HOUSE_OVERSIGHT_016374.jpg
Extraction Summary
2
People
3
Organizations
0
Locations
2
Events
3
Relationships
3
Quotes
Document Information
Type:
Exceprt from a book or report on artificial intelligence history and methodology
File Size:
Summary
This document discusses the history and mechanics of AI learning methods, specifically focusing on "bottom-up deep learning" and "reinforcement learning." It references historical figures like B.F. Skinner and modern achievements by Google's DeepMind, such as AlphaZero and Atari game playing, to illustrate how computers detect patterns and learn through reward systems.
People (2)
| Name | Role | Context |
|---|---|---|
| B. F. Skinner | ||
| John Watson |
Organizations (3)
| Name | Type | Context |
|---|---|---|
| DeepMind | ||
| House Oversight |
Timeline (2 events)
1980s revival of connectionist architecture
1950s B.F. Skinner pigeon experiments
Relationships (3)
→
→
→
→
→
→
Key Quotes (3)
"But there is nothing profoundly new about the methods themselves."Source
HOUSE_OVERSIGHT_016374.jpg
Quote #1
"The essential idea was that actions that were rewarded would be repeated and those that were punished would not, until the desired behavior was achieved."Source
HOUSE_OVERSIGHT_016374.jpg
Quote #2
"Computers are designed to perform simple operations over and over on a scale that dwarfs human imagination"Source
HOUSE_OVERSIGHT_016374.jpg
Quote #3
Discussion 0
No comments yet
Be the first to share your thoughts on this epstein document