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

Agentic AI forms the next stage of the internet. The Agentic Web brings many new opportunities, but also major risks for users and companies. ChatGPT, Gemini, Claude: generative AI has shaped recent years. Yet as impressive as these systems are: at their core, they remain reactive tools. They respond to inputs. The next stage

The newly founded European startup AMI Labs, which focuses on developing World Models, has just raised $1.03 billion. With a pre-money valuation of $3.5 billion, the company joins the ranks of the highest-funded AI projects in Europe.The main goal of AMI Labs fundamentally differs from typical startups for applied AI. The team conducts basic research