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Gottfried Leibniz

Person
Mentions
8
Relationships
3
Events
2
Documents
3
Also known as:
Gottfried Leibniz/John Wilkins
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3 total relationships
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Documents Actions
person John Wilkins
Unknown
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1
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person Isaac Newton
Academic rivals
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person Speaker
Intellectual historical reference
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Date Event Type Description Location Actions
N/A N/A Gottfried Leibniz, John Wilkins, and others worked on 'philosophical languages'. Historical context View
2025-11-17 N/A Committee review of Leibniz's work on calculus, chaired by Newton. Historical View

HOUSE_OVERSIGHT_016989.jpg

This document appears to be page 186 of a larger file produced for the House Oversight Committee (Bates stamp HOUSE_OVERSIGHT_016989). The text is a transcript or essay by an unnamed computer scientist (likely discussing Wolfram Alpha or similar technology) describing the mechanics of neural networks, image recognition training using GPUs, and the creation of a symbolic language for AI. It draws comparisons between modern AI development and the 'philosophical languages' proposed by Gottfried Leibniz and John Wilkins in the 17th century. There is no mention of Jeffrey Epstein, his associates, or criminal activity on this specific page.

Transcript / interview / essay (part of house oversight committee production)
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_016009.jpg

This document appears to be a page from a book or manuscript (page 319, titled 'Free Will') discussing the physics of light, photons, and the observer effect. It includes a historical anecdote about Isaac Newton's rivalry with Leibniz and his role at the Royal Mint. The document bears a 'HOUSE_OVERSIGHT' stamp, indicating it was included as evidence in a congressional investigation, likely related to the Jeffrey Epstein case (possibly reflecting his interest in science or materials found in his possession).

Book excerpt / manuscript page / evidence exhibit
2025-11-19
Analysis Source

HOUSE_OVERSIGHT_016406.jpg

The speaker discusses the development of a large-scale neural network trained on millions of images to mimic human visual recognition, comparing its complexity to the human brain's visual cortex. The text then transitions to the challenge of creating a precise symbolic language for human-machine communication to represent everyday concepts and desires, drawing parallels to historical attempts at 'philosophical languages' by figures like Gottfried Leibniz and John Wilkins in the 1600s.

Transcript/testimony
2025-11-19
Analysis Source
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