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Shane Legg

Person
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person Marcus Hutter
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person Marcus Hutter
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person Marcus Hutter
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HOUSE_OVERSIGHT_013263.jpg

This document is a bibliography page (numbered 347) containing academic citations related to artificial intelligence, robotics, cognitive science, and philosophy. It specifically references works by notable figures such as Ray Kurzweil, Yann LeCun, Bill Joy, and Shane Legg, covering topics like the 'Singularity', 'Friendly AI', and neural networks. The document bears a Bates stamp 'HOUSE_OVERSIGHT_013263', indicating it is part of a collection of records reviewed by the House Oversight Committee, possibly related to investigations into Jeffrey Epstein's connections with the scientific community.

Bibliography / reference list (government record)
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_013258.jpg

This document appears to be page 342 of a technical glossary related to Artificial General Intelligence (AGI), specifically referencing the OpenCog and Webmind systems. It defines technical terms such as 'Syntax-Semantics Correlation,' 'Temporal Inference,' and 'Universal Intelligence' (referencing researchers Shane Legg and Marcus Hutter). The document bears a 'HOUSE_OVERSIGHT_013258' stamp, indicating it was included in evidence files, likely establishing the scientific projects or individuals (such as those involved with Webmind/OpenCog) that Jeffrey Epstein may have funded or communicated with.

Technical glossary / scientific manuscript page (evidence file)
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_013051.jpg

This document is page 135 of an academic text (likely a book or thesis) regarding Artificial General Intelligence (AGI). It discusses formal definitions of intelligence, citing researchers Shane Legg and Marcus Hutter, and introduces concepts like 'universal intelligence' and 'pragmatic general intelligence.' The document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was collected as part of a House Oversight Committee investigation, likely related to Jeffrey Epstein's funding of or connections to the scientific and AI community.

Academic text / book chapter (evidence production)
2025-11-19
Analysis Source
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