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2.28 MB
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Document Information
Type:
Scientific/technical paper (book excerpt)
File Size:
2.28 MB
Summary
This document is page 319 of a technical book or paper regarding Artificial Intelligence architecture, specifically discussing 'CogPrime,' 'MindAgents,' and 'Self-Modification via Supercompilation.' It outlines technical theories on how an AI system can learn cognitive schemas to replace hard-wired agents. While the text itself contains no specific names or dates, the Bates stamp 'HOUSE_OVERSIGHT_013235' indicates it was part of the House Oversight Committee's investigation, likely included in files related to Epstein's funding of or interest in AI research (such as Ben Goertzel's OpenCog project).
Organizations (2)
| Name | Type | Context |
|---|---|---|
| House Oversight Committee |
Source of the document (indicated by Bates stamp)
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| CogPrime |
Subject of the technical discussion
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Key Quotes (3)
"Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, leaving the system to operate almost entirely based on cognitive schemata."Source
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Quote #1
"Now we turn to a very different form of advanced self-modification: supercompilation."Source
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Quote #2
"A 50x speedup in some cognitive process can enable that process to give much smarter answers, which can then elicit different behaviors from the world or from other cognitive processes, thus resulting in a qualitatively different overall cognitive dynamic."Source
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Quote #3
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