LLMs are stuck in a groupthink groove. This startup is trying to get them out.

Large language models (AI systems trained on text to generate human-like responses) tend to give repetitive, predictable answers to open-ended questions, all converging on similar responses rather than showing creativity. A startup called Springboards built an LLM called Flint that was trained to produce a wider variety of responses to these types of questions, demonstrating that models can be made less predictable and more diverse in their outputs.