ChatGPT: How to Train an LLM, Ethics, and the future of AI
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Description
Links - Codecrafters (sponsor): https://tej.as/codecrafters - SquiggleConf: https://squiggleconf.com/ - ChatGPT: https://chatgpt.com Summary In this groundbreaking episode of the ConTejas Code Podcast, we engage in a deep conversation with ChatGPT, exploring the intricacies of AI, its ethical implications, and the future of human-computer interaction. The discussion covers the training process of AI models, the importance of ethical data sourcing, and the challenges of transparency in AI development. The episode also dives into philosophical dilemmas like the trolley problem, the potential for AI to replace human jobs, and the unique qualities that make us human. Throughout the conversation, the complexities of latent space and voice modeling are examined, culminating in a reflection on the irreplaceable aspects of human experience. Chapters 00:00:00 Intro 00:07:39 How to Build an LLM 00:10:04 Copyrights and Ethics 00:17:13 Is OpenAI Actually Open? 00:37:10 An Open AI Supervision Committee 00:45:21 Training an LLM 00:51:11 Optimizing Hyperparameters for Machine Learning 00:59:44 What did Ilya see? 01:00:14 Superintelligence Threats to Humanity 01:07:25 The Trolley Problem 01:13:24 AI on Trump vs. Kamala 01:19:47 What Questions Would ChatGPT Like to Answer? 01:22:04 The Future of AI: Dystopian or Hopeful? 01:28:15 Latent Space Explained 01:41:28 AI Consciousness 01:46:03 Conclusion Hosted on Acast. See acast.com/privacy for more information.
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