Worldcoin from Sam Altman 🪙 // ChatGPT for Android 📱 // Retentive Network for LLMs 🧠

The launch of Worldcoin at the intersection of AI, identity, and finance, to the Android release of OpenAI's ChatGPT, this episode explores the cutting-edge of AI-powered conversational tools. The paper "Evaluating the Ripple Effects of Knowledge Editing in Language Models" proposes a new evaluation benchmark that could have important implications for improving the accuracy of language models. Finally, the Retentive Network, a new architecture proposed as a successor to the Transformer architecture for large language models, achieves favorable scaling results, parallel training, low-cost deployment, and efficient inference. Contact:  [email protected] Timestamps: 00:34 Introduction 01:45 OpenAI CEO Sam Altman Launches Worldcoin: A Bold Crypto Experiment At The Intersection Of AI, Identity And Finance 03:13 ChatGPT for Android launches next week 04:52 Michaël Benesty on Speeding up LLAMA v2 inference 06:30 Fake sponsor 08:19 Evaluating the Ripple Effects of Knowledge Editing in Language Models 09:50 ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats 11:28 Retentive Network: A Successor to Transformer for Large Language Models 13:15 Outro