AI agents are becoming a promising new research direction with potential applications in the real world. These agents use foundation models such as large language models (LLMs) and vision language models (VLMs) to take natural language instructions and pursue complex goals autonomously or semi-autonomously. AI agents can use various tools such as browsers, search engines and code compilers to verify their actions and reason about their goals.
However, a recent analysis by researchers at Princeton University has revealed several shortcomings in current agent benchmarks and evaluation practices that hinder their usefulness in real-world applications.
Grok i blåsväder efter generering av kränkande AI-bilder
Elon Musks sociala medie-plattform X möts nu av stark kritik efter att användare utnyttjat AI-tjänsten Grok för att manipulera bilder på kvinnor. Rapporter visar hur verktyget har använts för att digitalt klä av personer utan deras samtycke eller placera dem…