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Type: Academic literature / book page
File Size: 2.22 MB
Summary

This document is page 159 from a scientific text regarding Artificial General Intelligence (AGI). It discusses the concept of 'tricky cognitive synergy,' arguing that creating components for human-level AGI is inherently more difficult than creating narrow AI, and that a lack of intermediate progress results does not necessarily indicate failure. The document mentions 'CogPrime,' an AI architecture, and bears the stamp 'HOUSE_OVERSIGHT_013075,' indicating it was part of documents reviewed by the House Oversight Committee, likely in relation to Jeffrey Epstein's funding of or interest in scientific research.

Organizations (2)

Name Type Context
CogPrime
AGI community

Key Quotes (3)

"The tricky cognitive synergy hypothesis would be true if, for example... creating components to serve as parts of a synergetic AGI is harder than creating components intended to serve as parts of simpler AI systems without synergetic dynamics"
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Quote #1
"In a CogPrime context, these possibilities ring true, in the sense that tailoring an AI process for tight integration with other AI processes within CogPrime, tends to require more work than preparing a conceptually similar AI process for use on its own"
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Quote #2
"Lack of impressive intermediary results may not imply one is on a wrong development path; and comparison with narrow AI systems on specific tasks may be badly misleading as a gauge of incremental progress toward human-level AGI."
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Quote #3

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