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2.44 MB
Extraction Summary
2
People
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Organizations
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Locations
1
Events
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Relationships
4
Quotes
Document Information
Type:
Book page / manuscript excerpt (house oversight evidence)
File Size:
2.44 MB
Summary
This document appears to be page 117 of a book or essay discussing the philosophy and technical evolution of Artificial Intelligence (AI), specifically deep learning and neural networks. It covers concepts such as the 'curse of dimensionality,' the shift from imperative to generative design, and the 'black box' nature of AI decision-making. The page is stamped 'HOUSE_OVERSIGHT_016920', indicating it is part of a production of documents for a congressional investigation, likely related to Jeffrey Epstein's ties to the scientific community or academia.
People (2)
| Name | Role | Context |
|---|---|---|
| Wiener | Scientist/Mathematician |
Referenced regarding the role of feedback in machine learning.
|
| The Author ('I') | Narrator/Manager |
Mentions managing a difficult research project pairing data scientists with AI pioneers.
|
Timeline (1 events)
Unknown (Past)
A research project managed by the author that paired data scientists with AI pioneers.
Unknown
The Author
Data Scientists
AI Pioneers
Relationships (1)
The Author
→
Professional/Managerial
→
Data Scientists/AI Pioneers
One of the most difficult research projects I’ve managed paired what we’d now call data scientists with AI pioneers.
Key Quotes (4)
"The “deep” part of deep learning refers not to the (hoped-for) depth of insight but to the depth of the mathematical network layers used to make predictions."Source
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Quote #1
"This is called the curse of dimensionality."Source
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Quote #2
"What’s the value of a chess-playing computer if you can’t explain how it plays chess? The answer of course is that it can play chess."Source
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Quote #3
"We come to trust (or not) brains and computer chips alike based on experience that tests them rather than on explanations for how they work."Source
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Quote #4
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