Reka AI Multimodal 🌟 // DeepMind Scaling up Robotics 🤖 // RepE for AI Safety 🔍

Open X-Embodiment dataset and RT-1-X model checkpoint for general-purpose robotics learning, as well as the new multimodal AI assistant, Yasa-1. We also delve into the Representation Engineering (RepE) approach to improving transparency and safety in AI systems, and the PIT framework for enabling language models to implicitly learn self-improvement from data. Contact:  [email protected] Timestamps: 00:34 Introduction 01:53 Scaling up learning across many different robot types 03:38 Announcing our Multimodal AI Assistant at Reka 05:30 Evaluating LLM Outputs 06:52 Fake sponsor 08:59 Representation Engineering: A Top-Down Approach to AI Transparency 10:35 AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ 12:10 Enable Language Models to Implicitly Learn Self-Improvement From Data 13:53 Outro