epstein-index / content-documents /house-oversight-nov /2a /HOUSE_OVERSIGHT_016333.md
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---
title: "House Oversight: Estate Documents (Nov 12) (HOUSE_OVERSIGHT_016333)"
source: "House Oversight: Estate Documents (Nov 12)"
sourceUrl: "https://www.justice.gov/epstein"
date: "2026-01-01"
category: "House Oversight"
eftaNumber: "HOUSE_OVERSIGHT_016333"
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engine: "engine undisclosed (ep-nov-12.greg.technology mirror)"
externalSource: "greg-ep-nov-12"
externalLicense: "not granted"
externalCredit: "ep-nov-12.greg.technology"
externalUrl: "https://ep-nov-12.greg.technology"
---
To be sure, some recent achievements in artificial intelligence have been
remarkably impressive. Computers can now produce visual artworks and musical
compositions akin to those of recognized masters, creating just the sort of "information"
that Wiener most prized. But by far the largest impact on society to date has come from
the collection and manipulation of Shannon-like information, which has reshaped our
shopping habits, political participation, personal relationships, expectations of privacy,
and more.
What might "deep learning" evolve into, if the fundamental currency becomes
"information" as Wiener defined it? How might the field shift if re-animated by
Wiener's deep moral convictions, informed as they were by his prescient concerns about
rampant militarism, runaway corporate profit-seeking, the self-limiting features of
secrecy, and the reduction of human expression to interchangeable commodities?
Perhaps "deep learning" might then become the cultivation of meaningful information
rather than the relentless pursuit of potent, if meaningless, bits.
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