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2.28 MB
Extraction Summary
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Quotes
Document Information
Type:
Academic text / scientific paper / book chapter (evidence file)
File Size:
2.28 MB
Summary
This document appears to be page 162 from a scientific book or academic paper discussing Artificial General Intelligence (AGI), specifically Chapter 9.2 regarding properties of the everyday world that structure intelligence. It discusses concepts such as hierarchical patterns, 'dual networks,' and symmetry groups, and cites researcher Ben Kuipers. The document bears a 'HOUSE_OVERSIGHT_013078' footer, indicating it was included in a document production for a House Oversight Committee investigation, likely related to Jeffrey Epstein's connections to the scientific community (e.g., funding or conferences), though Epstein is not mentioned on this specific page.
People (1)
| Name | Role | Context |
|---|---|---|
| Ben Kuipers | Researcher/Scientist |
Cited in the text for work done with colleagues regarding learning algorithms inferring structure of space and time.
|
Relationships (1)
Text mentions 'Ben Kuipers and his colleagues have done some interesting work'
Key Quotes (4)
"The propensity to search for hierarchical patterns is one huge potential example of an abstract everyday-world property."Source
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Quote #1
"Another high level property of the everyday world may be that dual network structures are prevalent."Source
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Quote #2
"We agree in principle, and in fact Ben Kuipers and his colleagues have done some interesting work in this direction..."Source
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"It may be that the problem of inferring these properties is so hard as to require a wildly infeasible AIXI^tl / Godel Machine type system."Source
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Quote #4
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