understanding what words mean.
007skaty Large language models must train on trillions of internet words to mimic speech that children learn from real-world conversations.
Approximately how many words does a human child hear before learning to speak fluently?
Compared to human children, how much training data do modern Large Language Models require?
007skaty AI lacks the physical embodiment needed to understand sensory concepts like texture.
What term describes the theory that true intelligence requires physical interaction with the environment through a body?
Why does a lack of physical embodiment make it difficult for AI to have common sense?
Brain efficiency: The human brain runs on about 20 watts of power—roughly the same as a dim lightbulb—while giant AI datacenters require megawatts.
What is the main distinction John Searle's 'Chinese Room' experiment makes about computer programs?
The inherent power of a mind to represent or be about things, independent of any external interpretation. Roboticist Matthias Scheutz highlighted this concept in July 2026 to explain why silicon systems lack genuine caring.
007skaty AI Word Calculator
It's just matrix math predicting the very next word—the very next word, oh yeah!
What useful analogy do experts suggest using to describe how a language model processes text?
Why is it dangerous to treat a modern Large Language Model as an infallible oracle?