Dwarkesh Podcast Sholto Douglas & Trenton Bricken - How to Build & Understand GPT-7's Mind
523 snips
Mar 28, 2024 
Join AI researchers Sholto Douglas, known for his contributions to large language models, and Trenton Bricken from Anthropic, as they dive deep into the mind of GPT-7. They discuss how long context links can enhance AI's capabilities and explore the complexities of memory, reasoning, and the nature of intelligence in both humans and machines. The pair also tackles the challenges of AI alignment, potential superintelligence, and the importance of interpretability, all while sharing personal journeys through the quickly evolving landscape of AI.
AI Snips
Chapters
Books
Transcript
Episode notes
Long Context Windows
- Long context windows dramatically improve model intelligence by instantly solving the onboarding problem.
- This allows models to integrate vast amounts of information, like entire codebases, becoming dramatically better at prediction.
Superhuman Language Learning
- A small demonstration showed an LLM learning a new language in context better than human experts over months.
- This language was esoteric and not included in the training data, showcasing in-context learning abilities.
In-Context Learning as Gradient Descent
- In-context learning can be viewed as similar to gradient descent on in-context data.
- This means the model learns on-the-fly from the provided examples, similar to how gradient descent updates weights.
