Human-Machine-Cognition
/0 Comments/by Jörg LehmannHumans search for themselves in non-human creatures and inanimate artefacts. Apes, the “next of kin”, or dogs, the “most faithful companions” are good examples of the former, robots are good examples of the latter: A human-like design of the robots’ bodies and a humanising linguistic framing of their capabilities supports, according to a common hypothesis, […]
On the Tyranny of the Majority
/0 Comments/by Jörg LehmannLarge Language Models (LLMs) predict the statistically most probable word when they generate texts. The fact that the predicted word or sentence is the most probable does on the one hand not mean that it is true or false. On the other hand, the prediction of probabilities leads to a favouring of the majority opinion. […]
Human-Machine-Creativity
/0 Comments/by Jörg LehmannLanguage models that generate texts on the basis of probabilities are best approached with solid scepticism with regard to factual accuracy, and with a little humour. Jack Krawczyk, who is responsible for the development of the chatbot “Bard” at Google, openly admitted in March 2023: “Bard and ChatGPT are large language models, not knowledge models. […]