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1.58 MB

Extraction Summary

2
People
1
Organizations
0
Locations
1
Events
1
Relationships
2
Quotes

Document Information

Type: Email
File Size: 1.58 MB
Summary

This document is an email from an individual named 'Joscha' to an entity associated with Jeffrey E. Epstein ('JEE'). In the email, Joscha discusses his work in cognitive science and AI, mentioning a model he calls 'request-confirmation networks' which he presented at a NIPS workshop. The email contains a repeated legal disclaimer identifying the communication as confidential, the property of 'JEE', and providing the contact email jeevacation@gmail.com.

People (2)

Name Role Context
Joscha Sender
Sender of the email discussing concepts in cognitive science and AI.
JEE (Jeffrey E. Epstein) Owner of Communication / Implied Recipient
The email is stated to be the property of 'JEE'. The contact email provided in the disclaimer, jeevacation@gmail.com,...

Organizations (1)

Name Type Context
NIPS
A workshop where Joscha introduced his 'request-confirmation networks'. NIPS stands for Neural Information Processing...

Timeline (1 events)

last the December (relative)
Joscha introduced his 'request-confirmation networks' model at a NIPS workshop.
NIPS workshop

Relationships (1)

Joscha Correspondent JEE (Jeffrey E. Epstein)
Joscha sent an email discussing academic/scientific topics to an address/entity associated with Jeffrey Epstein (JEE).

Key Quotes (2)

"The 'request-confirmation networks' that I have introduced at a NIPS workshop in last the December are an attempt at modeling how the higher layers might self-organize into cognitive programs."
Source
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Quote #1
"The information contained in this communication is confidential... It is the property of JEE"
Source
HOUSE_OVERSIGHT_026418.jpg
Quote #2

Full Extracted Text

Complete text extracted from the document (2,049 characters)

objects and processes look like and how they interact. Concepts are probably one of the top layers of the
learning hierarchy, i.e. they are acquired *after* we learn to simulate a mental world, not before. Classical
linguists ignored the simulation of a mental world entirely.
It seems miraculous that purely conceptual machine translation works at all, but that is because concepts are
shared between speakers, so the structure of the conceptual space can be inferred from the statistics of
language use. But the statistics of language use have too little information to infer what objects look like
and how they interact.
My own original ideas concern a few parts of the emerging understanding of what the brain does. The
"request-confirmation networks" that I have introduced at a NIPS workshop in last the December are an
attempt at modeling how the higher layers might self-organize into cognitive programs.
Cheers!
Joscha
--
please note
The information contained in this communication is
confidential, may be attorney-client privileged, may
constitute inside information, and is intended only for
the use of the addressee. It is the property of
JEE
Unauthorized use, disclosure or copying of this
communication or any part thereof is strictly prohibited
and may be unlawful. If you have received this
communication in error, please notify us immediately by
return e-mail or by e-mail to jeevacation@gmail.com, and
destroy this communication and all copies thereof,
including all attachments. copyright -all rights reserved
--
please note
The information contained in this communication is
confidential, may be attorney-client privileged, may
constitute inside information, and is intended only for
the use of the addressee. It is the property of
JEE
Unauthorized use, disclosure or copying of this
communication or any part thereof is strictly prohibited
and may be unlawful. If you have received this
communication in error, please notify us immediately by
return e-mail or by e-mail to jeevacation@gmail.com, and
HOUSE_OVERSIGHT_026418

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