Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Twitter: https://twitter.com/MLStreetTalk In this eye-opening interview, we dive deep into the world of Open Assistant, an ambitious project aiming to create a truly open-source AI language model. Our guest reveals the behind-the-scenes process of developing this revolutionary technology, addressing the critical role of community involvement and the importance of a diverse dataset. They also tackle the controversial topic of AI ethics, shedding light on the current state of the field and the necessity for public accountability. Join us as we explore the inner workings of fine-tuned language models like LAMA and discuss how human data plays a crucial role in the development of intelligent AI systems. Our guest shares their experience of working on the Open Assistant project and the challenges they faced in creating a platform that allows people to contribute to the data set. We also delve into the issue of privacy, discussing the terms of service governing data usage in the project, and how the team is working to improve transparency and user control over their data. The conversation takes a critical turn as our guest addresses the criticisms and ethical considerations surrounding the evaluation and user preference study of their chatbot, comparing it to chat GPT. Finally, we explore the future of the ML News channel and the Open Assistant project, touching on the potential impact of AI on society and the need for ethical guidelines and principles to ensure the overall welfare of humanity. Don't miss this insightful and thought-provoking conversation that will change the way you view AI and its role in our world! https://open-assistant.io/ Dr. Yannic Kilcher: https://www.youtube.com/@YannicKilcher Dr. Tim Scarfe CTO XRAI: http://xrai.com Table of Contents: Discussing Open Assistant and Fine-tuning Language Models [00:00:00] Open Assistant and Data Collection [00:16:00] Data Collection and User Preferences [00:32:00] Addressing Criticisms and Ethical Considerations [00:38:00] Ethical Guidelines and Open AI Research [00:48:00]