Week 2
IN THIS LESSON
This week, we will be doing a deep dive into AI. How an AI is built; why evolutionary theory helps you understand it; and some philosophical questions it raises.
Resources
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This section’s science content includes a couple of pieces:
The transformative paper from 2017 that allowed for the development of modern LLMs (large language models like chatGPT). Linked here.
For this extremely technical paper, you will need to rely on external sources (wikipedia, chatGPT, etc.) to understand what it’s about.
I do not expect you to fully understand that details of this manuscript.
I DO expect you to have a broad idea of what the problem was that this research provided a solution for, at a very general level, specifically as it applies to building LLMs and other AI models.
Check out this very big-picture overview of how an AI algorithm can be built.
Also, please watch the follow-up incredibly short video that mentions neural networks.
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Please continue your reading of Oryx and Crake by Margaret Atwood!
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Deepfake Tiktoks
M3GAN (Movie)
Companion (Movie)
Black Mirror “White Christmas” ep.