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Extraction Summary

2
People
4
Organizations
0
Locations
1
Events
2
Relationships
4
Quotes

Document Information

Type: Email/correspondence (part of house oversight committee production)
File Size: 2.81 MB
Summary

This document is a page from a correspondence (likely an email found in the House Oversight production) discussing the intersection of neuroscience, artificial intelligence, and linguistics. It references Google's DeepMind acquisition, specific machine learning milestones from 2015, and Noam Chomsky's linguistic theories, while also forwarding a controversial hypothesis linking race, motor development, and IQ. The document includes Bates stamp HOUSE_OVERSIGHT_025964.

People (2)

Name Role Context
Noam Linguist/Academic (Implied Noam Chomsky)
His criticism of machine translation is discussed regarding Latent Semantic Analysis models.
Unknown Sender/Recipient Correspondents
Individuals discussing AI, neuroscience, and controversial theories regarding race and IQ.

Organizations (4)

Name Type Context
Google
Mentioned regarding their photo app, image recognition, and acquisition of DeepMind.
DeepMind
Mentioned regarding their Atari game learning program and acquisition by Google for 500M.
WSJ (Wall Street Journal)
Source of a linked article.
CreativeAI
Source of a linked article regarding deep generator networks.

Timeline (1 events)

July 1, 2015
Google photo app mistakenly tags black people as gorillas.
Online

Relationships (2)

Google Acquisition DeepMind
the feat that gave DeepMind 500M from Google
Noam (Chomsky) Critic Google
Noam's criticism of machine translation mostly applies to the Latent Semantic Analysis models that Google and others have been using

Key Quotes (4)

"In humans, it is reflected for instance by the fact that races with faster motor development have lower IQ."
Source
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Quote #1
"A machine learning program that can learn how to play an Atari game without any human supervision... now just takes about 130 lines of Python code."
Source
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Quote #2
"Noam's criticism of machine translation mostly applies to the Latent Semantic Analysis models that Google and others have been using for many years."
Source
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Quote #3
"Motivation tells the brain what to pay attention to, by giving reward and punishment."
Source
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Quote #4

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