Combatting Misinformation with Digital Marks 🛡️ // Stable Code 3B 💻 // TinyML Potential 🌱

OpenAI's plan to combat election misinformation, Stable Code 3B's promise to revolutionize coding, and the potential uses of Tiny Machine Learning are all discussed. Additionally, the paper on the Unreasonable Effectiveness of Easy Training Data for Hard Tasks challenges previous assumptions about language models. Overall, this episode provides valuable insights into the latest developments in AI and technology. Contact:  [email protected] Timestamps: 00:34 Introduction 01:34 Here’s OpenAI’s big plan to combat election misinformation 02:46 Stable Code 3B: Coding on the Edge 04:29 What TinyML is 06:00 Fake sponsor 07:57 Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements 09:38 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks 11:09 How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs 12:55 Outro