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

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Manage episode 493171478 series 3676184
Content provided by Tejas Kumar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tejas Kumar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

88 episodes

Artwork
iconShare
 
Manage episode 493171478 series 3676184
Content provided by Tejas Kumar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tejas Kumar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

88 episodes

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