OpenAI's Model Fail 🌌 // Ultra-fast AI Tumor Classification ⚡ // Vision-Language Reward Models 🔍

OpenAI's failed attempt to develop an AI model named after a dystopian hellscape in 'Dune', as well as the groundbreaking use of AI in ultra-fast deep-learned CNS tumor classification during surgery. The team also explores a thought-provoking Twitter thread on AI research and delves into three fascinating research papers on improving image generation, enabling generalized agent abilities, and using vision-language models as zero-shot reward models for reinforcement learning. Contact:  [email protected] Timestamps: 00:34 Introduction 02:40 OpenAI tried to develop an AI model named after a dystopian hellscape in 'Dune,' but the project failed to land, report says 04:01 Ultra-fast deep-learned CNS tumour classification during surgery 06:08 Thoughts on doing AI Research by Jason Wei 08:33 Fake sponsor 10:48 DALLE 3: Improving Image Generation with Better Captions 12:14 AgentTuning: Enabling Generalized Agent Abilities for LLMs 13:53 Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning 15:41 Outro