How to Train an LLM, Ethics, and the Future of AI

Dive into a comprehensive podcast episode exploring the intricacies of AI, ethical considerations, and the future of human-computer interaction. Engage with in-depth discussions on building and training Large Language Models (LLMs), copyright issues, and the transparency of AI development. Explore philosophical dilemmas like the trolley problem and potential job displacement by AI. Examine complex concepts such as latent space and voice modeling, while reflecting on the unique qualities of human experience. Gain insights into optimizing hyperparameters for machine learning, potential superintelligence threats, and the future trajectory of AI development. Conclude with thought-provoking reflections on AI consciousness and its implications for society.

Intro
How to Build an LLM
Copyrights and Ethics
Is OpenAI Actually Open?
An Open AI Supervision Committee
Training an LLM
Optimizing Hyperparameters for Machine Learning
What did Ilya see?
Superintelligence Threats to Humanity
The Trolley Problem
AI on Trump vs. Kamala
What Questions Would ChatGPT Like to Answer?
The Future of AI: Dystopian or Hopeful?
Latent Space Explained
AI Consciousness
Conclusion