Artificial Intelligence from a Psychologist’s Point of View

Researchers test cognitive abilities of the language model GPT-3. Marcel Binz ( left ) and Eric Schulz. MPI for Biological Cybernetics/ Jörg Abendroth - Researchers at the Max Planck Institute for Biological Cybernetics in Tübingen have examined the general intelligence of the language model GPT-3, a powerful AI tool. Using psychological tests, they studied competencies such as causal reasoning and deliberation, and compared the results with the abilities of humans. Their findings paint a heterogeneous picture: while GPT-3 can keep up with humans in some areas, it falls behind in others, probably due to a lack of interaction with the real world. Neural networks can learn to respond to input given in natural language and can themselves generate a wide variety of texts. Currently, the probably most powerful of those networks is GPT-3, a language model presented to the public in 2020 by the AI research company OpenAI.