A cab driver, a day care provider, and two professors broke into an FBI office in Media, Pennsylvania, and stole more than 1,000 classified documents.

COINTELPRO The FBI began COINTELPRO—short for Counterintelligence Program—in 1956 to disrupt the activities of the Communist Party of the United States. In the 1960s, it was expanded to include a number of other domestic groups, such as the Ku Klux Klan, the Socialist Workers Party, and the Black Panther Party. All COINTELPRO operations were ended in 1971. Although limited in scope (about two-tenths of one percent of the FBI’s workload over a 15-year period), COINTELPRO was later rightfully criticized by Congress and the American people for abridging first amendment rights and for other reasons.

COINTELPRO (syllabic abbreviation derived from Counter Intelligence Program; 1956–1971) was a series of covert and illegal projects actively conducted by the United States Federal Bureau of Investigation (FBI) aimed at surveilling, infiltrating, discrediting, and disrupting domestic American political organizations. FBI records show COINTELPRO resources targeted groups and individuals the FBI deemed subversive, including feminist organizations, the Communist Party USA, anti–Vietnam War organizers, activists of the civil rights and Black power movements (e.g. Martin Luther King Jr., the Nation of Islam, and the Black Panther Party), environmentalist and animal rights organizations, the American Indian Movement (AIM), Chicano and Mexican-American groups like the Brown Berets and the United Farm Workers, independence movements (including Puerto Rican independence groups such as the Young Lords and the Puerto Rican Socialist Party), a variety of organizations...

We've co-authored a paper that forecasts how malicious actors could misuse AI technology, and potential ways we can prevent and mitigate these threats. This paper is the outcome of almost a year of sustained work with our colleagues at the Future of Humanity Institute, the Centre for the Study of

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization.

“Bad enough to have to deal with Russian Ops and the Alt-Right, but now we have to deal with Chinabots as well.”