🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🔦 @NeurIPS2024 spotlight paper we’re presenting today. Making AI systems more agentic is a hot research topic. But powerful agents bring worries about misalignment and loss of control. Can we measure how agentic an AI system is? 🧵

One thing that I really like about this is that my content is much less determined by who I follow, than by which posts I like. This means I can express my approval for a post, without worrying that similar content will now flood my feed.

In real-life, agents with different subjective beliefs interact in a shared objective reality. They have higher-order beliefs about each other's beliefs and goals, which is required for phenomena involving theory-of-mind, like deception Our paper formalises this in causal models

Causality is about predicting how interventions affect outcomes. Can we use causality to predict how environment changes affect agent behavior? We explore this idea in a new paper

Someone needs to use this as the basis of an unsupervised environment design algorithm to give AI designers direct control over agent behavior