ChatGPT: How to Train an LLM, Ethics, and the future of AI

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.