Unit 1: AI and the years ahead
Resources: AI and the years ahead
Resources (2 hrs)
- AI and Its Impacts: A Brief Introduction
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- But what is a neural network?
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- Gradient descent, how neural networks learn
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- Intro to Large Language Models
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- Visualizing the deep learning revolution
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- Why are people building AI systems?
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Optional Resources
- How Fast is AI Improving?
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- A short introduction to Machine Learning
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- Intelligence explosion: evidence and import
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- Machine Learning Glossary
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- What do experts think about the future? A survey of 2,778 AI authors.
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- What is self-supervised learning?
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- The Bitter Lesson
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- Large language models, explained with a minimum of math and jargon
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- Compute Trends Across Three Eras of Machine Learning
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- How AI Image Generators Work (Stable Diffusion / Dall-E)
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- Spinning up deep RL: Part 1
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- Spinning up deep RL: Part 2
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- Machine Learning for Humans
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- A (long) peek into reinforcement learning
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- Creating a Space Game with OpenAI Codex
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- AlphaStar: mastering the real-time strategy game StarCraft II
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- When Will AI Exceed Human Performance?
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- How Much Longer Can Computing Power Drive Artificial Intelligence Progress?
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- Generally capable agents emerge from open-ended play
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- Why and how of scaling large language models
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- Future ML Systems Will Be Qualitatively Different
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- Understanding Human Intelligence through Human Limitations
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- Centaurs and Cyborgs on the Jagged Frontier
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- The economic potential of generative AI: The next productivity frontier
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- Nvidia: The chip maker that became an AI superpower
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