NYU
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This document is a page from a court transcript filed on March 21, 2022, featuring the direct examination of attorney Barry H. Berke by Mr. Shechtman. Berke testifies about his employment history at the law firm Kramer, Levin, Naftalis & Frankel and the Federal Defenders office, and confirms he was a lawyer present in the courtroom during the trial of David Parse. The document bears a DOJ-OGR bates stamp, suggesting it was released as part of a Department of Justice records request.
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This document is a court transcript from a case filed on February 24, 2012, detailing the direct examination of witness Barry H. Berke. Mr. Berke, a partner at the law firm Kramer, Levin, Naftalis & Frankel, outlines his legal career, including his time as a judicial clerk, a lawyer with the Federal Defenders, and a professor at NYU. He also confirms his prior involvement as a lawyer in a trial concerning the defendant, David Parse.
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This document is page 70 from the book 'How America Lost Its Secrets' by Edward Jay Epstein (indicated by the filename 'Epst_...'). It details the coordination between Edward Snowden, Laura Poitras, and Barton Gellman regarding the leak of NSA documents. It describes Poitras using anti-surveillance tradecraft to meet Gellman in NYC to offer him the story for The Washington Post. The document bears a House Oversight Committee stamp.
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This FBI document, dated September 18, 2006, serves to set a lead for the investigation into Jeffrey Epstein regarding child prostitution. It notes that the investigation was opened on July 24, 2006, by the Palm Beach County Resident Agency. The document provides a biographical summary of Epstein, detailing his birth, education at Cooper Union and NYU (without degrees), teaching career at the Dalton School, and transition to Bear Stearns in 1976.
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This document appears to be a page (155) from a book or academic text regarding Artificial Intelligence, specifically comparing bottom-up systems (like AlphaZero) with Top-down Bayesian Models. It discusses the challenges of computer vision compared to human learning and cites research by Brenden Lake (NYU), Ruslan Salakhutdinov, and Joshua B. Tenenbaum published in 2015. The page bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was produced as part of a congressional investigation, likely related to scientific funding or research connections (common in the context of Epstein's ties to academia/MIT), though Epstein is not mentioned on this specific page.
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The author, likely Alan Dershowitz, reflects on his early career at Harvard Law School, recounting his tenure process involving a critical article on law and psychiatry and his mentor Judge Bazelon. He details a salary negotiation that led to a universal raise for faculty, coined "the Dershowitz bump," and lists his prolific writing output and the diverse range of courses he has taught.
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This document is a printed schedule or list of high-profile social events and galas in New York City, marked with the House Oversight identifier 029842. It details events for organizations including the Agape International Spiritual Center, City Parks Foundation, Greater New York Construction User Council, ABWA, UJA-Federation, and amfAR, occurring around 2011. The entries list ticket prices, hosts, honorees (such as James Franco, Michael Kors, and Tim Armstrong), and locations including MoMA, The Pierre Hotel, and Chelsea Piers.
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This document, stamped HOUSE_OVERSIGHT_025876, contains a list of probing biographical and investigative questions directed at Jeffrey Epstein. It covers his early life, education, time at Bear Stearns, high-profile connections (Clinton, Barak, Google founders, Princess Diana), real estate holdings (Paris, Manhattan), and allegations regarding 'Jack Shacks' and police investigations in Palm Beach. The questions appear to be prepared for an interview or deposition, specifically referencing media profiles by Vanity Fair and New York Magazine.
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This document is page 100 of a larger file stamped by the House Oversight Committee (HOUSE_OVERSIGHT_021346). It contains a bibliography/reference list of academic publications ranging from 1980 to 2008, covering topics such as psychology, law, and animal rights. The page lists citations 16 through 22, including works by notable academics such as Cass Sunstein and Martha Nussbaum, but does not contain direct communications or narrative text regarding Jeffrey Epstein.
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This document appears to be a page from a news briefing or market analysis report included in a House Oversight Committee investigation (indicated by the footer). It focuses on the economic outlook for major US tech companies (FAANG), citing regulatory scrutiny from the Trump administration and Europe, as well as market volatility. It features quotes from financial strategists at Morgan Stanley, Mayflower Advisors, and NYU Stern regarding the potential for an economic slowdown and its impact on the tech sector.
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This document appears to be a financial news briefing or newsletter segment contained within House Oversight Committee files (Bates stamped HOUSE_OVERSIGHT_033421). It analyzes the performance and regulatory risks of 'FAANG' stocks (Facebook, Amazon, Apple, Netflix, Google), citing potential anti-trust investigations by the Trump administration and the EU. It contrasts bearish views from analysts at Morgan Stanley and Mayflower Advisors with a more bullish long-term view from an NYU economics professor regarding the resilience of digital ad revenue.
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This document is an email thread from October 30, 2018, in which Edward Rød Larsen sends draft college application essays for NYU to Jeffrey Epstein (using the alias 'jeevacation'). Epstein acts as an editor, providing specific phrasing changes to the conclusion of the first essay. The essays reveal Larsen's background living in Oslo, Tel Aviv, NYC, and London, his interest in Art History, and the fact that his mother was scheduled to become the Norwegian Ambassador to the UN in January 2019.
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An email exchange between Edward Rød Larsen and Jeffrey Epstein regarding edits to college application essays for NYU. Epstein suggests a specific change to the conclusion of 'Essay 1', and the thread includes the full draft text of two essays focusing on Art History, international background, and 20th-century ideological history.
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An email from Edward Rød Larsen to Jeffrey Epstein containing two draft essays for a college application to NYU (Early Decision). The essays discuss Larsen's international upbringing, his mother's upcoming role as Norwegian Ambassador to the UN, his interest in Art History, and a second essay analyzing political art and ideology in the 20th century. The document suggests Epstein acted in an advisory capacity regarding Larsen's education.
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This document page, bearing a House Oversight stamp, details the legal maneuvering surrounding Edward Snowden's NSA leaks. It focuses on the involvement of ACLU lawyer Ben Wizner, who was brought in by journalists Laura Poitras and Glenn Greenwald to represent Snowden. The text outlines the legal challenges Wizner faced in seeking amnesty for Snowden, particularly distinguishing Snowden's actions from previous whistleblowers and managing the narrative regarding whether classified documents were taken to Russia.
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This document page, stamped 'HOUSE_OVERSIGHT', narrates the coordination between Edward Snowden and Laura Poitras during the early stages of the NSA leaks (circa 2013). It details Snowden's instructions for Poitras to recruit journalist Glenn Greenwald (for access to The Guardian) and Barton Gellman (for access to The Washington Post). The text describes the tradecraft and precautions Poitras utilized during a clandestine meeting with Gellman in Lower Manhattan to discuss the classified documents.
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This text discusses advancements and challenges in artificial intelligence, contrasting bottom-up systems like AlphaZero with top-down Bayesian models. It highlights the difficulty computers face with tasks trivial to humans, such as image recognition, and explores how Bayesian models address hypothesis testing and concept generation. The text also references research by Brenden Lake and colleagues on using top-down methods for character recognition.
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