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Stephan Vladimir Bugaj

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person Joel Pitt
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HOUSE_OVERSIGHT_013205.jpg

This document is the first page of Chapter 16, titled "AGI Preschool," co-authored with Stephan Vladimir Bugaj. It introduces the challenges of evaluating Artificial General Intelligence (AGI), contrasting the difficulty of creating precise quantitative metrics with the practical necessity of qualitative evaluation environments for systems like OpenCogPrime. The authors argue that rigorous testing of incomplete systems is less valuable than finishing the implementation, but emphasize the need for rich environments to intuitively understand complex system behaviors.

Book chapter page / academic text
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_013121.jpg

This document is page 205 of a book or academic manuscript (Chapter 12), stamped as evidence by the House Oversight Committee. It discusses the engineering of ethics in Artificial General Intelligence (AGI), specifically regarding the 'CogPrime' architecture. The text argues that ethics cannot be an add-on module but must be integral to the design process, and outlines five key risks associated with AGI development, including systems going rogue or the moral implications of AGI 'slavery'. While Jeffrey Epstein is not named on this specific page, the document is likely part of the investigation into his funding of scientific research and AI projects.

Book chapter / academic manuscript
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_013103.jpg

This document is page 187 of a book or academic paper titled 'Chapter 11: Stages of Cognitive Development,' co-authored with Stephan Vladimir Bugaj. The text discusses Artificial General Intelligence (AGI) and the importance of environmental interaction and 'development' in creating intelligence, drawing analogies to human infancy and referencing Piaget's theories. The document bears the Bates stamp 'HOUSE_OVERSIGHT_013103,' indicating it was collected as evidence by the House Oversight Committee, likely in relation to Jeffrey Epstein's connections to the scientific community or AI research funding.

Book chapter / academic text (evidence file)
2025-11-19
Analysis Source
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