HOUSE_OVERSIGHT_026417.jpg
2.85 MB
Extraction Summary
1
People
2
Organizations
0
Locations
0
Events
2
Relationships
4
Quotes
Document Information
Type:
Briefing document or essay excerpt
File Size:
2.85 MB
Summary
This document compares the prolonged developmental period in humans to that of gorillas, suggesting the extended learning phase allows for greater cognitive abstraction. It discusses the role of motivation and reward systems in learning, drawing parallels to machine learning advancements like Google's image recognition and DeepMind's Atari-playing AI. The text concludes by noting the limitations of current AI models and referencing Noam Chomsky's criticism of machine translation.
People (1)
| Name | Role | Context |
|---|---|---|
| Noam |
Relationships (2)
→
Received 500M from (implying investment or acquisition)
→
→
Developed automatic image recognition for its photo app
→
Key Quotes (4)
"Human children are pretty much useless during the first 10-12 years, but during each phase, their brains have the opportunity to encounter many times as much training data as a gorilla brain."Source
HOUSE_OVERSIGHT_026417.jpg
Quote #1
"Motivation tells the brain what to pay attention to, by giving reward and punishment."Source
HOUSE_OVERSIGHT_026417.jpg
Quote #2
"A machine learning program that can learn how to play an Atari game without any human supervision or hand-crafted engineering (the feat that gave DeepMind 500M from Google) now just takes about 130 lines of Python code."Source
HOUSE_OVERSIGHT_026417.jpg
Quote #3
"Noam's criticism of machine translation mostly applies to the Latent Semantic Analysis models that Google and others have been using for many years."Source
HOUSE_OVERSIGHT_026417.jpg
Quote #4
Discussion 0
No comments yet
Be the first to share your thoughts on this epstein document