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.
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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

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