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1.84 MB
Extraction Summary
4
People
2
Organizations
3
Locations
0
Events
2
Relationships
3
Quotes
Document Information
Type:
Scientific/academic manuscript or book page
File Size:
1.84 MB
Summary
This document appears to be page 27 of a scientific or philosophical manuscript (possibly a book draft) discussing Artificial Intelligence, Machine Learning, and Causal Inference. The text argues that 'Strong AI' requires more than just data processing ('Babylonian data-fitting'); it requires causal models and theoretical understanding ('Athens'). It cites Harvard scientist Gary King and philosopher Stephen Toulmin. The document bears a House Oversight Bates stamp, suggesting it was obtained during an investigation, likely related to Jeffrey Epstein's funding of scientific research, though Epstein is not explicitly mentioned on this specific page.
People (4)
| Name | Role | Context |
|---|---|---|
| Gary King | Social Scientist |
Harvard social scientist quoted regarding causal inference.
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| Stephen Toulmin | Philosopher |
Author of 'Foresight and Understanding' (1961), referenced for his comparison of Greek and Babylonian sciences.
|
| Eratosthenes | Ancient Scientist |
Historical figure (276-194 BC) mentioned for calculating the circumference of the Earth.
|
| Author (Unnamed) | Writer/Researcher |
First-person narrator ('I ask myself', 'My general conclusion') discussing AI and causal inference.
|
Organizations (2)
| Name | Type | Context |
|---|---|---|
| Harvard |
Affiliation of Gary King.
|
|
| House Oversight Committee |
Referenced in the Bates stamp (HOUSE_OVERSIGHT).
|
Relationships (2)
Author quotes King to support the concept of the 'Causal Revolution'.
Author references Toulmin's 1961 book to discuss scientific methodology.
Key Quotes (3)
"More has been learned about causal inference in the last few decades than the sum total of everything that had been learned about it in all prior recorded history."Source
— Gary King
(Quoted by the author regarding the 'Causal Revolution'.)
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Quote #1
"Opaque learning systems may get us to Babylon, but not to Athens."Source
— Author
(Concluding thought on the limitations of data science without causal models.)
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Quote #2
"My general conclusion is that human-level AI cannot emerge solely from model-blind learning machines; it requires the symbiotic collaboration of data and models."Source
— Author
(Thesis statement regarding Artificial Intelligence.)
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Quote #3
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