A common criticism of large language models is that they are not grounded in reality and can make things up. This poses dangers, such as mistakes in s

DreamGPT turns a weakness of large language models into a strength

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2023-05-22 08:00:05

A common criticism of large language models is that they are not grounded in reality and can make things up. This poses dangers, such as mistakes in searches or news stories that go unnoticed because the language model is confident in its output.

The open-source software DreamGPT aims to make this phenomenon a feature by deliberately creating and amplifying hallucinations for lateral thinking and innovative ideas. Instead of solving specific problems, DreamGPT is designed to explore as many options as possible, generating new ways of thinking and driving them forward in a self-reinforcing process.

The principle of DreamGPT is simple: First, the program randomly selects from a set of predefined concepts, i.e., individual words such as metal, hat, song, and so on. Then it generates a set of ideas from these concepts by giving them a title and a description. More than 750 of these concepts are stored in the program and can be expanded or specified.

The program then evaluates the generated ideas according to factors such as “novelty” or “usefulness”, mixes them together, and selects the most original variants as the starting point for new ideas. These range from business models to game concepts.

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