| Connected Entity | Relationship Type |
Strength
(mentions)
|
Documents | Actions |
|---|---|---|---|---|
|
person
Jeffrey Epstein
|
Social professional association |
1
|
1 | |
|
person
Sergei Brin
|
Business associate |
1
|
1 |
| Date | Event Type | Description | Location | Actions |
|---|---|---|---|---|
| N/A | N/A | Seminar-MONEY | Unknown | View |
| N/A | N/A | A dinner or meeting attended by Jeffrey Epstein and Eric Schmidt. | Unknown interior setting | View |
| 2011-02-01 | N/A | Party for Kathy Freston's book 'Veganist' | Arianna Huffington's house,... | View |
| 2008-01-01 | N/A | A high-profile gathering/event where tech leaders and political figures were present. | Unspecified outdoor area | View |
This document is an email from Lesley Groff to Jeffrey Epstein dated March 19, 2012, containing a proposed invite list for a 'Seminar-MONEY'. The list includes high-profile technology and business figures such as Bill Gates, Jeff Bezos, Sergey Brin, Larry Page, and Peter Thiel. The email also references a second seminar topic ('POWER') and asks if Ian Osborne should be added to both lists.
This document discusses the philosophical and practical differences between traditional computing and modern machine learning, highlighting the "black box" nature of deep neural networks. It expresses skepticism about the near-term feasibility of Artificial General Intelligence (AGI) due to our limited understanding of the human brain's complexity and consciousness. The text emphasizes the necessity for collaboration between AI researchers and neuroscientists to advance both fields, citing examples of prominent figures who bridge these disciplines.
This document is an email thread from December 2011 between literary agent John Brockman and Jeffrey Epstein. Brockman originally sent a mass invitation to a 'Who's Who' of tech and science leaders (including Gates, Bezos, Musk, Zuckerberg) to answer the Edge.org 2012 Annual Question. Epstein responded with a philosophical paragraph about biology being based in deception, to which Brockman replied encouragingly, 'Keep it coming.'
This document, stamped with a House Oversight footer, appears to be a narrative account of a high-profile gathering in 2008. It details a heated argument between Google executives Sergei Brin and Eric Schmidt over a controversial New Yorker cover featuring the Obamas. It also describes Mark Zuckerberg yelling at magazine editor Steven Beschloss about the sub-prime mortgage crisis, blaming industry subscribers for the 'mental recession' and even the mosquitoes.
This document, stamped HOUSE_OVERSIGHT_013833, appears to be an excerpt from an article or report detailing a 'High-Tech Entrepreneurship' class taught by Professor Ed Zschau involving guest lecturer Tim Ferriss. The text describes a contest where students were challenged to cold-contact high-profile individuals. It details the success stories of students Marrinan (who contacted Komisar and Schmidt) and Nathan Kaplan (who contacted former Newark Mayor Sharpe James using campaign finance data). The document focuses on networking techniques and persistence.
This document appears to be a diary entry or social report written by an industry insider during the 2011 Oscar season. It details the intense campaigning between 'The King's Speech' (backed by Harvey Weinstein) and 'The Social Network', culminating in a trip to Los Angeles where the author stays at the Beverly Hills Hotel and attends a high-profile party at Arianna Huffington's home attended by major tech and media moguls including Jeff Bezos, Eric Schmidt, and Bob Iger.
This text explores the philosophical and practical distinctions between human cognition and machine learning, expressing skepticism about the imminence of Artificial General Intelligence (AGI) due to our limited understanding of the human brain. It highlights the "black box" nature of deep neural networks and argues that future advancements in AI will require closer collaboration between computer scientists and neuroscientists. The author cites the complexity of simple human tasks and the backgrounds of leading AI researchers to support the need for interdisciplinary study.
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