The OpenWorldLib Framework provides orientation on how to define World Models and what they must be able to do.In AI, a concept is increasingly coming into the spotlight: World Models. Although there is great progress in this area, there has been a lack of a clear, unified definition and a standardized technical foundation. To better

The increasing energy demand of AI data centers threatens to undermine existing climate goals, as there is an increasing reliance on gas as an energy source. Are there still potential solutions? AI Race – Is Humanity Running to Its Doom? Large language models like GPT, Gemini, or Llama are becoming larger, more powerful, and

AI systems might be performing much worse at image recognition than benchmark results suggest. The reason is the so-called Mirage Effect.Multimodal AI systems that can process text and images simultaneously are now almost indispensable in our daily lives. Many people use AI-supported applications every day to clarify health questions, decipher complex diagrams, or have images

MIT has presented a new approach that can measure the uncertainty of LLMs more reliably. AI language models like ChatGPT often appear with great conviction, even when they are spouting complete nonsense. This phenomenon of hallucinations is a major problem if we want to rely on their answers. Previous methods to measure an AI's